Services - CPG / Retail  
Domain Focus
Marketing Analytics
Risk Analytics
Supply Chain Analytics
 
Industry Focus
Financial Services
 
CPG and Retail companies need analytics to...
 
  1. ... Understand & Predict Consumer Demand ...
  2. ... Manage Supply Chain Volatility ...
... in both data-rich and data-poor environments
 
An example of why clients need to enable decision making in both data-rich and data-poor environments
Facts Implications
  • A large retailer accounts for the biggest percentage in sales for CPG companies
    • 28 percent of CPG Co.1 sales
    • About 25 percent of CPG Co.2
    • roughly 18 percent of CPG Co.3
  • Not even the biggest CPG company constitute more than 5 percent of a retailers' sales
  • The five retailers' share of the grocery business climbed from 26.5% in 1980 to 38% in 2000
  • Retailers' not sharing information with CPG companies creates a black box that impacts
  • CPG industry heavily dependant on retailers' to understand their customers
  • Analytics groups within the CPG organizations need to have different strategies to function in both data-rich and data-poor environments
  • Senior Analysts with domain expertise need to be spending time using their talents to better understand customer behavior in data poor environments
  • Analytics in data rich environments need to be done in the most cost effective way possible
  • Senior analytics personnel who practice functioning in data-poor environments need to deploy creative methods to solve problems
  • Organizations need to deploy efficient means to separate creative analytics from routine number crunching
 
 
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