In the process of today's rapid technological progression, companies collect and record extensive business data. In many cases, the simple collection, management and preparation of data (data warehousing) is still prevalent, however. A multiplicity of information remains unrecognised in its informative potential and unused for corporate management-purposes. This is the starting point for Data Mining: specific tools and statistics programs systematically search your company's data stock for relevant correlations, patterns and trends. Thus, valuable information for an effective management and prediction of business processes can be obtained. Data Mining projects are a crucial condition for business intelligence and successful customer relationship management - YouGov effectively supports the intelligent utilisation of your data stock: we help you find your hidden treasures! BENEFITS Data Mining comprehensively explores available data stock and master data Data Mining facilitates the detection and access to new and hidden information Data Mining turns data into relevant information for an intelligent corporate management Data Mining increases the accuracy of marketing campaigns (database marketing) and provides important support for the development of an optimal customer care system Data Mining allows the systematic accumulation of master data, e.g. by linking them with psychological customer typologies POSSIBLE OBJECTIVES database marketing - e.g. increasing the success rate of mailing campaigns response analysis - e.g. purchase- and cancellation-analysis risk analysis - e.g. financial validity- or fraud-predictions classifications - e.g. market segmentation or market basket analysis mapping analysis - e.g. image analysis or score formation predictions - e.g. sales development or customer base analyses PROCEDURE in coordination with our client, we determine the aims and objectives of a specific Data Mining project the available data stock and the methods of its provision are coordinated we develop indices relevant for your objectives (e.g. moving averages of process data or relative values like turnover-transaction frequency ratios) in the Data Mining process, we analyse the data supplied using different methods (e.g. neuronal networks, rule-induction, linear and non-linear decision tree analysis, times series analysis, etc.) we principally develop several Data Mining models and select the one with the highest selectivity and validity in an assessment with test samples the results are presented in a chart report with recommendations for specific measures additionally, we provide our client with the model (e.g. a classifier) for programming and implementing Data Mining in the data warehouse