Revisit: Marketing Meets Data Mining


Workshop on Data?Driven Business Intelligence: Marketing Meets Data Mining, Austin, TX, 21-22 Aug 2009, Co-Chaired by Maytal Saar-Tsechansky and Frenkel ter Hofstede; Deadline now 21 Jul

 ARC: Connections: ELMAR: Posting

areas: methods: content

Dear colleagues,

Please note the new abstract submission deadline for the "Workshop on Data-Driven Business Intelligence: Marketing Meets Data Mining" at the McCombs School of Business has been changed to July 21st.

Please visit the workshop website at

or see the information below for complete details.

We look forward to see you in Austin!

Workshop on Data-Driven Business Intelligence: Marketing Meets Data Mining
The McCombs School of Business, Austin Texas, August 22-23, 2009.

Important Dates

Deadline for abstract submission: July 21, 2009
Notification of acceptance : July 25, 2009
Workshop in Austin Texas : August 22-23, 2009


The fields of Data Mining and Marketing have independently produced a rich and interesting set of methodologies that address a variety of marketing challenges. These include modeling consumers’ behaviors, preferences, and specific purchase intent. While much research in marketing and data mining has been motivated by shared problems, researchers in these disciplines seldom build on each others’ works or collaborate to advance the state of the art. This is due in part to the lack of shared forums and differences in research paradigms which evolved in each discipline over time.

The objective of this workshop is to open a window to current work in each of these disciplines, and to accommodate a nurturing environment that will trigger the development of novel ideas and fruitful collaborations. Similar to the objectives of the “International Workshop on Customer Relationship Management: Data Mining Meets Marketing“ held at the Stern School of Business in 2005, we also believe that such interactions are beneficial to both communities; the scope of this workshop, however, is not limited to CRM, and includes methodologies that address all marketing problems.

We invite researchers from information systems, marketing, computer science, and statistics to present methodological contributions in data-driven analytics that were either directly motivated by or which have applications to interesting marketing problems.

This will be a two-day workshop and will include several invited talks, research paper presentations, posters, and a panel discussion. In addition to researchers from marketing, information systems, computer science, and statistics, we welcome practitioners to share interesting insights on unresolved challenges that the research community can address.

Submission guidelines

Please email an extended abstract of up to 2 pages to the conference address at Each submission will be reviewed by members of the program committee.

Please do not hesitate to email the workshop contact at if you have any questions.

Maytal Saar-Tsechansky, Co-chair
Information, Risk, and Operations Management
The McCombs School of Business
The University of Texas at Austin

Frenkel ter Hofstede, Co-chair
Department of Marketing
The McCombs School of Business
The University of Texas at Austin