The White Papers section is our contribution to researchers and experts in the Market Research Industry. It is intended to strengthen, if possible, your existing knowledge of topics displayed in this section. We would further appreciate your comments and arguments on these topics and thank you in advance for any suggestions for improving the content, expertise or style of presenting these papers. This section is also intended to educate Students of Statistics understand various business scenarios which would further help them as well as the Industry they would be part of in the future.
We hope this section helps both of us isolate, think and further strengthen our understanding of Business and Management issues in its different contexts.
Consumer Segmentation
Insight into the Consumer decision making process, from deeply held core beliefs and attitudes, to need states, to choice of multiple channels, to final purchase; and to account for as many of these factors as possible in the segmentation process. Read more
Customer Churn Analysis
A few useful steps towards understanding your customers better through rule base churn detection, Segment specific modeling and combining current and past predictive models. Read more
Demand Forecasting - Challenges
Insights into how to account for four fundamental sources of noise in advance to systematically do the best possible job of forecasting and planning. Read more
Demand Planning
A step by Step approach that gives retailers and their suppliers the ability to measure and calculate the risks, probabilities and costs of stocking out versus closing out as products move through the stages of their life. Read more
Store Clustering
Insights into how to select the best stores for test marketing, the amount of products that need to be placed in these stores for accurate results, and how to ensure these tests reflect the chain wide performance of the new products. Read more
Key Driver Analysis
With Key Driver Analysis you can focus your attention on what is important to your customer, plot the data, prepare a key driver chart and take important decisions. Read more
