TDAN

NOVEMBER 15, 2022

At the recent InfoGovWorld conference, I had the opportunity to participate in a panel discussion about the future of Data Governance. Common themes were the growing importance of governance metadata, especially in the areas of business value, success measurement and reduction in operational and data risk.

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TDAN

AUGUST 16, 2022

Unfortunately, a lot of data governance 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 data governance program.

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TDAN

JUNE 15, 2021

I debated over whether to title this article Data Governance as a Puzzle … or Data Governance is a Puzzle. I selected the first option and decided to use this article to provide a comparison of data governance and good puzzles; rather than […].

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TDAN

MARCH 16, 2021

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 Data Governance program. Take the […].

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TDAN

MAY 16, 2023

Non-Invasive Data Governance (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 […]

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CIO Business Intelligence

APRIL 29, 2022

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation. era is upon us.

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TDAN

NOVEMBER 2, 2021

What is Data Governance and How Do You Measure Success? Data governance 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 […].

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Alation

APRIL 25, 2023

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

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TDAN

DECEMBER 2, 2020

Ensuring data quality is an important aspect of data management and these days, DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever before. The importance of quality data cannot be overstated.

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Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story.

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Data Virtualization

DECEMBER 21, 2023

And data fabric is a self-service data layer that is supported in an orchestrated fashion to serve. The post Data Governance in a Data Mesh or Data Fabric Architecture appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Octopai

SEPTEMBER 14, 2020

Modern data processing depends on metadata management to power enhanced business intelligence. Metadata is of course the information about the data, and the process of managing it is mysterious to those not trained in advanced BI. In this article, you will learn: What does metadata management do?

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TDAN

MARCH 19, 2019

Metadata Governance is easiest to understand when you separate the term into its two parts – Metadata and Data Governance. These organizations make certain […].

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TDAN

NOVEMBER 5, 2019

There is … but one … Data Governance. Maybe you are one of those that believe that there is something called Master Data Governance, Information Governance, Metadata Governance, Big Data Governance, Customer [or insert domain name here] Data Governance, Data Governance 1.0 – 2.0 – 3.0, […].

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IBM Big Data Hub

JULY 28, 2022

Metadata enrichment is about scaling the onboarding of new data into a governed data landscape by taking data and applying the appropriate business terms, data classes and quality assessments so it can be discovered, governed and utilized effectively. Scalability and elasticity. Public API.

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TDAN

JUNE 30, 2020

You may already have a formal Data Governance program in place. Or … you are presently going through the process of trying to convince your Senior Leadership or stakeholders that a formal Data Governance program is necessary. Maybe you are going through the process of convincing the stakeholders that Data […].

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TDAN

SEPTEMBER 7, 2022

Fit for Purpose data has been a foundational concept of Data Governance for as long as I’ve been in the field…so that’s 10-15 years now. Most data quality definitions take Fit-for-Purpose as a given.

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TDAN

SEPTEMBER 5, 2023

Whether it’s financial data, personal health information, or customer data, organizations that generate and manage data must implement a comprehensive data governance strategy. A robust data governance policy ensures compliance and security and improves the quality of Business […]

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Alation

JANUARY 26, 2023

These data requirements could be satisfied with a strong data governance strategy. Governance can — and should — be the responsibility of every data user, though how that’s achieved will depend on the role within the organization. How can data engineers address these challenges directly?

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TDAN

JUNE 15, 2021

Data Governance describes the practices and processes organizations use to manage the access, use, quality and security of an organizations data assets. The data-driven business era has seen a rapid rise in the value of organization’s data resources.

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TDAN

JUNE 18, 2019

Is your organization struggling to succeed with your Data Governance program? Data Governance occurs best when done in conjunction with the business processes and not as a “bolt on”/additional activity. Is adoption by the business an issue for you?

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TDAN

JULY 6, 2021

A question was raised in a recent webinar about the role of the Data Architect and Data Modelers in a Data Governance program. My webinar with Dataversity was focused on Data Governance Roles as the Backbone of Your Program.

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TDAN

JANUARY 14, 2020

Recording requirements for success is an important first step toward demonstrating the value of a Data Governance program. Practitioners know that Data Governance requires planning, resources, money and time and that several of these objects are in short supply.

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TDAN

APRIL 5, 2022

Data Governance 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.

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Alation

APRIL 25, 2023

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

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TDAN

SEPTEMBER 16, 2020

One of the first steps organizations take when preparing to deliver a data governance program is to determine where in the organization data governance should be placed. Or in other words, who should own data governance?

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TDAN

AUGUST 15, 2023

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.

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TDAN

JULY 19, 2022

Are you thinking about hiring or interviewing someone for a data governance or data intelligence role such as a Data Governance Manager or a Data Governance Coordinator? Maybe data governance as a whole is new to the organization. Maybe this is a new role in the organization.

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TDAN

JULY 4, 2023

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.

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TDAN

SEPTEMBER 21, 2022

Both data governance and data management workflows are critical to ensuring the security and control of an organization’s most valuable asset— data. Is the positioning of data governance vs. data management correct? In this […].

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TDAN

OCTOBER 19, 2021

I last published my Data Governance Bill of “Rights” in a TDAN.com article circa 2017. I mentioned in the earlier piece that Data Governance is all about doing the “right” thing when it comes to managing your data. It’s all in the data. That seems like a long time ago.

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TDAN

APRIL 19, 2022

Top Down vs. Bottom Up Have you heard the terms “top-down” or “bottom-up” associated with approaches to Data Governance? If so, do you think top down is the only way to execute your Data Governance Program?

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TDAN

OCTOBER 21, 2020

Unfortunately a lot of data governance 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 data governance program.

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AWS Big Data

NOVEMBER 13, 2024

This post dives into the technical details, highlighting the robust data governance framework that enables ease of access to quality data using Amazon DataZone. Onboard key data products – The team identified the key data products that enabled these two use cases and aligned to onboard them into the data solution.

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TDAN

MARCH 2, 2021

What’s new in the world of non-invasive data governance? I participated in a couple of the question-and-answer sessions about Non-Invasive Data Governance 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.

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TDAN

AUGUST 31, 2021

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 […].

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TDAN

APRIL 4, 2023

In part one of this column, I wrote about how organizations engage their data stewards as part of their formal data governance program. I mentioned that the data stewards do not always know how to behave as formal stewards.

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