Watch full webinar here: https://buff.ly/2NM5Jtf An eclectic mix of old and new data drives every decision and every interaction, but too many organisations are attempting unsuccessfully to consolidate this data into a single repository which is time-consuming, resource-intensive, expensive, and risky. Join this Denodo and HCL Webinar to discover how data virtualization provides an effective modern day architecture and an alternative to data consolidation and the challenges of fragmented data ecosystems and traditional integration approaches. We will share stories and provide multiple perspectives on best practices and solutions. Content will include: - Business use cases that highlight challenges and solutions that result in faster time-to-market and greater ROI. - Suggested approaches to achieve extreme agility for competitive advantage.

1. Consumption based
analytics enabled by
Data Virtualization
Presented by HCL and Denodo

2. Agenda
Consumption based analytics enabled by Data Virtualization
Kannan Mahendramani, Senior Solution Architect, HCL
Denodo the Leader in Data Virtualization
Alex Hoehl, Senior Director Partner Channel Sales & Business
Development APAC, Denodo

3. Copyright © 2018 HCL Technologies Limited | www.hcltech.comCopyright © 2018 HCL Technologies Limited | www.hcltech.com
Scaled Digital Partner for 21st Century Enterprises
Consumption Based Analytics enabled by Data Virtualization

4. HCL Technologies DNA copyright and confidential

5. HCL Technologies DNA copyright and confidential

6. HCL Technologies DNA copyright and confidential
Consumption Based Analytics Architecture – Key Tenets

7. HCL Technologies DNA copyright and confidential
Consumption Based Analytics Architecture

8. HCL Technologies DNA copyright and confidential

14. $8.5 BILLION ENTERPRISE | 120,000+ IDEAPRENEURS | 44 COUNTRIES

15. Denodo
the Leader in Data
Virtualization
“Modern, Agile Data and Analytics “
Alex Hoehl
November 2019

16. 16
Six Essential Capabilities of Data Virtualization
1. IT Abstraction – Business Semantic Layer
2. Zero replication, zero relocation
3. Real-time information
4. Self-service data services
5. Centralized metadata, security
& governance
6. Cloud-Hybrid Accelerator

17. 17
Data Services
 Data Services
 DS for Digital Apps
 DS for SCV/MDM Apps
 Application Migration
Cloud Solutions
 Cloud BI Analytics
 DS for Cloud Apps
 Cloud Modernization
 Hybrid Data Fabric
Agile BI
 Real-Time Dashboards
 Self-Service BI / Analytics
 Operational Reporting
 Virtual Data Marts
Logical DW / DL
 Logical Data Warehouse
 Logical Data Lake
 DWH Offloading
 Big Data / Adv Analytics
Denodo ‘Solution’ Categories – Top 4
Data Virtualization

18. 18
Data’s Time-to-Value Decay
Source: Dr. Richard Hackathorn, The BI Watch: Real-Time to Real-Value, 2002
• Value of data decays with time
• The longer each step takes reduces
the value of the data
• Minimizing latency accelerates time-
to-value for the data
• Quicker and more timely decisions

19. 19
Architectural Diagrams
Seacoast

20. 20
Action
Taken
Data’s Time to Value Benefits – Seacoast Bank
Value
0%25%50%75%100%
Capture
Latency
Decision Latency
Analysis Latency
Information
Delivered
Data Ready
for Analysis
Time (h)
0 20 40 60 80
Event
Original Value of
Data

21. 21
Action
Taken
Data Ready
for Analysis
Information
Delivered
Data’s Time to Value Benefits – Seacoast Bank
Value
0%25%50%75%100%
Capture
Latency
Decision Latency
Analysis Latency
Event
Time (h)
0 20 40 60 80
Time (h)
0 2 4 6 8
97% Time Savings
x% Data Value
Increase
Original Value of
Data
Adding Denodo DV

22. Business Need Solution Benefits
22
Case Study Regional Community Bank Improves Business
Process Efficiency Using the Logical Data
Warehouse
This regional bank is headquartered in Florida and is one of the largest community banks with approximately
$4 billion in assets and $3.2 billion in deposits. The bank provides integrated financial services, including
commercial and retail banking, wealth management, and mortgage services to customers through advanced
banking solutions.
▪ Denodo used as the enterprise-wide logical
data warehouse for analytical and
operational purposes
▪ Denodo aggregates data across cloud and on-
premise sources – IBM Unica, FIS, …
▪ Denodo feeds data to Tableau, SAS portals,
mobile devices, etc.
▪ Improved efficiency through self-service for
business users in loans, deposits, fraud,
credit, and risk departments
▪ Reporting turnaround time improved from
2-3 days to 2 hours (-97%)
▪ Business operations such as loan processing
is handled in real-time
▪ Accelerate business operations in loans,
deposits, and other departments through
use of self-service reports and dashboards
▪ Establish a central information delivery
platform to easily add new data sources
from acquired companies
▪ Prior cloud-based data warehouse was
inflexible to accommodate new data sources

23. Business Need Solution Benefits
23
Case Study Leading Construction Manufacturer Improves
Service Delivery and Revenue
In business for over 90 years and is the world’s leading manufacturer of construction and mining equipment,
diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives with 2014 net revenue
of $54.6 billion.
▪ Telemetry data from sensors embedded in
the equipment is stored in Hadoop to
perform predictive analytics
▪ Denodo integrates analytics data with parts,
maintenance, and dealer information stored
in traditional systems
▪ It then feeds the predictive maintenance
information to a customer dashboard
▪ Phased rollout systematically improved
asset performance and proactive
maintenance
▪ Increased revenue from sale of services and
parts
▪ Reduced warranty costs of parts failure
▪ Future – optimize pricing for services and
parts among global service providers
▪ Competitive pressure from low-cost Chinese
manufacturers
▪ Needed a proactive approach to customer
service to differentiate
▪ Sought to improve equipment and services
delivery through predictive maintenance

24. 24
Data Virtualization for IoT, Predictive Analytics, Real-time
Dashboards
Benefits
 Predictive Maintenance Service for
large customers and dealers
 Differentiator against low-cost
competitors
 Increase services and parts sales –
higher margins
 Future – optimize parts and services
pricing
Dealer
Maintenance
Contracts
Parts Inventory
OSI PI Hadoop Cluster
Tableau: Dealer / Customer Dashboard
IoT - Big Data Operational Data

25. 25
Architectural Diagrams
Data Migration to Cloud - Asurion

26. 26
Architectural Diagrams
Data Migration to Cloud - Asurion

27. 27
Architectural Diagrams
Data Migration to Cloud - Asurion

28. Business Need Solution Benefits
Consumer electronics insurance company achieves cloud
modernization while securing customer data
Case Study
Asurion is a consumer electronics insurance and warranty provider that serves more than 290
million consumers globally across 18 countries. With it’s global 16,000 employees Asurion generates
around $6B in annual revenue. Asurion added Premium Support Services, innovation in digital
device and digital home management; that required data science and predictive analytics to offer
better customer satisfaction
• Asurion wanted to move to the cloud so that
they can quickly spin up new products and new
data intelligence
• As Asurion expanded geographically they had to
adhere to region specific data rules and data
constraints.
• Asurion needed to manage and secure PII
information for their worldwide customers and
also support role based access control and
active directory in their data architecture
• Denodo resides both onsite and in the cloud to
integrate disparate data sources such as spark,
Hadoop, active directory etc.
• Denodo builds a single engine for data security
across cloud and on-premise, across
geographies
• Denodo helps build fast web services with Layer
7 APIs and helps publish data services through
consuming applications such as Layer 7 and
Spotfire
• Time-to-value – Denodo eliminates weeks of
new data services development using API and
cuts down 2/3 of the cycle time
• Single point of control - Consistent data
security and data governance functions that
applies to the entire enterprise data
• Ease of use – Any new source of data can be
instantaneously integrated to Asurion cloud or
on premise data environment
28

29. Customer Benefits
How DV contributes to Customers’ Success

30. 30
Source: Gartner 2018 Data Virtualization Market Guide
By 2020, organizations utilizing data virtualization as a data
delivery style will spend 45% less than those who do not
on building and managing data integration processes for
connecting distributed data assets.
Through 2022, 60% of all organizations will implement
data virtualization as one key delivery style in their data
integration architecture.

31. 31
ROI and TCO of Data Virtualization
Customer-reported projected savings by percentage
Data Integration Cost reduction
• 60-70% savings
Traditional Call Centres, Portals
• 30-70% savings
BI and Reporting
• 40-60% savings
ETL and Data Warehousing
• Project timelines of 6-12 months reduced to 3-6 months
• 85% time reduction

32. 32
Complete enterprise information, combining Web, cloud,
streaming, structured & unstructured data
Faster time to Value - ROI realization within 6 months,
with the flexibility to adjust to unforeseen changes
Lower TCO - 80% reduction in integration costs, in terms
of resources and technology
Real-time integration and data access, enabling faster
business decisions
Self-Service, Security and Governance in one integrated
platform
The Benefits of Data Virtualization
“Get it Real-time and Get it Fast!”
Single Platform for Agile Data Access, Self-service, Security Compliance and
Governance

34. 34
Next Steps
Access Denodo Platform in the Cloud!
Take a Test Drive today!
https://bit.ly/2AouQLQ
GET STARTED TODAY

35. AgendaPlease contact us to discuss your Data Virtualization needs.
Sameera Nyapathi
Digital and Analytics Practice, HCL
Sameera.n@hcl.com
Paul Guthrie
Digital and Analytics Practice, HCL
paul.guthrie@hcl.com
Thanks