Data & Information Quality Track

Sponsored by IAIDQ.  Featured Speakers in this track include:
 
This Data & Information Quality track at EDW is conducted under the guidance of the International Association for Data and Information Quality (IAIDQ), which has reviewed and selected the speakers.  The tutorials will provide detailed advice on developing a comprehensive Data Quality program based on standard industry dimensions, and then sustaining your efforts by measuring and managing key metrics over time.  The case studies are overflowing with Best Practices and hard won experience from some of the foremost organizations deploying information quality processes effectively today, and you'll get forward looking advice from experts in areas including privacy compliance, strategic quality assessment and quality scoring. 

Sponsored By:

IAIDQ

The Data & Information Quality Track has been developed and selected by the International Association of Information and Data Quality (IAIDQ).

Attendance discounts are available to IAIDQ members (contact registration@dataversity.net for details).



DATE + TIME SESSIONS SPEAKERS
Monday
08:30 AM - 11:45 AM
AM4: Industry Standard Dimensions of Data Quality Dan Myers, DQMatters
 
Monday
12:00 PM - 12:30 PM
Cloud-Delivered Data Quality – Delivering Business Value with Requisite Speed Keith Kohl, Trillium Software
 
Monday
01:30 PM - 04:45 PM
PM4: Data Quality Assessment and Measurement Laura Sebastian-Coleman, Cigna
 
Tuesday
10:15 AM - 11:00 AM
The Data Quality Startup: Launching and Sustaining an Enterprise Data Quality Program Eyal Almog, MetLife
 
Tuesday
02:15 PM - 02:45 PM
Why Doing the Data Dirty Work is Key to Predictive Analytics Success Lisa C Dodson, SAS
 
Wednesday
07:30 AM - 08:15 AM
Evaluating Quality of Clinical Data for Use in Healthcare Research Christiana Boehmer, HealthCore, Inc.
 
Wednesday
08:30 AM - 09:15 AM
Strategic Data Quality - Your Best Alternative to Failing at Perfection Anthony J. Algmin, Uturn Data Solutions
 
Wednesday
10:45 AM - 11:30 AM
Applying Data Status and the Danger of Overloading – A Lesson Learned Lisa Cutler-Farwig, Schlumberger
 
Thursday
08:30 AM - 09:15 AM
IQScoring: How to Assess and Advance Information Quality in Your Organization Rodney Schackmann, Intel
 
Thursday
09:30 AM - 10:15 AM
Case Study of the DMM: Protecting Your Economy with Data Management Kenneth Lamar, Federal Reserve Bank of New York
 
Melanie Mecca, CMMI Institute
 
Thursday
01:15 PM - 04:30 PM
S4: Increasing Project Success Through Data Quality and Governance Danette McGilvray, Granite Falls Consulting Inc.