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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.
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Know Where, Why, What: Big Data and the Role of Predic9ve and Loca9on
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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
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Panelists
Simon Thompson Director Commercial Solutions
Esri
MODERATOR
ShiSh Shridhar Global Director, Business
Intelligence Solutions Microsoft
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
Open Data Sources and Internal Sources enables
Retailers to better understand customers
The Retail Big Data Ecosystem
50b connected
devices
5 gadgets
per person
2020: The Internet of All Things
Connected Consumer; Collecting Insight
Connected Consumer; Collecting Insight
Cisco
Big data is driving us to a tipping point
Large data volumes
Multiple data types
Real-time data creation
User expectations
Mobility Hardware and storage economics
Turn Data into Outcomes
Action Gain Insight then Act On It
Knowledge Know By Trying
Context Leverage Understanding
Decision Democratize Decision Making
Turn Data into Outcomes
Visualize Seeing is Understanding
Compare Measure and Evaluate
Attain Set and Reward Goals
Challenge Question and Query
80 % purchase
within 10 miles of home or work
39 % will visit
somewhere unfamiliar
Place Matters
spreadsheets
people
customer records
big data collections
merchandise
mobile devices
demographic behaviors
analytics
social media
traffic footfall
Making Sense of Place
point of sale
Put a Face to Your Customers
So you can connect with them better
Social Media Impact
Local Promotion Demand
Making the Unfamiliar, Normal and Usual
Changing Influences and Expectations
Place Impressions - Driving Sales
+ Your Data Enrich Your View + Esri Data
Demographics Consumer Spending
Market Potential
Supply & Demand
Market Segmentation
Income
Landscape Info
Occupation Labor Force
Media Habits Real Time Traffic Crime Weather
Growth Trends
Competition
Sentiment
Place Impressions – Understanding Behaviors
Location Based Coupons
Social Media Insights Indoor Mapping
Sentiment Analysis
Inventory Management Sales Advertising
Marketing
Fraud and Loss Prevention
Workforce Management Business Continuity Operations
Social Media Analytics
Brand Analysis
Risk Analysis IT Integration Price Optimization
Compliance
Apply Location and Big Data Insight
Harness the power of a complete data platform Take action and operationalize
Office SQL Server Windows Azure Windows Server
Self-service Collaboration Corporate apps Data Search
Non-relational Relational Analytical Streaming
Virtualized networking
Scalable physical and virtual compute
Virtualized storage
SAN like intelligence built into OS
Internal & External ü
§ Quality and accuracy
§ Scale user-driven BI
§ Action over data in real time
§ Security, governance, and compliance
§ Cloud and on-premises
Objectives • Respond quickly to changing customer
needs • Increase sales • Attract new customers • Lower costs, improve margins
Tactics Implemented a comprehensive data warehouse solution for real-time visibility, fast performance and scalability
Results • Deeper customer view • Quicker response to trends • Faster delivery of critical business data • Positioned to meet growing data needs
Responding quickly to buying habits for competitive edge
“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
It’s not the strongest of the species that survives, nor the most intelligent, but the ones most responsive to change.
Charles Darwin
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Q & A // Panelists
Simon Thompson Director Commercial Solutions
Esri
MODERATOR
ShiSh Shridhar Global Director, Business
Intelligence Solutions Microsoft
Debbie Hauss Editor-in-Chief
Retail TouchPoints
#LocAnaly*cs
Thanks for a6ending!
Download and view this presenta*on at: h6p://rtou.ch/bdanaly9cs
