1. Analytics & Retail Analytics
Analytics of Market with Retail Analytics

2. What is Analytics?
 Analytics is the discovery and
communication of meaningful patterns
in data.
 Especially valuable in areas rich with
recorded information, analytics relies
on the simultaneous application of
statistics, computer programming and
operations research to quantify
performance.

3.  Analytics often favors data
visualization to communicate insight.
 Firms may commonly apply analytics
to business data, to describe, predict,
and improve business performance.

4. Specifically, arenas within analytics
include
 Enterprise decision management
 Retail analytics
 Store assortment and stock
optimization
 Marketing optimization and mix
analytics
 Web analytics
 Sales force sizing and optimization
 Price and promotion modeling
 Predictive science

5. Retail Analytics
 In these times of economic uncertainty
and decreasing margins, retailers
must improve their approach to driving
traffic and sales.
 With increased mobility and always-
connected capabilities, shoppers
today can easily research competitive
offerings, even while standing in a
store aisle, such as marketing
attribution and overall marketing
effectiveness.

6. The Importance of Retail Analytics
 Identify and target the most valuable
customers.
 Analytics can help retailers understand
customers’ social behavior and provide
valuable insights on what is important to
them.
 For retailers like Walmart, Target and
others that depend on increased
spending among existing customers to
boost sales, loyalty is a particularly
important goal.

7.  Turning Data Insights
into Revenue
 By leveraging
analytics tools and
models, retailers can
boost customer
loyalty by creating a
personalized
shopping experience
that customizes
offers to needs.

8. Analytics in Customer Loyalty
 Analytics tools can help retailers
connect with customers at every stage
of the lifecycle by turning these
patterns into valuable insights that
describe, predict and improve
business performance.
 To collect all this data, retailers use
two methods: In-store analytics and
Online analytics.

9.  In-store analytics:
This is one area where physical
monitoring of customers can reveal
valuable information.
 Online analytics:
This is used to collect and analyze
online customer information.
Commonly used tools are social
media monitoring tools, mobile device
usage and Web searches.

10. Summary
 The importance of Retail Analytics is
well established, and successful
retailers are continuously looking to
invest in analytics to attract new
customers and retain their customer
base.
 It is imperative for retailers to delve
deeper into customer data and utilize
different analytics tools.

11. Thank You