The document discusses delivering data governance with data intelligence software. It provides an overview of data governance challenges in the current digital transformation era where data is dynamic, diverse and distributed. It notes that a lack of data intelligence is costing organizations time and money due to inefficient data search, preparation and protection activities. The document then prescribes using data intelligence software to discover, catalog, profile and understand data relationships in order to answer the key questions about data and infuse trust. It provides examples of how data intelligence software can be applied through roles like data stewards and a three step plan of discover and clean data, organize and empower data stewards, and automate and enable self-service access to trusted data.

1. DELIVERING DATA
GOVERNANCE WITH A YES
MARCH, 2019

2. 22
ABOUT US
Stewart Bond, IDC @StewartLBond
• Research Director of IDC’s Data Integration and Integrity
Software service.
• Delivers industry best practice, market research and analysis
• Author of the research report ”Data Intelligence Software for Data
Governance”
• Sr Product Marketing Director, Data governance
• 25 years of experience in Data Management and BI
• Authored 4 books, and regular publications
• Talend is a next-generation leader in cloud and big data
integration software that helps companies make data a strategic
asset.
Jean-Michel Franco, Talend,
@jmichel_franco
https://www.talend.com/resources/data-intelligence-software-for-data-governance/

3. Data Enablement through Data Intelligence
Infusing Trust with Knowledge
Stewart Bond, Research Director
March 2019
© IDC

4. ▪ Data in the era of digital transformation
▪ Symptoms illustrating a lack of data intelligence and trust
▪ Prescribing data intelligence software
▪ Applying data intelligence in the organization
© IDC 4
Agenda

5. © IDC 5
Data is the lifeblood of digital transformation (DX)
Digital transformation environments are different, dynamic and diverse
Key
Takeaway

6. Hybrid and multi-cloud data environments are the new normal
6© IDC
Q. Thinking of your IT environment, select the platforms where data is, or will be persisted on when applying data
integration and integrity functions.
n = 289
Source: Data Integration and Integrity End User Survey 2017, IDC, November, 2017
Data is becoming more distributed
Key
Takeaway

7. Data more distributed and the technologies we are using to manage data
are more diverse, resulting in distributed technical complexity
7© IDC
Data management technologies that are being used to store
data, cross referenced with the platforms where data is.
n = 300
Source: Data Integration and Integrity End User Survey 2017, IDC, November, 2017
0% 20% 40% 60% 80% 100%
Cloud Only
Hybrid
OnPremises Only
% of Respondents
Data Technology by Deployment
Flat Files Hadoop Relational NoSQL Analytical In-Memory
Select all the types of data that are or will be processed by your
data integration / integrity solutions; Now, within 6 months, 12
months, 18 months.
Diversity of data and technologies drives complexity
Key
Takeaway
0% 20% 40% 60% 80% 100%
One
Two
Three
Four
Five
Six
Seven
Eight
Nine
Ten
% of Respondents
NumberofDataTypesIntegrated
Variety of Data Integrated by 2020
By 2020 Today

8. Custom code, community open source software and spreadsheets are
prevalent in data integration
8© IDC
How often do you use spreadsheets for the following activities?
How often do you use each of the following spreadsheet functions?
n = 207
Source: Data Integration and Integrity End User Survey 2017, IDC, November, 2017
 ToC
Custom Code;
22,6%
Community
Open Source;
12,8%
Commercial;
49,3%
Other Enterprise
Software; 15,3%
% Distribution of Alternatives, 2017
3,57
3,63
3,66
3,71
3,73
3,74
3,90
4,01
4,25
Pivot Tables
Data Cleansing
What-If Analysis
Data Visualization
Data Prep for BI Software
Data Augmentation
Data Prep for Presentations
Data Shaping
Data Sorting
Number of Times per Week
Frequency of Spreadsheet Activity
n = 300
Source: Data Integration and Integrity End User Survey 2017, IDC, November, 2017
What approximate percent of the DII solutions in your organization have
been or will be deployed within the next 6 months using each of the
following methods:
Spreadsheets are the shadow IT of distributed data integration, degrading trust
Key
Takeaway
51% use copy
/ paste to
import data
into
spreadsheets!!

9. 1
2
3
9
Data is the lifeblood of DX and data integrity is critical for the success of DX initiatives
Data in the era of DX is dynamic, diverse, and distributed
Data governance and integrity is being challenged by uncontrolled persistence, access
and consumption
© IDC
Data in the era of DX

10. The 80/20 rule is still in effect: 80% of time is being spent on searching,
preparing and protecting data with only 20% being spent on analysis
10© IDC
How many hours per week on average do you spend on each of the following data related activities?
n = 300
Source: Data Integration and Integrity End User Survey 2017, IDC, November, 2017
Searching
20%
Preparing
37%Analyzing
19%
Protecting
24%
Managing Data
81%
% of Time Spent on Data Activities (weekly)
Despite advancements in technology, the complexity and diversity of data
continues to drive inefficiencies
Key
Takeaway

11. On average, 25% of the time people are searching, preparing and protecting
data is wasted
11
How often are you successful in data asset searching, preparation, and protection?
© IDC ToC
n = 225
Source: Data Integration and Integrity End User Survey 2017, IDC, November, 2017
The state of data complexity is resulting in wasted time and money
Key
Takeaway
Up to another 10
hours is wasted
on re-creating
existing assets

12. Organizations feel the pain of these inefficiencies; knowing there is value in
trusting and understanding data
12
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Separate Governed from Ad-Hoc Assets
Ability to Find Assets
Understanding Asset Context
Understanding Relationships and Lineage
Asset Ownership and Responsibility
Knowing Asset Business Terms
Access to Timely Assets
Knowing who is Using the Asset
Knowing if Assets can be Trusted
Assets are Consistent and Complete
% of Respondents
Importance of Data and Information Asset Attributes
Very Important Important
Please indicate the importance of the following as it relates to your work with data and information assets
© IDC
n = 225
Source: Data Integration and Integrity End User Survey 2017, IDC, November, 2017
Attributes that Infuse Trust
Data Intelligence Attributes
How an organization is enabled by data is a differentiator
Key
Takeaway

13. 1
2
3
13
The current sate of data intelligence is costing organizations time and money
Trust in data can be improved through data enablement supported by intelligence
There is potential to invert the 80/20 rule with data intelligence
© IDC
Symptoms illustrating a lack of data intelligence

14. The who, what, where, where, why and
how of data and data relationships:
The why, what, who and how of data
intelligence software in data governance
14© IDC
It’s elementary: Data intelligence software answers the 5 W’s of data
Data intelligence enables organizations with data, infusing trust with knowledge
Key
Takeaway
Chief Data Officer; Chief Information Officer; IT Director; Line of Business IT
Managers; Data Security Officer; Data Stewards and Owners.
WHO
Data intelligence software is used for data discovery, cataloging, profiling,
mastering, and lineage; uncovering the data supply chain.
WHAT
WHY
Data intelligence informs data professionals with the knowledge required to
govern data assets, and enables the organization with data.
HOW
Organizations lack data knowledge for efficient and effective data
governance activities; 30% of the time spent on governance is wasted.

15. Data Governance Use Case
IDC’s view of the Data Intelligence Software Market
15© IDC
Data
Cataloging
Master Data
Intelligence
Data
Stewardship
and Profiling
Data Lineage
Data
Quality
Self-Service
Data
Preparation
Data Quality Management Use Case
Self-Service Data Use Case
Other DII Segments
Data governance, self-service and quality management enabled by data
intelligence
Key
Takeaway

16. Growth is being driven by regulations, recognition of data asset value, and because
of the current state of data intelligence
16
How do you currently perform data discovery and cataloging in your organization?
© IDC
n = 225
Source: Data Integration and Integrity End User Survey 2017, IDC, November, 2017
The current state of data intelligence is mostly manual and likely irrelevant
Key
Takeaway

17. 17© IDC
The current state of data intelligence is also reflected in the maturity of
data governance in the US
Source: IDC, IDC MaturityScape Benchmark: Data Governance in the United States, 2017, #US41714617
It’s time to turn the No of Data Governance into the Yes of Data Enablement
Key
Takeaway
▪ Too much focus on technology
▪ Governance = No
▪ Resource constraints
▪ Lack of data intelligence
▪ Lack of data literacy

18. Identify the key stakeholders of data intelligence – and the roles required
to implement
18© IDC
Data Enablement with Data Intelligence RACI Chart
CDO CIO CSO CPO ITD LOBIT DS DO DU
Data Dictionary A C I I C C R C C
Business Glossary A C I I C C R R C
Catalog A C I I C C R R C
Lineage A C I I C R C C C
Stewardship and Profiling A C I I C C R C C
Master Data Intelligence A C I I C R C R C
Notes:
R - Responsible, A - Accountable, C - Consulted, I - Informed
Data intelligence isn’t an only IT project but requires collaboration with business
and requires roles that are accountable for data and data outcomes
Key
Takeaway
▪ CDO – Chief Data Officer
▪ CIO – Chief Information
Officer
▪ CSO – Chief Security
Officer
▪ CPO – Chief Protection
Officer
▪ ITD – IT Directors
▪ LOBIT – Line of Business IT
▪ DS – Data Stewards
▪ DO – Data Owners
▪ DU – Data Users

19. ▪ Regulatory fines
▪ Reduced Risk
▪ Employee productivity
▪ Better business outcomes
© IDC 19
ROI can build a business case for data intelligence
Compliance reduces risk, improves productivity and outcomes
Key
Takeaway

20. 1
2
3
20
Use data intelligence software to answer the 5 W’s + Relationship of data
Assess where your organization is on the data governance maturity curve
Build a business case for further investment and plan your enablement program
© IDC
Prescribing and applying data intelligence

21. 2121
Time to value
BUSINESS NEEDS DATA AT SPEED
“Speed is the critical
competitive advantage”
-Reid Hoffman
Time to adapt to change

22. 2222
BUSINESS NEED DATA YOU CAN TRUST
Quality proofed
Governed
DATA
47%
of data has
integrity issues
PEOPLE
81%
time spent looking
for trusted data
ORGANIZATION
+70%
% cost of bad data
increase /year

23. 2323
ORGANIZATIONS ARE FORCED TO MAKE A
CHOICE BETWEEN SPEED AND TRUST
Unscalable, ungoverned Expensive, slow, restrictive
TRUST
Legacy enterprise solutions
SPEED
Hand coding
Point solution

24. 2424
WITHOUT COMPROMISE
TALEND DELIVERS BOTH
SPEED AND TRUST
TRUSTSPEED

25. 2525
FROM REALITY
TO THE
PROMISED LAND

26. 2626
A THREE-STEP PLAN
TO DELIVER DATA YOU CAN TRUST

27. 2727
#1 DISCOVER
& CLEAN

28. 2828
DISCOVER & CLEAN
DELEGATE CLEANSING
IN THE CLOUD
HIGHLIGHT
DATA QUALITY ISSUES
EXPLORE
ANY DATA

29. 2929
#1 DISCOVER
& CLEAN
#2 ORGANIZE
& EMPOWER
#1 DISCOVER
& CLEAN

30. 3030
ORGANIZE & EMPOWER
ORCHESTRATE
STEWARDSHIP
ENCOURAGE PEOPLE
WITH DATA CURATION
CREATE A SINGLE
SOURCE OF TRUST

31. 3131
#1 DISCOVER
& CLEAN
#2 ORGANIZE
& EMPOWER
#3 AUTOMATE
& ENABLE
#2 ORGANIZE
& EMPOWER

32. 3232
AUTOMATE & ENABLE
ENABLE EVERYONE
WITH CLOUD APPS
LEARN WITH ML
FOR REMEDIATION
<YES/NO>
PUBLISH TRUSTED DATA
WITH API SERVICES
APP
AP
PAPP
AP
P

33. 3333
#1 DISCOVER
& CLEAN
#2 ORGANIZE
& EMPOWER
#3 AUTOMATE
& ENABLE
DELIVER DATA YOU CAN TRUST

34. 3434
DATA
INTEGRATION
FROM DATA INTEGRATION TO INTELLIGENCE
• APPLICATION INTEGRATION
• DATA INTEGRATION
• DATA LOADING
Trust
DATA
INTEGRITY
DATA
INTELLIGENCE
• DATA PREPARATION
• DATA STEWARDSHIP
• DATA QUALITY
+
• DATA CATALOGING
• DATA LINEAGE
• METADATA MGMT +
e.g. Stitch, Cloud
Data Integration
e.g. Cloud Data
Management
Platform
Talend
Data Catalog

35. 3535
4 USE CASES FOR DATA GOVERNANCE
Reach a wider audience
Enforce control
Crowdsource knowledge
IT Modernization & Change Mgmt
Governed Analytics
Change analysis & migrations
Establish a single point of Mgmt
Data Auditing
Data Compliance & Privacy
GDPR, PDPA, CCPA,.
BCBS 239, IFRS, IDMP…
ACORD, CDISC…
The Data Marketplace
Self-Service Analytics
Customer 360
Data Monetization

36. 3636
70% Faster,
80% Cheaper
100% compliant
Accelerated time
for analytics by up
to 70%
Cost of integrating
data reduced by
80%
Up to 30%
additional revenue
in Trading &
Generation
PROVIDING SUSTAINABLE ENERGY
WITH A DIGITAL PLATFORM

37. 3737
YOUR SPEEDWAY
TO TRUSTED DATA
OUR DEFINITIVE
GUIDE
https://info.talend.com/definitiveguidedatagovernance.html

38. Questions?