HEDW Conference Agenda

16th Annual HEDW Forum Conference Agenda
April 14 – 17, 2019
Hosted by University of Michigan
The Ann Arbor Sheraton Hotel
Ann Arbor, Michigan

Conference at a Glance

Presentation Descriptions and Presenter Bios are available on separate web pages. Page links are in the menu to the right.

 

Sunday, April 14, 2019 – Ann Arbor Sheraton
Time Room Event
7:00 am to
5:30 pm
Foyer HEDW Registration and Host Desk
7:30 am to
8:30 am
Grande I
Buffet Breakfast for Sunday Training Participants
8:30 am to
12:00 pm
Grande II
Data Modelstorming Workshop, Lawrence Corr, bestselling author of “Agile Data Warehouse Design”
8:30 am to
12:00 pm
Grande III
Non-Invasive Data Governance, Robert Seiner, President and Principal of KIK Consulting & Educational Services
12:00 pm to
1:00 pm
Grande I Buffet Lunch for Sunday Training Participants
1:00 pm to
4:30 pm
Grande II Data Modelstorming Workshop, Lawrence Corr, bestselling author of “Agile Data Warehouse Design”
1:00 pm to
5:00 pm
Grande III Non-Invasive Data Governance, Robert Seiner, President and Principal of KIK Consulting & Educational Services
4:30 pm to
5:30 pm
Board Room
HEDW Board meeting
5:00 pm to
6:30 pm
Foyer Sponsor Setup
5:45 pm to
10:00 pm
Foyer Buses to Reception and back to Sheraton (looping)
6:00 pm to
9:30 pm
Jack Roth Stadium Club  HEDW Conference Reception – Food and drink available 6 – 9:30 pm
6:00 pm to
9:30 pm
Jack Roth Stadium Club  Photo Booth
7:00 pm to
7:20 pm
Jack Roth Stadium Club  Welcome Address – Ravi Pendse PhD, Vice President for Information Technology and Chief Information Officer and Kevin Hegarty, Executive Vice President and Chief Financial Officer
7:30 pm to
9:00 pm
Locker Room Tour and on Field Activities Represent your school by wearing spirit wear for the group photo

 

Monday, April 15, 2019 – The Ann Arbor Sheraton
Time Room Event
7:00 am to
5:00 pm
Foyer Registration and Host Desk
7:00 am to
5:00 pm
Foyer Conference Sponsors
7:00 am to
8:15 am
Michigan Ballroom Breakfast
8:15 am to
9:15 am
Michigan Ballroom Keynote Address – Data Science at the New York Times with Chris Wiggins
Time Grande I Grande II Grande III Petit I & II Michigan Ballroom III,IV,V
(Sponsors)
9:30 am to
10:30 am
Data Modeling for beginners; Rochelle Smits-Seemann, Abby Kaplan, Salt Lake Community College Communicating with Data at the University of Exeter; Dan Isaac, University of Exeter, UK Avoid Surprises on Census Day—Track Retention Daily! Sarah Yoshikawa, Nadya Balabanova, Loyola Marymount University Data Quality Strategies – Purdue University – Panel Discussion; Sarah Bauer (Moderator), Kathleen Thomason, Jennifer Littlefield, Abby Snodgrass, Purdue University – West Lafayette
10:30 am to
11:00 am
Morning Networking Break / Foyer
11:00 am to
12:00 pm
Your Institution’s Data Superheroes – Use Their Power for Good; August Freda, University of Notre Dame The Data Discovery Journey – Where is our data?; Amber Madden, University of Michigan Data Visualization: How to Use It For Good Or Evil; Matthew Pickus, University of Michigan What to Consider when Starting Predictive Analytics at Your Institution – Panel Discussion; Heather Chapman (moderator) – Weber State University; Craig Rudick – University of Kentucky; Drew Allen – Princeton; Yuko Mulugetta – Ithaca College
12:00 pm to
1:00 pm
Lunch / Michigan Ballroom
1:15 pm to
2:15 pm
Dimensional Modeling Design Patterns – A Review; Neil Belcher – Cornell University Bridging the Gap: Connecting the path between Data Warehouse and Analytics; Dan Reichl, Yurong Hu, Jennifer Watson – University of Michigan DevOps Approaches to Data Warehousing and Business Intelligence; Max Michel – UC Berkeley Big Ten Data Governance’s Journey – A Panel Discussion on Successful Collaboration; Laura Gast (Moderator), Sarah Bauer, Amy Schult – The Ohio State University
2:15 pm to
2:45 pm
Afternoon Networking Break / Foyer
2:45 pm to
3:45 pm
Adventures in Data Modeling Part Deux – Retention Model Expanded; Nadya Balabanova – Loyola Marymount University Where Did They Go: Using BI to Build an Institutional Repository for National Student Clearinghouse Data; Steven Lonn, Carson Phillips, Julie Martinez, Jeffrey Jenkins, Michael Filipiak – University of Michigan How to Support a Data Driven Institution; Kristin Kennedy – Arizona State University Third Time’s the Charm: How One University Finally Launched Enterprise Information Management; Beth Prince-Bradbury & Dave Pecora – Rochester Institute of Technology
4:00 pm to
5:00 pm
Netflix for Dashboards and Reports: the UR Data Analytics Portal; Mike Salisbury – University of Rochester Lightning Talks:
 
Understanding Complex Higher Education Data Through Visualization; Christopher Gardner – University of Michigan
 
Enhancing Data Transformation with Analytic Functions; Jonathan Havey – University of Buffalo
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Don’t Re-Invent the Wheel – Simplify Tableau Sources; Jeff Wixon & Sally Luoma – University of Michigan
Collaborating with Academic Library to Integrate their resources with Boston College’s Enterprise Data Warehouse; Ravindra R Harve & Lance Tucker – Boston College Advance data-informed decision making on U-M Campus; Mandie Chapman & Julie Martinez – University of Michigan
6:00 pm to
9:00 pm
Networking Dinners at Local Restaurants – Buses provided from the Foyer Entrance – looping to downtown Ann Arbor and back to the Sheraton
Tuesday, April 16, 2019 – The Ann Arbor Sheraton
Time Room Event
7:00 am to
5:00 pm
Foyer Registration and Host Desk
7:00 am to
5:00 pm
Foyer
Conference Sponsors
7:00 am to
8:30 am
Michigan Ballroom Breakfast
Time Grande I Grande II Grande III Petit I & II Michigan Ballroom III,IV,V
(Sponsors)
8:30 am to
9:30 am
Creating a Successful Data Governance System and Data Dictionary in the Cloud; Yuko Mulugetta, Mary Jo Watts, & Robert Snyder, Ithaca College Early Adventures of a Data Warehousing team in the land of Workday; Rodney Pacis – Georgia Institute of Technology Data-Driven Decision-Making: Empowering Business Through Data Visualization and Self-Service; Andrew Maliszewski & Manish Devjani – New York University HEDW Session Ask a Guru
9:45 am to
10:45 am
User Intelligence Powering Effective Business Intelligence; Sandeep Bedadala & Chase McCoy – Indiana University Bloomington Self adapting tables and integrations: How Ohio State is driving automation into it’s AWS DW; Nate Polek & Charles Venci – The Ohio State University From legacy data warehouse to the cloud; Kate Carruthers – University of New South Wales (UNSW Sydney) Princeton’s IDEAS for Higher Ed– A unique model that seeks to provide business intelligence value to administrators and contribute towards research in higher education; Drew Allen & Valerie C. M. Ching – Princeton University
10:45 am to
11:15 am
Morning Networking Break / Foyer
11:15 am to
12:15 pm
Practical Governance: Using governance and warehouse metadata to automate security and technical documentation; Joel Dosmann, August Freda, Pieter Visser – University of Notre Dame What Makes a Difference? Cloud Automation of Near Real Time Student Retention Prediction; Robert Snyder & Andrew Siefert – Ithaca College Architecting (Logically) for Student Success; Jennifer Wilken & Donna Burbank – Arizona State University When Harry met Sally, again, after 3 years of Courtship: A retrospective on how Princeton has actively supported multiple BI tools and is taking a look into their futures; Ted Bross & Amy Such – Princeton University
12:15 pm to
1:00 pm
Lunch / Michigan Ballroom
12:45 pm to
1:30 pm
HEDW Member Meeting / Michigan Ballroom
1:45 pm to
2:45 pm
For a Giant Leap Forward, First Take Two Steps Back; Ryan Schlagheck – Yale University Integrating Canvas into Your Data Warehouse, Part 1; Abby Kaplan, Rochelle Smits-Seemann – Salt Lake Community College Choosing the “Right Fit” Business Intelligence; Brenda Ulin & Dawn Moore – University of Iowa Is This a Center of Excellence for Ants?!: Starting Small and Thinking Big for Enterprise Business Intelligence; Nick Chaviano & Rodney Pacis – Georgia Institute of Technology
2:45 pm to
3:15 pm
Afternoon Networking Break / Foyer
3:15 pm to
4:15 pm
Lightning Talks:
 
Super User Communities: An Extension of the IR Office; Shelby Albers – University of Kentucky
 
Formalizing Data Governance in One Semester: A Nimble Approach at Bowdoin College; Peter Wiley – Bowdoin College
 
Mythbusters: Confronting Narratives with Data; Melissa Hartz – Colby College
Integrating Canvas into Your Data Warehouse, Part 2; Abby Kaplan & Rochelle Smits-Seemann – Salt Lake Community College
Using Tableau with WebI: From Novice to Knowledge; Sangita Raghunathan – University System of New Hampshire Cybersecurity in Higher Education Campus Environments; Irving Bruckstein – LCCC  
5:00 pm Dinner on your own
4:30 pm FUN WALK/RUN – Meet in the Foyer to board buses to Gallup Park
4:45 pm Depart for Gallup Park (20-30 min travel in traffic)
5:15 pm Depart from Sheraton to Downtown
6:15 pm Depart from Gallup Park to Sheraton or Downtown
7:00 pm to
8:30pm
Board buses from Downtown to Sheraton
Wednesday, April 17, 2019 – The Ann Arbor Sheraton
Time Room Event
7:00 am to
3:00 pm
Foyer Registration and Host Desk
7:00 am to
12:00 pm
Foyer Conference Sponsors
7:00 am to
8:30 am
Michigan Ballroom Breakfast
8:00 am to
9:15 am
Michigan Ballroom HEDW General Session – HEDW Research Findings 2019 – Member Recognition & Conference Announcements
Time Grande I Grande II Grande III Petit I & II Michigan Ballroom III,IV,V
(Sponsors)
9:30 am to
10:30 am
Spend Your Time Working With Data, Not Looking For It!; Dawn Moore & Brenda Ulin – University of Iowa Expanding SIS Data with Engagement and Learning Management; Robert Snyder & Joseph Betram – Ithaca College Lessons Learned as an Early Adopter of Cognos 11 Dashboards; Roxane Meachem – University of Regina Automating Your Data Warehouse Lifecycle Using Azure DevOps; Pete Benbow – Davidson College
10:45 am to
11:45 am
Taking Data Governance to the next level – Data quality measurement and monitoring at The Ohio State University; Laura Gast & Meenal Kharabe – The Ohio State University Workday Financial data at scale: the good, the bad and the ugly; Jason Green & Esmeralda Angel – Arizona State University 28 Months Later – A Data Modeling Journey through Knowns and Unknowns; Matthew Fields – University of North Texas A Data Architecture to implement the Student Entity; Mick Haney – Nevada State College
11:45 am to
12:45 pm
Lunch / Michigan Ballroom
 1:00 pm to
2:00 pm
Servant Leadership Training – Katie Frank, ZingTrain
*User Groups signup will be available on Monday and Tuesday of the conference. Suggested group sessions include: Workday, Student Success, Visualizations, Data Governance, and ‘To the Cloud’. User Groups * User Groups *  User Groups *
2:15 pm to
3:15 pm
User Groups * User Groups *  User Groups *

 

 

Last Updated on 2/2/18 by Shelly Turner