Enabling a Culture of Self-Service Analytics

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©2018 451 Research. All Rights Reserved.
Enabling a Culture of
Self-Service Analytics
Matt Aslett, 451 Research
Jennifer Cheplick, Syncsort
March 7, 2019

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©2018 451 Research. All Rights Reserved. 2
Jennifer Cheplick
Senior Director, Product Marketing
Matt Aslett
Research Vice President

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451RESEARCH.COM
451 Research is a leading IT
research & advisory company
Founded in 2000
250+ employees, including over 120 analysts
1,000+ clients: Technology & service providers, corporate advisory, finance,
professional services and IT decision-makers
2,000+ technology & service providers under coverage
451 Research and its sister company, Uptime Institute, are the two divisions of The
451 Group
Headquartered in New York City, with offices in London, Boston, San Francisco,
Washington DC, Austin, Mexico, Costa Rica, Brazil, Spain, UAE, Russia, Taiwan,
Singapore and Malaysia

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Becoming Data-Driven

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Importance of Data
Q. Looking ahead 12 months, do you think data will be more important to your organization, less important, or
will there be no change 12 months from now?

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Data Drivers
Data Drifters

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©2018 451 Research. All Rights Reserved.Q19. What is your organization’s most significant barrier to using data platforms and analytics?
9
Different barriers to data and analytics
Source: 451 Research, Voice of Enterprise: Data and Analytics 2018
30% 20% 10% 10% 20% 30%
Lack of available algorithms
Inability to utilize the analytics/results in our operational
systems
Hard to build and maintain
Data security/governance concerns
Not enough skilled resources
Lack of support/involvement from senior leadership
Accessing and preparing data
Limited budget
Data Drifters Data Drivers

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Q4. Which of the following types of data does your organization analyze?
1
0
Need to synchronize and integrate
60% 40% 20% 20% 40% 60% 80%
Social data
Location data
IT infrastructure data
External market data
Environmental data
Product data
Equipment/facilities data
Device data
Sales data
Marketing/advertising data
Employee behavior data
Customer behavior data
Data Drifters Data Drivers

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Q4. Which of the following types of data does your organization analyze? Q19. What is your organization’s most significant ba rrier
to using data platforms and analytics?
1
1
More data, more problems
The greater the number of data sources, the bigger data access and preparation headache
3.9
4.6
5.2
20% 20%
29%
0%
5%
10%
15%
20%
25%
30%
0
1
2
3
4
5
6
Average Number of Data Inputs Accessing and Preparing Data as a Significant Barrier
Data DriversData Drifters All respondents

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The democratization of data and analytics

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Data cathedral
13

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Data bazaar
14

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Organized agility
15

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16
Attribution: Share Alike Some rights reserved by Luigi Rosa
Data quality and business rules

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©2018 451 Research. All Rights Reserved. Copyright (C) 2018 451 Research LLC
Agility and organizational change

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Being data-driven is a team sport
18
Data
Analyst
Data
Architect
Database
Admin
Data
Engineer
Business
Analysts
IT
Operations
IT
Architects
Statistician
Data
Scientists
Developers
Data
Operations
Business
Experts
Senior
Executives
Chief
Data/
Analytics
Officer
The C
Suite

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The CDO (and their team – clearly, they cannot work alone) must be
empowered by the C-suite to drive change and deliver business value.
A CDO needs to articulate the strategic vision to business users.
However, equally important is to articulate the data and analytics
needs of the business users to senior executives.
Need to generate a culture that embraces data at the heart of the
decision-making process and to embrace experimentation.
Drive self-service analytics and data science innovation through agile
development, and experimenting around new business ideas.
Fail fast, with a level of autonomy from the IT department.
But also work closely with the IT department to ensure a smooth
transition as tactical projects move into production.
The role of the CDO/CAO

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Conclusions
Data is being seen as increasingly important to almost all organizations. Those that
don’t recognize the value of data and invest in it risk losing out to those who do.
Attempting to become more data-driven is not without it’s challenges. It is necessary to
invest in organizational and cultural change to generate a culture that embraces data at
the heart of the decision-making process
A solid investment in data governance and data quality enables democratization of self-
service access to data for analysts and scientists while maintaining access controls for
privacy, security, regulatory and data-quality reasons

Advancing Data
Jennifer Cheplick
Sr. Director, Product Marketing
jcheplick@syncsort.com

Introducing
Syncsort
>7,000 customers
84 of the Fortune 100
Customers in >100 countries
Headquarters: Pearl River, NY
U . S . L O C A T I O N S
• Burlington, MA; Irvine, CA;
Oakbrook Terrace, IL; Rochester, MN
G L O B A L P R E S E N C E
• U.K., France, Germany, Netherlands,
Israel, Hong Kong & Japan
Big Iron to Big Data is a fast-growing
market segment composed of solutions
that optimize traditional data systems
and deliver mission-critical data from
these systems to next-generation
analytic environments.
22
Global leader in
Big Iron to Big Data

It distinguishes
yesterday’s
bellwethers
from tomorrow’s
disruptors
Data is the bedrock on which businesses compete
Data dictates the success or failure of companies based on
how they own, access and analyze it to build new capabilities
Data provides trusted insights that can produce better
business results
We believe that data
makes the difference…
23

24
Advancing data
Cloud IoT & Streaming AI & Data Science Data Governance
Mainframes and IBM i
run the core transactional
apps of most enterprises
Mobile & online increasing
transaction volumes and
workload unpredictability
Enterprises making major
investments in Big Data
platforms for new insights
MUST solve
for the present
& prepare for
the future
Optimized access to legacy data reserves is required to achieve the benefits of new tech
innovations!
Control costs
& improve
performance of
legacy systems
to help fund
new technology
investments
Increase security
& governance of
legacy data
systems to
prepare to take
advantage of
new innovations
Combine
legacy systems
with new data
sources to
power unique
business
insights

25
Advancing data
MUST solve
for the present
& prepare for
the future
innovations!
Control costs
& improve
performance of
legacy systems
to help fund
new technology
investments
Increase security
& governance of
legacy data
systems to
prepare to take
advantage of
new innovations
Combine
legacy systems
with new data
sources to
power unique
business
insights

26
Advancing data
MUST solve
for the present
& prepare for
the future
innovations!
Control costs
& improve
performance of
legacy systems
to help fund
new technology
investments
Increase security
& governance of
legacy data
systems to
prepare to take
advantage of
new innovations
Combine
legacy systems
with new data
sources to
power unique
business
insights

27
Advancing data
MUST solve
for the present
& prepare for
the future
innovations!
Control costs
& improve
performance of
legacy systems
to help fund
new technology
investments
Increase security
& governance of
legacy data
systems to
prepare to take
advantage of
new innovations
Combine
legacy systems
with new data
sources to
power unique
business
insights

Support data governance
and regulatory compliance
initiatives
Get visibility into critical
operational and security
data to quickly identify &
resolve problems
Ensure complete and
trusted data with industry-
leading data quality
Access, transform & deliver
data to analytics platforms
– in real-time – on premise
and in the cloud
Syncsort
Integrate
Connect today’s data
infrastructure with
tomorrow’s technology – and
ensure data quality –
powering machine learning, AI
and predictive analytics

29
Learn more:
syncsort.com/integrate

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Enabling a Culture of Self-Service Analytics

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