Data mining in E-Commerce

 

You would like to translate the concept of data-mining or explain briefly, one is short due to lack of a handy, 

 German vocabulary fast with the English term "Knowledge discovery in databases", knowledge discovery in databases, KDD. But rather, this is the process of data mining.

The process involves, besides the actual analysis step, the preparation of the data: what data are available, which require we and the cleanup of this data.

It followed by the preparation of the data for the analysis and then the analysis itself, the data mining. Finally, there is the evaluation, the evaluation and interpretation.

Meeting of E-Commerce and data mining

Almost every company brings together all data, not just the start-up and the sale and the customer data in databases. Most of the time, also customer acquisition and marketing of appropriate software are controlled. And even E-Commerce and data-mining can come together, at least in medium-sized and large companies. Want to she get the best from their databases out, increasing data volume and high standards, so they come from no longer with a normal CRM software.

Open source facilitate all data which can be hold more and more applications and clouds. For example, through its customers. Obviously it is sufficient not to gather the data of its customers and to sort. It no longer enough customers who live in a certain village and play golf for filtering and the list press the golf-loving field staff in the hand.

You want more. You will have more data, this drag more connections and get completely new, not previously anticipated findings. For these high requirements, increasing pressure and ever-increasing volumes of data, the process of data mining is a consistent tuning for CRM. Here for information about flexbilen CRM solutions (www.adito.de)

Are there any disadvantages?

As is so often the critical points of data mining in the first place are in technical and scientific solutions and applications, the user. It is natural to criticize, if the data be obtained by persons not within the legal data protection laws. Just as it may be a distortion of the results if the data is not maintained if the parameter entries are not accurate or too well. And, ultimately, the interpretation of the results and the need for action from this early are very crucial.