2010 HEDW Forum – Rensselaer

Higher Education Data Warehousing Conference 2010

Albany, NY, April 18-20, 2010

The HEDW Forum includes technical developers and administrators of data access and reporting systems, data custodians, institutional researchers, and consumers of data representing a variety of internal university audiences. The Annual Conference, sponsored by the Forum, is also open to this same restricted audience. 

The registration fee will be waived for presenters and panel moderators (but not for co-presenters and panelists). Presenters will receive special instructions from the Forum 2010 committee regarding registration process.

We are very pleased to offer a special Training Session entitled Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications.  This session will be held all day Sunday, April 18, for a fee of $500 (includes lunch). You may register for this training using the online HEDW Forum registration form, and you need not attend the Forum to be eligible for the training.

HEDW is pleased to offer a Vendor exhibition that will be open to all conference participants. This year, vendors will be available for the duration of the conference, including attendance at sessions, but are not eligible to be presentors at conference educational sessions.

The Forum registration fee is only $325 and includes the Sunday evening reception, the  Vendor exhibition, two days of conference educational sessions, two breakfasts, two lunches, and mid-day snacks. For dinners, conference participants are encouraged to choose from among the many fine restaurants in the Albany area within walking distance of the hotel.

For More Information Contact:

Jeff Stark 
2010 HEDW Conference Chair
Email:  starkj@rpi.edu

Presentations

“I Don’t Get No Respect” : Turning Data Warehouses into Campus Priorities
A Comprehensive Dimensional Data Model for Enrollment Management
All Aboard the Training Train: Keeping Your Business Intelligence (BI) Solution on Track
An EPM Deployment Case Study
An Intuitive Data Mart Built with Confusing Tools and Technologies
BI Solutions for Sponsored Research Reporting and Analysis
Building Productive Relationships Between Data Warehouse and Departmental Analysts
Common Sense Principles of Business Intelligence & Data Warehouse Architecture
Controlling the Chaos: Putting Business Rules in the Database
Creating Decision Centers