TDAN

OCTOBER 18, 2022

Last week, we presented a webinar in our Data Governance — Best Practices series on data quality. Obviously, we’re a […].

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TDAN

SEPTEMBER 5, 2023

The role of data products has become pivotal, driving organizations towards insightful decision-making and competitive advantage. However, ensuring the achievement of these data products demands the strategic integration of Non-Invasive Data Governance (NIDG). Central to this cooperation is the […]

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TDAN

MARCH 15, 2022

1 In this article, I will apply it to the topic of data quality. I will do so by comparing two butterflies, each that represent a common use of data quality: firstly and most commonly in situ for existing systems, and secondly for use […]. We know the phrase, “Beauty is in the eye of the beholder.”1

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TDAN

DECEMBER 20, 2022

It has been eight years plus since the first edition of my book, Non-Invasive Data Governance: 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.

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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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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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Data Governance Data Quality Metadata Data Strategy 145

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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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

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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IBM Big Data Hub

JANUARY 25, 2023

In our last blog , we introduced Data Governance: what it is and why it is so important. In this blog, we will explore the challenges that organizations face as they start their governance journey. Organizations have long struggled with data management and understanding data in a complex and ever-growing data landscape.

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TDAN

AUGUST 31, 2021

Data is everywhere! But can you find the data you need? What can be done to ensure the quality of the data? How can you show the value of investing in data? Can you trust it when you get it? These are not new questions, but many people still do not know how to practically […].

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Data Quality IT Metadata Data Strategy 105

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

DECEMBER 31, 2019

Organizations that have implemented Data Governance 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.

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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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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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CDW Research Hub

AUGUST 12, 2020

What is your organization doing to protect the value of your data? A strong data governance strategy helps ensure that your data is usable, accessible and protected, guaranteeing trust in the quality and consistency of the data. It involves establishing methods, processes and roles.

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TDAN

OCTOBER 19, 2021

[Publisher’s Note: This is the final column from the Data Governance Professionals Organization. This quarter’s column was written by Malcolm Chisholm of Data Millennium.] Thank you, DGPO, for providing content to the pages of TDAN.com over the past several years.

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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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CIO Business Intelligence

MARCH 4, 2024

The data mesh debate This is not to say that there is a consensus that data mesh is a universal solution. Stakeholders are currently waging an open debate across the industry of centralization versus federated data strategies.

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CIO Business Intelligence

MARCH 27, 2023

They’re spending a lot of time on things like data quality, data management, things that might be tactical, helping with operational aspects of IT. Organizations are still investing in data and analytics functions. million, and 44% said their data and analytics teams increased in size over the past year.

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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.

Data Governance 72

Data Governance Data Quality Metadata Data Strategy 72

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Here are a few common data management challenges: Regulatory compliance on data use. Data quality.

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CIO Business Intelligence

JANUARY 22, 2024

Key elements of this foundation are data strategy, data governance, and data engineering. A healthcare payer or provider must establish a data strategy to define its vision, goals, and roadmap for the organization to manage its data.

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CIO Business Intelligence

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

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Srividya Sridharan

SEPTEMBER 5, 2019

Discover the themes and topics we'll be tackling at this year's Data Strategy & Insights Forum.

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Data Strategy Strategy Predictive Analytics Customer Analytics 81

TDAN

NOVEMBER 14, 2023

Now that “data” is finally having its day, data topics are blooming like jonquils in March. Data management, data governance, data literacy, data strategy, data analytics, data engineering, data mesh, data fabric, data literacy, and don’t forget data littering.

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erwin

SEPTEMBER 13, 2022

Come listen to data veterans in customer organizations as well as data best practices experts from IDC, Global Data Strategy, Ltd. Learn how to maximize the business impact of your data. The Importance of Data Intelligence to the Data-Driven Business.

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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.

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Alation

JULY 15, 2022

And, while change at large organisations is tough, data leaders would be wise to reframe such transformations as business opportunities rather than burdens. I raised the Cambridge Analytica Scandal and pointed out how it is often only when these stories hit the news that people question the ethics behind how companies are using data.

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Anmut

APRIL 6, 2023

By regularly conducting data maturity assessments, you can catch potential issues early and make proactive changes to supercharge your business’s success. Cost savings By identifying areas where data management processes can be optimised, organisations can reduce costs associated with data management and analysis.

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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. 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. Analyze your metadata. Create a catalog.

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TDAN

JUNE 4, 2019

The following paper is the first of a three-part series that describes the Non-Invasive Data Governance Framework. Seiner of KIK Consulting & Educational Services (KIKconsulting.com) and The Data Administration Newsletter (TDAN.com). The framework was developed and is implemented by Robert S.

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TDAN

DECEMBER 20, 2022

Over the past few months, my team in Castlebridge and I have been working with clients delivering training to business and IT teams on data management skills like data governance, data quality management, data modelling, and metadata management.

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Metadata Data Governance Data Quality Management 52

Anmut

MARCH 22, 2023

Anmut’s own clients estimate that poor data quality and availability causes at least 16% additional cost per year. Worse still, these organisations’ competitors are actually pouring twice as many resources into creating value from their data assets, giving them a massive advantage.

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Measurement Modeling Data Quality Data Governance 52

Smart Data Collective

DECEMBER 21, 2022

This market is growing as more businesses discover the benefits of investing in big data to grow their businesses. Unfortunately, some business analytics strategies are poorly conceptualized. One of the biggest issues pertains to data quality. Data cleansing and its purpose.

Business Analytics 108

Business Analytics Analytics Data Quality Big Data 108

TDAN

SEPTEMBER 3, 2019

The quality of data used in business is more important now than ever before. Accordingly, in order for organizations to deliver good business results, their data must be accurate, and the use of that data must be governed through policy and monitoring. The most […].

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TDAN

JULY 19, 2022

It is all in the data. What does your head do when someone uses the expression “same difference”? Mine explodes! Does it mean things are the same? Does it mean there is a difference? Please don’t use that expression. It is very confusing. Word on the street (my clients included) is that there is significant […].

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