Turn Around! Organizational Perceptions and the Investment in High Quality Data

Producing and managing high quality data depends on collaboration between people who are responsible for executing business processes and the IT staff who support these processes. But too often DQ management is perceived as an IT function. This has been recognized for decades, but we still have trouble changing organizational perceptions to improve this relationship. How can we raise organizational knowledge of the critical role that data plays and, with this, the benefits of investing in higher quality data? The Panel will briefly introduce elements to raise organizational knowledge and change organizational perceptions of data.

Bringing a non-technical perspective to data quality
The key success factors: Business leaders, IT partners, data pain points, the role of tools
Roadblocks and how to overcome them
Getting executive support

Chris Sheridan has been in the financial services industry for his entire 33-year career. He’s led both IT and Operations businesses with a concentration on Data Management disciplines. Favorite areas of focus include: data modeling, database design, and data quality control. Chris has his MBA from Temple University and also holds both PMP and Green-belt certifications. Currently, Chris is expanding the data governance and stewardship practice within the Client Services Group of TIAA.

Laura Sebastian-Coleman, Data Quality Center of Excellence Lead at Cigna, has worked on data quality in large health care analytic data warehouses since 2003. Cigna is a global health service company dedicated to helping people improve their health, well-being and sense of security. Laura has implemented data quality metrics and reporting, launched and facilitated data quality working groups, and contributed to data consumer training programs. She has led efforts to establish data standards and to manage metadata for large analytic data warehouses. In 2009, she led a group of analysts at Optum in developing the original Data Quality Assessment Framework (DQAF) which is the basis for her book "Measuring Data Quality for Ongoing Improvement" (Morgan Kaufmann, 2013). She is the DAMA Publications Director and is the 2015 recipient of the IAIDQ Distinguished Member Award.