Association for Computing Machinery
ACM Special Interest Group on Knowledge Discovery & Data Mining

 

 

KDD-2000

Sixth ACM SIGKDD International Conference on
Knowledge Discovery & Data Mining

August 20-23, 2000
Boston, MA, USA

Data Mining for Successful Customer Management (CRM)

 

Gregory Piatetsky-Shapiro, Steve Gallant, Dorian Pyle

 

Abstract:

The promise of data mining in business environments is enormous.Until recently capitalizing on that promise in a real-world business environment has sometimes been very difficult.The promise is still as bright as ever and the recent past has taught practitioners of data mining for CRM (customer relationship management) much about delivering high-return, practical results.

 

Data mining is not a universal panacea for CRM success.Critical criteria include tools selection, business objective matching, data discovery, preparation & delivery.Successful data mining in a CRM environment is far more than the application of algorithms to data.

 

Customer Relationship Management is a broad approach to doing business.It is holistic in that it encompasses all aspects and functions of a company, focusing on managing the relationship between customer and company just as much between company and customer.CRM requires a two-way street � and exchange of information just as much as of goods and services.This tutorial selects five crucial CRM strategic business areas.Although part of a whole, each area is examined separately in the tutorial to enable a clear view of the problems to be met, the business problem to be solved, and the methods for delivering value.The areas chosen for scrutiny are: data preparation, customer segmentation, attrition, cross sell and e-commerce.

 

The tutorial assumes mastery all of the essential data mining concepts, practices and procedures.It focuses particularly on leveraging these basic skills to get the most out of them, and extend the miner�s skill set within CRM.

 

Biographies of Organizers:

Gregory Piatetsky-Shapiro, Ph.D. - Vice President and Chief Scientist, Analytics, Xchange.Gregory Piatetsky- Shapiro works on translating the latest analytical technology and methodology to successful business applications. He has many publications in the field, including"Advances in Knowledge Discovery and Data Mining", MIT Press. He is Founder and Editor, KDnuggets.com newsletter and web site; Founder, Knowledge Discovery in Databases (KDD) conferences, and General Chair, KDD-89, 91, 93, 98; Director, ACM SIGKDD.He was formerly, Principal Member of Technical Staff, GTE Laboratories.

 

Steve Gallant, Ph.D.- Director, Analytics Services, Xchange.Steve Gallant leads consulting engagements for financial institutions.He was formerly, Senior Scientist at HNC Software and Belmont Research, and Associate Professor of Computer Science at Northeastern University.He is the author of "Neural Network Learning" (MIT Press); has three patents in neural networks, expert systems and information retrieval; and has 40 published papers.

 

Dorian Pyle - Director, Training & Methodology, Xchange.Dorian Pyle has over 20 years of experience in solving business analytical and mining problems.He is the author of "Data Preparation for Data Mining," (Morgan Kaufmann, 1999,) �Business Modeling and Data Mining,� (Morgan Kaufmann, forthcoming 2000.) He is an invited speaker at leading conferences on e-commerce, CRM, data and web mining.��� He was formerly, Senior Consultant, Data Miners. President, Xychron Corporation.Partner, Naviant Technology Solutions; Consultant, Thinking Machines Corporation.

KDD-2000 Home