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©	2015	by	The	Enterprise	Strategy	Group,	Inc.
Enterprise	Strategy	Group		|		Getting	to	the	bigger	truth.™
Risky	Business:	...
©	2015	by	The	Enterprise	Strategy	Group,	Inc.
Zaloni Confidential and Proprietary - Provided under NDA
• Award-winning pro...
About	ESG
• ESG	is	an	IT	analyst,	research,	and	strategy	company.
• Our	firm	was	founded	in	1999	with	headquarters	in	Milf...
©	2016	by	The	Enterprise	Strategy	Group,	Inc.
Importance	of	Big	Data	&	Analytics	Projects
48%
32%
14%
3% 2% 1%
20%
40%
21%...
©	2016	by	The	Enterprise	Strategy	Group,	Inc.
Top	10	2016	IT	Priorities
18%
19%
20%
20%
20%
20%
21%
22%
23%
37%
Business	c...
©	2016	by	The	Enterprise	Strategy	Group,	Inc.
ESG	Survey	Respondents	Represent	Stakeholders
Database	administrator,	26%
Ma...
©	2016	by	The	Enterprise	Strategy	Group,	Inc.
Who	Initiates	New	Big	Data	and	Analytics	Projects?
18%
19%
20%
26%
28%
29%
3...
©	2016	by	The	Enterprise	Strategy	Group,	Inc.
23%
23%
25%
27%
29%
32%
52%
53%
Service	provider
Value-added	reseller	(VAR)
...
©	2016	by	The	Enterprise	Strategy	Group,	Inc.
Most	Expect	Time	to	Value	of		>6	Months
7%
15%
35%
31%
11%
0%
We	will	see	va...
©	2016	by	The	Enterprise	Strategy	Group,	Inc.
Fundamental	Data	Lake	Processes
Capture	and	aggregate	data
Prepare	and	trans...
©	2016	by	The	Enterprise	Strategy	Group,	Inc.
Hadoop	Data	Lake	Implementation	Plans
Already	using	Hadoop,	20%
Very	interes...
©	2016	by	The	Enterprise	Strategy	Group,	Inc.
How	Hadoop	Data	Lakes	Will	Impact	Data	Warehouses
Hadoop	will	largely	replac...
©	2016	by	The	Enterprise	Strategy	Group,	Inc.
Types	of	Hadoop	Distributions	Planned
Pure	open	source	distribution	
(i.e.,	...
Zaloni Confidential and Proprietary - Provided under NDA
Data lake challenges and complications
Building: Managing: Delive...
Zaloni Confidential and Proprietary - Provided under NDA
Zaloni’s data lake solution
• Ingestion
• Lack of Visibility
• Pr...
Zaloni Confidential and Proprietary - Provided under NDA
Data Lake 360: Zaloni’s holistic approach to actionable big data
...
Zaloni Confidential and Proprietary - Provided under NDA
Data Lake 360: Zaloni’s holistic approach to actionable big data
Zaloni Confidential and Proprietary - Provided under NDA
Data lake reference architecture
Consumption
Zone
Source
System
F...
Challenge: The company needed a more cost-effective, flexible and
expandable data processing and storage environment that ...
Challenge: To develop a multi-vendor loyalty program required gathering
information from a wide variety of sources, bring ...
©	2016	by	The	Enterprise	Strategy	Group,	Inc.
©	2016	by	The	Enterprise	Strategy	Group,	Inc.
ESG	Findings	on	the	Value	of	Zaloni	Bedrock
Key	Customer	Benefits	Summary:
•...
©	2016	by	The	Enterprise	Strategy	Group,	Inc.
Estimated	Economic	Value	of	Zaloni	Bedrock
Table	1.	Three-year	TCO,	Zaloni	v...
©	2016	by	The	Enterprise	Strategy	Group,	Inc.
IT	Investment	Justification
14%
19%
19%
22%
27%
32%
35%
39%
Speed	of	payback...
©	2016	by	The	Enterprise	Strategy	Group,	Inc.
Thank	You
Enterprise	Strategy	Group		|		Getting	to	the	bigger	truth.™
http:/...
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Webinar - Risky Business: How to Balance Innovation & Risk in Big Data

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Big data is a game-changer for organizations that use it right. However, a dynamic tension always exists between rapid innovation using big data and the high level of production maturity required for an enterprise implementation. Is it possible to find the right mix? Our webinar answers this question.

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Webinar - Risky Business: How to Balance Innovation & Risk in Big Data

  1. 1. © 2015 by The Enterprise Strategy Group, Inc. Enterprise Strategy Group | Getting to the bigger truth.™ Risky Business: How to Balance Innovation & Risk in Big Data Scott Gidley, VP of Products, Zaloni Nik Rouda, Senior Analyst, ESG © 2016 by The Enterprise Strategy Group, Inc.
  2. 2. © 2015 by The Enterprise Strategy Group, Inc. Zaloni Confidential and Proprietary - Provided under NDA • Award-winning provider of enterprise data lake management solutions: Integrated data lake management platform Self-service data preparation • Data Lake Design and Implementation Services: POC, Pilot, Production, Operations, Training • Data Science Professional Services 2 Delivering on the business of big data Financed by top-tier technology investors:
  3. 3. About ESG • ESG is an IT analyst, research, and strategy company. • Our firm was founded in 1999 with headquarters in Milford, MA / an analyst and client relations presence in Silicon Valley, CA. • ESG conducts research with and for IT vendors, IT professionals, business professionals, and channel partners. • We maintain ongoing analyst coverage in cloud computing, networking, storage, data protection, cybersecurity, data management and analytics, application development and deployment, enterprise mobility, and channels. • Capabilities include: Analyst services, market research, technical performance testing, economic validation, consulting, and custom content.
  4. 4. © 2016 by The Enterprise Strategy Group, Inc. Importance of Big Data & Analytics Projects 48% 32% 14% 3% 2% 1% 20% 40% 21% 13% 4% 1% Our most important priority One of our top 5 priorities One of our top 10 priorities One of our top 20 priorities Not among our top 20 priorities Don’t know/no opinion Relative to all of your organization’s business and IT priorities over the next 12-18 months, how would you rate the importance of its big data analytics projects and initiatives? (Percent of respondents, N=475) Importance of big data analytics projects and initiatives relative to all business priorities Importance of big data analytics projects and initiatives relative to all IT priorities Compared to business priorities Compared to IT priorities A partial mismatch as big data is essential for the business, yet is just one of many goals for IT.
  5. 5. © 2016 by The Enterprise Strategy Group, Inc. Top 10 2016 IT Priorities 18% 19% 20% 20% 20% 20% 21% 22% 23% 37% Business continuity/disaster recovery programs Improving collaboration capabilities Desktop virtualization Increasing use of server virtualization Major application deployments or upgrades Improving data backup and recovery Data integration Managing data growth Business intelligence/data analytics initiatives Cybersecurity initiatives Taken together, this is effectively a data lake. Top 10 most important IT priorities over the next 12 months. (Percent of respondents, N=633, ten responses accepted)
  6. 6. © 2016 by The Enterprise Strategy Group, Inc. ESG Survey Respondents Represent Stakeholders Database administrator, 26% Manager of development or developer of business intelligence/analytics solutions, 23% Data engineer, 13% Data analyst, 12% Data warehouse/business intelligence/analytics manager, 9% Enterprise or data architect, 7% Business analyst, 6% Data scientist, 5% DBAs and developers still dominate, even as many roles come into play. Which of the following best describes your primary area of responsibility? (Percent of respondents, N=475)
  7. 7. © 2016 by The Enterprise Strategy Group, Inc. Who Initiates New Big Data and Analytics Projects? 18% 19% 20% 26% 28% 29% 30% 40% 41% 45% Legal/risk/compliance Marketing management Sales management Information security teams Operations management Senior business executives (e.g., CEO, CFO, etc.) Business analyst/data scientist team Senior IT executives (e.g., CIO, CTO, etc.) IT infrastructure and operations team IT applications team Which of the following groups are initiating new projects in the area of big data and analytics? (Percent of respondents, N=475, multiple responses accepted) IT Bridge Business Traditional IT has reasserted control and taken responsibility.
  8. 8. © 2016 by The Enterprise Strategy Group, Inc. 23% 23% 25% 27% 29% 32% 52% 53% Service provider Value-added reseller (VAR) Business application vendor Management consultancy Systems integrator (SI) Business analyst/data scientist team IT applications team IT infrastructure and operations team Internal staff Third- party experts Which of the following groups provides the skills and manpower to implement and manage the technologies supporting initiatives in the area of big data and analytics? (Percent of respondents, N=475, multiple responses accepted) 36% cite a problematic skills shortage for business intelligence & analytics Data Lakes Success Will “Take a Village”
  9. 9. © 2016 by The Enterprise Strategy Group, Inc. Most Expect Time to Value of >6 Months 7% 15% 35% 31% 11% 0% We will see value immediately 1 month to 6 months 7 months to 12 months 13 months to 24 months 25 months to 36 months More than 36 months For new initiatives in the area of big data and analytics, how long do you think it will take for your organization to start seeing significant business value? (Percent of respondents, N=475)
  10. 10. © 2016 by The Enterprise Strategy Group, Inc. Fundamental Data Lake Processes Capture and aggregate data Prepare and transform Discover and explore Build models and analyze Visualize and report Maintain and support
  11. 11. © 2016 by The Enterprise Strategy Group, Inc. Hadoop Data Lake Implementation Plans Already using Hadoop, 20% Very interested in Hadoop, 37% Somewhat interested in Hadoop, 27% Not at all interested in Hadoop, 5% Not familiar with Hadoop technology, 8% Don’t know, 3% How would you rate your organization’s interest in implementing Hadoop? (Percent of respondents, N=475)
  12. 12. © 2016 by The Enterprise Strategy Group, Inc. How Hadoop Data Lakes Will Impact Data Warehouses Hadoop will largely replace our existing data warehouse, 26% Hadoop will offload/optimize our existing data warehouse, 36% Hadoop will be used only for limited data warehouse -like functions, 28% No plans to use Hadoop for any data warehouse -like functions, 11% How do you anticipate Hadoop will fit against your organization’s traditional data warehouse approach? (Percent of respondents, N=94)
  13. 13. © 2016 by The Enterprise Strategy Group, Inc. Types of Hadoop Distributions Planned Pure open source distribution (i.e., Apache Hadoop), 24% Commercial distribution (e.g., Cloudera, MapR, Hortonworks, etc.), 35% Hybrid approach (i.e., some open source combined with some commercial distributions), 40% Don’t know, 1% Which of the following describes the type of Hadoop distribution(s) your organization is currently evaluating? (Percent of respondents, N=300)
  14. 14. Zaloni Confidential and Proprietary - Provided under NDA Data lake challenges and complications Building: Managing: Delivering: • Ingestion • Lack of Visibility • Privacy and Compliance • Quality Issues • Reliance on IT • Reusability • Rate of Change • Skills Gap • Complexity
  15. 15. Zaloni Confidential and Proprietary - Provided under NDA Zaloni’s data lake solution • Ingestion • Lack of Visibility • Privacy and Compliance • Quality Issues • Reliance on IT • Reusability • Rate of Change • Skills Gap • Complexity Managing: Delivering: Govern the data in the lake • Cleanse • Secure • Operationalize Enable the data lake • Ingest • Organize • Catalog Building: Engage the business • Discover • Enrich • Provision
  16. 16. Zaloni Confidential and Proprietary - Provided under NDA Data Lake 360: Zaloni’s holistic approach to actionable big data 1. Enable the lake 2. Govern the data 3. Engage the business • Foster a data-driven business through self-service data discovery and preparation • Safeguard sensitive data and enable regulatory compliance • Improve data visibility, reliability and quality to reduce time-to- insight • Leverage the full power of a scale-out architecture with an actionable, scalable data lake
  17. 17. Zaloni Confidential and Proprietary - Provided under NDA Data Lake 360: Zaloni’s holistic approach to actionable big data
  18. 18. Zaloni Confidential and Proprietary - Provided under NDA Data lake reference architecture Consumption Zone Source System File Data DB Data ETL Extracts Streaming Transient Loading Zone Raw Data Refined Data Trusted Data Discovery Sandbox Original unaltered data attributes Tokenized Data APIs Reference Data Master Data Data Wrangling Data Discovery Exploratory Analytics Metadata Data Quality Data Catalog Security Data Lake Integrate to common format Data Validation Data Cleansing Aggregations OLTP or ODS Enterprise Data Warehouse Logs (or other unstructured data) Cloud Services Business Analysts Researchers Data Scientists
  19. 19. Challenge: The company needed a more cost-effective, flexible and expandable data processing and storage environment that would reduce mainframe load and mainframe support risk Solution: Zaloni built a data lake architecture to offload mainframe data security into Hadoop leveraging the Bedrock data lake management platform Zaloni Enables EDW Augmentation That Saves Millions GLOBAL CONSUMER INSIGHTS FIRM Industry: Market Research Company Description: Top 10 Market Research Firm Technical Use Case: EDW Augmentation Big Data Technologies: Zaloni Bedrock, MapR, Zookeeper Deployment: On premises At a Glance Zaloni Confidential and Proprietary - Provided under NDA $5.2 MILLION annual savings $4.4 MILLION projected additional savings Nearly 50% REDUCTION in mainframe usage consumption 1M+ records/ secondthroughput rate Results
  20. 20. Challenge: To develop a multi-vendor loyalty program required gathering information from a wide variety of sources, bring it all into a unified platform, and give marketers access to the data for customer targeting. Solution: Zaloni built a data lake to house all customer data, as well as an interactive visualization platform that enabled marketers to profile customers on selection (based on demographics, geography, etc.) for analysis. Zaloni Enables 360˚ Customer View For Effective Loyalty Program GLOBAL CREDIT CARD ISSUER Industry: Financial Services Company Description: Global credit card issuer Technical Use Case: Data Lake 360˚ - Agile Analytics Business Use Case: Customer 360˚ - Behavioral Analytics and Customer Segmentation Big Data Technologies: Zaloni Professional Services, MapR, Elasticsearch Deployment: On premises Zaloni Confidential and Proprietary - Provided under NDA At a Glance 1Mcustomer sign-ups 22M users collecting data from 1M+ hits/day on the customer Results in 3 weeks system
  21. 21. © 2016 by The Enterprise Strategy Group, Inc.
  22. 22. © 2016 by The Enterprise Strategy Group, Inc. ESG Findings on the Value of Zaloni Bedrock Key Customer Benefits Summary: • Dramatically reduced time to implement Bedrock versus custom- developed tools • Ease of offloading ongoing enhancements and operational management • Increased analyst productivity with less expertise required • Reduced time to insight adding to the bottom line “For every 300 data engineers out there maybe one or two has really good Hadoop experience. We estimated 6-8 months, and $2-3M development to roll out just the basics, assuming we could find the people.” “I would need at least two engineers to support and maintain applications over time. This equates to at least $300K in staff OPEX vs. our licensing cost with Bedrock. Not to mention, we are able to leverage enhancements that serve Zaloni’s entire community of customers, not just what our internal people request.”
  23. 23. © 2016 by The Enterprise Strategy Group, Inc. Estimated Economic Value of Zaloni Bedrock Table 1. Three-year TCO, Zaloni versus the PMO Category Zaloni PMO Hardware $250,000 $469,156 Software $900,000 $904,870 Infrastructure $27,500 $28,600 Maintenance and Support $135,000 $660,974 Professional Services $17,500 $15,000 Staff Personnel $378,000 $1,312,250 Total three-year costs $1,708,000 $3,390,850 Source: Enterprise Strategy Group, 2016.
  24. 24. © 2016 by The Enterprise Strategy Group, Inc. IT Investment Justification 14% 19% 19% 22% 27% 32% 35% 39% Speed of payback Reduction in capital expenditures Reduced time-to-market for our products or services Improved regulatory compliance Reduction in operational expenditures Business process improvement Return on investment Improved security/risk management Which of the following considerations do you believe will be most important in justifying IT investments to your organization’s business management team over the next 12 months? (Percent of respondents, N=633, three responses accepted)
  25. 25. © 2016 by The Enterprise Strategy Group, Inc. Thank You Enterprise Strategy Group | Getting to the bigger truth.™ http://www.twitter.com/esg-global http://www.facebook.com/ESGglobal https://www.linkedin.com/groups?gid=1295607&trk=myg_ugrp_ovr http://www.youtube.com/user/ESGglobal FOLLOW ESG Nik Rouda, Senior Analyst nik.rouda@esg-global.com 510.388.7763

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