Data Services: Data Mining and Data Clean Up

 

What We Do > Data Services Back     

 

IMA's data services fall into two main categories: data mining and data cleanup.


Data Mining

There’s money in your data. But data stashed safely in a database is like spare change lost among your couch cushions: it doesn’t do anything for you until you get it out.

IMA can show you where the money is hidden in your database, and then help you develop concentrated marketing efforts to mine it.

For example, imagine you run a grocery store and offer your customers discounts for filling out an application to join the store’s "club." You issue cards to the customers, which they use to get lower prices on certain items. Each time a club member uses a club card, his or her purchases are tracked and entered into a database. Before long, the database contains vast amounts of information about your customers’ tastes and buying habits.

IMA’s data miners can analyze this data for its revenue potential and explore the marketing possibilities with you. Then they can write the code that can turn your store’s data into money-making opportunities you’ve only dreamed of.


Data Cleanup

Consolidating data is a good thing, but the story doesn't end when the link is complete.

Let's say your company has just linked two huge databases and now your employees have quick access to more than 120,000 records. While it's nice to have it all in one place, there will, inevitably, be duplications, invalid data, misspellings and lots of creativity where you would prefer standardization.

For example, one clerk uses the abbreviation UNLV while another uses Univ. of Las Vegas.

One sales rep uses Zip code plus four, another stops with the basic five digits.

A couple of customer service reps have difficulty with an unusual name, and Mr. Paulchel gradually appears in your database as Mr. Polchal, Mr. Pauchel and Mr. Paul Chel.

The potential variations are infinite.

IMA's data cleanup services tie up all those loose ends.

We eliminate the duplications, standardize entries and validate your data. So that your consolidation story has a happy ending.

 

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