Laura Sebastian-Coleman, Ph.D., VP Data Management and Governance at Prudential Financial, has worked in data management since 2003. She has implemented data quality metrics and reporting, established data consumer training programs, and led working groups to establish data standards in support of strategic data governance goals.
She is the author of Measuring Data Quality for Ongoing Improvement (2013), Navigating the Labyrinth: An Executive Guide to Data Management (2018), Meeting the Challenges of Data Quality Management (2022), and Insurance Data Quality and Trusted Information (2025), a textbook for the Insurance Data Management Association’s (IDMA) professional certification.
Laura was production editor for the Data Management Association (DAMA) Body of Knowledge (The DAMA-DMBOK2), for which she received DAMA’s award for Contributions to the Data Management Profession (2018) and the DAMA New England award for Excellence in Data Management (2018). An advisor to DAMA New England (2018 – present), she has served as DAMA International Publications Officer (2015-2018), and IAIDQ Director of Member Services (2009-2011). In 2015, she received IAIDQ’s Distinguished Member award.
She holds a BA from Franklin & Marshall College, a Ph.D. from University of Rochester (NY), and a Certificate in Information Quality from MIT. An active professional, she is a member of the DAMA New England Board of Directors and a regular presenter at industry conferences.
Meeting the Challenges of Data Quality Management outlines the foundational concepts of data quality management and its challenges. The book enables data management professionals to
Organizations that want to get value from their data need to manage that data well. But to most executives, data management seems obscure, complicated, and
The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You’ll start with general concepts of measurement
