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Mar 6 2024

Data-Centric: How Big Things Get Done (in IT)

I read “How Big Things Get Done” when it first came out about six months ago.[1] I liked it then. But recently, I read another review of it, and another coin dropped. I’ll let you know what the coin was toward the end of this article, but first I need to give you my own […]

Crossing the Data Divide: Framework for Selling Data Initiatives

Deja Vu All Over Again Something interesting has been happening to me over the last few months that I’ve not experienced in a while. Smart and experienced CIOs and their data leaders have been asking me for input regarding how to sell the value of a data program. The question is a clear sign of […]

The Book Look: Data Strategies for Data Governance

What makes a data book great? Our time is valuable, so a good data book should be concise and practical. It should show us how to do something, step by step, so we can apply the techniques to reinforce and always remember. The experiences of the author should shine through in every chapter. It should […]

Legal Issues for Data Professionals

The catapulting of data to become a new class of business assets and the rapid evolution of generative and non-generative AI requires the integration of data and law for success in today’s business environment. This new TDAN column covers this integration, and, in particular, addresses the legal issues that data professionals need to know to […]

Eyes on Data: Importance of Data Governance When Implementing AI/ML

Artificial Intelligence (AI), Machine Learning (ML) and Large Language Models (LLM) have turned the world on its head. From finance to manufacturing to pharmaceuticals to retail, every industry is jumping on the AI/ML bandwagon. And for good reason. AI/ML has the ability to improve efficiency, drive automation, and shorten delivery cycles. AI/ML applications can absorb […]

Data Speaks for Itself: Placing Data Governance in Context

Yes, let’s talk about data governance, that thing we love to hate. I just attended the 17th Annual Chief Data Officer and Information Quality Symposium in July, and there, I heard many creative suggestions for renaming data governance. Calling it data enablement, data trust, data utilization, and many other names to try and avoid the […]

The Art of Lean Governance: Need for an Integrated Governance Framework

At a recent Data Governance conference, we had the opportunity to review several leading governance technology solutions. In their own right, these solutions were impressive, offering a wide spectrum of business and technology capabilities. As practitioner of Lean Governance. we are forever on the hunt for solutions that drive total data awareness across the enterprise. […]

All in the Data: Becoming a CDO When There is No Role

I work with a lot of organizations that do not (yet) have a person in the role of Chief Data Officer (CDO) or Chief Data and Analytics Officer (CDAO). I also work with a significant number of people in these organizations who have the desire to be elevated into one of these roles. The latter […]

Data Professional Introspective: Conducting a DCAM Assessment

My company led a Data Management Assessment for a government agency this spring, using the Data Management Capability Assessment Model (DCAM), and delivered the final report at the end of May. In my last column comparing the DCAM to the DMM, I said that I’d share my observations with you so that you can get […]

Crossing the Data Divide: Closing Gaps in Perception of Data as Corporate Asset

It’s my great pleasure and honor to begin as a columnist for TDAN.com. TDAN.com has a long and distinguished record of giving voice to ideas in the data space and I will do my best to continue that tradition. The Crossing the Data Divide column will be aimed at data leaders. That is to say, […]

The Book Look: Non-Invasive Data Governance Strikes Again

From Bob Seiner’s first book, Non-Invasive Data Governance, we learned how to get the benefits of data governance without making major changes to our job roles or functions. We avoid the “command and control” approaches and still have people responsible for the organization’s data without reorgs or undue employee stress. That’s probably why Non-Invasive Data […]

NIDG Perspective: A Trusted Trainer for Data

This column is a stand-in for a new column that will be announced for the 3rd month each quarter starting next cycle. I am pleased to fill in essays like this from time-to-time that provide additional perspective to the Non-Invasive Data Governance approach. In the discipline of data management, adopting the non-invasive approach to data […]

Data is Risky Business: Data Ethics and Governance in the Age of LLMs

In the last few months, we have seen the wave of Artificial Intelligence break on the shores of wide-scale business adoption and mainstream media coverage of Large Language Models, most famously ChatGPT. While these technologies have immense potential to benefit organisations and society, they also bring with them an equal, if not greater, risk of […]

Data Centric Revolution: Is Knowledge Ontology the Missing Link?

You would think that after knocking around in semantics and knowledge graphs for over two decades I’d have had a pretty good idea about Knowledge Management, but it turns out I didn’t. I think in the rare event the term came up I internally conflated it with Knowledge Graphs and moved on. The first tap […]

Eyes on Data: An Approach to Measure Data ROI

Justifying any significant business investment is challenging. For data managers, the struggle is especially familiar. The difficulty is convincing decision makers to invest in data when measures of data’s value either do not exist or feel too ambiguous to estimate. As digital transformation accelerates, interest in frameworks for linking data to monetary measures grows.Connecting data […]

The Art of Lean Governance: Achieving Enterprise Data Awareness

Achieving Enterprise Data Awareness is a natural maturity progression within the governance domain. At this stage, companies rightly see Data Governance and Information Governance as a large metadata puzzle. Governance implementations can be defined as a series of business rules (metadata) using terms such as system of record, subject area, Data Owners, and Data Stewards. […]

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