This document discusses implementing analytics for a company. It begins by stating that analytics has become a business necessity focused on fact-based decision making. The company is currently facing issues like low revenue growth and high shrinkage and attrition. The implementation plan outlines different analytics for human resources, fraud, supply chain, and marketing. Expected benefits include 15% revenue growth, 26% increase in efficiency, and reductions in shrinkage and attrition. The next steps are to gain support for implementation, build an analytics team, and spread awareness among employees.

2.  Analytics: A business reality now
 Why do we need Analytics?
 Implementation Plan
 Expected benefits
 Taking the next step…

3. Analytics: A business reality now
 Focus is on fact-based rather than gut based decision
making.
 Analytics is a strategic weapon for businesses.
 Customer analytics are driving big data initiatives.
53% of big data efforts underway by retail
companies are focused on achieving customer-centric outcomes
 Organizations are being practical about adopting Analytics
74% of retailer say that leadership is totally or highly committed
to analytics.

4. Analytics in Retail
 Opportunity to achieve competitive advantage from
‘Analytical Retail ‘ is enormous.
 Few examples:
 Kroger gets a 40% redemption rate from its
analytically target coupons compared to industry
average of 2%
 Tesco uses supply chain analytics to save $100m
 German retail giant Otto Group used predictive
analytics to save $20m

5.  Analytics: A business reality now
 Why do we need Analytics?
 Implementation Plan
 Expected benefits
 Taking the next step…

6. Why do we need Analytics?
Pain Points of the Company
 The companies YOY revenue growth is not meeting our
expectations
 Retail shrinkage of the company is 2% of our annual
retail sales
 The attrition level is 5% above the industry average

7. Why do we need Analytics?
Opportunities to explore
 Develop close relationships with customers based
on a deep understanding of their behaviors and
needs.
 Determine the best use of marketing investments.
 Balance inventory with demand so that we are
never out of stock or carrying excess inventory.
 Locate stores, distribution centers, and other
facilities in optimal locations.

8.  Analytics: A business reality now
 Why do we need Analytics?
 Implementation Plan
 Expected benefits
 Taking the next step…

9. Implementation Plan
 HR Analytics
 Fraud Analytics
 Supply Chain Analytics
 Marketing Analytics

10. Implementation Plan
HR
Analytics
Raise Visibility
Align HR data with business data
Predict the future

11. Implementation Plan
Fraud
Analytics
Cultural Assessment
Understanding activity Patterns
Continuous monitoring & innovation

12. Implementation Plan
Supply
Chain
Analytics
Inventory Management
Sales Forecasting

13. Implementation Plan
Marketing Analytics:
 Evaluate consumer purchasing behavior, identification of
the combination of the products buying together
 Predictive modeling to evaluate price elasticity, margin
target, profit and revenue maximization
 CRM analytics(demographic, psychographic & purchase
behavior), cross-selling and up-selling strategies.
 Better store layout planning and assortment optimization

14. Infrastructure Requirements
 Developing a CoE
 Dedicated captive center for analytics
 Building expertise in analytics
 Creating awareness
 IT requirements
 Analytical tools and software
 EDW

15.  Analytics: A business reality now
 Why do we need Analytics?
 Implementation and Execution plan
 Expected benefits
 Taking the next step…

16. Expected Benefits
• Our YOY revenue growth will be 15%
Current Vs Expected EBIDTA
• Projected increase in the operational efficiency is 26%
• We would be able to reduce our retail shrinkage to 1%
• We would be able to reduce our attrition level by 10%

17. Taking the next step…
 Need your support, commitment and desire to
implement.
 Start building the team
 Spread the awareness among the employees

18. Questions