Advanced Analytics @ UMUC
(Catalano, University of Maryland University College)
Testing Data, Reports & Patience: How Princeton Got a Grip Testing an Ever-changing BI Environment
(Zodeiko, Princeton University)
7 Step Framework for Starting (or Restarting) a BI Program (Hill, University of Notre Dame)
The Best Way to Build a Data Dictionary is to NOT Build a Data Dictionary(Flory, IData Inc)
10:15 am to 10:30 am
Morning Break @ Ballroom Foyer
10:30 am to 11:30 am
Collaborative BI in a Distributed World (Walz, University of Illinois)
Business Glossaries – What’s available and how to evaluate it
(Reeb, University of Rochester)
Academic Department Metrics in Nine Weeks: Lessons Learned (Thomas, New York University)
Tableau at Cornell: Agility at the Enterprise, (Sedlacek, Cornell University/Tableau)
11:30 am to 12:45 pm
Buffet Lunch @ Carrier Ballroom
1:00 pm to 2:00 pm
Forum Member Panel Discussion
Leveraging Business Intelligence to Develop a University Key Indicators Dashboard (Greene, Boston College)
Course Evaluation: From Rag (paper) to Riches (Stemmler, University of Pennsylvania)
Jumpstarting Data Analytics at Syracuse University-Lessons from the First 90 Days(Anderson, Blackboard)
2:15 pm to 3:15 pm
It’s About Partnerships: How Evolving Partnerships Have Built a Warehouse (Barlow, University of Houston)
Tuition Revenue Model Integration for Academic Instruction, Enrollment and Teaching (Berlin, Stony Brook University)
If you’re not doing “In Memory” BI, you should be. (Frederick, University of Notre Dame)
Student Success and Retention: An Analytics & Reporting Case Study, (Derrick Reig, Oracle)
3:15 pm to 3:45 pm
Afternoon Break @ Conference Foyer
4:00 pm to 5:00 pm
Exploring Social Media Data for the Decision-Making Purpose
(Mulugetta, Ithaca College)
Life after graduation: Triangulating disparate data sources to describe students’ employment and graduate school outcomes (Drucker, University of California)
Business Intelligence at the University of Arizona – a Case Study (Childers, University of Arizona)
Common Sense Tops for Effective Adoption of BI Analytics, (Rouse, Incisive Analytics)
5:00 pm to 6:00 pm
HEDW Business Meeting @ Amphitheater
6:00 pm to 10:00 pm
Local Restaurants
BI Networking Dinners – sign up in Ballroom Foyer by 12 pm