Accelerating Business Ambitions Through Technology Innovation

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Accelerating Business Ambitions Through
Technology Innovation
1010Best Performing
&&BIG DATA
BUSINESS ANALYTICS
BIG DATA
BUSINESS ANALYTICS
Companies 2017
The
Industry Insight
An Insight on the Opportunities
in the Big Data Industry
Data Talk
Big Data Transforming
Businesses Altogether
Jason Goodall
Group Chief Executive Ofcer
July 2017July 2017

Editorial
Calibrating Our
Cynosure Back to
the ‘Data’
illiam Edwards Deming, a popular American statistician,
Wauthor and professor, is famous for deriving the “Plan-
Do-Check-Act” cycle popularly named after him, and is
also credited for the well-known quote among data enthusiasts: “In
God we trust; all others must bring data.” After all the evident
insights, we would agree that ‘data-driven decision making’ is far
supercilious to other forms of making decisions. However, the key to
use data for appraising best decisions doesn’t solely lie in the ‘data’
part of the equation.
Modern businesses today have more ways than ever to slice-and-dice
their data, varying across advanced Business Intelligence tooling to
Machine Learning and Artificial Intelligence. As data scientists and
business leaders grip on the great potential of these new technologies,
there’s a risk of losing sight on what’s most important: the ‘data’
itself. Nevertheless, fancy visualizations and predictive analytics
don’t matter without the right data powering them.
Every single business needs to prioritize structuring and collection of
their underlying data over its analysis. All business mentors need to
make good decisions, and the best decisions are made with user data.
Companies have just arisen to grasp not only the complexity of data,
but also the depth of its affiliation with their own employees. It’s no
longer sufficient to just evaluate the topline metrics at a monthly all-
hands assembly. Organizations must permeate data-driven
progressions into their decision-making.
Businesses must consider all of its data as a huge and growing
collection of opportunities. Every dataset across all verticals – CRM,
CMS, ERP, Marketing software – contains enormous possible
insights. Intuitive findings that seem insignificant now, might matter a
pronounced deal down the road. It’s impossible to percussively know
what data matters, so businesses need to collect as much of it as they
can. This lets businesses retroactively discover acumens, even if their
priorities or market conditions change.
The quality of data is of utmost importance. If you base your
decisions on incomplete data, it becomes tougher to trust the results,
and it eventually grinds down confidence in a data-driven culture.
Clean, complete, and correct data is essential for generating
actionable insights.
Machine learning has been acknowledged with a great deal of hype,
and for good reason. But it cannot live up to its bold potential unless
it’s well-versed by a strong foundation: clean, complete data formed
by an organization that etches data into its culture. The term “data-
driven” has been around for years, but in today’s fast-paced and
progressively digital economy, it needs to become a cultural mandate
for companies everywhere.
Poonam Yadav

about listing
here’s a huge disruption in the work-structure of many organizations due to the availability of data on an
Tunprecedented scale. There’s an immediate rush among the corporates in the society after perceiving the
importance of creating an online (and effective) presence. To accomplish that, from a business perspective,
Big Data is undeniably useful. There’s an eventful transformation in the accuracy of market research through
machine learning algorithms and now businesses can target to suit their personal preferences of individual
customers, using information to gather even more insightful information. Big data has allowed businesses to access
far more info, not only just about their customers but also about themselves. Ultimately, big data provides
businesses with a valuable tool; enabling organizations to generate successful strategies, and bring efficiency
(essentially transparency) that previously was drowned in paperwork. On top of this, it has enhanced the further
adoption of technology (particularly AI and IoT).
So as to prosper, you must embrace digital intelligence by developing a transformational mind-set, deploying new
business models via an agile approach, and cultivate a data-driven culture that permeates throughout the
organization. Herein Insights Success magazine takes the privilege to list out experienced professionals to analyze
your information effectively in its special issue of “The 10 Best Performing Big Data and Business Analytics
Companies 2017”.
As our cover story we have, Dimension Data, a globally-recognized brand helping organizations deliver better
business outcomes and accelerate their ambitions. Dimension Data puts its clients’ business ambitions at the heart
of its services-led approach and technology by providing technical expertise in all relevant technologies: data
centers, networking, cloud and cybersecurity. Apart from Dimension Data, we have some other innovators enlisted
in this issue.
Adaptive provides clients with software solutions and value-adding partnerships that deliver a business discipline
of data governance, control and innovation to the enterprise. Axis Technical Group is a premier technology
services firm, Microsoft Gold Partner and trusted business technology advisor to leading companies in the
Mortgage, Title, Healthcare, Oil & Gas, Entertainment and Financial Services industries. Listed for being the one
among the leaders in cyber security solutions, Lunarline provides customers with strategic solutions to ensure the
data they store, transmit, or process is secure from the beginning. A cloud big data and corporate mobile
development firm, NorthBay is focused on helping companies extend their brands and achieve brand engagement
and loyalty from customers, partners, and vendors. Reltio is the frontrunner in data management with a Modern
Data Management Platform-as-a-Service in the cloud, built on a foundation of technologies designed for big data
scale. Lastly, WonderBi is a Mobile First interactive data analytics solution provider that delivers business insights
which enable business users to take smart ‘in the moment’ decisions.
So, flip through the amazing folios for insights on organizations striving hard to keep-up with the technological
disruption in the industry. Do not miss out on some important executive acumen on “Can Analytics Change the
Way Companies Collaborate and Consume Technology?” by Stephanie L. Carhee, President, UC Interlink and
“Connecting Dark Data with IoT” by Adrian Hinrichsen, Marketing & Business Development Director of
Datumize.
Embracing Digital Intelligence by
Developing a Transformational Mind-set

,7
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Corporate Ofces:
July, 2017
Database Management Steve
Technology Consultant Vishal More
Circulation Manager Robert
Research Analyst Jennifer
Andy, David, Peter,
Kevin, John, Brian
Editor-in-Chief Pooja M. Bansal
Ariana LawrenceSenior Editor
Managing Editor
Co-Editors
David Smith
Contributers
Art & Design Director Amol Kamble
Co-designer Alex Noel
Visualiser David King
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Business Development Executives
Art Editor
Picture Editor
Marketing Manager Philip Walker
Nick Adams
Vinod Alhat
Vanshika Mittal
Kaustav Roy
Poonam Yadav
Abhijeet Parade
Sourav Mukherjee

Jason Goodall
Group Chief Executive Ofcer
Cover Story

Accelerating Business Ambitions Through
Technology Innovation
If you believe you can do anything,
we’re here to help you do it.

The world is currently experiencing levels of change
and disruption never seen before. With a strong
belief that technology can help people stay ahead
and do great things, Dimension Data is helping
organizations deliver better business outcomes and
accelerate their ambitions.
Founded 34 years ago, Dimension Data is a globally-
recognized brand with annual revenues of USD 7.4 billion.
Their more than 6,000 clients include 75 percent of the
Fortune 100 and seven of the top 10 Fortune 500. In 2010,
Nippon Telegraph and Telephone Corporation (NTT), one
of the world’s largest ICT companies, acquired 100 percent
of Dimension Data Plc, making it a wholly-owned
subsidiary of the NTT Group.
Recently named by research firm Frost & Sullivan as the
Systems Integration (SI) Company of the Year for 2017,
Dimension Data’s success as a world-class global SI is tied
to its technical expertise and deep understanding of the
changing market dynamics for their enterprise clients. One
of the biggest challenges these organisations face is with
services integration. As organizations combine
Infrastructure-as-a-Service (IaaS) and Software-as-a-
Service (SaaS) with their legacy infrastructure and
investments, they can find
themselves faced with
interoperability complexities of
hybrid IT — an environment in
which a technology service can be
deployed on-premise, in a public,
private or hybrid cloud, or any
combination of these deployment
models. Dimension Data leverages
the collective expertise of its people,
processes and platforms to help
organisations successfully navigate their digital journeys.
Creating Efficiencies and Optimizing IT for Better
Business Outcomes
Forward-thinking organizations are pursuing a digital
strategy today, whether simply to improve operational
efficiency or to completely transform their business models.
By bringing together consulting, technical support,
managed services and the cloud, Dimension Data’s
services-led approach is helping clients maximize the return
on their legacy investments, while exploiting the
opportunities presented by newer digital technologies. It’s a
powerful mix, and the world’s largest enterprises rely on
Dimension Data as a strategic, trusted partner to manage
their hybrid IT environments.
Dimension Data has the capabilities and expertise to
maximize the value of technology by:
· Designing, implementing, supporting and
managing multivendor solutions.
· Providing technical expertise in all relevant
technologies: data centers, networking, cloud and
cybersecurity.
· Operating to consistent ITIL processes around the
world with advanced levels of automation and
service integration.
· Building services from scratch, optimizing and
supporting existing investments, or taking over the
management of technology and applications – or
any combination in between.
· Covering the full range of hybrid IT: on-premise,
hosted, and cloud services across any device from
desktops to the emerging devices of the Internet of
Things (IoT).
Jason Goodall: An Intuitive and Inventive Technology
Leader for the Digital Age
“Technology used to be about improving efficiency. Now
it’s become the main driver of strategic competitive
advantage,” according to Goodall, whose career with
Dimension Data started in 1998, when he was appointed
Chief Financial Officer at
OmniLink, a Dimension Data
subsidiary which was later
merged with Internet
Solutions.
Goodall believes that
technology today plays a
much more powerful role in
business than it used to.
Traditionally, technology used
to be about keeping the lights on, making things better or
improving efficiency. Now, technology is how Dimension
Data and its clients create value, and for a true digital
business, where the whole business model is built on
information technology, it’s the heart of strategic business
value.
From 2001 to 2003, Goodall held the position of Chief
Operating Officer at Internet Solutions, instrumental in
building the company into a highly profitable and
successful business. He then became Dimension Data South
Africa’s head of the Converged Infrastructure business.
Soon thereafter, he became the Managing Director of
Dimension Data Middle East & Africa. In 2016, Goodall
was appointed Dimension Data’s Group Chief Executive
Cover Story

Officer, tightly focused on fulfilling its
clients’ expectations around the world
and ensuring that the company delivers
the business outcomes its clients are
asking for.
Accelerating Ambitions by Being
Perceptive about Client’s
Requirements
Dimension Data puts its clients’
business ambitions at the heart of its
services-led approach and technology.
Its consulting services team takes the
time to fully understand its clients’
business, collaborating to develop a
digital strategy that will deliver the
desired outcomes. This strategic,
consulting-led approach helps
Dimension Data’s clients envisage
their digital future using technologies
that ideally suit their business
requirements.
Dimension Data’s services
organization also provides advisory
services, specialist transformation
services and a wide range of
architecture consulting that covers
next-generation data center services,
hybrid cloud, networking,
cybersecurity, collaboration, business
resilience, IoT, and business analytics.
In addition, it offers all the necessary
project and program management
services to keep delivery on track.
Revolutionizing the Viewing
Experience of the Tour de France
Amaury Sport Organisation (A.S.O.),
organizers of the Tour de France, and
Dimension Data, the Official
Technology Partner of the Tour de
France, are working together to
transform the viewing experience of
cycling fans around the world.
Hosted in their cloud, Dimension
Data’s data analytics platform —
developed in partnership with A.S.O.
— combines historical data with live-
tracking to give an unprecedented level
of insight to fans as the race unfolded
across France. At the core of the live
tracking and data analytics solution are
GPS transponders installed under the
“saddles,” or seats, of each bicycle.
The data collected from these
transponders is combined with external
data about the course gradient along
with prevailing weather conditions to
generate insights such as live speed
and the location of individual riders,
distance between riders, and
composition of groups within the race.
This year the solution created and
analyzed more than three billion data
points during the 21 stages of the Tour,
a significant increase from last year’s
128 million data points. Fans also
benefitted from deeper insights into
rider profiles, gaining a better
understanding about environments and
circumstances in which they performed
best. 198 riders in 22 teams generated
over 150 million geospatial and
environmental data readings along the
3,540km route.
Connected Inventory for Excellent
Patient Care
Dimension Data is at the forefront of
assisting clients to utilize IoT-as-a-
platform. An example of the company
assisting a client is a public health
organization in Belgium, where
Dimension Data integrated IT, unified
the hospital’s communications and
operational technologies to create a
higher-performing hospital
environment.
Intercommunale de Santé Publique du
Pays de Charleroi (ISPPC) is adding
intelligence to the systems that control
nurses’ calls, building operations and
safety, as well as refrigeration units
that store organs and blood. The
hospital’s first big win has come from
monitoring temperatures of
refrigeration units: over 700 fixed
refrigerators and freezers that store
critical supplies such as grafting
organs, medicines, blood products and
laboratory reagents. If a temperature
threshold is exceeded, an alarm is
triggered with a notification sent via
buzzer, email or voice message – or all
three depending on the equipment. In
the three years the application has been
in use, none of these supplies have
been lost.
In the future, ISPPC will add more
direct customer engagement elements
to its IoT program, such as using
digital signage to direct patients to the
right department inside the hospital
based on location data from their
mobile device or hospital bracelet.
Creating greater efficiency and
effectiveness today is the foundation
layer to creating an improved patient
experience overall.
A Hyper-connected Safe Haven for
Rhinos
Rhino poaching statistics in South
Africa are staggering: 1,215 rhinos
were killed in 2014. To help address
the poaching problem, Dimension
Data, in collaboration with Cisco, has
created a Connected Conservation
program that’s been implemented at a
private game reserve in South Africa.
The solution uses digital technologies
to provide real-time intelligence to

enable preventative action against rhino poachers. CCTV, biometric scans, seismic sensors and thermal imaging on the main
perimeter help track people entering the reserve and alert rangers via multiscreen communications.
Using the power of IoT combined with real-time data and analytics, Dimension Data aims for zero rhino kills. According to
Anton Jooste, Dimension Data’s Senior Vice President who leads the company’s IoT practice, they’ve made great strides, as
evidenced in the 96% reduction in the number of rhinos poached in the reserve since the Connected Conservation program
was implemented in November 2015.
Optimizing the Digital Journey Through a Secure and Interactive Infrastructure
The Internet of Things helps blend the digital and physical worlds. While there’s much to be gained from using IoT to deliver
operational efficiencies, perhaps the greater value is using it to provide key insights to decision makers and create exceptional
experiences for end customers. Dimension Data provides the platforms, networks and infrastructure to enable this new way of
operating, while testing and learning from proof-of-concept projects with clients.
Organizations must also focus more on cybersecurity and networking as part of their overall IoT play. Dimension Data’s “The
Executive’s Guide to the 2017 Global Threat Intelligence Report” stated that 77% of all ransomware are detected in four
industries: business and professional services, government, health care and retail. Subsequently, businesses need to heighten
their focus more on cybersecurity. Dimension Data meets this need through its enterprise-grade security expertise.
On the networking front, the proliferation of IoT is helping to drive innovation across enterprise networks. Dimension Data
reported that, in 2016, the percentage of ageing and obsolete devices in networks fell from 53% last year to 42%. Since 2010,
networks had been ageing, but the company’s “2016 Network Barometer Report” revealed that this trend reversed. This can
be attributed to companies replacing ageing and obsolete equipment with the new generation of programmable infrastructure,
particularly in data centre networks.
Technology used to be
about improving efficiency.
Now it’s become the
main driver of strategic
competitive advantage.
Technology used to be
about improving efficiency.
Now it’s become the
main driver of strategic
competitive advantage.

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CORPORATE OFFICE

Management BriefCompany Name
Michael Valdes
Founder & CEO
Dimension Data
dimensiondata.com
Rajiv Gupta
CEO
Dr. Phil Shelly
President
Lunarline Inc.
lunarline.com
Reltio
reltio.com
TechnoBuddy
technobuddy.in
Brian Barker
CEO
Manish Sood
CEO & Founder
TelExcell Information
Systems
telexcell.com
Mahendra Lalwani
MD
Waylon Krush
Co-founder & CEO
Adaptive
adaptive.com
Datametica Solutions
Private Limited
datametica.com
NorthBay Solutions LLC
northbaysolutions.com
Axis Technical Group
axistechnical.com
WonderBi
wonderbi.com
Gaurav Kumar
Director
Jason Goodall
Group Chief
Executive Officer
Adaptive provides clients with software solutions and value-
adding partnerships that deliver a business discipline of data
governance, control and innovation to the enterprise.
Axis Technical Group is a premier technology services firm,
Microsoft Gold Partner and trusted business technology advisor
to leading companies in the Mortgage, Title, Healthcare, Oil &
Gas, Entertainment and Financial Services industries.
DataMetica is a leader in Big Data & Analytics space providing
end-to-end service delivery in Big Data across sectors like
Retail, Insurance, Healthcare, Financial Services,
Manufacturing etc.
Dimension Data, a globally-recognized brand helping
organizations deliver better business outcomes and accelerate
their ambitions by providing technical expertise in all relevant
technologies including data centers, networking, cloud and
cybersecurity.
Lunarline provides customers with strategic solutions to ensure
the data they store, transmit, or process is secure right from the
beginning.
NorthBay is a cloud big data and corporate mobile
development firm focused on helping companies extend their
brands and achieve brand engagement and loyalty from
customers, partners, and vendors.
Reltio Cloud delivers enterprise data-driven applications
together with a modern data management Platform as a Service
(PaaS), guiding customers to take the right actions, based on
the right insights, to achieve the right results.
Nikhil Gundale
Founder
WonderBi is a Mobile First interactive data analytics solution
provider that delivers business insights which enable business
users to take smart ‘in the moment’ decisions.
TechnoBuddy is one of the best and trusted Engineering based
Pre-Recruitment Company in India for Job-seekers, Students,
and Professionals.
TelExcell is pioneer in the Wireless & Telecom market
involved in Value Added Distribution and System Integration
business and Public Wi-Fi with track record of launching most
innovative Wireless, Access Control, Security, Surveillance,
Networking and Storage products.
Jeff Goins
Chief Executive Officer

Transforming Businesses
Altogether
Transforming Businesses
Altogether
BIG
DATA:
Data are currently woven into each sector and
function in the worldwide economy, and, like other
fundamental elements of production such as hard
assets and human capital, a lot of today’s economic action
couldn’t take place without them. The use of Big Data —
vast pools of data that can be united and investigated to
perceive examples and settle on better choices — will turn
into the premise of competition and development for
individual firms, enhancing efficiency and creating
significant value for the world economy by diminishing
waste and expanding the quality of products and services.
As of recently, the deluge of data flooding our reality has
been a marvel that presumably just energized a couple of
data geeks. Be that as it may, we are currently at an
inflection point.
The history of past trends in IT investment and innovation
and its effect on competitiveness and profitability highly
recommend that Big Data can have a comparable power,
and to be specific, the ability to change our lives for the
better. Similar preconditions that permitted past waves of
IT-enabled innovation to control efficiency, i.e., innovation
advancements followed by the adoption of complementary
management services, are set up for Big Data. And we
expect providers of Big Data technology and advanced
analytic capabilities to have at least as much continuous
effect on profitability as providers of different sorts of
technology. All organizations need to take Big Data and its
ability to make value seriously if they want to contend. For
instance, a few retailers embracing Big Data see the
possibility to increase their operating margins by 60
percent.
Big Data: Another Upper Hand
The use of Big Data is turning into an important route for
driving organizations to beat their companions. In many
businesses, built up contenders, as well as new contestants,
will use data-driven systems to enhance, compete, and
capture value.
Big Data will make new growth opportunities and entirely
new categories of organizations, for example, those that
aggregate and examine industry data. A significant portion
of these will be organizations that sit amidst massive data
streams where data about items and services, purchasers
and providers, shopper preferences and intent, can be
caught and analyzed. Forward-thinking pioneers across
sectors should start aggressively to construct their
associations’ Big Data’s abilities.
Moreover, the sheer size of Big Data, the continuous and
high-frequency nature of the data are likewise vital. For
instance, ‘nowcasting,’ the capacity to evaluate
measurements is winding up more utilized, adding vital
energy to forecast. Correspondingly, the high frequency of
data enables clients to test theories in close constant and to
a level that was never possible before.
Data Talk
16 | July2017 |

The Value that Big Data Creates
If the U.S. healthcare framework were to utilize Big Data
innovatively and viably to drive proficiency and quality, the
sector could make more than $300bn each year. Almost
66% of that would be an 8 percent decrease in U.S.
healthcare expenditure. In the developed economies of
Europe, government administrators could make more than
€100bn ($123bn) in operational productivity improvements
alone by using Big Data – and that is excluding using
advanced analytic devices to diminish fraud and mistakes,
and lift the collection of tax revenues.
However, it’s not simply organizations and companies that
remain to pick up from the value that Big Data can make.
Shoppers can likewise receive very noteworthy benefits.
For example, clients of services empowered by personal-
location data can catch $600bn in customer overflow.
Taking smart routing using constant traffic information is a
standout amongst the most heavily used applications of
individual-location data. As the penetration of smartphones
increases and free route applications are incorporated into
these gadgets, the use of smart routing is probably going to
develop.
By 2020, more than 70 percent of cell phones are required
to have a GPS ability, up from 20 percent in 2010. By and
large, the potential worldwide estimation of smart routing
through time and fuel savings will be about $500bn by
2020. This is quite equivalent to saving drivers 20bn hours
on the road, or about $150bn on fuel consumption, and 10
to 15 hours each year for every traveler.
Understandings around data security and
privacy are only one obstacle that
governments and organizations need to
overcome, if the economic benefits of Big
Data are to be figured out. One of the most
squeezing challenges is a critical lack of
individuals with the abilities to analyze Big
Data. By 2018, the United States alone could
confront a deficiency of 140,000 to 190,000
people with deep analytical training (in statistics
or machine learning) and other 1.5m individuals
with the managerial and quantitative skills to have
the capacity to outline and decipher investigations
adequately enough to base decisions in light of them.
There are additionally numerous technical issues that
should be resolved to benefit as much as possible from Big
Data. Legacy systems and incompatible standards
frequently prevent the incorporation of data and the use of
the more advanced analytics that make value. At last,
making use of the foremost digital datasets will demand the
get together of a technology stack from computing and
storage through visualizations and analytical programming
applications.
Most importantly, access to data needs to widen.
Progressively, organizations should get data from outsiders,
e.g., business partners or clients, and coordinate them with
their own. An essential competency for data-driven
organizations, later on, will be the ability to make
compelling value propositions for others, including buyers,
providers and conceivably even contenders, to share data.
In the event that looks far-fetched that data sharing will
happen regardless of the potential for societal advantages (a
market failure), lawmakers may then have to step in.
As long as organizations and governments comprehend the
potential of Big Data to deliver higher efficiency, better
value for purchasers, and the next wave of development in
the worldwide economy, there ought to be a sufficiently
reliable motivator for them to act robustly and beat the
hindrances to its use.
By doing as such, they will unleash avenues to new
competitiveness among organizations, with higher
proficiency in the public sector that will empower better
services, even in obliged fiscal times, and subsequently
empower firms, and even entire economies to be more
productive.
Data Talk
| July 2017 | 17

Many organizations are in a
mad rush to leverage
exciting, new technology to
capture and run analytics on data for a
variety of reasons. The issue they are
facing is that there is limited
governance to these processes and
organizations are running into concerns
on the accuracy of the data and
implementation of processes that scale
with proper stewardship. Organizations
are at risk as they are not protecting or
auditing the data due to this rush and
constant analytics. A strategic plan for
big data adoption within the business
intelligence environment will balance
the need for agility in adopting
innovative big data analytics methods
and data management architectures in
ways that are aligned with corporate
vision and governance.
Adaptive, Inc. is a global company,
headquartered in Aliso Viejo,
California, providing the most
comprehensive data governance and
metadata management platform
available today. The firm is a market
leader with a long history of helping
organizations to adapt and support the
rapidly changing business and IT
environments, which are driven by the
ever-increasing demands of
compliance, regulatory pressures and
governance requirements. Adaptive
provides innovative solutions that
enable governance and enhanced
analytics on managing data on a
holistic scale. Their clients span across
various sectors including
banking/finance, insurance, healthcare,
technology throughout the enterprise.
The Adaptive EAM product line
provided the pathway to their
Metadata Manager Product line. The
ability to semantically capture
information sources and automatically
associate the relationships with other
concepts enabled enhanced analytics
and governance for their valued clients.
A Self-taught Leader of Adaptive
Jeff Goins has been the Chief
Executive Officer of Adaptive since
April 2017, and he has also held
various leadership roles in the
company before that. His career spans
over fifteen years in the technology
industry, specializing in methods and
technologies utilized to capture an
organizations most important asset ─
knowledge. Jeff has also formed many
global alliances throughout his career.
Equipped with experience and
expertise to understand the business
and the technical issues, Jeff creates a
vision for developing products and
service offerings that address
organizational issues in a repeatable
manner. He has been actively involved
in developing and implementing
strategic planning and business process
improvement initiatives, including
large transactional and decision
support systems. He works with both
commercial corporations and
government organizations in
developing architectural frameworks to
assist with key strategy implementation
initiatives. Academically speaking, Jeff
holds a Bachelor’s degree in Finance
retail, transportation and government
entities.
The Adaptive Framework
As the name indicates, Adaptive
readily adapts to an enterprise’s
technical landscape or ecosystem, as
the firm works with many different
technologies to complement the
existing processes, without replacing
anything.
The Adaptive Business Glossary
Manager (BGM) is one such solution
that offers a framework to assist
enterprises with defining and
communicating consistent business
vocabulary and aligning glossary terms
to standard language definitions. By
directly referencing entities that
represent the corporate hierarchy,
processes, and data, BGM provides
traceability and a “semantic
perspective” of organizational
execution and contributes to improved
data governance while substantially
reducing the compliance risk.
The company’s first product was their
Adaptive Enterprise Architecture
Manager (EAM) platform that enables
organizations to model and manage
strategy, process and information
Adaptive:
Turning Your Instincts into Real-time,
Fact-based, Actionable Intelligent Data
18 | July2017 |

““
and Business Administration from Virginia Commonwealth
University.
Providing Peerless Platform for Organizations
Many Big Data centric programs are dumping data
into Hadoop or graph centric databases without
understanding the source of the data and/or if the
quality of the data is accurate and governed
properly. Adaptive provides a unique solution
to this problem with the ability to integrate
business, technical and operational metadata.
Adaptive provides a platform that harvests and
parses metadata from many different sources
which includes data modeling, ETL, Legacy,
Business Intelligence and Big Data platforms.
They stitch the relationships between these
sources providing end-to-end data lineage
analytics and governance.
Adaptive’s platform also enables organizations to
capture and maintain its business glossary and
ontologies that can be leveraged as a “single point of
truth” for managing definitions, rules and proper
stewardship on the data. Analysts and stewards, for
example, can determine if any field in a report or contract
term is among a term governed in the glossary or ontology.
Adaptive also captures the technical metadata automatically
to ensure accuracy. This enables understanding of where
there are inconsistencies, redundancies and risks with
managing data assets on a holistic scale.
Providing Transparency for the Clients’ Data
Adaptive provides a robust platform that fits within the
existing technology ecosystems that enables organizations
to understand how data is governed and analyzed on a
universal scale. It is critical to understand risk, security,
data retention and privacy controls. The company ensures
organizations are meeting regulatory mandates properly.
Furthermore, the company is in a unique position wherein
they’re the only providers of technological platform that
strictly adheres to the many standards set in the marketplace
today. Moreover, Adaptive’s CTO sits on a number of these
boards ensuring that these strict standards are implemented
into the Adaptive offerings.
In addition to their hosted web-based, highly-flexible
solution platform, Adaptive offers access to a world-class
professional services team that provides training, consulting
and mentoring around metadata management, data
governance, data quality and enterprise architecture.
Jeff Goins
Chief Executive Ofcer
Management of corporate data
comes with odds and ends;
we eliminate the risky,
time-consuming and expensive
side of Data Management
Adaptive also works with many consulting groups
supporting their practices as well.
Envisioning Constant Growth
Adaptive will continue to scale and grow in terms of both
revenue and staff through their market leading product
offerings and also will be announcing acquisitions that
augment its product strategy. They will continue to
leverage leading underlying technologies such as graph
and triple store technologies in their offerings to link the
metadata and instance data layers providing real time
analytics. Adaptive looks forward to bringing in content
specific to certain vertical markets such as Finance and
others.
| July 2017 | 19

Computers are the need of the
hour, and with the digitalized
world expanding, every
company needs a software solution that
is completely custom built and able to
increase productivity. However,
building a custom solution is not
everything. One needs to integrate the
software seamlessly in order for it to
work better. Here enters the Microsoft
Gold Partner and premiere technology
services firm named Axis Technical
Group. It is a trusted business
technology advisor since 2007 to
leading companies in Mortgage,
Healthcare, Oil & Gas, Entertainment,
Financial Services and Title industries.
Headquartered in Anaheim, California
– with offices in Denver, Colorado and
Pune, India – their international team
provides the sophisticated skill sets and
resources of a global consulting firm
paired with personal and solution
oriented approach. Axis Technical
Group offers many professional
services to their clients including
Custom Application Development,
Legacy System Integration and
Migration, Enterprise Modernizations,
Quality Assurance, Software
Maintenance, Project Outsourcing and
Staff Augmentation.
The Unsung Hero
Michael Valdes, Founder and CEO
of Axis Technical Group, has over 25
years of sales and leadership
experience in the field of technology,
finance, healthcare and retail
industries. He is an immensely
evaluating key metrics, including
student performance and test
efficiency.
Then by leveraging their Hybrid
Onshore/Offshore Business Model,
Axis could develop and test various
improved grading options at a lower
cost than if it were done exclusively
within the U.S. This custom solution
helped Scantron and their client with
better diagnostics and improved
workflow to create and deploy
benchmark assessments.
Alcoa, one of their top clients and the
world’s fifth largest producer of
aluminum, had this to say about their
ongoing relationship: “Axis rolls with
the punches, listens to our needs and
always accommodates us. They are
flexible, capable and committed to our
success. Other firms make promises;
Axis gets the job done.”
Axis has also worked with several
leading Healthcare and Dental Services
Providers on various challenging
products and initiatives, ranging from
physician credentialing, medical
implant tracking and BI reporting to
patient access portals, eligibility
systems and claims settlement tracking.
Their clients find a great deal of value
in the long-term business relationship
they have built, which serves as the
foundation for their success and future
growth of each company.
Axis prides itself on “Win-Win”
situations with its clients. In fact,
experienced executive with an
extremely successful career of building
teams and directing several
organizations, ranging from small start-
ups to large corporations.
He founded Axis back in 2002. Since
then it has been listed as one of the
fastest growing companies – in 2007
and 2008 – and was also ranked 77th in
the IT industry on the first ever Inc.
5,000 list of the fastest growing private
companies in U.S.
When Customer Satisfaction is the
Motto
Axis ensures that its customers always
get the peace of mind that comes with
excellent work quality and genuinely
dedicated professionals. When their
Hybrid Onshore/Offshore Model is
utilized, they provide a highly trained,
bi-lingual Engagement Manager who
serves as the on-site liaison for all
client affairs, offshore communication
and strategy sessions.
When Axis was hired by Scantron
Corporation to lead their Achievement
Series Initiative, they were very
excited for the opportunity. The
solution was to be a data-driven
decision-making and reporting tool so
their administrator could track and
meet federal mandates with ease. The
captured data helps teachers while
Axis Technical Group
Helping Businesses Achieve Their Goals
20 | July2017 |

““
another client of theirs, a leading financial services
institution, was so happy with the integration and
solutions provided by Axis, they provided this
testimonial: “We can now offer an innovative and
high-tech solution to our clients. The system is
faster and more efficient than ever before. It
results in more rapid responses from the
customers and quicker responses to their
inquiries. The result: our portal moves the
process along, and everyone wins. We are
delighted with the quality of the work Axis had
delivered; their implementation has indeed
performed on the vision we had for our
solution.”
Other satisfied clients and industry giants
include First American Corporation, World
Vision International, Qualcomm, Yamaha,
Monarch Healthcare, Lending Tree, loanDepot,
Boston Scientific, Cannon, and Nationstar.
Picture of Future
According to Axis, they are coming off their best year
ever (2016) in terms of revenue, while 2017 looks to easily
continue that trend. With a solid reputation and quality
referrals from existing clients, the company continues to
venture into other industries and is positioned to make an
even bigger splash in 2018. “It’s always exciting when our
values and quality of work are communicated across the
verticals, transcends the norms of a business technology
firm, and allows us to provide the same quality service to
new clientele.”
To help companies stay competitive in the ever-changing
business technology field, Axis wants to utilize their 15
years of experience and knowledge to establish a tight
partnership in your vision for the future.
Handling Critical User Data
Microsoft Azure is very critical to many of Axis’s internal
and external business process. The company leverages it on
a broad range of solutions, products and business usage that
provide scalability of client demands and also solves all the
needed security purposes. Axis always takes advantage of
the prominent, widespread offerings of Azure Batch,
Snapshots and Web Jobs to their offerings on Azure SQL,
Storage and Active Directory to run an enterprise
successfully.
Additionally, Azure has allowed the organization to be
nimble and cost-effective by offloading IT requirements,
which include management, infrastructure and hosting, to
the Microsoft Cloud. This has helped Axis maintain control
Michael Valdes
Founder & CEO
We combine the comprehensive
skills and resources of a
global consulting firm
with a personal,
solution-oriented approach
of its operational output while also leveraging it to benefit
their clients.
Making the Industry Better
Axis’s Hybrid Onshore/Offshore Model has allowed the
company to scale its operations based on the needs of the
clients and contribute to incredible growth for all
stakeholders involved. Implementing a blended team
approach has allowed Axis to leverage the strengths and
skill sets of its global consultants which have resulted in
delivering smart solutions faster and within the budget of
the client.
URL: www.axistechnical.com
(714) 491-2636 | info@axistechnical.com
| July 2017 | 21

As businesses are leaning towards a more
technological dependency, the big data race is
fiercely contested. Not just huge multinational
companies, but small businesses are also churning out data
and consuming at an alarming rate. The trend is related to
knowledge is power. The simple goal here is: collect lots of
data, analyze and process it to generate insights that will
give a competitive advantage to the wielder. If the future is
truly of Big Data and from this moment it seems like it is,
then no organization can afford to be left out while other
rivals will have an advantage over them. This is a classic
scenario for organizations, where they are scared and
excited at the same time.
Companies nowadays are in investment frenzy over data
scientists, data warehouses, and data analytics software,
though most of them don’t have much to show for. Data as
a service model is emerging and organizations are
appointing Chief Data Officers to oversee data
management.
Large and, publicly available data sets, easier tools, wider
distribution of analytical skills, and early stage artificial
intelligence software is leading to a burst of economic
activity and increased productivity comparable to that of the
Internet and PC revolutions. With speed, agility, and
innovation determining the winners and losers, Big Data
allows us to measure everything quantitatively. Real-time
data analysis and pattern recognition are exposing
interdependencies and connections that will lead us to see
everything differently.
Smarter Analytics, Not Bigger Data
It is no longer enough to get only bigger, but getting
smarter is the key to go ahead in the race of Big Data
analytics. Yes, the growing choice of off-the-peg integration
products has made data collection more accessible, but it is
of no use when large data get unused. Oracle, Microsoft,
SAP, and IBM have spent more than USD 15 billion
combined on buying software firms specializing in data
management. Big data is seen by many to be the key that
unlocks the door to growth and success.
Although Big Data analysis is an incredible tool to optimize
businesses, it has it’s limitations. Data Analysts tease out
correlations to find links between variables. But just
because two variables are correlated, it does not mean there
exists a causative relationship between them. A good
consultancy will help you to figure out which correlation
will mean something to the business.
Big Data is used to find correlations and insights using an
endless array of questions. However, it’s up to the user to
figure out which questions are meaningful and need to be
answered correctly. Because much of the data that you need
lies behind a firewall or on a private cloud, it takes technical
expertise to efficiently get this data to an analytics team.
Sometimes the tools we use to gather data sets are
imprecise. For example, Google tweaks its algorithm of
searching ways frequently, which will give results likely to
be different than other days. Hence, if Google search is
used to generate data sets, then the correlations that are
derived will change too. Another very important limitation
associated with Big Data analytics is the importance of
security. The information that is provided to a third party
could get leaked to customers or competitors. Eventually,
you need to know how to use big data to your advantage in
order for it to be useful.
A Future after Big Data
Believe it or not, the era of Big Data is coming to a close.
The lingering death of one of the most overhyped and
Winning the
BIG DATA
Is It Important to Succeed in Future?
Race:
Chalk Talk
22 | July2017 |

poorly understood terms,
since the phrase “cloud
computing,” is evident
from the fact that many
companies have not been
able to outdo their
expectations, which were
hugely based on analytics
of Big Data. The reason
behind this could be
associated with vendors,
providing analytics
software and services,
industry leaders or more
importantly the media who
got the ball rolling in the
first place.
Any established firm
offering a storage or
analytics product for a tiny
or a large amount of data is now branded as big data, even
though their technology is as it was 5 years ago. Big data as
a technological category is becoming increasingly
meaningless, as every industry leader includes the phrase in
their talks and repeat it as many times in their pitches.
As the industry develops, there won’t be any single term
replacing the Big Data moniker, though there will be
different tools and technologies, narrowly focused and
highly specialized than Big Data. Some of these buzzwords
that might catch attention in the near future are:
Smart Data- It’s an emerging pattern in Big Data scene
involving the productization of incessant data through
predictive analysis. It relies on advanced techniques in
statistics and machine learning to recognize and exploit
patterns. In essence, companies have stopped relying on
humans to interpret data, and are looking forward to
machine-captured data through predictive analysis.
Data Science- Data science is a new field that utilizes
advanced techniques in statistics, machine learning, natural
language processing, and computer science to extract
meaning from large amounts of data.
Predictive Analytics- Lingering in relative anonymity for
many years, Predictive Analytics is coming in their own.
Core to both data science and smart data, it involves using
historical data to predict future events. So, if you can
anticipate the future, you can also change it.
There are a vast number of data analysts, working for
consulting agencies, using data mining, modeling, and
optimization to gain insights into customer preferences,
trends and more.
Companies have come to rely on these services more
acutely nowadays. Even with its limitations, Big Data has
evolved the way of doing business in every industry. With
every company vying for these services to get an edge over
their competitors, the trend of Big Data is not fading out
soon, especially while the companies are relentlessly
investing in it. While this looks all good and well for sales
pitches and publicity, in reality, it is projecting an
immensely different picture. Companies, more importantly,
small businesses, are not meeting their expected turnover
even with the help of Big Data analytics, though this may
not be true for major organizations.
Not all Eggs in the Same Basket
Understanding what Big Data can do for an organization
can be expressed in one word: Knowledge. It equips you
with the capacity to make more intelligent decisions, with
the competence to streamline and optimize your business,
and with the ability to make your employees work better
than before. By analyzing the information gathered about
your business, employees and customer, you can put
yourself ahead in the competition. But this will only work if
you know what you are looking for.
Given the success it has had over the last few years, it is no
denying that Big Data will be instrumental for any company
to succeed. But putting up a caution sign may help
companies to tread this path more carefully. Moreover,
companies have to start understanding the role of Big Data
analytics, if any, in their business strategy and accordingly
set up a plan which will lead to success. Besides, companies
don’t have to completely depend on Big Data when they
have other resources at their disposal.
Chalk Talk
| July 2017 | 23

Right from Ideation of Data
sourcing strategy to a
complete data-driven, high
end, self-service analytics scenario,
Datametica brings in proven
implementation methodologies in Big
Data space.
Datametica is a leader in Big Data &
Analytics space with an unparalleled
profound production experience. Right
from Ideation to Support, they provide
end-to-end service delivery in Big Data
across sectors like Retail, Insurance,
Healthcare, Financial Services,
Manufacturing etc.
With prodigious successful Enterprise
Data Hub Implementations and
extensive Data Science
Implementations for large enterprises
and Fortune 500 companies,
Datametica has developed time-test
approach for Accelerated Development
through Reusable Component
Repository leveraging Reference
architecture, best practices, coding
standards, technology frameworks and
tools.
Datametica provides wide range of
services spanning from Legacy/EDW
Modernization, Building Modern
Governed Big Data Platform, Data
Science & Advanced Analytics,
DevOps and Support. In Addition,
Datametica has a suite of accelerators
(30+) which improves time-to-market,
reduces risk in solution delivery and
minimizes the total amount of effort &
cost spent by an organization.
‘See the Invisible’
Datametica has extensive experience in
landscape. Some of their celebrated
products are:
Enterprise Catalog (Collaborative,
Automated, Intelligent Big Data
Navigator): A cognitive product that
enables organizations with Big Data
footprint to understand the complete
semantics of data acquired. It
optimizes the data value through
seamless data governance and
socialization across enterprise-class big
data platforms.
Features: Metadata Management, Data
Lineage, Data Quality, Data Tagging,
Data Utilization, Rules Repository,
Search, Optimizations, Inference
Repository, Analyst Workbench,
Business Rule, Navigation,
Interoperability, Alerts/Subscriptions &
Security.
Eagle (Migration Suite): Get a
complete Enterprise Data Warehouse
(EDW) offload strategy with detailed
business and technical plans by
analyzing each object in the data
warehouse one after another
considering workflow/job
flow/usage/data dependencies. Convert
EDW workloads into Big Data
compatible and perform continuous
validation check between EDW and
Big Data platform after completion of
jobs in both the system. Govern the
whole offload solution using a tracker
to get a holistic view of the migration
program.
Features: Workload classification,
migration planner, recommendation
engine, total cost of ownership,
converter, validator and tracker.
planning, architecting, designing,
implementing and supporting large and
medium enterprise solutions that
ensures customized solutions to meet
the industry needs thereby equipping
the clients with best of the breed
technology stack. Their reference
architectures and accelerators cater to
specific industry needs and foster
seamless delivery and faster time to
market.
Distinctive Products
Datametica’s products are derived from
years of successful Big Data
implementation experience to address
the client needs. The team at
Datametica continuously strives to
create and operate service products that
focus on decoupling Big Data Storage
from the Compute Platform. This has
led to deep operational knowledge,
patterns, tools and services, with many
years of hands-on large-company
knowledge, helping clients to be
informed, take real decisions through
integrated Big Data solutions into an
established data management
Datametica:Big Data, Big Experience, Big Expertise - Fast
24 | July2017 |

“
SelBI (Cloud Analytics Anew): Interactive Analytics
Platform on Cloud which enables self-service analytics,
empowering users to discover, filter and apply the data.
SelBI ensures compliance, manages the cost of running
cloud environments and administers access control.
Features: Compute Management, Compute Sharing,
Visualization (GUI), Security and Custom Script Report
The Diligent Duo of Data
Rajiv Gupta, CEO, is an enabler in driving business
results and customer engagement at Datametica. With
decades of collective experience, he is building and running
teams with deep understanding of large-scale production
Big Data environments, tools and services showing clients
how to integrate Big Data solutions into an established data
management landscape. He is an innovative and visionary
leader with a track record of fusing corporate strategy,
business requirements and technology to generate
quantifiable results.
Dr. Phil Shelly, President, brings a track record of
executive experience and innovation to Datametica. He is
recognized as an industry leader, speaker and educator in
the use of Data to drive business results in big data
technologies, techniques, advanced analytics and
modernization of legacy systems. He lends his experience
as an advisor and Director of Datametica to ensure that the
Big Data services are aligned with client needs.
Aims to Create a Responsive Innovation System
Datametica’s aim is to be the Technology Partner of Choice
for forward looking customers by collaboratively
Rajiv Gupta
CEO
Delve deeper, glean
actionable insights, and
transform big data
into tangible business
value
transforming technology into business advantage. They
are constantly reinventing their growth, differentiation
and competitive strategies to capture market share and
expand channels. Datametica also invests in several ‘first-
of-its-kind’ products to target niche markets for
distinguished produce.
“Our unique strength lies in our ability to identify the
right use cases with a long-term vision. Significant
experience in running large business transformational
programs and a rich resource pool of functional, and
technical Big Data professionals, enables us to deliver
Big Data projects with 100% success rate at a faster time
to market,” asserts Rajiv.
www.datametica.com
Locations: US, INDIA, SINGAPORE
“
Dr. Phil Shelly
President
| July 2017 | 25

he above infographic is astonishing when you
Treally delve into the numbers. The last few years
have been quite interesting when it comes to the
IoT space.
I have personally taken a back seat and watched how the
industry has sprouted, from an embryonic platform to an
early catalyst for possibly becoming the next “Skynet” (no
pun intended). For some time now pundits have been
predicting great things for the Internet of Things (IoT),
26 | July2017 |

Adrian Hinrichsen
Marketing & Business
Development Director, Datumize
from smart cities and smart homes to smart energy grids,
driverless cars and autonomous robots. What is in no doubt
are the number of “things” that now have “connected
capability”, and it is rising fast; according to one leading
analyst, 6.4billion connected things will be in use by the
end of this year, an increase of 30% from last year, meaning
5million new things are being connected up to the internet
every single day. The term internet of things (IoT) was
coined round about the turn of the millennium and is widely
held to mean the connection of “things”. There are a
number of factors driving IoT. First, consumers are
demanding greater convenience, speed of delivery
and personalisation of the goods and services
they consume. There are also other drivers
for the IoT explosion we are witnessing.
The costs of infrastructure are on a
downward trajectory. Sensors are
becoming smaller, cheaper and more
energy efﬁcient and battery life is
improving. The further innovation of
cloud computing platforms and the
emergence of specialised IoT services
on them mean that the data collection
and analysis necessary for wide scale
deployment are more accessible.
Here you can see one infographic
from Deloitte in 2014 that shows
the value they analysed for smart
homes and smart cars.
Interestingly enough these
percentages have not differed too
much till now.
Is IoT Fact or Future?
IoT is right at the top of the “hype” cycle
and ﬁrmly perched to what everyone is
talking about. Mckinsey & Co predict that the
economic impact of the IoT could be between
$3.9tn and $11.1tn per year by 2025. That is a
huge industry considering it was only born 16 years
ago.
One of the main question I get asked a lot is
“where do you see IoT making the most
advantage”? Currently the top industries are
CXO Standpoint
| July 2017 | 27

domestic/leisure, utilities/energy and transport/automotive.
At Datumize we are seeing traction in all these sectors with
each project very much different to the next. Our everyday
environment is changing, sometimes without us even
noticing, however our lives are being made easier for it.
Although we are moving quickly to an IoT environment, we
are also facing “Barriers to connection”, where businesses
and consumers do not share the same vision of IoT. One
suspicion is the concern for security and how IoT
technology could be hijacked and manipulated by those for
ill intent. Other factors are more technical in nature, and
seem to be around operating systems, pricing and current
offerings. All of these factors will have to be overcome if
we are to achieve the holy grail of “smart Cities” and
connection of things.
In Conclusion
IoT is a concept which is no longer discussed only by
technical scientists, it has very much moved into the
mainstream. Certain industries have embraced IoT more
than others, for example domestic/leisure, utilities and
transport are leading the way. We are all consumers and
citizens, and a great deal of education needs to occur before
the reality of IoT is understood and accepted by us at large.
Data is the key to IoT and organisations seems to want to
get their hands on that “Dark data”, but do not know what
to do with it once they have it, or how to turn it into a value
for their business. It is here that obstacles occur in our
everyday business environment as the resources needed
have currently not been implemented into the infrastructure
and this will not happen until businesses understand the
value that is passing them by on a daily basis within their
organisation.
IoT is potentially the most exciting technical revolution to
have happened in a long time, and if we are able to help
businesses and consumers connect in a smarter way, help
build the resources and infrastructure to support this new
environment, then the way we live and work will change
forever, in a very positive way.
28 | July2017 |

You’ve probably heard it
before—companies have to
protect themselves against all
kinds of attacks. But an attacker only
needs to have one successful attempt.
With those odds, you can’t just try to
prevent attacks from happening. You
also need to be able to detect them, and
respond—fast. Lately, the most
effective defenses against cyber
intrusions are Big Data and Analytics.
Better, faster, actionable security
information reduces the critical time
from detection to remediation,
enabling cyber warfare specialists to
proactively defend and protect your
network. In early 2004, Lunarline,
Inc., was developed to help solve a
colossal security problem prevalent in
both the government and private
sectors: systems and software were
being designed, developed, and
deployed into sensitive environments,
and then security was added as an
afterthought, if at all.
It’s data that’s getting stolen, but it’s
also data that can come to the rescue.
You just have to know how to use it in
the right way. Lunarline was created to
provide solutions and securities to the
people for all the data they store,
transmit, or process.
Promising ’Solutions Built on
Security’
Most of Lunarline’s clients are flooded
with cyber security information.
Hidden in all that data are tiny
indicators of compromises, little traces
One of Lunarline’s specialties is the
delivery of managed security services.
If their customers do not have the staff
or specific talent they need in cyber or
privacy then Lunarline can augment or
even help them train and build their
teams. As an example from their
Healthcare security practice, Health-IT
clients have very limited staff that is
focused on ensuring quality patient
care. So they count on Lunarline to
augment their security staff or even
take over the security and compliance
operations.
A Resolute Innovator
Lunarline’s Hacker-in-Chief, Waylon
Krush, Co-founder and CEO, is not
the sit-at-his-desk type. He’s happier
out in the field, helping clients fight
back against an ever more threatening
cyber world.
Prior to becoming Lunarline’s fearless
leader, Waylon was a senior
information security engineer in
AT&T’s Advanced Systems Division
and chief of the information assurance
group for GRC-TSC. A veteran of the
US Army, Waylon held various Intel-
and security-related technical and
leadership roles, including service as
the lead technical member of the Land
and Information Warfare Activity
Information Systems Security
Monitoring, Vulnerability Assessment
Blue Team, and Red Team.
For his contributions to National
Security, he was named a Knowlton
of evidence that something may be
amiss. They help their clients work
with massive security data sets by
using their proprietary capabilities to
process “Big Data” and turn it into
“Small Data” with a high degree of
operational security relevance. This is
the data that uncovers security and
privacy issues within and outside the
customers’ enterprises.
As an official Third Party Assessment
Organization (3PAO), Lunarline is
uniquely qualified to independently
validate and verify that all FedRAMP
requirements have been met.
Lunarline’s Cloud Security Consultants
develop a cloud security strategy
roadmap designed to guide customers
through the security and privacy
concerns of cloud computing and help
them to implement a secure cloud
strategy.
Assisting Clients throughout the
Mission
In the world of cybersecurity all the
tools work – the problem is that they
don’t always work together. Over ten
years of perseverance has resulted in
refining the process and tools to lessen
the gaps with a suite of automation
tools that helps currently deployed
security and privacy tool investments
work together more effectively. This is
a force multiplier for the client’s staff,
freeing them to focus on driving
continuous improvement in their
security posture.
LUNARLINE:Light and Direction to Solve Cyber
Issues with Big Data Analytics
30 | July2017 |

““
Award Winner, one of the Intelligence Community’s
highest honors. He was also recognized as the 718th
Military Intelligence Soldier of the Year, the NSA
Professional of the Quarter, received the Voice of
America Award, and is a two time winner of the
American Legion Award. Waylon’s service to the
country inspired him to create Lunarline’s
Warrior to Cyber Warrior (W2CW) Foundation.
The program helps nation’s returning
servicemen and wounded warriors bridge the
gap between military service and a career in
cyber security.
Managing Data Professionally
Lunarline has developed a suite of automation
tools that quickly sift through large disparate
data sets to isolate indicators of compromise and
even insider threat issues the customers, their
VIPs, their brands and/or their enterprises face.
They have made significant investments in security
and privacy automation platforms that have really
become a force multiplier for their security and privacy
tech-enabled and managed services. As an example, they
have created a world-class cyber security and privacy
training capability within the Lunarline School of
Cybersecurity (SCS). This allows them to keep their
customers on top of the latest security policy and technical
issues that challenge them and their staff daily.
Lunarline’s Team and Techniques
The Managed Active Response (MARS) Team operates
24x7x365 to protect both their networks as well as their
managed security customers. This elite team of cyber
professionals has experience in operating the nation’s most
challenging cyber environments. They’ve quarterbacked
DoD cyber operations in theater and behalf of nearly every
Combatant Command.
Their team supervises regular software assurance testing,
vulnerability assessments and penetration tests against the
platforms and tools that process, store, manage or transmit
their customers’ data. They also often write custom blocks,
configurations and patches if a vendor or 3rd party fix fails
to meet their standards, and provide this as a service to their
clients.
As a security company they also maintain a very rigorous
process for encrypting sensitive data in-transit and at-rest
within and outside of their organization which helps ensure
not just confidentiality but also integrity of their data.
Waylon Krush
Co-founder & CEO
We deliver consistent
value to attain total
customer satisfaction
through superior
products and services
Future Aspects
Lunarline plans to integrate their suite of tools across the
company, including their cyber hunt, threat, malware,
vulnerability configuration, and pen testing suite, so that
they can become force multipliers for their customers’
security operations. Lunarline will continue to push their
security and privacy automation, training, testing, and
proactive monitoring/response services to support
customers as they evolve increasingly through their
sensitive operations over the cloud.
| July 2017 | 31

The concept of big data has
been around for years; most
organizations now understand
that if they capture all the data that
streams into their businesses, they can
apply analytics and get significant
value from it. The Big Data and
Analytics market is in a state of
massive transformation from on-
premises to cloud-centric enablement.
Companies today are seeking to
implement self-service business
intelligence solutions that dramatically
reduce the burden on IT, eliminate
shadow IT groups while putting the
power of analytics in the hands of the
end-users, and enables both business
scale and agility.
The adaptive data methodology will
drive business operations, rather than
simply reflecting performance. The
new benefits that big data analytics
brings to the table, however, are speed
and efficiency. Whereas a few years
ago a business would have gathered
information, run analytics and
unearthed information that could be
used for future decisions, today that
business can identify insights for
immediate decisions. The ability to
work faster – and stay agile – gives
organizations a competitive edge they
didn't have before. Delivering rapid
time-to-value for the clients with a
combination of Agile Big Data
methodology and a highly effective
teaming model, NorthBay Solutions is
a global provider of mobile, big data,
the team and the organization help
their clients to achieve time-to-market
advantage, drive technology
innovation, and gain economical
access to world-class software
engineering resources globally.
Proven Expertise - customer success
NorthBay has earned the highest level
of certification from Amazon Web
Services that includes its Big Data
Competency, Education Competency
and Mobile Competency. In addition to
these broad and challenging
accreditations NorthBay has also
achieved highly sought after-key
certifications in Amazon Redshift,
Kinesis, Lambda, DynamoDB and
Machine Learning. They leverage these
unique skills by partnering with their
client organizations via their OneTeam
Model. To further support the rapid
time-to-value paradigm NorthBay has
a series of packaged service offerings
that afford customers with the
opportunity to take advantage of a
fixed time and fixed budget
engagement. Their customized
solutions for clients have span
numerous industries including
healthcare, media, mobile & social
gaming, financial services, retail,
technology, education, and publishing.
Strategist and Technologist
A brilliant strategy, a blockbuster
product, or breakthrough technology
can put you on the competitive map,
but only solid execution can keep you
and enterprise web architecture, user
experience design and application
development services and solutions.
Improving Strategic Planning and
Analysis
Established in 2010 and based in
Boston, NorthBay is the pre-eminent
full-service big data, analytics and
business intelligence professional
services firm helping Fortune 1000
companies retool or (re)create their
business to exploit the new capabilities
offered by the AWS Cloud. The
company architects, designs and
develops enterprise-class Mobile, Web,
Social and Big Data solutions for some
of the world’s most innovative start-up
companies. They also cater their
services to some of the world’s largest
companies including EMC, Cisco,
Ariba, Interwoven, PTC, PWC,
TVGuide, St Paul Travelers, Johns
Hopkins, Duke University Law,
Random House, Los Alamos National
Laboratories, JP Morgan, Deloitte &
Reuters.
To repeatedly deliver excellence the
company launched its own NorthBay
University in early 2012 on the
NorthBay campus. Wherein each new
team member spends the first 90 days
of their career at NorthBay University
solving real world problems. Most
senior team members refresh their
skills at NBU as technology evolves
and the needs of their customers
change. These collaborative efforts by
NorthBay Solutions:
Empowering Data Driven Business
32 | July2017 |

““
there. Brian Barker, CEO at NorthBay, is a technologist
with an ability to think strategically as well as the drive
to focus and produce organizational growth on a
daily basis. He has over 25 years of experience in
the computer software business. Prior to
NorthBay, Brian was a Director at EMC Corp.
He also served stints as CEO of Cambridge
Technology Vision, an M&A SaaS vendor
acquired by Intralinks & was President of
ClearSpring Technologies, an event driven
management software vendor acquired by
Veritas.
He also has served as Vice President of Sales
and Marketing at Synthetic Networks, a
network testing vendor acquired by Agilent –
Vice President of Sales and Business
Development at the mobile software vendor Isovia,
Vice President of Sales and Marketing at
CambridgeDocs, acquired by EMC and President of
OneStone USA, which is a workﬂow vendor acquired by
Lotus Development Corporation.
Evolution of the Revolution in Big Data Market
NorthBay was early to the Big Data market and as a partner
of AWS. When they started, organizations had not yet
embraced the Cloud in a meaningful way. Consequently, the
interest in AWS big data solutions was limited to
predominantly proof of concepts.
During this time, NorthBay focused on a small yet strategic
set of Clients and serviced to build expertise and deliver
quality solutions in the Cloud Data Warehouse market.
Having been the earliest of partners to use AWS products
such as Redshift, NorthBay now has countless customers
projects and use cases that can be leveraged to assist new
clients to implement their enterprise data platform.
Today, NorthBay’s clients beneﬁt from their hard-won
experiences and best practices evolved over dozens of
successful implementations of data lakes, data warehouse
and related big data initiatives. Whether it regards retiring
on-premises data warehouse solutions, or implementing a
new Business Intelligence tool, or migrating a database or
entire warehouse, their customers realize value rapidly!
Leadership – Growth – and most importantly,
Successful Clients
NorthBay continues to rapidly evolve along with the market
as the needs of clients become more sophisticated. They are
We craft big data,
mobile & web
solutions for
premier brands
growing their Machine Learning and Predictive Analytics
practice to enable customers with the most advanced
machine-generated outcomes. In addition, they are adding
key team members Data Scientists to their team as well.
Lastly, they will continue to embrace the Amazon Web
Services ecosystem to expand their skills and expertise both
technically and from a business outcomes perspective.
Brian Barker
CEO
| July 2017 | 33

In this era of changing technologies, the Big Data
domain has evolved in a very short period of time. It
plays the most pivotal role across all industries. The
ability of Big Data to mine critical data has radically altered
the dynamics of the way businesses function, drive sales,
and attract customers. It has become an essential
component of business strategy nowadays. A business tastes
success by uncovering insights locked inside data. The
overlaying trends will examine the evolving ways
enterprises can realize better business value with Big Data
and how improving business intelligence can help
transform organizational processes and the customer
experience. There is a demand for better data management
from most of the business executives for compliance and
increased confidence to steer the business. It will help them
in more rapid adoption of Big Data and innovative and
transformative data analytic technologies.
Insight-driven Organizations
In this present year, businesses will move beyond just data
handling to leveraging the insights that Big Data uncovers.
As understanding, managing, and manipulating Big Data
has now become fairly ubiquitous, most of the companies
have the ability to deal with it. Mining data will be the
center of attraction and it will help effectively to meet
organizational requirements and for precise targeting of
products and services. An insight-driven approach will
facilitate an evolved customer experience, competitiveness,
advanced security and operational efficiency.
Cyber security Applications
Today, everyone is dependent on the digital technology and
our dependence has reached an unprecedented level. Cyber-
attacks have also become much more prevalent. An
increased occurrence of ransomware has been registered
across the globe and cyber criminals are now targeting
personal data and devices. Concerning the prime industry,
cyber security can only be possible through big data
analytics which will become a major area of investment and
will grow swiftly. It is necessary for the enterprises and the
government agencies to upgrade their security systems to
next-generation software which can address ultra-modern
security threats.
Analytics across the enterprise
It can be said that the analytics will not remain isolated to a
few departments like marketing and risk management. On
the other hand it will infuse the entire enterprise. To
understand the dynamics of business operations, data
analytics will be utilized and will also reveal ways and
means to increase efficiency. Hence to derive overall
business strategy, insights from multiple departments will
be integrated and redundant processes will be eliminated. It
will also help the departments to increase efficiency,
growth, and productivity.
Bridging the talent gap
If the demand expands further, the talent gap in data
analytics will soar. It is expected that organizations and
academic institutions will collaborate closely to generate
skills and talent to meet the demand for data engineers. The
functions of all corporate employees will be expected to
understand, appreciate and work with analytics since it
emerges as one of the key instruments in every
organization. The academic institutions are also looking
forward to put together degree programs in data science.
IoT and People
There will be a transition from Internet of Things (IoT) to
Internet of People (IoP). Interactions, predictive analytics
around human behavior, and other subjective areas will
grow and start to filter all industry verticals. For example,
hospitals will increasingly deploy machine learning
techniques to predict the likelihood of the relapse of a
disease. This will enable them to work out a patient’s
readmission precisely at the time of the initial discharge.
Industry Insight
34 | July2017 |

Business-science collaboration
Businesses will have to learn and deploy traditional, scientific techniques of pattern-matching and artificial intelligence for
analytics use cases. For example, techniques to analyze gene sequences in DNA are being used in text-matching algorithms to
process bulk emails. It is expected to see very close collaboration between data scientists and the scientific community. For
example, image processing is widely used in ‘tagging’ in social media, while voice recognition is used in apps.
Technology
There will be brisk moving in the organizations from on-premise platforms to cloud and hybrid environments. Around 44
percent of applications used by Fortune 500 organizations are already on the cloud, and more than 50 percent of IT
applications will move to the cloud by the end of the year. There will be a rise in demand for analytics tools that are simple,
flexible, and capable of handling a variety of data sources. Hadoop enables to store an extremely large volume of data at a
significantly lower price point and hence it will continue to become increasingly popular. The share of unstructured data in
the data warehouse will continue to increase, which will further cause for Hadoop. Hadoop, now, is past the business
relevance and scalability assessment phase and its adoption is expected to accelerate strongly.
We are advancing towards a completely new era in the domain of analytics. Big data is disruptive and it has paved the way
for pioneering ideas and innovative techniques across industry verticals. It is now driving the stream of disruption and
expanding the scope of opportunities for previously untouched market segments. Organizations need to leverage Big Data
analytics to its full capacity so as to thrive in this competitive world.
Industry Insight
| July 2017 | 35

It’s almost a cliché to say that we
now drown in data, but we do.
When an organization intends to
use big data to become smarter and
more competitive, the standard
approach is to modernize its analytical
capabilities. The current
environment—from mobile apps to
social media and other
communications channels that seem to
emerge daily—now regularly generates
data volumes that far exceed all
content officially recorded throughout
human history. A modern analytical
application promises to generate more
insight and help you spot new market
trends faster than before. But finding
insights faster than others in the age of
big data is not only about
implementing a new piece of
visualization software – it’s a
transformational journey for people
and for the entire analytical process. If
we think of analytics as the engine that
accelerates a smart organization, then
data is the fuel that runs the engine.
Companies have traditionally turned to
Master Data Management (MDM) to
help them blend data from multiple
sources and create consolidated master
profile views of various data entities.
But MDM solutions require complex
infrastructure and processes, and
lengthy implementations, which means
business users wait a long time to get
any value and end up using off-the-
shelf solutions or spreadsheets, digging
for insights in unreliable, stale, and
outdated information. This has led
as-a-Service, enterprises quickly gain
access to very rich and reliable data
profiles in as few as 12 weeks,
compared to legacy tools that can take
months or years to deliver results.
Today, Reltio Cloud has hundreds of
terabytes of enterprise data under
management with billions of multi-
domain entities and relationships
managed in polyglot storage across
Apache Cassandra, Apache Spark,
graph stores, Elasticsearch, and other
technologies. Tens of millions of real-
time API calls are made each day,
including support for sales and
marketing teams accessing data via
browser-based UI desktop and mobile
business users with real-time
synchronization to operational third-
party applications, and analytical
environments.
But Reltio’s innovative solution
doesn’t stop there – once a reliable data
foundation is created, Reltio Cloud
leverages predictive analytics and
machine learning to create relevant
insights and recommended actions in
context with a user’s specific role, and
business goals.
A Passionate Technology Impresario
Manish Sood, CEO and Founder of
Reltio is an entrepreneur with a
passion for innovation. He co-authored
the patent that revolutionized MDM
through a global business identifier and
served as the primary architect of some
of the most widely used data
management solutions in use by
many to view MDM as a promise
unfulfilled. Enter Reltio, a new leader
in data management with a Modern
Data Management Platform-as-a-
Service in the cloud, built on a
foundation of technologies designed
for big data scale. Reltio is a privately
held company headquartered in
Redwood Shores, California. The
company’s mission is to help enterprise
users ’Be Right Faster.’
Redefining Master Data
Management to Modern Data
Management
More data, more types of data, and the
need to leverage it all to create more
business value ─ those are some of the
drivers behind enterprise adoption of
master data management platforms.
Reltio Cloud pulls in data from all
internal, external, third-party and social
media sources, including all
transactions and omnichannel
interactions at big data scale, to
provide business users with a complete
picture of what’s important to them.
Part of its Modern Data Management
platform, Reltio Commercial Graph
enables business users to uncover
many-to-many relationships between
people, companies, and products.
Through this comprehensive Platform-
Reltio:
Providing Reliable Data, Relevant Insights
and Recommended Actions
38 | July2017 |

““
Manish Sood
CEO & Founder
Be Right Faster with
reliable data, relevant
insights, and recommended
actions
Fortune 100 companies today. He was previously part of
the team that developed Informatica MDM, and now
he’s back with the Reltio platform, aggressively taking
market share from these legacy incumbents.
Sood founded Reltio in 2011 with the mission to
enable companies to “be right faster.” Today,
organizations of all sizes, including leading
Fortune 500 companies in healthcare and life
sciences, media & entertainment, hospitality,
distribution and retail, rely on Reltio to
provide their teams with a complete view
across all information sources to help them
understand markets and drive revenue
opportunities through actionable, real-time
predictive insights.
Awards and Recognition for Reltio’s
Innovation
Reltio has been widely recognized by press, industry
analysts and insiders for its innovation in data
management. Reltio was named a leader in the Forrester
Wave™: Master Data Management Q1 2016. Other top
industry analysts have noted that Reltio’s innovations are
several steps ahead of the market. It has repeatedly been
named to the DBTA100 list, which recognizes the
companies that matter most in data. IDC also named Reltio
one of the 5 top innovators in the Platform-as-a-Service
market. Due to its work in healthcare and Life Sciences,
Reltio executives are repeatedly recognized as some of the
most influential people in those industries.
Although Reltio Cloud is a multi-tenant, Modern Data
Management Platform as a Service that’s industry agnostic,
a significant number of healthcare and life sciences
companies rely on Reltio to manage and provide business-
facing, application-level access to sensitive data. Reltio
Cloud earned HITRUST CSF Certification status for
information security by the Health Information Trust
Alliance (HITRUST), underscoring the company’s
commitment to keeping data secure for companies in the
healthcare and life sciences industries by complying with
the most stringent standards.
Envisioning a Data-driven Business Culture
Reltio continues to push the boundaries of what’s possible
with Modern Data Management. By leveraging predictive
analytics and machine learning to continuously improve
data quality and matching for MDM, Reltio truly is
simplifying data management, and significantly reducing
the arduous data stewarding tasks that are the staple of
legacy tools. Other areas where Reltio continues to innovate
include collaborative social curation and governance of
data, while Reltio’s Data as a Service (DaaS) capabilities
fuel an exciting trend coveted by Chief Data Officers to
monetize their data.
Reltio Cloud’s Modern Data Management and data-driven
applications are fast becoming the gold standard for
enterprises which need a modern platform to meet the needs
of their dynamic business environments.
| July 2017 | 39

Anything that can be measured
can be managed, and
responsible business
executives are on a constant lookout
for business insights to make smarter
decisions. But limited with only
conventional means to examine and
analyze data, the entire process gets
lagged, becomes inefficient and attracts
lots of hurdles. This is where Big Data
analytics plays its role; it helps
organizations to examine large
amounts of data to unravel hidden
opportunities and identify valuable
insights. Just as computers radically
shook the business landscape with its
emergence in the corporate
environment, Big Data also brings
itself a fundamental technological
change. One company which has
realized the potential of this sector and
is harnessing Big Data to provide
adequate solutions to companies is
WonderBi. Being a Mobile First
interactive data analytics solution
provider company, WonderBi
empowers the user by providing them
with the capability to interact with data
in the most engaging way.
WonderBi was formed with the idea of
delivering business insights that can
help business users to make smart
decisions ‘in the moment’, irrespective
of where they are. Designed in the
most humane way possible that doesn’t
require great skills for usage and
implementation, WonderBi’s solutions
can be used by businesses of all sizes.
The Leader with a Voice, Not an
Echo
Nikhil Gundale, Founder of
WonderBi, is the visionary who led
the company to what it is known as
today. An MBA by education and an
entrepreneur at heart, Nikhil has
successfully managed responsibilities
at various levels of corporate value
chain. With over 17 years of
experience within the technology
domain creating high-impact solutions
for businesses, it should come as no
surprise that he possesses a wide list of
achievements in his portfolio.
Formerly, Nikhil held the chair of Vice
Presidency twice, at Lowe Lintas, said
to be one of the largest media houses in
the world, and StarTV, which is also
one of the largest broadcasting
networks across the globe. While
working on various international
assignments related to BI
implementation, he realized that
business users are not satisfied with the
existing solutions available at the
market. This prompted Nikhil to form
WonderBi, which understood business
requirements and delivered valuable
data insights enabling them to make
smarter decisions.
Delivering the Essentials and Rising
Above the Rest
Big Data is truly the need of the hour
in the current business landscape, but
the ability to analyze using an effective
tool by the business leaders and
With the help of its solutions, business
users begin to enjoy data analytics on
mobile devices, resulting in better
decision-making, enhanced
productivity, and eventual business
growth. Typically, businesses can
leverage the power of WonderBi for
sales, production, inventory, logistics,
finance, and HR related analytical
needs.
Turning Data into Information and
Information into Insights
In today’s world of rapid technological
advancements, businesses in every
vertical are generating a huge amount
of data from their business functioning.
Whether it be sales opportunities or
supply chain and logistics or social
media inclination, the data generated is
overflowing from all spectrums. It’s a
known fact that earlier only a fraction
of the data generated was put into use
for effective decision making. But with
the ongoing sequential transformation
of the corporate sector, the needs of
businesses have changed completely
today. WonderBi is actively making
this transformation happen by enabling
data to be consumed and analyzed for
effective ‘in the moment’ decision
making, anywhere anytime. Their
mobile first solution has the distinctive
ability to take data from multiple
sources, be it ERPs/CRMs or IoT
solutions, and transform them into
consumable and analyzable
information on mobile devices in the
most engaging and intuitive manner.
WonderBi:Empowering Business Users by Delivering
Extensive Business Insights on Mobile
40 | July2017 |

““
executives is of paramount importance. WonderBi
breaks the shackles existing within the industry and
shifts its focus on the business leaders and
executives who can directly start engaging with
data, wherever and whenever they need it.
It is also worth noting that the cost of
implementing a business intelligence and
analytics system is very high and demands
huge technological expertise within the
organization. Being a SaaS platform,
WonderBi comes at a fractional cost as
compared to any other business intelligence
tools and can be implemented easily within a
short period of time. They express the data
analytics in a way that even the non-data science
business users too can understand the information
like a pro. Just like an addictive mobile game, it
hooks the business users towards the data analytics and
makes it an integral part of their daily business activities.
With such a simple, easy to implement and cost-effective
model, even the small businesses can adopt and leverage
WonderBi’s sophisticated analytics solutions to yield
tremendous opportunities in their respective businesses.
Turning Obstacles into Stepping Stones
Big Data has become a cliched term, and organizations
have become disillusioned with the solutions that they have
employed. This had an adverse impact on WonderBi’s
initial days as it was an uphill task for them to convince that
their solutions are different and can truly deliver ROI as
may have been promised. They overcame this struggle by
working as a partner to these businesses instead of just
being a vendor. They started with the end goal in a
quantifiable manner and assigned customer success
manager who worked to ensure these goals were achieved.
This gradually began to foster confidence among their
customers, which eventually helped WonderBi to move
forward towards a positive direction. It is due to their belief
of using technology in a creative manner that has propelled
them ahead of their contemporaries and has brought-
forward immeasurable success at their table.
Willing to go an Extra Mile – As it is Never Crowded!
WonderBi has a hive of highly energetic and creative
technologists and business experts, which they refer to them
as “Wonder Bees”. As a process and habit, they keep on
researching to find various ways in which data can be
We are on a mission to enable
businesses across the globe
to achieve greater heights
with engaging and affordable
business intelligence
analyzed in a much simpler and engaging way on mobile
and tablet devices.
WonderBi’s new introduction is primarily focused on
Artificial Intelligence, named EVAA. Slated to be a big
launch, it is an innovation that has never been experienced
by business users before. The company is even planning to
expand their business over to various parts of the world
which include APAC, EMEA and North American
markets.
Nikhil Gundale
Founder
| July 2017 | 41

C
an we honestly say that our professional day starts
with a morning clearly with intentions as to what
we should be doing, how we should be working,
whom we should be working with and when should we get
things done by? There is an option for all of us that is
Analytics. Now, can Analytics combined with smartly-
enabled collaboration tools make a difference in how we
choose to spend our time?
Top teams and organizations make decisions every day on
how best to achieve their goals, but do we have all of the
information required to make the right decisions at the right
moment? Will Big data, predictive modeling with
connected devices that provide real-time insight be the next
new trend to change the way we work?
But to while it comes to save time, I honestly do not think
we have mastered the art of collaboration because we still
seem to be working harder and not smarter. It seems as
though the technology we use works us, more than we work
the technology. Why is it that we still find ourselves
completing work task the same way we did back in history?
In our personal lives, we definitely have new levels of
multitasking and time runs by, but in business have we
really gained the most with our utmost precious valued
commodity called time?
We exist in a time where information is accessible at the tap
of a button. With the rise of new gadgets, apps on our
iPhone and portable devices comes the influx of new
“techies.” But, why then we are still stuck with
unproductive tasks which no more than a waste of time? In
today’s world, we have Instant Messaging at our
workstations and even video endpoints to connect us with
anyone in the world. Still, we find people spend 50% of
their time in the wasteful, ineffec-tual and uninspiring
meetings, ruining their fifteen to twenty hours a week. With
all the advancements in technology, can’t this ill-favored
corporate pastime be executed better?
Technology Collaboration and Consumption
The goal has always been to collaborate better. Access to
basic information across multiple data sources coupled just
in time could enable us to have insights on who we should
invite to the meeting, selection of collaboration tools that
yield the fastest results and meeting spaces that will
generate the best outcome and highest output of
participation from key team members during collaboration.
For this new level of collaboration to be the most effective
should the information come before you book the meeting
or afterwards. At UC Interlink, we think about everyday
how to enable IT services engine to yield recommendations
with the right outcome, when you’re ready to consume it
and way before it turns into another wasteful meeting.
With the right data sources and business intelligence, the
options are prescriptive and predictive, and limitless.
Imagine improving your time to market for a new product
launch, having absolute focus and team alignment, via
tracking behaviors of the team, while getting recommended
efficiencies to keep the team working at its best.
With this platform of intelligence, the Business Leaders can
target key performance metrics that enable them to devise
strategies, because if you are in such a place, then results
matter, gaining time matters and the behaviors of the
workforce matter. Regardless of the industry or application,
incorporating the use of data and analytics provides the
organization the ability to move from a defensive to an
Can Analytics Change the Way
Companies Collaborate
and Consume Technology?
CXO Standpoint
42 | July2017 |

Accelerating Business Ambitions Through Technology Innovation

Accelerating Business Ambitions Through Technology Innovation

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