Digital transformation is focused on the customer, but the path to successful digital transformation requires enterprises to be more agile, increasingly efficient at product and service delivery, and astute at understanding changing customer needs. In many cases, digital transformation requires enterprises to become more data-driven, adopt tools and technologies that are highly effective at leveraging this data, and execute on compelling use cases identified by this data. These slides based on the webinar from leading IT research firm Enterprise Management Associates (EMA) and DataStax: - Provide insights into the attributes of leading enterprises that are pursuing digital transformation - Explain how being data-driven is leveraged by these enterprises to support both existing customer needs and attract new customers - Outline best practices based on comparing the performance of data-driven leaders vs. laggards

1. What It Takes to Be a Leading
Data-Driven Enterprise
David Joy
Partner Data Architect
DataStax
Steve Hendrick
Research Director
Enterprise Management Associates

2. Watch the
On-Demand Webinar
https://info.enterprisemanagement.com/what-it-
takes-to-be-a-leading-data-driven-enterprise-
webinar-ws

3. Featured Speakers
© 2021 Enterprise Management Associates, Inc. 3
| @ema_research
Steve has over 20 years of experience as an industry
analyst and 10 years of experience across a variety of
application development roles. He brings advanced
quantitative and qualitative research techniques as an
industry analyst, providing vendors with deep insight
into the markets where they compete.
David, working as a Partner Data Architect at DataStax,
is passionate about building cloud-native solutions with
Cassandra, Distributed Scalable systems in the Cloud.
Steve Hendrick
Research Director
Enterprise Management Associates
David Joy
Partner Data Architect
DataStax

4. EMA on Becoming A Data-Driven Enterprise
© 2021 Enterprise Management Associates, Inc. 4
1. Insights into digital transformation attributes
2. The importance of being data driven
3. Best practices of data-driven enterprises

5. DataStax NoSQL Survey
Sample
• Size: 510
• Survey fielded: March 2021
• Scope: Worldwide
• Enterprises: Technology consumers not producers or integrators
• Enterprise size: 1,000 employees or more
Respondent Screening Criteria
• App Dev, RDBMS, or NoSQL expertise
• Director, VP, or C-Level role
• Material enterprise engagement in app development
MoE is +/- 3.7% with 90% confidence and +/- 4.4% with 95% confidence
© 2021 Enterprise Management Associates, Inc. 5

6. Digital Trans Laggard
Digital Trans Leader
Data-driven Leader
Data-driven Laggard
© 2021 Enterprise Management Associates, Inc. 6
| @ema_research
Evaluating Digital Transformation and Data-driven Leaders and Followers
6%
8%
21%
44%
21%
Planning - discussing plans for digital initiatives
Just beginning - formalized digital initiatives and goals, but just starting
to roll them out
In process - beginning to execute our digital initiatives
Advanced - implemented and optimized most but not all digital
initiatives
Highly advanced - implemented and optimized digital initiatives
company-wide
q30: Which of the following best describes the stage of digital transformation your
company is in?
DataStax State of NoSQL Survey, March 2021
N=510, Valid cases
1%
8%
18%
49%
23%
Planning - we are discussing plans for data initiatives
Just beginning - we have a formalized data strategy but have not yet
begun implementation
In process - we have begun to implement our data strategy
Advanced - we have operationalized most of our data strategy but still
have room to improve
Highly advanced - we are excellent at discovering, leveraging, and
operationalizing data
q31: Which of the following best describes how data-driven your organization is?

7. © 2021 Enterprise Management Associates, Inc. 7
| @ema_research
Why Digital Transformation Matters
12%
39%
49%
5%
29%
66%
4%
8%
88%
The application development that we do is having no impact on
revenue generation
The application development we do is having some impact on
revenue generation
The application development that we do is having a material impact
on revenue generation
q10: How would you describe the current importance of application development to how your enterprise generates
revenue? | segmented by | q30a: Which of the following best describes the stage of digital transformation your
company is in?
Dig Trans Laggard Dig Trans Mainstreamer Dig Trans Leader
DataStax State of NoSQL Survey, March 2021
N=510, Valid cases
6%
33%
62%
2%
21%
77%
2%
8%
90%
The data that we use has no impact on revenue generation
The data that we use has some impact on revenue generation
The data that we use has a material impact on revenue generation
q11: How would you describe the current importance of data to how your enterprise generates revenue? |
segmented by | q30a: Which of the following best describes the stage of digital transformation your company is in?
Dig Trans Laggard Dig Trans Mainstreamer Dig Trans Leader

8. © 2021 Enterprise Management Associates, Inc. 8
| @ema_research
Attributes of Digital Transformation Leaders – Cloud Computing
1%
6%
23%
31%
16%
19%
5%
1%
8%
20%
16%
41%
14%
1%
3%
13%
6%
25%
52%
We don't yet use cloud computing infrastructure
Our cloud computing infrastructure is only provided by our private
data centers
Our cloud computing infrastructure is provided by one cloud service
provider and our private data centers
Our cloud computing infrastructure is provided by more than one
cloud service providers and our private data centers
Our cloud computing infrastructure is provided by one cloud service
provider
Our cloud computing infrastructure is provided by more than one
cloud service provider
Our cloud computing infrastructure is provided entirely by a managed
service provider
q12: How would you describe your enterprise's approach to cloud computing? |
segmented by | q30a: Which of the following best describes the stage of digital
transformation your company is in?
Dig Trans Laggard Dig Trans Mainstreamer Dig Trans Leader
DataStax State of NoSQL Survey, March 2021
N=510, Valid cases

9. © 2021 Enterprise Management Associates, Inc. 9
| @ema_research
Attributes of Digital Transformation Leaders – DevOps
2%
21%
58%
16%
3%
1%
4%
25%
59%
10%
2%
4%
30%
64%
We have not started to automate any activities in our
DevOps pipeline
We are just beginning to automate one or two activities in
our DevOps pipeline
We have automated some of the key activities in our
DevOps pipeline
We have automated many of the activities in our DevOps
pipeline
We have automated nearly all activities in our DevOps
pipeline
q22: How would you describe your organizations involvement in DevOps? by q30a:
Which of the following best describes the stage of digital transformation your company
is in?
Dig Trans Laggard Dig Trans Mainstreamer Dig Trans Leader
DataStax State of NoSQL Survey, March 2021
N=510, Valid cases

10. Attributes of Digital Transformation Leaders
1. You have a comprehensive understanding of application development, SQL, and NoSQL.
2. You have a significant focus on application development that spans all aspects of your business
(customers, partners, internal needs).
3. You are often a financial services, manufacturing, telco, health care, or business services
company.
4. 89% of you report that applications and data are significant revenue drivers.
5. You primarily leverage cloud services (31%) and especially cloud services that are SaaS and from
an MSP (52%).
6. You are often a larger enterprise and likely to have a 2020 IT budget of $1 billion or more.
7. Your 2021 IT budget has increased significantly from 2020.
8. 59% of you have an application portfolio that is a mixture of legacy and cloud apps.
9. 64% of you are a DevOps leader having automated nearly all DevOps activities.
10. 54% of you report that nearly all of your application development is container-based.
© 2021 Enterprise Management Associates, Inc. 10

11. © 2021 Enterprise Management Associates, Inc. 11
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Digital Transformation Leadership Means Data-driven Leadership
1%
16%
44%
35%
4%
1%
9%
78%
12%
1%
0%
1%
20%
78%
Not applicable - data strategy is not a priority
Planning - we are discussing plans for data initiatives
Just beginning - we have a formalized data strategy but
have not yet begun implementation
In process - we have begun to implement our data
strategy
Advanced - we have operationalized most of our data
strategy but still have room to improve
Highly advanced - we are excellent at discovering,
leveraging, and operationalizing data
q31: Which of the following best describes how data-driven your organization is? by
q30a: Which of the following best describes the stage of digital transformation your
company is in?
Dig Trans Laggard Dig Trans Mainstreamer Dig Trans Leader
q31 X q30
.71
Correlation
DataStax State of NoSQL Survey, March 2021
N=510, Valid cases

12. The Importance of Being a Data-driven Enterprise
1. Being data-driven is about using data to drive decisions and actions.
2. The foundation of being data-driven is data with increased variety, volume, velocity, and
granularity.
3. Objective: understand domain specific characteristics, needs, and policy. Then, Analyze,
decide, and act more specifically, accurately, and more quickly.
4. Acquire better data and context, experience, and intelligence.
5. Look for opportunities to transition from reactive to proactive
6. Use ML to drive processes improvement and AI to develop adaptive systems.
7. Being data-driven enables enterprises to provide far higher levels of personalized service and
move far closer to the goal of addressing markets of one.
8. Being data-driven enables you to potentially drive adjacent sources of revenue from existing
customers and craft solutions that attract new customers and drive new channels of revenue.
© 2021 Enterprise Management Associates, Inc. 12

13. © 2021 Enterprise Management Associates, Inc. 13
| @ema_research
New Workloads Can Benefit from New Data Management Strategies
30%
34%
18%
20%
46%
47%
31%
35%
62%
63%
54%
54%
Real-time workloads
eCommerce workloads
Digital experience workloads
AI/ML workloads
q42-q45: Average workload penetrations by category | segmented by | q31a:
Which of the following best describes how data-driven your organization is?
Data-driven Laggards Data-driven Mainstreamers Data-driven Leaders
DataStax State of NoSQL Survey, March 2021
N=510, Valid cases

14. © 2021 Enterprise Management Associates, Inc. 14
| @ema_research
NoSQL Data Growth Pervasive, but Especially for Data-driven Leaders
3%
8%
27%
54%
6%
1%
2%
24%
56%
16%
2%
1%
10%
36%
51%
Decrease a great deal
Decrease somewhat
Remain the same
Increase somewhat
Increase a great deal
q41: How do you expect the share of data handled by NoSQL databases to change
over the next 12 months? by q31a: Which of the following best describes how data-
driven your organization is?
Data-driven Laggard Data-driven Mainstreamer Data-driven Leader
DataStax State of NoSQL Survey, March 2021
N=510, Valid cases

15. Best Practices for Becoming a Data-driven Enterprise
1. Use Data-driven technology to increase your enterprise’s agility, be more confident in decision
making, more responsive in actions, and more intelligent about addressing business needs.
2. Develop a comprehensive understanding of data-driven technologies and how they support
your business needs, concerns, and opportunities. Be aware, there are many.
3. Develop a data-driven CoE to drive C-level engagement and foster a data-driven culture in IT
and LoBs to deliver on the prior best practice.
4. A decision or inference engine is an effective way to render decisions on demand or in real time.
5. Data-driven leaders use SaaS and MSP capabilities to simplify and backstop their development
and operations while freeing up more resources to focus on business opportunities.
6. Be aware that great talent is hard to find and expensive.
7. NoSQL is another key tool for opportunities that require a more organic data model and efficient
query engine than the relational model can provide.
© 2021 Enterprise Management Associates, Inc. 15

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24. Thank You!

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