This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
As someone deeply involved in shaping datastrategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. My work centers around enabling businesses to leverage data for better decision-making and driving impactful change.
You may already have a formal DataGovernance program in place. Or … you are presently going through the process of trying to convince your Senior Leadership or stakeholders that a formal DataGovernance program is necessary. Maybe you are going through the process of convincing the stakeholders that Data […].
Getting the business engaged with datagovernance can sometimes be a challenge. At NAIT (the Northern Alberta Institute of Technology), we have put together a process to visually identify and connect our reports to DataGovernance. The […].
I published an article a few months back that was titled Where Does DataGovernance Fit in a DataStrategy (and other important questions). In the article, I quickly outlined seven primary elements of a datastrategy as an answer to one of the “other important questions.”
The purpose of this article is to provide a model to conduct a self-assessment of your organization’s data environment when preparing to build your DataGovernance program. Take the […].
As a frequent reviewer of data and strategy books, I am always interested in understanding authors’ perspectives on datagovernance. Two recent books have ideas that are worthy of datagovernance professionals: “Rewired” by Eric Lamarre, Kate Smaje, and Rodney W. Wixom, Cynthia M. Beath, and […]
What is DataGovernance and How Do You Measure Success? Datagovernance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? But what […].
Unfortunately, a lot of datagovernance programs fail and there are many reasons why. The silver lining is that there are great lessons from these failures that we can learn from and make sure that we will avoid them in our datagovernance program.
There is… but one… DataGovernance. Maybe you are one who believes that there is something called Master DataGovernance, Information Governance, Metadata Governance, Big DataGovernance, Customer [or insert domain name here] DataGovernance, DataGovernance 1.0 – 2.0 – 3.0,
I debated over whether to title this articleDataGovernance as a Puzzle … or DataGovernance is a Puzzle. I selected the first option and decided to use this article to provide a comparison of datagovernance and good puzzles; rather than […].
Recording requirements for success is an important first step toward demonstrating the value of a DataGovernance program. Practitioners know that DataGovernance requires planning, resources, money and time and that several of these objects are in short supply.
In todays fast-paced business world, datagovernance often feels like an insurmountable challenge. While teams focus on product development, innovation, and revenue generation, governance can seem like an abstract and expensive luxury. Organizations are missing critical insights and […]
A common misconception among c-level executives is that governance and management of data is the same thing other than in capital letters. Below, we will explore the main differences between Data Management […].
A question was raised in a recent webinar about the role of the Data Architect and Data Modelers in a DataGovernance program. My webinar with Dataversity was focused on DataGovernance Roles as the Backbone of Your Program.
Yet, while businesses increasingly rely on data-driven decision-making, the role of chief data officers (CDOs) in sustainability remains underdeveloped and underutilized. However, embedding ESG into an enterprise datastrategy doesnt have to start as a C-suite directive.
Non-Invasive DataGovernance (NIDG), like the popular Netflix series Stranger Things, offers a mysterious and complex reality for organizations to navigate. I am often asked how it is possible to navigate these realities and implement NIDG in the real world. Just as the characters […]
However, if there is no strategy underlining how and why we collect data and who can access it, the value is lost. Ultimately, datagovernance is central to […] Not only that, but we can put our business at serious risk of non-compliance.
In my discussions with CIOs over the last several years, they have repeatedly told me that they strongly dislike traditional datagovernance. And asked at times, could they just be data custodians.
DataGovernance is defined as the execution and enforcement of authority over the management of data and data-related assets.1 1 The terms “Data Mesh” and “Data Fabric” are the most recent examples of names being given to something that describes techniques to help organizations manage their data.
In my last article I suggested that many organizations have approached DataGovernance incorrectly using only centralize datagovernance teams and that approach is not working for many.
It has been eight years plus since the first edition of my book, Non-Invasive DataGovernance: The Path of Least Resistance and Greatest Success, was published by long-time TDAN.com contributor, Steve Hoberman, and his publishing company Technics Publications. That seems like a long time ago.
One of the first steps organizations take when preparing to deliver a datagovernance program is to determine where in the organization datagovernance should be placed. Or in other words, who should own datagovernance?
I delivered this series of questions focused on relating their need for an over-arching datastrategy with the […]. The purpose of the Q&A was to assist her with determining the most appropriate messaging to share across the company.
There is … but one … DataGovernance. Maybe you are one of those that believe that there is something called Master DataGovernance, Information Governance, Metadata Governance, Big DataGovernance, Customer [or insert domain name here] DataGovernance, DataGovernance 1.0 – 2.0 – 3.0, […].
Organizations faced with the delivery of formal DataGovernance or Information Governance programs recognize that there are several challenges they will face when getting started and as the program is operationalized. The challenges are not the same for all organizations.
Organizations that have implemented DataGovernance programs, or Information Governance, Data/Information Management or Records Management programs will be the first to tell you that these data disciplines are not easy to operationalize. Data Management requires that the organization care for data as an asset.
The goal of datagovernance is to ensure the quality, availability, integrity, security, and usability within an organization. Many traditional approaches to datagovernance seem to struggle in practice; I suspect it is partly because of the cultural impedance mismatch, but also partly because […].
When it comes to executing a datagovernancestrategy, there is no standard approach. Of course, there are common methods and tools, but it’s up to each company to decide how best to implement datagovernance initiatives to achieve the optimum business value, and who is best placed to take the lead.
Domain-specific datagovernance has been of focus lately in various industries. In this article, I simplify what it means and how it is done. What is DataGovernance? If you ask twenty people in a room what datagovernance is, you might get twenty different answers.
What do all these disciplines have in common? Continuous improvement. Simply put, these systems pursue progress through a proven process. They make testing and learning a part of that process. And they continuously improve by integrating new insights into future cycles.
Migrating data to the public cloud offers a wide range of benefits for enterprises; data teams can more easily access their data, write, and test data science models, evaluate new data platforms and test applications, run POCs, and deploy in production.
The third and final part of the Non-Invasive DataGovernance Framework details the breakdown of components by level, providing considerations for what must be included at the intersections. The squares are completed with nouns and verbs that provide direction for meaningful discussions about how the program will be set up and operate.
In October 2020, the Office of the Comptroller of the Currency (OCC) announced a $400 million civil monetary penalty against Citibank for deficiencies in enterprise-wide risk management, compliance risk management, datagovernance, and internal controls.
Unfortunately a lot of datagovernance programs fail and there are many reasons why. The silver lining is that there are great lessons from these failures that we can learn from and make sure that we will avoid them in our datagovernance program.
If you are just starting out and feel overwhelmed by all the various definitions, explanations, and interpretations of datagovernance, don’t be alarmed. Even well-seasoned datagovernance veterans can struggle with the definition and explanation of what they do day to day.
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 […]
The reversal from information scarcity to information abundance and the shift from the primacy of entities to the primacy of interactions has resulted in an increased burden for the data involved in those interactions to be trustworthy.
I read with great interest a report from Grant Thornton and the Data Foundation that is ‘state of the union’ for the US Federal DataStrategy. Here it is: On the maturation of datagovernance in U.S. There is additional insight in this article: Federal CDOs Seek More Guidance on Government’sDataStrategy.
A client recently asked me to summarize the benefits of datagovernance and the three main elements of datagovernance into two slides to leverage and use for an upcoming board meeting associated with their emerging program.
What’s new in the world of non-invasive datagovernance? I participated in a couple of the question-and-answer sessions about Non-Invasive DataGovernance as part of the promotion of my new two-day virtual live course and my involvement in a sold-out International Data Management Summit later this month.
According to the authors of “Data Is Everybody’s Business,” a datastrategy “lays out an organization’s goals and plans for managing and exploiting data.” So, where are chief information officers (CIOs) at in facilitating a datastrategy with their business counterparts? What things get in the way the most?
I vividly remember reading this passage from Bob Seiner’s TDAN.com article “Things I Think I Think about DataGovernance”, from August 1, 2015: If we were going to remove two words from the DataGovernance vocabulary, I would choose the words “assign” and “owner.
We organize all of the trending information in your field so you don't have to. Join 42,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content