This document summarizes a webinar on data virtualization and Denodo's data catalog. The webinar covers the challenges of self-service data strategies, how a data catalog can help address these challenges by providing a single source of truth and improving discoverability, collaboration and understanding of data. It also provides best practices for data catalog implementation and customer stories of how Indiana University has used Denodo's data catalog for decision support.

1. DATA VIRTUALIZATION PACKED LUNCH
WEBINAR SERIES
Sessions Covering Key Data Integration Challenges
Solved with Data Virtualization

2. Denodo’s Data Catalog: Bridging the Gap between
Data and Business
Pablo Alvarez-Yanez
Director of Product Management, Denodo

3. Agenda
1. The challenging idea of self-service
2. The role of Denodo’s Data Catalog
3. Best Practices
4. Customer Story

4. 4
The Requirements of a Modern Data Strategy
1. Generates better business insights
• Embrace predictive and prescriptive analytics
• Use all data assets available
2. Is more agile
 Reduce Time to Market (TTM) and Time to Data (TTD)
3. Reduces the cost
• Reduce HW and operational cost of data management (e.g. cloud)
• Pivot to less costly data management techniques when possible
4. Is secure and well governed
• Prevents data leaks and complies with existing regulations

5. 5
Where does self-service fit?
Self-Service strategies try to reduce IT requests by bringing more power to end users
It aligns well with modern data strategies:
1. Generates better business insights
• End users are often subject matter experts and can add field knowledge missing in IT departments
2. Is more agile
 Reduces IT bottlenecks
 Uses quick iterations on requirements until final results are identified
3. Reduces the cost
• May need additional software at extra cost
• May produce better insights with less resources
4. Is secure and well governed

6. 6
What can go Wrong?
The inherent lack of supervision in a self-service effort can backfire if not design properly. For
example:
 Abuse of data prep leads to increase of shadow IT and uncontrolled copied of data in Excel files
 End user frustration dealing with complexity of ecosystem (data access protocols, credentials
performance, etc.)
 Multiple versions of truth: stale copies, multiple copies of the same data with minor variations,
unregulated use of non-certified sources
 Data leaks and loss of compliance with data protection regulations
 Cost-explosion to maintain datasets, reports and dashboards with no actual use
 Increased used of IT resources to solve issues created by self-service initiatives that were trying to avoid
using IT resources
 Etc.

7. 7
Can Denodo help?
The unique combination of a virtual layer with a data create
a powerful combo to empower end users in self-service
initiatives, while keeping an eye in security and governance
 Surfaces all company data in a single system
 Reduces complexity to navigate ecosystem, protocols,
credentials, etc.
 Offers innovative query acceleration techniques adapted to
the nature of self-service
 Provides a single source of truth
 Reduces problems with stale data, unnecessary replication
 Controls security across platforms
 Improves reusability, documentation and governance

8. What’s the role of Denodo’s Data
Catalog in these type of initiatives?

9. 9
Improves Discoverability of Data
Personalized recommendations
and shortcuts to most
used datasets.
Summary of catalog and
my queries
It’s possible to customize
logos, colors, fonts and
other elements

10. 10
Fosters Collaboration
Collaborative Features:
• Endorsements
• Deprecation Notices
• Warning Messages
• Tags and Categories

11. 11
Data Preview & “My queries”

12. 12
Understand where data is coming from
Detailed and easy to read
information on data lineage
and transformations

13. 13
Data Profiling

14. 14
How are others using this data?

15. 15
Power users: looking for more?

16. Best Practices
How to succeed with your Data Catalog
implementation

17. Provide wide coverage
to all company data
• Connect all corporate
sources
• Allow LOB to connect their
own datasets

18. Encourage (or enforce)
documentation in all
developments
• Descriptions, Tags and
Custom fields
• Clarify responsibilities: who
is in charge of what

19. Enforce security and use
it to guide data discovery
• Use execute and metadata
privileges wisely
• Use role security and LOB
views to simplify data access

20. Offer feedback loops that
work with your audience
• Use “My queries” deploy
options for non-technical
users
• Provide access to Design
Studio for power users

21. Capture tribal knowledge
• Use warnings and
endorsements
• Leverage integrated usage
stats when possible

22. Customer Stories

23. 23
Indiana University: Decision Support

24. 24
Indiana University: Decision Support
https://www.denodo.com/en/webinar/data-innovation-award-indiana-university

26. 26
Next Steps
Access Denodo Platform in the Cloud!
Take a Test Drive today!
www.denodo.com/TestDrive
G E T S TA R T E D TO DAY

27. Thanks!
www.denodo.com info@denodo.com
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