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| Data mining |
| Data mining uses historical data to build a predictive model of customer behaviour. We help do that. Databases are getting more complex due to |
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increase in customer touch points like website, call centers, emails, direct mails etc |
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greater volume of data – transaction, interaction, demographic etc and |
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increase in the speed of collection of data. We help transform neglected and outdated databases into powerful assets. |
| The steps involved in data mining are |
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Identify all customer touch points and the data that can be collected from each |
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Define data capture format and mechanism |
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Define a central data collection system |
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Identify and rectify missing data |
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Identify patterns using domain knowledge and mathematical functions to define target knowledge |
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Index data for marketing use |
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