Practical Data Stewardship

Data stewardship is rapidly becoming the most essential practice in modern data management. As adoption of AI accelerates, active and agile management of data is critical. AI doesn’t work without data, and it doesn’t work well without well-managed data. Data quality, of course, is important. But that’s only the beginning. Metadata, compliance, ethics, responsible use, lineage tracking, transparency, explainability ... the list goes on. Now, more than ever before, we need to weave data stewardship into the fabric of daily business activities.
In this webinar, I’ll overview my recent book, Data Stewardship in Practice: From Policies to People, From Roles to Results. The title – Data Stewardship in Practice – emphasizes the idea that data stewardship as abstract concept has little value, and that data stewardship as another form of bureaucracy may actually be harmful. Practical data stewardship is about translating data strategy into day-to-day tactics, and translating governance policies into day-to-day practices when working with data. Thus, the subtitle. To make stewardship work well, let’s focus more on people than on policies, and focus more on results than roles.

Speaker Bio:
Dave Wells is a data management consultant and educator with experience across a broad spectrum of data management processes and practices. As a consultant he provides advice, direction, and guidance for data architecture, data quality, data governance, data integration, and data interoperability.

As an educator, he is the Director of Education and an instructor at eLearningCurve and instructor for a variety of courses at Dataversity. Several decades of information systems, data management, and business management experience give Dave a well-balanced perspective about the synergies of business, information, data, and technology. Knowledge sharing and skills building are Daveʼs passions, carried out through consulting, speaking, teaching, and writing.