Presentation by Avinash Deshpande, Logitech

1. Data
Virtualization
at Logitech
= #Winning
Avinash Deshpande

2. Logitech Data Use Cases
Structured Semi-Structured Unstructured
BatchDataVelocityReal-Time
Social Media
Sentiment
Predictive Analytics
Demand Forecasting
Price violations on
Retail sites
Data Warehousing Text Mining
Security Video
Analysis
Retail Data
scrapping
Machine Learning
ioT
Multi site ERP
Marketing Funnel
Sales Channel Mgmt
Smart Home
Natural Language
Processing (NLP) VR Gaming
Device Events

3. Governed
Secured
Data Layer
Single
Semantic
Repository
Abstract
Access to
Disparate
Data
Sources
Optimized
Data
Availability in
Real-time to
Consumers
Why Virtualize?

4. eDW Solution Architecture
Data Producer Data Consumer Business Layer Reporting / Advanced Analytics Layer
eBS -Exadata
Reports
Edge Compute
iOT

5. Showcase

6. Business Process Orchestration
Although Logitech has a enabled data warehouse in Snowflake, some business verticals work
with SaaS services to run the business. Instead of extracting all that data for analysis and add
latency and extra processing, We virtualize that data through Denodo and provision process
flow

7. Consumer Master
Consumer
360
Central place to show all orders for
consumer
Orders
Consolidate consumer data for all BGs
Business Verticals
Create a centralized email preference
Center for Consumer ~ Logitech
relationship
Email Preferences
Central repository to enable cross-sell
Up-sell
Equipment
All tickets for consumer
Support Tickets
Generate APIs to provision data
APIs

8. Humanizing Data Insights
Natural Language Processing enabled
business users to post a question to a
chatbot and receive an answer with data
insights that are completely humanized
“What are the Q3 sales trends for
Product A in North America?
“The total Q3 sales for Product A in
North America totaled $200.4 M, a 15%
increase from Q3 last year, but only a
5% increase from last quarter.”

9. ANUVAAD
Provides you quick answers to
your supply chain queries
using Non-Technical Fuzzy
Types of Anuvaad
➢ Pure Statistics
Sell in forecast
➢ Time Over Time Ratios
Sales year over year
➢ Mix Ratios
Sales ratio

10. Impact

11. Business Impact
40%- 70% Performance Improvement
30% Cost Reduction
New Revenue Streams
Operational and Advanced Insights
Self Service
Certified Data Models

12. Technical Impact
Faster Time to Deliver
Reduced Total Cost of Ownership
Reduced Dependency on IT
Secured, Governed and Certified Data
Sources

13. Feedback
“Denodo’s Data Virtualization Platform
enabled us to build reusable data
services in a matter of hours instead of
weeks/months, thereby making IT
response faster and reducing costs.”
“Data platform has
enabled new
opportunities that were
hard to get to”
“Amazing … Game
Changer”

14. eBS -Exadata

15. Data Done Right!