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 ***Available on the guidebook app – Search for 2019 HEDW Conference ***
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 5:00 pm |
Lobby | 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 – Kevin Hegarty, Executive Vice President and Chief Financial Officer |
| 7:30 pm to 9:45 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 |
Lobby | 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, Kendal Kosta-Mikel, Purdue University – West Lafayette | Data Warehouse & Dashboard for Banner Headcount Reporting: A Tale of Firsts; Lighthouse Computer Software |
| 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 MacKenzie, Vasudha Ramani, University of Michigan | 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 | 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 | The Journey Continues – Lessons Learned in Automation at Cornell University; Christopher Grippin – Wherescape |
| 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) – The Ohio State University, Sarah Bauer – Purdue University, Amy Schult – University of Minnesota | Machine Learning and Decision Intelligence: Predicting Student Retention and Drivers; Lityx |
| 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 | Data Visualization: How to Use It For Good Or Evil; Matthew Pickus, 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; Dave Pecora – Rochester Institute of Technology | Just In Time Data Management; Brenda Reeb – iData |
| 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 Don’t Re-Invent the Wheel – Simplify Tableau Sources; Jeff Wixon & Sally Luoma – University of Michigan |
Collaborating with Academic Library to Integrate their Data with Boston College’s Enterprise Data Warehouse; Ravindra R Harve – Boston College | Advance data-informed decision making on U-M Campus; Mandie Chapman & Julie Martinez – University of Michigan | Data Integration in the Cloud Era: Case Studies, Tips, and Tricks on How to Succeed; Performance Architects |
| 6:00 pm to 9:30 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 |
Lobby | 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 |
Data Governance: The Journey through the Wild West, Tropical Jungle and Every Other Terrain; Entigence |
| 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 | But They Told Us That Would Never Happen: Automated Data Quality Strategies and Tips; John Mobley – University of Washington | 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 | Driving Meaningful Change Using a Comprehensive Data Platform; Scott Flory – ASR Analytics, Anthony Spagnuolo & Michael Arabitg – County College of Morris |
| 10:45 am to 11:15 am |
Morning Networking Break / Foyer |
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| 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 – 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 | Gaining a Holistic View of Data for Analytics Insights; Eddie Carter – Informatica, Brian Greminger – University of Michigan, Kevin Pochapin – MasTech |
| 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, Kathleen Broderick – 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 | Self-Service Business Intelligence – The New Frontier; Public Insight |
| 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, Richard Hartwell – Harford College | What’s New in Tableau for Higher Education; Tableau |
| 4:30 pm | FUN WALK/RUN – Meet in the Foyer to board buses to Gallup Park |
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| 6:00 pm | Board buses to return from Gallup Park to Sheraton | ||||
| 6:00pm to 8:25pm | Board buses to Downtown looping back to Sheraton | ||||
| Wednesday, April 17, 2019 – The Ann Arbor Sheraton | |||||
| Time | Room | Event | |||
| 7:00 am to 3:00 pm |
Lobby | 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 – 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 | Microsoft Briefing: From Analytics Reporting to Institution-Wide Strategy; Microsoft |
| 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 | Autonomous Data Warehouse Platform – Automations that Let You Focus on Analytics; Scott Herman – Oracle |
| 11:45 am to 12:45 pm |
Lunch / Michigan Ballroom | ||||
| 1:00 pm to 2:00 pm |
Servant Leadership Training – Katie Frank, ZingTrain | ||||
| 2:15 pm to 3:15 pm |
*Birds of a Feather topics and room assignments will be determined during lunch on Wednesday. Typical group sessions include: Workday, Student Success, Visualizations, Data Governance, and ‘To the Cloud’ | BOF | BOF | BOF | BOF |
Last Updated on 2/2/18 by Shelly Turner