Data Governance: How to Design, Deploy and Sustain an Effective Data Governance Program (The Morgan Kaufmann Series on Business Intelligence) 1st Edition

As with most of my book reviews, I’ll approach the write-up from a pragmatic perspective. That is, as most authors do provide detailed explanations, background and theory describing each of their topics and subject areas … what are the practical examples of artifacts, forms/templates, questionnaires, methodologies etc., which a reader could use in either in, day-to-day operations, management or project delivery responsibilities?I’ll list some (!) of the major takeaways I find (with thoughts and rationale), which would make this book worth purchasing. Note: In cases where the authors may not have soft copies of the artifacts, I may have mind maps (Mindjet), MPP or .doc/XLS files of the major points that align with the book. You typically will need the book to understand the detailed explanations. If you want copies, please send me an email to: [email protected].• Process overview: all the steps, detail activities and explanations surrounding data governance including summary table stating objectives, purpose, inputs, tasks, techniques, tools, outputs and outcomes.• E.g. strategy maps for DG• E.g. business case for DG• DG principles: foundational components• organizational functions as they pertain to DG• organizational functions as they pertain to IM• e.g. RACI charts• EIM roadmap for DG• Metrics for DG• DG taxonomy for business elements• Questionnaire: Change capacity assessment• Questionnaire: Information maturity assessment• Questionnaire: collaborative assessment – are you going to be successful?• Charter: for DG• Questionnaire: leadership alignment assessment• E.g. communications plan• E.g. DG training plan• Checklist: post roll-outBoth as the Director, Enterprise Infrastructure for a global contract manufacturer, and as a Programme Director for a large government contract, I found this book instrumental as the foundation for my work and extremely comprehensive. I recommend it as a “buy”.

I was recently put in charge of data quality at our rapidly growing 200-person online business. As a result I've done a lot of online research on the subject and purchased several books. IMO, Ladley's book is the best reference on the market. You won't find a lot of fluff in the book. But, you will find a lot of step-by-step advice on how to get started, how the program should be organized, how to define the scope of the project, key roles to make it happen, etc.The book is great for both large and small companies.If you are an executive and want the overview of how it should work and should be staffed, read the first 4 chapters (out of 14). If you are the guy or gal that needs to make it happen, read the entire book.

While the text content was excellent, well-organized and thorough, the latter half of the book had inconsistencies between the main text and supporting materials located in the back of the book. I didn't give it 5 stars because some sections of the Phase Activity Outputs table data found in Index 1 do not easily match back to Chapter Activity Summary Table Outputs for corresponding Phase Activities. Took more manual reconciliation and reordering to figure out what was what than I think should be encountered in a published text of this caliber. Also, the book illuminates the deficiencies in DMBOK related to organizational change management, but would have really liked a more detailed look into the change management framework John employs within DG.

This author been part of data university data governance conference. I hrard his presentation. Hes a straight shooter. Clear & percise. The book goes into the 8 steps needed to establish a data governance program. It's as precise & provides example documentation to help along the way.

Language is too verbose. Some of the stuff is redundant, lightweight wrapped in a lot of words.

John's perspective is based on reality. The blend of human and data behavior is a critical component to success in the data governace effort, John weaves this nuance into the approach. The book is well organized and I found it an irreplaceable guide and referance in the establishment of my successful data governace practice. Buy it.

Data governance isn’t something that excites many people but analytics results are only as trustworthy as the underlying data. Governance of that data is necessary to ensure the quality. The author understands the subject and addresses it from the perspective of getting you organization to understand and accept the necessity of data governance as well.

This is the worst eBook Ever.It contains diagrams of all sizes. One would expect this in a technical and information technology book.Unfortunately, there is no way to get any benefit out of extensive information structured in various tables and diagrams.The publishers and the author did not care to publish this information in a way where the tables were clearly visible with proper aspect rations. Additionally there is no way on the my Kindle reader on the PC to zoom to these multi-size graphics.What a sad waste!