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Data Mining

How can your company profit from data mining?

There is treasure in the mountains of data a company generates and collects. Almost none of it can be derived efficiently or accurately by hand.

MAPS builds computer-driven models which extract and analyze complex and ever-changing data. Using data that your business generates, it is possible to predict a particular outcome--such as potential sales and profits. Data mining permits you to leverage your data, save time and money, increase profits and minimize business risk.

CASE HISTORY: Which store lease will be the best choice?

One client’s business model involved a high volume, low margin "grocery outlet," selling close-out merchandise at greatly reduced prices. 

A key to success was the ability to slash location expense by negotiating a cheap lease on a "dark" store from a national grocery chain.

The business did very well for a time. However, the client subsequently leased two additional locations that turned out to be poor performers. What was there about the newer locations that wasn't working? 

MAPS research provides a vital clue.

Using a combination of (a) the client's transaction sales data, (b) customer surveys and (c) market demographic data, MAPS built a model which predicted the sales volume of a variety of proposed locations. 

The model showed that the low-performing store locations lacked the two most critical, but least visible, success factors. 

As new locations became available, the model predicted which would succeed and which would not perform satisfactorily.  The model paid for itself in just one profitable lease.

Here's a quick glance of the location model sample data matrix generated by MAPS research.

A quick glance at the chart shows the value of the data mining model.

• The Furston Bypass location should be avoided since it has the lowest 2010 sales forecast - only $853 per foot.
• The Bristol Avenue location is forecast to experience a decline in sales per foot.  
• The St. Anna location seems to offer the most robust sales potential, $1638 per foot in 2010.