The IBM Data Governance Unified Process: Driving Business Value with IBM Software and Best Practices
Anyone considering a data governance program within their organization will find an invaluable step-by-step methodology using IBM tools and best practices in this structured how-to. While many in the IT industry hold separate definitions in their minds, this authoritative manual defines data governance as the discipline of treating data as an enterprise asset. The intricate process of data governance involves the exercise of decision rights to optimize, secure, and leverage data. Providing a rigorous explanation of the 14 steps and almost 100 substeps to enact unified data governance, this extensive handbook also shows that the core issues to be tackled are not about technology but rather about people and process.
About the Author
Sunil Soares is the director of data governance within IBM Software Group. He is a former director of Worldwide Channels and Alliances for InfoSphere, IBM Software Group, where he worked with a number of partners about their Data Governance practices. He lives in Harrington Park, New Jersey.
Sunil’s first book The IBM Data Governance Unified Process details the fourteen steps and almost one hundred sub-steps to implement a data governance program. The book has been used by several organizations as the blueprint for their data governance programs, and has also been translated into Chinese.
- They way I learn from books is to buy a Kindle version, highlight it and then consolidate the highlights from the Kindle notes page and review and review. I have done that with more than a few Kindle editions. I have now bought two IBM books and both only allowed me to highlight a very small amount of text before it starts truncating the text it moves to the highlights page in the Kindle Cloud. This breaks my learning method and make the book much less useful to me. I am not buying any more IBM books. I just read another book on Data Governance and it let me highlight as much as I wanted and it transferred it all to the cloud notes page. That book is getting 5 stars. Its content was better and its utility was far, far better. The PMI is another organization that is overly impressed with itself and it prints its PMP handbook on grey paper to prevent copying. After I read those reviews, I got the PDF version of their document and was able to do my thing. When security overcomes utility to this level… it has gone too far.
- The book provides a good overview of IBM DGUP, with a detailed description of the steps and substeps needed to bring this framework into practice.
The appendices with practical templates for DG are pretty illustrative.
I wish that the book contains more info connect to Content-Unstructured-Governance for all aspects of Information Governance.
Another opportunity of improvement are the case studies, ie, they are not very complete, would be nice if the book contains more detailed Blueprints the application of IBM DGUP in differents types of industries and areas.
The reference products related to Information Management brand that makes the author is really interesting (IBM definitely has the suite of products needed to support a program of DG end-to-end.)
It would have been nice to have an appendix with a matrix that relates the framework IBM DGUP with the IBM products (cross-brand).
I would have liked to see a bibliographic reference too.
The cost-benefit of the book is broadly good and useful.
- Sunil has written a timely book on a hot business topic. Data governance is on the tips of executives’ tongues at companies across industries, with many not exactly sure what’s involved.Sunil’s approach is distinctly IBM-esque–no surprise there, IBM is in the title–and anyone interested in understanding more about the tactics behind data management would be well-advised to view IBM’s approach. Sunil offers a step-by-step process that is technology-enabled. The book is also a quick and easy read for the layperson just rolling up his or her sleeves on a data management project for the first time.
I would think that this book would get traction even within IBM as a practitioner’s guide to establishing business terms and rules for data. That in itself should make it a best-seller. But you should read it, too!