Data-governance programs focus on authority and accountability for the management of data as a valued organizational asset. Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization. Non-Invasive Data Governance™ focuses on formalizing existing accountability for the management of data and improving formal communications, protection, and quality efforts through effective stewarding of data resources.
Non-Invasive Data Governance will provide you with a complete set of tools to help you deliver a successful data governance program. Learn
The author provides solid examples of conveying the value of Data Governance to the higher management, and showing how DG ties to the business value at the enterprise level. This is important at the beginning of a DG program, and also for sustaining it, introducing it at lower levels, etc. because unless enough care is taken, there's a high risk of resistance from various departments and people (hence the author's focus of being non-invasive from the start).
I liked the The Data Governance Test in which various dimensions and aspects of DG program are clearly laid out in the form of testing where your company is in this journey, such as:
Risk Management Data Compliance & Regulatory Control Information Security & Data Classification Metadata Management Data Quality Management Business Intelligence and Data Integration Master Data Management Data Stewardship
Another artifact I found useful as a Data Officer is the Common Data Matrix, a two-dimensional grid in the form of a spreadsheet that cross-references data of an organization with the individuals who define, produce, and use data. This spreadsheet also registers the DSMEs (Data Subject Matter Experts), and SSMEs (System Subject Matter Experts), because these are the people that can become involved if and when necessary in governance activities pertaining to the data they know.
The book also does a good job of identifying strategic, executive, tactical, and operational layers, showing how they are connected, and what the responsibilities of people are in each of these layers. I think this knowledge is important for establishing successful DG, because you should be very conscious about what you can expect from which roles in a company.
Apart from these positive points, the book does not add a lot of detail in terms of concretely running a DG program. As I wrote in the beginning, it is a quick introductory text; it's Index is only two pages, and it doesn't have References or Further Reading section at the end. You'll definitely need to consult other sources in your DG journey.
It was a gentle introduction to Data Governance which was what I wanted. Particularly liked the noninvasive emphasis of formalizing processes that already exist and minimizing added work. Easy to remember and a significant idea.
Few tools at the end and a walkthrough of a pyramid of suggested roles.
Examples weren’t that informative, kind of felt like this could’ve just been a few web articles… but net win.
I wish I had read this before struggling through DAMA-DMBOK, it is a much more gentle introduction into a still fairly dry subject area. I like the key concept of making a DG program less daunting by showing it is mostly about formalizing what people are already doing in their organization.
What I liked less is the "toolset" presented at the end of the book, it seems Seiner is deliberately oversimplifying to get across his point. As others have noted, references to other literature or sources are sparse at best.
Pros: - concept (non-invasive) makes sense and should increase chance of successful implementation - contains some useful models & templates, especially in the latter 1/2 of the book
Cons: - the writing is a cross between "student going for word count" & "stream of consciousness blogger" - the cited "case studies" are vague to the point of uselessness - lots of wasted time with unnecessary preamble, repetition, and summaries
This is my favourite book about datamanagement. It the most practical I encountered and respectful to all people involved in the process and their practices as well. The competition is not great: most books about datamanagement are boring, have a dreadful set of fonts and layout and a lack of practical applicability.
This book is a perfect starting point for anyone who needs to implement data governance. It lacks specifics on how to implement; it’s mostly focused on best practices the author has accumulated over their career. I would recommend this to someone who needs to organize their thoughts but would search for industry best practices and artifacts when implementing
I liked the approach of non-invasive Data Governance. Tips and tools shared in this book are beneficial if you work in an organization where having a formal Data Governance structure can be challenging.
So so boring. And dry. Dry boring. But super informative, which is why it has 2 instead of 1 stars. If it's really hard to read, it doesn't really matter if it's got good content cause you may not read it.
Great hand book for anyone undertaking the arduous task of developing a data governance strategy. I found the book easy to move through and it made sense in terms of overall structure.
Picked this up as a soft introduction to DG concepts before diving into DMBOK. I enjoyed that its filled with guidelines that are refreshingly practical. It offers a holistic view of DG and is quite emphatic to the business perspective. At times it could feel a bit too idealistic, especially in the part about roles and responsibilities - but still fairly generalizable. Could be a bit shorter. All in all, it ultimately left me with a better understanding of DG, and I feel more comfortable and ready to put it into practice. Recommend.
Certainly recommended to organizations, who are planning or already engaging data governance initiatives. Good overall impression from book, especially part about DG tools. Less interesting reading in case of examples of DG standards, policies, etc. No references to any DG software approaches. No information about DG implementation roadmap and DG glossary((
Complete and objective assessment for building an organic data governance process.
Currently administering a master data management system. This book provided concrete guidance and language. I recommend this book as essential if you are part of the DGT