Data Mining Process

The data mining process itself starts with collecting data on your business operations. With technology today, companies have the ability to warehouse their data. While such data is useful from the perspective of maintaining records on purchasing and sales, it can also be used to improve business decisions.

The power of data mining depends on the quality of the data. If you collect and maintain comprehensive records, you will be able to extract the information that you need. Once you have your data warehoused, the next step in the data mining process is preparing your data for analysis.

The Early Stages of the Data Mining Process

You may need to spend some of your time cleaning up the data. For example, there may be some items of your data that are missing or contain values that do not make sense. In such cases, you may need to correct these errors manually or systematically impute the missing data. Once these parts of the data mining process are complete, you can go about analyzing the data to find associations and develop predictive tools.

During the data mining process, you typically will start by using only a fraction of your data to calibrate your tools and then test them with the remaining data. At The Modeling Agency, we can work with you to apply the latest tools that are being used in the data mining process to find insights that will benefit your company, whether by reducing costs or increasing revenue. To find out about our consulting services or to inquire about our public seminars, contact us today.