Purpose
Measurement of certain internal processes, at times, is enough to know where one is and where one can be. This, in turn, allows focusing the organization on key performance gaps that could strengthen sales.
IRIS uses clean data to pinpoint relevant internal data, map the same into logical correlations and study them for insights. Given below are some examples of how DataIntel can help retailers

Process
- KPIs
Using store databases and primary research techniques, Scorecard sets store KPIs that help evaluate store key sales enabling ratios longitudinally, and measure improvements
Loyalty
Most stores have customer schemes and loyalty programs. But just how successful are these on delivering desired objectives. These and more insights could be generated with a study of internal loyalty data. Some of the issues the data-mining exercise and primary research would yield....
. How often is the loyalty scheme used by people on the program?
. What is the profile of customers who use the loyalty program?
. Does it deliver on desired objectives such as more loyal purchase behaviour?
. How useful are these loyalty cards considered to be by customers?