Data Stewardship: An Actionable Guide to Effective Data Management and Data Governance

by David Plotkin

Data stewards in business and IT are the backbone of a successful data governance implementation because they do the work to make a company’s data trusted, dependable, and high quality. Data Stewardship explains everything you need to know to successfully implement the stewardship portion of data governance, including how to organize, train, and work with data stewards, get high-quality business definitions and other metadata, and perform the day-to-day tasks using a minimum of the steward’s time and effort. David Plotkin has loaded this book with practical advice on stewardship so you can get right to work, have early successes, and measure and communicate those successes, gaining more support for this critical effort.

Genres: Technology, Nonfiction

248 pages, Paperback

First published January 1, 2013

Reviews

[Emre Sevinç · Rating 5 out of 5]

Every once in a while, you come across a book that's 100% relevant to your professional interests, clearly and lucidly explains problems, focuses on a few sub-problems instead of trying to be everything for everyone, provides straightforward solution plans to implement, metrics to be careful about, and pitfalls to avoid based on real-life experiences. I was happy that this book was just like that. I've marked a lot of pages, and highlighted a lot of sentences. Almost every few pages I said to myself "tell me about it! Yes, that's also one of the challenges I have at the company! Oh dear, that's an understatement!"

If you are working in the data management domain as a CDO (Chief Data Officer), data steward, or in any way find yourself working in a data governance / data quality / data stewardship project, this should be the first book you should read. Of course, data governance, or master data governance is a big topic in itself, just like data quality is, but what I really liked about this book is that it focuses on just the right level of detail, showing "what", "when", "how", and "with who" in a very straightforward manner. This, of course, doesn't mean things will be easy, but at least the author shows how you can plan things concretely, without drowning in hundreds of templates and checklists, and I really appreciated his pragmatic, down-to-earth approach.

If you want that looks at the bigger picture of Data Governance, I can recommend Data Governance: How to Design, Deploy and Sustain an Effective Data Governance Program" by John Ladley, and if you want to learn more about data quality, you should definitely read "Measuring Data Quality for Ongoing Improvement: A Data Quality Assessment Framework.

[Anjar Priandoyo · Rating 4 out of 5]

Practical book on data stewardship. Stewardship is a key aspect in data governance, which has roles of:

- Inspecting and improving data quality,
- Managing reference data, establishing the identification of master data records,
- Establishing survivorship rules for Master Data Management (MDM)
- Handling exceptions that come out of the MDM engine
- Specifying how data elements should be classified for security and privacy purposes
- Supporting quality assurance (QA), and overall metadata management

[Mirjam · Rating 3 out of 5]

This book is thorough, but boring.

[Dean Pereira · Rating 5 out of 5]

Ecellent book which touch real scenarios. I'm data steward and it's really useful sometimes vital.
I recommend!

[Jason Hare · Rating 4 out of 5]

Good review on an idealized data stewardship model.

[Kana · Rating 5 out of 5]

Good one!