Data mining

Data mining uses existing large (individual) databases for additional new issues. The focus is on individual persons and customers. The data mining process integrates knowledge relating to business processes and data and methods. The CRISP data mining process covers a full cycle comprising business+data understanding, data preparation, modeling, evaluation and deployment.

Large market research databases represent a natural source for data mining. Data mining processes produce knowledge from market research data which is exploratory, interactive, individualized, operationally relevant and directly applicable. Data mining brings market research findings direct to your customer database. Data mining can only provide an overall picture if the when the company data is set in a market perspective. The existing behavior data therefore requires information on the needs and attitudes of customers as well as information on market structures.

Data mining with GfK – the advantages:

• Range of skills
  Firmly anchored in the many areas of research undertaken by the GfK network
  
• Market knowledge and market understanding
  Our comprehensive expertise supplements your business knowledge
  
• Market research panel
  Our panel data with the overview of the total market enhances your knowledge
  
• Enrichment of client databases
  Euro-Socio-Styles, Point Plus (microgeography), panel target groups, market surveys, segmentations, etc. created specially for your customer database
  
• Experience with methods, software and data management
  Our experts in methodology and data-handling support you with methods, instruments, software, and experience in complex data management and data integration

Klaus Bergmann
Tel. +49 911 395-2221
Fax +49 911 395-4024
klaus.bergmann@gfk.com

Holger Dietrich
Tel. +49 911 395-2020
Fax +49 911 395-2715
holger.dietrich@gfk.com

Services