Denodo's presentation from Singapore OpenGov Leadership Forum 2018.

1. Becky Smith, Product Marketing
May, 2018
Reinvent Your Data
Management Strategy for
Successful Digital
Transformation

2. 2
IT and Business Teams Going in Different Directions
BI Benchmark Report
High Cost – IT spends ~1% of Revenue on ETL
& Storage
▪ 75% of data stored is not used–large $ wasted
▪ 90% of all queries are for current data–not
available from traditional EDW or data lakes
Long Time – Months to Build ETL Process
& DataMarts
▪ 2+ Months to add new data source to an EDW
▪ 1–2 Months to build complex dashboard or
report
IT Slowing Down
By2020
▪ 500% growth in Data &
Device Avalanche
▪ Due to lack of data
accessibility today
< 0.5% of all data is
ever analyzed and used
Source:
Business Speeding Up
To remain competitive,
by 2020, Business
Decision Speed &
Analysis Sophistication
Requires 300% Increase
Source:

3. 3
IT Architecture is Unmanageable & Brittle
IT–Business Dilemma
IT Focuses on
Data Collection
& Storage
Business
Focuses on Data
Visualization &
Analysis
No One Focused on Data Delivery
– So create 100’s to 1K’s of brittle direct connections and
replicate large volumes of data
Inventory System
(MS SQL Server)
Product Catalog
(Web Service -SOAP)
BI / Reporting
JDBC, ODBC,
ADO .NET
Web / Mobile
WS – REST JSON,
XML, HTML, RSS
MS Excel
Denodo Excel
Add-in
Log files
(.txt/.log files)
CRM
(MySQL)
Billing System
(Web Service - Rest)
Big Data, Cloud
(Hadoop, Web)
Product Data
(CSV)
E
T
L
Portals
JSR168 / 286,
Ms Web Parts
SOA, Middleware,
Enterprise Apps
WS – SOAP
Java API
Customer Voice
(Internet, Unstruc)

4. 4
Solution to IT/Business divergence:
IT Slowing Down
By2020
▪ 500% growth in Data &
Device Avalanche
▪ Due to lack of data
accessibility today
< 0.5% of all data is
ever analyzed and used
Source:
Business Speeding Up
To remain competitive,
by 2020, Business
Decision Speed &
Analysis Sophistication
Requires 300% Increase
Source:
Data Virtualization:
The only agile data delivery platform
that enables:
IT and Business to move at different speeds
so
IT can store data in the most efficient way without
affecting the business
and
Business can use the best tool to make decisions without
affecting IT
Add new data sources and consumers without limitations
FedEx for Data

5. 5
Consume
in business
applications
Combine
related data
into views
2
3 DATA CONSUMERS
Enterprise Applications, Reporting, BI, Portals, ESB, Mobile, Web, Users, IoT/Streaming Data
Connect
to disparate
data sources
1 DISPARATE DATA SOURCES
Databases & Warehouses, Cloud/Saas Applications, Big Data, NoSQL, Web, XML, Excel, PDF, Word...
Less StructuredMore Structured
Multiple protocols,
formats
Linked data services
query, search, browse
Request/Reply,
event driven
Secure
delivery
Library of
wrappers
Web
automation
Any data
or content
Read
& Write
DATA VIRTUALIZATION
DATA CONSUMERSAnalytical Operational
CONNECT COMBINE CONSUME
Share, Deliver,
Publish, Govern,
Collaborate
Discover,
Transform,
Prepare, Improve
Quality, Integrate
Normalized
views of
disparate data
Agile Development
Performance
Resource Management
Lifecycle Management Data Services
Data Catalog
Governance & Metadata
Security & Data Privacy

6. 6
Complete enterprise information,
combining Web, cloud, streaming,
and structured data
ROI realization within 6 months,
with the flexibility to adjust to
unforeseen changes
80% reduction in integration costs,
in terms of resources and
technology
Real-time integration and data
access, enabling faster business
decisions
“Get it Real-time and Get it Fast!”
The Benefits of Data Virtualization
• New sources configured in minutes,
and fully integrated within days
• 100’s of application entities can be
integrated within weeks.
• Add new business functionality
within days
• Enhance existing functionality with
new data within days.
• Significantly reduce data proliferation
• Common, consistent and timely
access to all data via preferred BI,
analytics and visualization tools.

7. Business Need Solution Benefits
Indiana University Improves Strategic Decision Making
Across The Organization
Case Study
Indiana University is a multi-campus public university system in the state of Indiana that has a combined
student body of more than 110,000 students. They had recently begun a Decision Support Initiative, to
close the gaps between the abundance of available data and the people whose decisions will help Indiana
University achieve its goals.
▪ Wanted to be inventive about analyzing
data elements such as student credit hour
trends and staffing behavior.
▪ Business logic in multiple silos, making it
difficult to combine relevant data sets to
present meaningful information to
stakeholders.
▪ The longer cycle time for information
access, combined with the lack of a robust
data security solution, created the need
for a centralized business layer.
▪ Logical Data Warehouse (LDW) using
Denodo Platform for data integration,
delivery, presentation and information
governance
▪ Denodo Platform serves as a central
repository for metadata, security, and
business logic
▪ Access to non-traditional applications,
including sourcing data from the cloud
which must be accessed via API
▪ Enables all University schools to gauge
and assess fiscal trends and academic
unit health, facilitating improved
decision-making.
▪ Helps Human Resources identify trends
in employee metrics and behavior in
support of strategic staffing initiatives.
▪ Simplifies complex system data into
useful, self-service decision-support
tools
7

8. Business Need Solution Benefits
U.S. Dept. of Housing and Urban Development (HUD)
prevents fraud with data virtualization
Case Study
HUD, a cabinet department of the United States federal government, was established to increase access
to affordable housing, strengthen communities through economic development, and tackle homelessness
issues. The OIG is a statutorily created independent entity whose mission is to detect and deter fraud,
waste, and abuse and promote the economy, efficiency and effectiveness of HUD operations.
▪ Petabytes of data used for fraud analysis
and audit. ETL is too expensive and too
slow for business users to get current
information
▪ Required a unified view from multiple
systems along with industry trends, for
proactive fraud prevention
▪ Needed to deliver standardized, timely
and comprehensive information to data
consumers
▪ Dendo Platform combines data about
people, banks, real estate and loan
companies and creates a fraud score based
on data anomaly severity and frequency
▪ Denodo Platform helps publish RESTful
views of fraud scores for auditors who can
drill down based on severity of the fraud
▪ Denodo also feeds unified data into
predictive analytics systems that can
correlate the data with industry trends for
better fraud detection
▪ Speed to market – Business stakeholders
can make timely decisions with real-time
information.
▪ TCO reduction –30 to 40 people to
develop the integration platform has
reduced to only 1 to 2 people
▪ Fraud prevention – For any possible
fraudulent activity, auditors or business
users can easily perform a drilled down
analysis and take corrective measures.
Company Confidential – Do not forward or distribute
8

9. 9
Denodo
The Leader in Data Virtualization
DENODO OFFICES, CUSTOMERS, PARTNERS
Palo Alto, CA.
Global presence throughout North America,
EMEA, APAC, and Latin America
DENODO SINGAPORE
Marina Bay Financial Centre Tower 3
12 Marina Boulevard #17-01
Singapore 018982
(+65) 68095109
LEADERSHIP
▪ Longest continuous focus on data
virtualization – since 1999
▪ Leader in 2017 Forrester Wave –
Enterprise Data Virtualization
▪ Winner of numerous awards
CUSTOMERS
~500 customers, including many F500 and
G2000 companies across every major industry
have gained significant business agility and ROI.
FINANCIALS
Backed by $4B+ private equity firm.
50+% annual growth; Profitable.
Public Sector Customers Include: