Alation

OCTOBER 5, 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? Why is your data governance strategy failing?

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TDAN

APRIL 20, 2021

I published an article a few months back that was titled Where Does Data Governance Fit in a Data Strategy (and other important questions). In the article, I quickly outlined seven primary elements of a data strategy as an answer to one of the “other important questions.”

Data Strategy 98

Data Strategy Strategy Data Governance Publishing 98

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

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.

Data Quality 90

Data Quality Metadata Data Governance Management 90

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

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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Data Governance Metadata Data Strategy Business Intelligence 89

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

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

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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erwin

JANUARY 17, 2020

Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise. Variations of A Theme.

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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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Data Governance Management IT Metadata 95

CIO Business Intelligence

NOVEMBER 27, 2024

Above all, robust governance is essential. Failing to invest in data governance and security practices risks not only regulatory lapses and internal governance violations, but also bad outputs from AI that can stunt growth, lead to biased outcomes and inaccurate insights, and waste an organization’s resources.

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AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

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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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Timo Elliott

JANUARY 6, 2022

If storage costs are escalating in a particular area, you may have found a good source of dark data. Analyze your metadata. If you’ve been properly managing your metadata as part of a broader data governance policy, you can use metadata management explorers to reveal silos of dark data in your landscape.

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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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Data Governance Metadata Data Strategy Strategy 80

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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Data Governance Technology IT Metadata 76

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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Data Governance Metadata Data Strategy Business Intelligence 56

TDAN

APRIL 30, 2019

Roles and responsibilities are the backbone of a successful information or data governance program. To communicate effectively […].

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Data Governance Data Quality IT Metadata 79

TDAN

NOVEMBER 3, 2020

I delivered this series of questions focused on relating their need for an over-arching data strategy with the […]. The purpose of the Q&A was to assist her with determining the most appropriate messaging to share across the company.

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Data Strategy Strategy Data Governance Metadata 64

TDAN

JUNE 30, 2020

Three companies from across the globe were recognized for their award-winning Data Governance programs.

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Cloudera

APRIL 18, 2024

More Businesses Are Taking a Holistic Approach to Data Strategy One of the more common trends we saw coming up through conversations during the summit was the need for a reframing of how we approach data strategy—taking a much more holistic viewpoint to it than organizations otherwise would have in past years.

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TDAN

SEPTEMBER 3, 2019

Organizations faced with the delivery of formal Data Governance 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.

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Data Governance Data Quality Metadata Data Strategy 72

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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Metadata Management Business Intelligence Data Governance 59

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. The first section of this post discusses how we aligned the technical design of the data solution with the data strategy of Volkswagen Autoeuropa.

Metadata 105

Metadata Data Quality Digital Transformation Data-driven 105

Alation

MAY 31, 2023

The state of data governance is evolving as organizations recognize the significance of managing and protecting their data. With stricter regulations and greater demand for data-driven insights, effective data governance frameworks are critical. What is a data architect?

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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.

Metadata 52

Metadata Management Data Governance Measurement 52

TDAN

JULY 2, 2019

The third and final part of the Non-Invasive Data Governance 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.

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TDAN

JANUARY 19, 2021

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, data governance, and internal controls.

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Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

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IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The evolution of a multi-everything landscape, and what that means for data strategy.

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Data Strategy Strategy Business Objectives Data-driven 56

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.

Data Governance 59

Data Governance Metadata Data Strategy Strategy 59

TDAN

APRIL 2, 2019

If you are just starting out and feel overwhelmed by all the various definitions, explanations, and interpretations of data governance, don’t be alarmed. Even well-seasoned data governance veterans can struggle with the definition and explanation of what they do day to day.

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Data Governance Data Quality Metadata Data Strategy 72

TDAN

MAY 5, 2020

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.

Data Governance 101

Data Governance Management Interactive Data Quality 101

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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Data Governance Management Data Strategy Metadata 59

Alation

MARCH 1, 2023

To learn the answer, we sat down with Karla Kirton , Data Architect at Blockdaemon, a blockchain company, to discuss data strategy , decentralization, and how implementing Alation has supported them. What is your data strategy and how did you begin to implement it? Here’s a recap of our discussion.

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CIO Business Intelligence

OCTOBER 13, 2023

Application data architect: The application data architect designs and implements data models for specific software applications. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

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