Meetings

Data Mining specialist conference on June 26-28, 2002

Chemnitz / May 13, 2002 - The Prudential Systems Software GmbH, technology leader in the field of Data Mining announces high-caliber guest speakers for the Data Mining Specialist Conference 2002 (Data Mining User Event Days) on June 26-28, 2002. Beside Manfred Roux, Director Data Management Development, Data Management Division, IBM Software Group, also Dr. Peter Gentsch, Managing Director with the pepper technologies AG and responsible there for the areas of Web Intelligence and Data Mining as well as Dr. Wolfgang Martin, Independent Analyst und META Group Fellow are after the "homo hybridicus" and investigate the trends of the Data Mining development.

In several parallel sessions, Data Mining experts and representatives from well-known enterprises will give lectures on the use of the Data Mining in the finance and insurance sector and in the areas of mail-order trading, energy, medicine, etc. The visitor does not only get explained various application examples of the Data Mining. In a Basics and CRM Session, the visitor will also get general information around the topics of Data Mining and Analytical CRM.

In the Product Session, the visitor can inform herself/himself about the Data Mining analysis tools presently available on the German market. Here, the participating companies can present their specific products.

Beside several further lecturers who will discuss the topic of Data Mining from their respective point of view, representatives from Accenture and from the SPSS GmbH Software, that belong to the main sponsors of the this year's cup, will also give lectures on the topics of Data Mining and Customer Relationship Management.

If you want to get tickets, please visit http://www.data-mining-cup.de/Fachkonferenz/Anmel-dung/.

For program details as well as more information about the course of the Data Mining Specialist Conference 2002, see under http://www.data-mining-cup.de/Fachkonferenz.

For additional general information on the Data Mining Cup, see under www.data-mining-cup.de