April 15, 2012 (Sunday) | |||||
7:00 am to 6:00 pm | Conference Center Lobby | Registration and Host Desk | |||
7:30 am to 8:30 am | Tejas Conference Dining, M2 | Continental Breakfast for Pre-Conference Training Participants | |||
8:30 am to 12:00 pm | Room 105, M1 | Pre-Conference Training I: Visual Data Analysis, Stephen Few | |||
8:30 am to 12:00 pm | Room 106, M1 | Pre-Conference Training II: Agile Data Warehouse and BI Workshop , Ken Collier | |||
12:00 pm to 1:00 pm | Tejas Conference Dining, M2 | Buffet Lunch for Pre-Conference Training Participants | |||
1:00 pm to 5:00 pm | Room 105, M1 | Pre-Conference Training I: Visual Data Analysis, Stephen Few | |||
1:00 pm to 5:00 pm | Room 106, M1 | Pre-Conference Training II: Agile Data Warehouse and BI Workshop , Ken Collier | |||
6:00 pm to 9:00 pm | Salon C, M3 | Conference Reception | |||
7:00 pm to 9:00 pm | Salon C, M3 | Welcome and Keynote Address Part I | |||
April 16, 2012 (Monday) | |||||
7:00 am to 6:00 pm | Conference Center Lobby | Registration and Host Desk | |||
7:00 am to 9:00 am | Salon C, M3 | Breakfast | |||
8:00 am to 9:00 am | Salon C, M3 | Keynote Address part 2 | |||
7:00 am to 5:00 pm | Conference Center, M1 | Exhibitors | |||
Break-out sessions | |||||
Room 106, M1 | Room 105, M1 | Room 104, M1 | Room 103, M1 | ||
9:15 am to 10:15 am | What If We Could Use Siri for Business Intelligence? John Rome, Arizone State University | Users May Not Know Much About BI, But They Know What They Like Aaron Walz, Beth Ladd, University of Illinois | Bringing Order to Chaos in Data Warehousing Jeff Christen Cornell University | The Best Way to Build a Data Dictionary is not Build a Data Dictionary! Scott Flory, Brian Parish, iData Inc | |
10:15 am to 10:30 am | Morning Break @ Salon C, M3 | ||||
10:30 am to 11:30 am | Developing a Blended IR-IT Data Warehouse Management Model, Ravindrar Harve, Boston College | BI Training and Communication Strategies (Panel) Ann Wunderlin, University of Washington, Rachel Kemelman, New York University | Needs Analysis: Business Process vs. Business Intelligence Peter Weinstein, Prasad Sunkara, Illinois State University | Campus Solutions, HCM, Finance and K-12 Data Warehouses-Agile Development Yiorgos Marathias, Robert Silcher Phytorion | |
11:30 am to 12:45 pm | Buffet Lunch @ Salon C, M3 | ||||
1:00 pm to 2:00 pm | BI on the Go Jeffrey Glatstein, University of Massachusetts | Should You Blame the Data Warehouse? Suzanne Coletti, Ted Bross, Princeton University | Of Forests and Trees: Institutional Data Definitions and Decision Support Christina Drum, University of Nevada | Best Practices in 10 Minutes Christina Rouse, Incisive Analytics | |
2:15 pm to 3:15 pm | Predictive Analytics for Student Counselling and Academic Capacity Planning: A Case-based Decision Support System Daniel Poeppelmann, Bodo Rieger, Sonja Schulze, University of Osnabrück University of Houston) | Implementing DW/BI in Higher Ed-Marketing versus Planning versus Just Doing It! Suneetha Vaitheswaran, University of Chicago | Data Integration as a Service or How to make your ETL tool investment payoff and add value across Campus Shelly Turner, Carrie Shumaker, University of Michigan | Liberati, a Platform for Academic Performance Management and Integrated Reporting for Senior Administration Rumy Sen, Tarun Sen, Entigence Corporation | |
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 | |||
April 17, 2012 (Tuesday) | |||||
7:00 am to 4:00 pm | Ballroom Foyer | Registration and Host Desk | |||
7:00 am to 9:00 am | Carrier Ballroom | Continental Breakfast | |||
9:00 am to 4:00 pm | Conference Foyer, hallway(outside Yale/Princeton), & Pennsylvania room | Exhibitors | |||
Break-out sessions | |||||
Amphitheater | Yale/Princeton | Taylor A & B | Rowe Room | ||
8:00 am to 9:00 am | Growing Our Own: An Agile Approach to Metadata (Drum, University of Nevada) | Implementing Business Intelligence using Microsoft Tools (Wilhelm, Indiana University) | Graduate Tracking System-The Greatest Data Transformation Ever (Solak, University of Massachusetts) | F5 Networks use WhereScape to Deliver a Multi-Terabyte data warehouse using an Agile Project, (WhereScape) | |
9:15 am to 10:15 am | iRetention: How Arizona State University made a retention dashboard work for everyone (Kennedy, Arizona State University) | An Agile Business Intelligence Manifesto for Higher Education (Cardoso, ISCTE- University Institute of Lisbon, Portugal) | The Scoop on Hadoop: Making Sense of “Big Data” (Rome, Arizona State University) | TBD | |
10:15 am to 10:30 am | Morning Break @ Salon C, M3 | ||||
10:30 am to 11:30 am | MyRA (My Research Administration): One Stop Dashboard Christine Ray, Indiana University | Metadata Management: Making Sense of It All (Panel) Rainbow Di Benedetto, University of Texas at Austin | Using a Data Warehouse for NCATE Tracking and Reporting Matthew McAuliffe, Salem State University | Analyzing College and Career Readiness with a Fully Integrated PK-20 Data Warehouse Shawn Bay, eScholar | |
11:30 am to 12:45 pm | Buffet Lunch @ Tejas Conference Dining, M2` | ||||
1:00 pm to 2:00 pm | BI Strategy –we know what needs to be done, so where is the problem? Ora Fish, New York University | Can Do Kanban: Integrating the DSS Team and the EDW Mary Syre, Nancy Lashbrook, University of Washington | Implementing The Common Education Data Standards John Blegen, State Higher Education Executive Officers | The New Era in Oracle Data Warehousing Beth Rogers, Oracle | |
2:00 pm to 2:15 pm | Afternoon Break @ Salon C, M3 | ||||
2:15 pm to 3:15 pm | Managing the BI User Experience Denice Inciong, Tasha Trankiem, Gene Tjoa, South Orange County Community College District | Higher Education Data Mining Natalie Kellner, New Mexico State University | Creating The Ultimate Masterpiece? Building a Master Data Repository to Inform Strategic Decision-Making Karen Weisbrodt, Thea Lyssy, University of Texas at Austin | SAP HANA for Higher Education David Ditzel, SAP |