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Date + Time Sessions Speakers
08:30 AM - 11:45 AM
T7: A Roadmap for Building a Successful Data Quality Program John R. Talburt, University of Arkansas at Little Rock
01:30 PM - 04:45 PM
T12: Building Data Culture: Why, What, and How Thomas Redman, Data Quality Solutions
01:30 PM - 04:45 PM
T13: Getting Data Quality Right for Analytics and Machine Learning Bryan Lee, GIC Private Limited
05:00 PM - 05:45 PM
Pioneering Governed Data Quality Regis Deshayes, ZEISS Digital Partners
Stefan Hilbert, Carl Zeiss AG
07:35 AM - 08:20 AM
The Six Core Areas of the DGPO Data Governance Framework, the Foundation for Best Practices Kira Chuchom, DGPO
10:15 AM - 11:00 AM
What Did Your Data Do Last Night? A Deep Dive into Trusting Your Data and AI Anne Ratcliffe, IBM
11:15 AM - 12:00 PM
Data Quality Twists and Turns – How to Move Forward? Sukanya Gopinath, Royal Bank of Canada
Tony J Basil, Royal Bank of Canada
03:45 PM - 04:30 PM
Case Study: How the Implementation of Data Standards Can Lead to Better Data Quality Lauren A Cook, Mecklenburg County Public Health
Jonathan L Ong, Mecklenburg County Public Health
08:15 AM - 09:00 AM
SIG: Data Quality for Healthcare Organizations (Especially with Non-Technical Users) Becky Lyons, First San Francisco Partners
10:45 AM - 11:15 AM
5 Factors That Cause Data Quality Projects to Fail (And How to Overcome Them) Michael M. Ott, Innovative Systems, Inc.
11:45 AM - 12:30 PM
Putting the Ducks in a Row: Going from Low to High Quality Data Valentina Niklasson, Volvo Penta
Håkan Edvinsson, Informed Decisions Consulting
01:45 PM - 02:30 PM
Enabling Automated Data Quality Management with a Data Catalog Holly Maykow, Enterprise Knowledge LLC
Fernando Aguilar Islas, Enterprise Knowledge
02:45 PM - 03:30 PM
Next Gen Data Quality Monitoring April Reeve, Reeve Consulting
08:30 AM - 04:00 PM
S4: Ten Steps to Quality Data (Continues to Friday) Danette McGilvray, Granite Falls
08:30 AM - 04:00 PM
S4: Ten Steps to Quality Data (Continues from Thursday) Danette McGilvray, Granite Falls
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