Retailers face a series of challenges every day, including volatile economic conditions, rapidly advancing technology and keeping pace with increasingly connected and demanding consumers. In an age in which loyalty often has been severely damaged and consumers expect more from their shopping experiences, two technology trends have emerged to help retailers increase value and revenues, and most importantly, create more relevant interactions. Big Data, coupled with predictive and location analytics, can enable retailers to deliver the right products and prices to consumers at the right place and time.

1. Know
Where,
Why,
What:
Big
Data
and
the
Role
of
Predic9ve
and
Loca9on
Analy9cs
Webinar
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by
#LocAnaly*cs

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4. About
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TouchPoints
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5. Panelists
ShiSh Shridhar
Global Director, Business
Intelligence Solutions
Microsoft
Simon Thompson
Director Commercial Solutions
Esri
MODERATOR
#LocAnaly*cs
Debbie Hauss
Editor-in-Chief
Retail TouchPoints

6. KNOW WHERE,
WHY, WHAT
BIG DATA AND THE ROLE OF
PREDICTIVE AND LOCATION
ANALYTICS
ShiSh Shridhar, Microsoft
Simon Thompson, Esri

7. Retail has a multitude of
devices that generate
petabytes of potential
insights
Monitoring and Mining
Social Media Data
enables Retailers to
enhance customer insights
The Retail Big Data Ecosystem
Open Data Sources and
Internal Sources enables
Retailers to better
understand customers

8. 50b 5
connected
devices
gadgets
per person
2020: The Internet of All Things

9. Connected Consumer; Collecting Insight

10. Cisco
Connected Consumer; Collecting Insight

11. Big data is driving us to a tipping point
Real-time
data creation
Multiple
data types
Large data
volumes
User
expectations
Hardware
and storage
economics
Mobility

12. Action
Knowledge
Context
Decision
Gain Insight then Act On It
Know By Trying
Leverage Understanding
Democratize Decision Making
Turn Data into Outcomes

13. Visualize
Compare
Attain
Challenge
Seeing is Understanding
Measure and Evaluate
Set and Reward Goals
Question and Query
Turn Data into Outcomes

14. 80 39
% purchase
within 10 miles of
home or work
Place Matters
% will visit
somewhere
unfamiliar

15. big data
collections
merchandise
demographic
behaviors
spreadsheets
people
analytics
social
media
customer
records
mobile
devices
footfall
Making Sense of Place
traffic
point of
sale

16. Put a Face to Your Customers
So you can connect with them better

17. Changing Influences and Expectations
Social
Media
Impact
Local
Promotion
Demand
Making the Unfamiliar, Normal and Usual

18. Place Impressions - Driving Sales

19. Enrich Your View
+
Your Data
+
Esri Data

20. Weather
Crime
Market Segmentation
Growth Trends
Real Time Traffic
Demographics
Media Habits
Consumer Spending
Landscape Info
Sentiment
Supply & Demand
Occupation
Labor Force
Market Potential
Competition
Income

21. Sentiment Analysis
Social Media Insights
Location Based Coupons
Indoor Mapping
Place Impressions – Understanding Behaviors

22. Brand Analysis
Fraud and Loss
Prevention
Compliance
Price Optimization
Social Media Analytics
Risk Analysis
Operations
IT Integration
Business Continuity
Workforce
Management
Advertising
Sales
Apply Location and Big Data Insight
Marketing
Inventory
Management

23. Harness the power of a complete data
platform
Take action and operationalize
Relational
Collaboration
Non-relational
Scalable physical and
virtual compute
Virtualized
storage
Corporate apps
Analytical
Streaming
Virtualized
networking
Windows Server
Scale user-driven BI
Action over data
in real time
§
Self-service
Windows Azure
Quality and accuracy
§
SQL Server
§
§
Office
Security,
governance,
and compliance
§
Cloud and
on-premises
Data Search
ü
Internal & External
SAN like intelligence
built into OS

24. Objectives
Tactics
Results
• Respond quickly to changing customer
needs
• Increase sales
• Attract new customers
• Lower costs, improve margins
Implemented a comprehensive
data warehouse solution for
real-time visibility, fast
performance and scalability
•
•
•
•
Deeper customer view
Quicker response to trends
Faster delivery of critical business data
Positioned to meet growing data needs
“In this marketplace, we really need to understand our customers and how they’re
changing. Because we can react to their changes faster, we’ll be more
competitive.”
Tom Settle, Assistant Vice President, Data Warehousing, Hy-Vee
Anticipate and Act
Responding quickly to buying habits for
competitive edge

25. It’s not the strongest
of the species that
survives, nor the most
intelligent, but the
ones most responsive
to change.
Charles Darwin

26. www.esri.com/retail
THANK
YOU
Shish.Shridhar@microsoft.com
sthompson@esri.com

27. Q
&
A
//
Panelists
ShiSh Shridhar
Global Director, Business
Intelligence Solutions
Microsoft
Simon Thompson
Director Commercial Solutions
Esri
MODERATOR
#LocAnaly*cs
Debbie Hauss
Editor-in-Chief
Retail TouchPoints

28. Thanks
for
a6ending!
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and
view
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presenta*on
at:
h6p://rtou.ch/bdanaly9cs
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