Speed Matters - Intelligent Strategies to Accelerate Data-Driven Decisions

Speed Matters
Intelligent Strategies to Accelerate
Data-Driven Decisions
August 2021
Michael Distler, Qlik
Matt Aslett, 451 Research

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Copyright © 2021 S&P Global Market Intelligence.
Permission to reprint or distribute any content from this presentation requires the prior written approval of S&P Global Market Intelligence.
Today’s speakers
2
Matt Aslett
Research Director
451 Research, part of S&P Global
Market Intelligence
matthew.aslett@spglobal.com
Michael Distler
Sr. Director, Product Marketing
Qlik
michael.distler@qlik.com

[Webinar] August 2021
The importance and benefits
of accelerating the path from
data to decision
Matt Aslett
Research Director
451 Research, part of S&P Global Market Intelligence

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The importance and benefits of being data-driven
Q. Looking ahead 12 months, do you think data will be more important to your organization’s decision-making, less important, or will there be no change 12 months from now? Base: All respondents (n=658)
Q. What are the most significant benefits your organization would expect from being more data-driven? Base: All respondents (n=654)
Source: 451 Research Voice of the Enterprise, Data Platforms & Analytics, Data Platforms 2021
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Amid COVID, the most successful are more likely to have thrived
5
Q. What proportion of your organization’s data and analytics initiatives conducted in the last two years would you characterize as having been successful?
Q. To what extent do you agree or disagree with each of the following statements?-”My organization has increased the number or scope of active analytics projects as a result of COVID-19.“ Q. To what extent do you agree or disagree with each of the following
statements?-”My organization has increased its spending on data management/analytics products and services as a result of COVID-19.“
Base: All respondents
Source: 451 Research’s Voice of the Enterprise: Data & Analytics, Data Management & Analytics 2020

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Barriers faced in attempting to be more data-driven
6
Q. What are the most significant barriers your organization faces in attempting to be more data-driven? Please select all that apply.
Base: All respondents (n=641)
Source: 451 Research’s Voice of the Enterprise: Data & Analytics, Data Platforms 2021

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Time taken to generate insight from raw data
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Q. When creating new analytics reporting or dashboard environments, approximately how long does it take to first generate insight from raw data?
Source: 451 Research’s Voice of the Enterprise: Data Platforms & Analytics, Data Platforms 2021

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Anticipated benefits of reducing time to insight from data
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Q. If your organization could generate insights from data more quickly, which of the following benefits would you expect to achieve as a result? Please select all that apply.
Source: 451 Research’s Voice of the Enterprise: Data Platforms & Analytics, Data Platforms 2021

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Permission to reprint or distribute any content from this presentation requires the prior written approval of S&P Global Market Intelligence. 9
Accelerating the path from data to decision
Modern data projects require approaches that are not burdened by traditional assumptions
about being served by stand-alone products and services.
There are potential opportunities to deliver enhanced efficiency and reduce data friction
though the use of unified data platforms that consolidate the functionality required to accelerate
the path from data to decision.

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Many data-driven initiatives are focused on products and services
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Q. What steps has your organization taken to improve its data culture? Please select all that apply. Base: Analytics respondents (n=360)
Source: 451 Research’s Voice of the Enterprise: Data Platforms & Analytics, Data Management & Analytics 2020

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“Despite enormous innovation in the data
and analytics sector in recent years, for
many organizations there remains a gap
between what is theoretically possible with
the latest data and analytics technology
and a practical, meaningful impact on
business decision-making.”
“One of the reasons for this is that in many
companies, data and analytic projects
remain built around data pipelines and
analytic processes that assume the use of
stand-alone data integration, processing
and analytic products as steps on the path
from data to decision.”
11

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The rise of the enterprise intelligence platform
12
Q. For a greenfield analytics initiative, which of the following approaches would best describe your organization’s purchasing preference for database, data integration and analytics products/services? Assume options are functionally equivalent.
Source: 451 Research’s Voice of the Enterprise: Data & Analytics, Data Platforms 2021
For a greenfield analytics
initiative, almost half (46%)
of enterprises would prefer
a consolidated platform
offering from a single
vendor for database, data
integration and analytics
products/services

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Key requirements of an enterprise intelligence platform
Load data first, ask questions later
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All the data, all the time
Take the query to the data
Reduced data friction
Support analytics innovation

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Acceleration of business insight relies on a combination of capabilities that deliver more agile
approaches to data ingestion and integration; and drive the acceleration of multiple business
intelligence and analytics tools by multiple users for multiple purposes.
In order to remain competitive amid fast-changing socioeconomic conditions, enterprises need
to invest in data and analytics products, services and functionality that support business
agility and accelerate the path from data to decision.
At each of the steps on the path from data to decision (data ingestion and integration; data
storage and processing; and data visualization and analysis), there are opportunities to
deliver improved efficiency and reduce data friction.
14
Key takeaways

Accelerating
Data-Driven
Decisions with Qlik
August 2021
Michael Distler
Sr. Director, Product Marketing

16
Accelerating the path from data to decision
Free it.
Find it.
Understand it.
Action it.
RAW DATA
INFORMED ACTION
From raw data to informed actions

17
From raw data to Informed actions
End-to-End Solution
Free it.
Find it.
Understand it.
Action it.
RAW DATA
INFORMED ACTION

18
Data Integration
DataOps for Analytics
Free it. Find it. Understand it. Action it.
Find it. Understand it. Action it.
Change Data
Capture
Powerful Data
Automation
Enterprise
Data Catalog
Most efficient, performant way
to move data in real-time
Increasing agility and scale
with less resources
Trusted, governed access to
all the right data

19
Data Analytics
3rd-Generation BI
Associative
Difference
Augmented
Analytics
Embedded at the
Point of Decision
Adding peripheral vision to
see the whole story
The power of AI everywhere
for everyone
Closing the gap between
insight and action

20
Data Literacy as a Service
Customer Success Approach
24x7 Enterprise
Support
Signature
Success Services
Data Literacy
Program
Around the clock support for all
critical issues
Personalized, bundled strategic
services
Product-agnostic consulting and
education services

21
Supporting Market Disruption
End-to-End Data Approach Drives Value
Challenge Solution Value
• Respond to seismic
changes in the
automotive market by
identifying new revenue
opportunities
• Create a consistent
approach to data
management, enabling
the business to share and
access data
• Data integration
ecosystem allows a
broad range of data
sources from new
acquisitions to be better
rationalized and
integrated faster
• Powerful data analytics
empowers analysts to
construct information
models from new vantage
points and uncover better
insights
• Reduced data readiness
project span 10x
• Increased developer
productivity 5x
• Delivered transformative
insights within 3 months
• Achieved 80% adoption
rate of analytics within
3 months of launch
• IAS was recently acquired
thanks in part to their data
strategy
CDC Streaming
Data Catalog
Data Warehouse
Self-Service Analytics
Reporting
GeoAnalytics
Consulting
Education
In The
Business
Moment
“It turns out some of our
assumptions were
wrong. Qlik has changed
how we see our
customers and our
business.”
Patrick Straub, Vice President of
Business Intelligence, iAAmerican
Warranty Group

22
Going the Next Level
ACTIVE
INTELLIGENCE
Free it.
Find it.
Understand it.
Action it.
RAW DATA
INFORMED ACTION
Active Intelligence

23
TRADITIONAL BI ACTIVE INTELLIGENCE
Uses real-time,
up-to-date information
Ÿ
Establishes an intelligent
analytics data pipeline
Ÿ
Designed to trigger
immediate actions
Uses preconfigured,
curated data sets
Ÿ
Lacks a governed, end-to-
end data pipeline
Ÿ
Designed to inform,
not compel action

24
Driving Transportation Forward
• Implementation of a
Microsoft Azure
Databricks data lake led
to increasing pressure on
the operational data
stores that served as the
backbone for J.B. Hunt
360, the company’s
technology solution for
shippers and carriers
• Need to increase overall
efficiency and customer
responsiveness
• Change data capture
solution to deliver near
real-time data from a
variety of sources,
including legacy
mainframe systems and
SQL server, directly into
the Delta Lake, and
automated data modeling
and transformation for
Azure Synapse data
warehouse.
• Improved J.B. Hunt 360
user experience with
greater real-time data
availability and latency
reduced to just minutes
• Helped advance the
company’s expertise in
supply chain technology
• Supported the
development of
automated processes
to improve efficiencies
“We’re seeing more real-
time data in J.B. Hunt 360,
which gives shippers and
carriers up-to-the-minute
information on how they
are performing.”
Joe Spinelle, Director Engineering and Technology
In The
Business
Moment
CDC Streaming
Data Catalog
Data Warehouse

25
Managing COVID-19 in Real-Time
• Quickly adapt data
strategy in response to
COVID-19, to capture
data efficiently
• Support accessibility of
patient data securely for
remote employees during
pandemic, as well as
external healthcare
partners
• Collect and analyze large
amounts of data to
support real-time
decisions
• Dashboard rapidly
adapted so nurses could
annotate the throughput
of patients and their
COVID status
• Other analytics apps
quickly adapted to
capture pandemic-related
matters: how much
oxygen was left, mortuary
capacity etc.
• Mobile apps can be used
on the go outside of the
hospital network
• Achieved single source
of truth for their data,
enhancing data
governance and data
literacy
• Improved patient care
through increased
productivity and system
efficiencies, including
forward-looking plan to
address hospital
demand, and plan for
provisions and resources
“We now have live updates
on who is available or
isolating so we can spot
potential pinch points of
COVID-19 hotspots
quickly”
Mark Singleton, Associate Director of Data Analytics
& Assurance
Corporate Dashboard
Self-Service Analytics
Cloud Services
Alerting
In The
Business
Moment

26
Accelerating data-driven decisions
Free it.
Find it. Understand it.
Action it.
Alert
Monitor
Query
Discover Predict
Analysis
Slow Fast
Time-to-Answer

27
Enterprise Intelligence Platform
Sending to all attendees
Learn more…
Active Intelligence
qlik.com/active-intelligence

Speed Matters - Intelligent Strategies to Accelerate Data-Driven Decisions

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Speed Matters - Intelligent Strategies to Accelerate Data-Driven Decisions