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Know	
  Where,	
  Why,	
  What:	
  	
  
Big	
  Data	
  and	
  the	
  Role	
  of	
  
Predic9ve	
  and	
  Loca9on	
  
Analy9cs	
  
Webinar	
  Sponsored	
  by	
  

#LocAnaly*cs	
  
Welcome	
  Webinar	
  A6endees	
  

#LocAnaly*cs	
  
Follow	
  This	
  Webinar	
  On	
  Twi6er	
  

#LocAnalytics
#LocAnaly*cs	
  
About	
  Retail	
  TouchPoints	
  
ü  Launched in 2007
ü  Over 26,000 subscribers
ü  To provide executives with relevant,
insightful content across a variety of
digital medium

Free subscription to our weekly newsletter:
WWW.RETAILTOUCHPOINTS.COM/SIGNUP

#LocAnaly*cs	
  
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
KNOW WHERE,
WHY, WHAT
BIG DATA AND THE ROLE OF
PREDICTIVE AND LOCATION
ANALYTICS
ShiSh Shridhar, Microsoft
Simon Thompson, Esri
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
50b 5
connected
devices

gadgets
per person

2020: The Internet of All Things
Connected Consumer; Collecting Insight
Cisco

Connected Consumer; Collecting Insight
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
Action
Knowledge
Context
Decision

Gain Insight then Act On It
Know By Trying
Leverage Understanding
Democratize Decision Making

Turn Data into Outcomes
Visualize
Compare
Attain
Challenge

Seeing is Understanding
Measure and Evaluate
Set and Reward Goals
Question and Query

Turn Data into Outcomes
80 39

% purchase
within 10 miles of
home or work
Place Matters

% will visit
somewhere
unfamiliar
big data
collections

merchandise
demographic
behaviors
spreadsheets
people

analytics
social
media

customer
records

mobile
devices
footfall

Making Sense of Place

traffic

point of
sale
Put a Face to Your Customers

So you can connect with them better
Changing Influences and Expectations

Social
Media
Impact

Local
Promotion
Demand

Making the Unfamiliar, Normal and Usual
Place Impressions - Driving Sales
Enrich Your View

+

Your Data

+

Esri Data
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
Sentiment Analysis

Social Media Insights

Location Based Coupons

Indoor Mapping

Place Impressions – Understanding Behaviors
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
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
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
It’s not the strongest
of the species that
survives, nor the most
intelligent, but the
ones most responsive
to change.
Charles Darwin
www.esri.com/retail

THANK
YOU
Shish.Shridhar@microsoft.com
sthompson@esri.com
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
Thanks	
  for	
  a6ending!	
  

Download	
  and	
  view	
  	
  
this	
  presenta*on	
  at:	
  
	
  

h6p://rtou.ch/bdanaly9cs	
  
	
  

#LocAnaly*cs	
  

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Webinar: Know Where, Why, What: Big Data’s Role In Predictive And Location Analytics

  • 1. Know  Where,  Why,  What:     Big  Data  and  the  Role  of   Predic9ve  and  Loca9on   Analy9cs   Webinar  Sponsored  by   #LocAnaly*cs  
  • 2. Welcome  Webinar  A6endees   #LocAnaly*cs  
  • 3. Follow  This  Webinar  On  Twi6er   #LocAnalytics #LocAnaly*cs  
  • 4. About  Retail  TouchPoints   ü  Launched in 2007 ü  Over 26,000 subscribers ü  To provide executives with relevant, insightful content across a variety of digital medium Free subscription to our weekly newsletter: WWW.RETAILTOUCHPOINTS.COM/SIGNUP #LocAnaly*cs  
  • 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
  • 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
  • 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
  • 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!   Download  and  view     this  presenta*on  at:     h6p://rtou.ch/bdanaly9cs     #LocAnaly*cs