Big and Little Data Quality

DATE: February 16, 2016

TIME: 2 PM Eastern / 11 AM Pacific 

PRICE: Free to all attendees.

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About the Webinar

While technological innovation brings constant change to the data landscape, many organizations still struggle with the basics: ensuring they have reliable, high quality data. In health care, the promise of insight to be gained through analytics is dependent on ensuring the interactions between providers and patients are recorded accurately and completely. While traditional health care data is dependent on person-to-person contact, new technologies are emerging that change how health care is delivered and how health care data is captured, stored, accessed and used. Using health care as a lens through which to understand the emergence of big data, this presentation will ask the audience to think about data in old and new ways in order to gain insight about how to improve the quality of data, regardless of size.

About the Speaker

Laura Sebastian-Coleman

Data Quality and Data Standards Center of Excellence Lead, Cigna

Laura Sebastian-Coleman

Laura Sebastian-Coleman, Ph.D., Data Quality and Data Standards Center of Excellence Lead at Cigna, has worked on data quality in large health care analytic data warehouses since 2003. She has implemented data quality metrics and reporting, launched and facilitated data quality working groups, contributed to data consumer training programs, and 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). An active professional, Laura is DAMA Publications Director. In 2015 she received IAIDQ’s Distinguished Member Award for her contributions to the International Association for Information and Data Quality.


Data Education for Business and IT Professionals