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Data Mining

Score(TM) 4.0

With the help of the overview below, we would like to present to you the most important aspects of data mining projects, from the first preliminary talks to the conclusive, definite implementation of regular scoring analyses.

Objectives

This section describes the four most important objectives in daily practice, namely response optimisation, cross selling, customer retention and credit rating. They will be described in greater detail with the help of four examples. more...

Preparation

Exact planning and preparation of data mining processes is often being neglected in practice - a failing which will irrevocably lead to complications and to an unnecessary delay of the project. We will draw your attention to all the necessary preparations and assist you with every single step you proceed in this phase.  more...

Preprocessing

Any successful data mining project is based on not only adequate quality of the data used, but also on an adequate preprocessing of these. Our analytical software Score(TM) 4.0 facilitates this process, as is described in greater detail in this section.  more...

Data Analysis

Score(TM) 4.0 enables the user with a normal PC to analyse a very huge stock of data, such as 10 million data records with 500 variables. All of the process's steps are bundled together within a single tool which - with its clear interface and its highly developed analysing routines - allows for a very quick analysing procedure.  more...

Scoring

With Score(TM) 4.0 the evaluation itself (i.e. the scoring) of customer data can be proceeded and automated in a step completely separate from that of the analysing process. Thus the scoring process can be transmitted very easily onto a shared computing system in order to allow for very large amounts of data being processed quickly.  more...

Marketing Projects

We will assist you in the phase of implementing scoring analyses into marketing activities, an assistance ranging from the first advisory talks and the implementing of marketing processes to a regular contemporary dealing with the target group, providing a feedback for the scoring analyses.  more...

Evaluation

In subsequence to a data mining analysis you can check exactly how successful the marketing activity has been - or would have been, in case you are still in the evaluation phase of a data mining project. If you wish, we will be glad to advise you on adequate test procedures which facilitate an exact determination of your data mining activities' success.  more...

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