The document discusses a webinar by Denodo focusing on empowering enterprises through a self-service data marketplace, which addresses data challenges faced by users and promotes easier access to trusted data. It covers the fundamentals of a data marketplace, customer case studies, and emphasizes the importance of data virtualization in enhancing data discovery and collaboration. Key takeaways include the increasing complexity of information architectures and the necessity for effective data management solutions in organizations.

1. APAC WEBINARS
Empowering your Enterprise
with a Self-Service Data
Marketplace

2. Speakers
Paul Moxon
SVP Data Architecture & Chief Evangelist
Denodo
Director, APAC Sales Engineering
Denodo
Chris Day

3. Agenda
1. The Data Challenges Facing Users
2. How a Data Marketplace Can Help
3. What is a Data Marketplace?
4. Denodo Data Catalog Demo
5. Customer Case Study
6. Q&A
7. Next Steps

4. 4
Streaming
Analytics
Typical Analytical Ecosystem
Product Customer
Asset
Data Warehouse
Data Warehouse
Appliance
Master Data
Management
Real-time analytics
and decision
management
Data exploration
and investigation
Data mining, machine learning and
Deep Learning model development
Graph analysis
Traditional reporting
and analysis
Data mining and
model development
Advanced Analytics (Multi-Structured Data)

5. 5
…Leading to Data Silos
Streaming
Analytics Data Warehouse
Data Warehouse
Appliance
Product Customer
Asset
Master Data
Management
Advanced
Analytics
Graph Database
Advanced
Analytics
Analytical
Tools/Apps
Analytical
Tools/Apps
Analytical
Tools/Apps
Analytical
Tools/Apps
Analytical
Tools/Apps
Analytical
Tools/Apps
Analytical Models
Tools/Apps
Data Integration
Tools and Scripts
Data Integration
Tools and Scripts
Data Integration
Tools and Scripts
Data Integration
Tools and Scripts
Data Integration
Tools and Scripts
Data Integration
Tools and Scripts
Silo Silo Silo Silo Silo Silo Silo
Streaming Data Structured and
Multi-Structured
Data
Multi-Structured
Data
Multi-Structured
Data
CRM
ERP
SCM CRM
ERP
SCM CRM
ERP
SCM
Structured Data Structured Data Master Data
Management

6. 6
Where Is My Data?
Web Content
Big Data Application
Graph Database
Relational
Databases
Cloud Storage
(S3, ADLS, GCS)
JSON/XML Files
SaaS Applications
Flat Files
Data Warehouse
Excel Spreadsheets
?

7. 7
The Promise of Self-Service Tools
§ Let business users access the data that they
need and stop IT being a bottleneck
§ That’s the vision as sold by many BI tool and
Data Prep vendors
§ i.e. give me the tools and access to the
data and stand back J

8. 8
Challenges of Self-Service Initiatives
§ Too many reports
§ Duplicate reports
§ Conflicting data
§ Users don’t trust reports
§ Data extract hell
NO STANDARDS OR GOVERNANCE
A TOWER OF BABEL

9. 9
Building a Data Marketplace
Cloud Storage
(S3, ADLS, GCS)
SaaS Applications
Big Data Application
Relational
Databases
JSON/XML Files
Flat Files
Data Warehouse
Excel Spreadsheets
Graph Database
Data Virtualization
Data Catalog

10. 10
Source: Mike Ferguson, Intelligent Business Strategies
A Data Marketplace contains ready-made, trusted, data and analytical
assets, available as services with common data names documented in a
business glossary, full metadata lineage, and that are tagged and organized
to make them easy to find, access, share, and reuse across the enterprise.

11. 11
Data Marketplace Assets
Data Assets Virtual Data Assets SQL Queries Reports
Recommendations KPIs Data Services Dashboards

12. 12
Questions Answered by Data Marketplace
Can I find the data I need?
Is the data trusted?
Is the data sensitive?
Does it have business value?
What do others think about the data?
Is there any related data I should know about?
How frequently is it used?
Who owns the data?
Search, faceted search, browse
Lineage, trust rating or tag
Controlled access to sensitive fields
Reviews or ratings
User comments and feedback
Data asset relationships
Usage metrics
Data owner information
………………………………….
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13. 13
Empowering Your Enterprise with a
Self-Service Data Marketplace
DATA C ATA LOG D EM O

14. 14
Scenario
Data Catalog Demo
BigCo

15. Demo

16. 16
Data Catalog Demo
Summary
§ The shop front for consumers on the data
delivery layer
§ Discover curated and relevant data sets
easily, promoting self-service and reuse of
the data
§ Facilities quick but governed access to the
data needed, reducing dependency on IT

17. Customer Case Study

18. 18
Leading Global Bank – Pain Points
Supporting
Multiple Data
Access Tools
Changing
Technologies
Data Lifecycle
Management
Data
Discovery

19. 19
Leading Global Bank – Data Marketplace Objectives
DATA DISCOVERY
SECURITY
CONSISTENT
ACCESS INTERFACE
REDUCE BARRIERS TO ADOPTION
DATA ACCESS
AGILITY
02
03
04
05
06
01

20. 20
Leading Global Bank – Data Marketplace
Data Virtualization Platform
Data Marketplace
Client & Account
Active Clients Client
Accounts
Party Summary
Positions & Holdings Securities & Pricing Market Data Hub Index & Benchmark
Systems of Record Data Lake Data Warehouse
with Business Semantic Layer
Virtual Data Lake

21. 21
Leading Global Bank – Data Marketplace
DENODO DATA CATALOG
→ Categorization
→ Tagging
→ Models
→ Descriptions
→ Data Lineage
→ Metadata Search
→ Query Builder

22. Key Takeaways

23. 1. Information architectures are getting more complex,
more diverse, and more distributed.
2. Finding the right data is a serious challenge for users.
3. Data virtualization is a fundamental technology for an
Enterprise Data Marketplace
4. …making it easier for users to search, browse and find
the data that they need
5. And also providing a rich environment for users to
collaborate and enrich the data – enhancing the
organizations understanding of the data and
maximizing the value of the data.
Key Takeaways

24. Next Steps

25. 25
denodo.link/drive2106

26. 26
D E N O D O V I R T U A L L U N C H & L E A R N A S E A N :
Secure Your Data with
Virtual Data Fabric
27 July, Tuesday
1.00pm - 2.00pm SGT
REGISTER YOUR INTEREST
denodo.link/DLL07
Elaine Chan
Regional Vice President,
Sales, ASEAN & Korea
Chris Day
Director,
APAC Sales Engineering

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