research based on Foundry's 2022 Data & Analytics study

1. Data and Analytics Study 2022
Insight into organizations’ data-driven initiatives,
investments, goals and challenges.

2. 2
Purpose and methodology
2
Source: Foundry Data & Analytics Research, 2022
Survey goal
To gain a better understanding
of organizations’ data-driven
initiatives, investments, results
and strategies.
Total respondents: 872
Collection method: Online questionnaire
Number of questions: 32
Average company size: 12,498 employees
Region
North America: 61%
APAC: 24%
EMEA: 15%
IT leadership
All survey respondents are involved in the
purchase process for major IT or security
products and services
Audience base
CIO, Computerworld, CSO, InfoWorld
and Network World email invitations to
audience base.
7%
8%
8%
9%
10%
10%
14%
14%
Telecommunications &
Utilities
Services
Healthcare
Financial Services
Government/Nonprofit
Education
Manufacturing
Technology
Job titles
Top represented industries
60%
15%
17%
9%
6%
IT mgmt.
Exec. IT
Business mgmt.
IT pro
Other

3. The current status
of data & analytics
Source: Foundry Data & Analytics Research, 2022 3
84%
of organizations have
either already deployed or
have data-driven projects
on their roadmaps

4. 4
Data is fundamentally changing business
66% 88%
agree that the collection
and analysis of data has
fundamentally changed the
way their company did business
over the past three years
agree that the collection and
analysis of data has the potential
to fundamentally change the way
their company does business
over the next 1-3 years
Source: Foundry Data & Analytics Research, 2022
Question: Please rate your level of agreement with the following statements:
64%
agree that the pandemic
accelerated their organization’s
data-driven strategy

5. What’s driving
data-driven
initiatives?
Source: Foundry Data & Analytics Research, 2022 5
Question: What business goals or objectives are driving investments for data-driven initiatives at your organization?
1. Improve/automate internal business process
2. Improve customer insight and engagement
3. Improve customer service/support
4. Improve/automate IT operations
5. Improve existing products & improve
information security/cybersecurity

6. 6
Businesses struggle with appropriate skill sets
Question: Which of the following challenges did or will inhibit your organization’s progress with data-driven projects?
Source: Foundry Data & Analytics Research, 2022
13%
21%
21%
23%
25%
26%
28%
32%
38%
44%
Lack of opportunities for data-driven transformation
Technology to implement data projects is too
complex
Lack of executive buy-in or advocacy for data
initiatives
Other digital transformation initiatives took priority
Technology to implement data projects is too costly
Difficultly collecting data that is outside of our
corporate systems
Difficulty demonstrating ROI for data initiatives
Lack of budget/funding for data initiatives
Lack of clearly articulated data strategy
Lack of appropriate skill sets

7. 7
Technologies currently in use for analytical processing
Question: Which of the following technologies is your organization currently using for analytical processing? AND In which of the following technologies is your organization planning to make NEW investments over the next
12-24 months?
Source: Foundry Data & Analytics Research, 2022
5%
9%
11%
11%
11%
16%
15%
13%
27%
22%
19%
34%
7%
10%
12%
13%
14%
17%
17%
20%
28%
28%
47%
50%
Wide-column database
Graph database
Time series database
Key-value database
Column-oriented relational database
Streaming data processing platform
Distributed data analytics platform
Document database
Data science and machine learning platform
Enterprise data warehouse
Relational database
Business intelligence platform
Currently in use
Planning to invest over the next 12-24 months

8. 8
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