Self-Acting Data Mining, or: Data Analysis with Autofocus

The mayato analysis approach of Self-Acting Data Mining is the “automatic camera” of data mining: The right data is automatically “exposed” and there’s an automatic focus on the key analysis results. Self-Acting Data Mining combines the speed and ease of use of simple reporting systems with the enormous search domain size und forecast quality of traditional data mining:

• No time-consuming parameterization of the analysis procedure
• No need for many routine tasks thanks to automated data preparation
• Radical streamlining of the analysis process – more than 70% time saved
• Incomparably fast, even with large data quantities

Proven Itself Many Times Over

With Self-Acting Data Mining, even ambitious analysis projects can be completed faster, more reliably, and more cheaply – making them significantly more efficient. But some companies like to get started through small pilot projects: They lead to meaningful results after just a few days, thanks to our specially aligned project approach. This has already proven its worth many times over – for example, in our projects at  Mercedes-Benz Bank.

The benefits can be reaped in almost every analytical situation, for example, with:

• Customer value calculations and validations
• Customer segmentations
• The analysis of cross-selling and up-selling potential
• Investigations into customer churn
• Campaign management
• Risk management and fraud detection

Do you want to know whether Self-Acting Data Mining is right for you? Then e-mail us at This e-mail address is being protected from spambots. You need JavaScript enabled to view it .