Listen to Laura Sebastian-Coleman, author of the book Measuring Data Quality for Ongoing Improvement: A Data Quality Assessment Framework, and I discuss bringing together a better understanding of what is represented in data, and how it is represented, with the expectations for use in order to improve the overall quality of data. Our discussion also includes avoiding two common mistakes made when starting a data quality project, and defining five dimensions of data quality.
Laura Sebastian-Coleman has worked on data quality in large health care data warehouses since 2003. She has implemented data quality metrics and reporting, launched and facilitated a data quality community, contributed to data consumer training programs, and has led efforts to establish data standards and to manage metadata. In 2009, she led a group of analysts in developing the original Data Quality Assessment Framework (DQAF), which is the basis for her book.
Laura Sebastian-Coleman has delivered papers at MIT’s Information Quality Conferences and at conferences sponsored by the International Association for Information and Data Quality (IAIDQ) and the Data Governance Organization (DGO). She holds IQCP (Information Quality Certified Professional) designation from IAIDQ, a Certificate in Information Quality from MIT, a B.A. in English and History from Franklin & Marshall College, and a Ph.D. in English Literature from the University of Rochester.
Measuring Data Quality for Ongoing Improvement
Additional listening options:
Win a Copy of the Book
Laura Sebastian-Coleman wants to give one lucky OCDQ Radio listener a free copy of her book Measuring Data Quality for Ongoing Improvement: A Data Quality Assessment Framework.
Here is how the book contest will work:
(1) Book Contest Question — Name one literary reference used in this podcast to describe data’s representation of the real world.
(2) Book Contest Deadline — No later than September 30, 2013, Email Jim Harris with your answer to the contest question.
(3) Book Contest Winner — In October 2013, one winner will be randomly selected from emails containing a correct answer, and Laura Sebastian-Coleman, or her publisher, will email the winner requesting a shipping address for the free copy of the book.
Related OCDQ Radio Episodes
Clicking on the link will take you to the episode’s blog post:
- Organizing for Data Quality — Guest Tom Redman (aka the “Data Doc”) discusses how your organization should approach data quality, including his call to action for your role in the data revolution.
- Data Driven — Guest Tom Redman (aka the “Data Doc”) discusses concepts from one of my favorite data quality books, which is his most recent book Data Driven: Profiting from Your Most Important Business Asset.
- Studying Data Quality — Guest Gordon Hamilton discusses the key concepts from recommended data quality books, including those which he has implemented in his career as a data quality practitioner.
- The Blue Box of Information Quality — Guest Daragh O Brien on why Information Quality is bigger on the inside, using stories as an analytical tool and change management technique, and why we must never forget that “people are cool.”
- Redefining Data Quality — Guest Peter Perera discusses his proposed redefinition of data quality, as well as his perspective on the relationship of data quality to master data management and data governance.
- The Johari Window of Data Quality — Guest Martin Doyle discusses helping people better understand their data and assess its business impacts, not just the negative impacts of bad data quality, but also the positive impacts of good data quality.