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A typical business problem

When a leading hamburger restaurant chain woke up to the issue of healthy eating, they did extensive research among their customers into what they wanted to eat.

The result was a total rethink of the restaurants’ layout and menus. People had said they wanted healthy food - low fat and lots of salads. Big salad bars were built in all the venues and lighter, healthier food was on the menus.

But customer behavior did not change. They still bought the full fat burgers and the salads were a washout.

If the chain had merged their research into people’s attitudes with data from their operational systems, they would have found that such a radical rethink was not the right way to go. Instead they made an expensive mistake.

A typical Cognicient solution

A large US retail chain wanted to find out what was delivering financial performance at store level, and how to deliver its brand promise.

We built a model that integrated data from customer surveys as well as their loyalty program (store cards and revenues relating to customer spend) and employee satisfaction and engagement metrics.  This gave the client an overall balanced score card picture of the relationship between employees and customers and its impact on financial success. 

This was used to create a predictive model that gave clear overview and insight into how to invest and plan for the future.  The result was a more consistent delivery on brand promise and a vastly improved financial performance.

 

Sectors:

We have worked with companies in the following sectors:

Consulting
Finance
IT
Healthcare
Retail

Please contact us for a consultation about your needs:

experts@cognicient.com


 
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