ENBIS: European Network for Business and Industrial Statistics
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PostConferenceCourse: Data Mining for Practitioner
24 September 2009Data Mining for Practioners
Andrea Ahlemeyer-Stubbe
Antz21 GmbH; Hauptstrasse 21, 77723 Gengenbach, Germany
a.ahlemeyer(ett)antz21.de
abstract:
The increasing use of computer technology in many areas of economic, scientific and social life is resulting in collections of digital data. These data pools could be used to obtain a higher quality of information than that obtained from simple database inquiries. This is where Data Mining comes in.
With Data Mining techniques, it is possible to "mine" data pools for "hidden" knowledge. Data mining gives you a major competitive advantage in view of the key role played by knowledge and knowledge management in the development of future markets.
Especially in Marketing and Sales fields the knowledge on future customer behavior and wishes makes the difference between successful and average.
agenda
9:00 - Welcome
9:15 - Data Mining: What is it about? Where do the differences lie opposed to other analytical methods?
10:00 - Data Mining Methods - a general overview
10:45 - Coffee Break
11:00 -The Data Mining Process - How to find the Nuggets in Data
12:30 - Lunch Break
13:30 - On to a practical example. Based on Data of a SME: Customer Loyalty Programme.
Using Data Mining Methods to predict buying probabilities
15:15-Coffee break
15:30- Using Data Mining Methods to optimise the cross-selling
17:00-Review and End of workshop.