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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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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O'Reilly on Data

JULY 28, 2020

In this article, we turn our attention to the process itself: how do you bring a product to market? The development phases for an AI project map nearly 1:1 to the AI Product Pipeline we described in the second article of this series. The final article in this series will be devoted to debugging.). Identifying the problem.

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TDAN

SEPTEMBER 19, 2023

Information technology (IT) plays a vital role in data governance by implementing and maintaining strategies to manage, protect, and responsibly utilize data. Through advanced technologies and tools, IT ensures that data is securely stored, backed up, and accessible to authorized personnel.

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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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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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Cloudera

JANUARY 26, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. This allows the organization to comply with government regulations and internal security policies. A business metadata collection called “Project.”

Metadata 79

Metadata Data Governance Management Finance 79

TDAN

FEBRUARY 21, 2024

Many Data Governance or Data Quality programs focus on “critical data elements,” but what are they and what are some key features to document for them? A critical data element is any data element in your organization that has a high impact on your organization’s ability to execute its business strategy.

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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

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

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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Data Quality Data Governance Data Strategy Strategy 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

DECEMBER 14, 2021

The Data Ethics Conundrum The recent DAMA EMEA conference was a valiant effort to connect the DAMA membership in the EMEA region through an innovative virtual conference format. One of these polls asked, “Are Data Ethics Principles Universal?” During the conference, various polls were run.

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TDAN

MARCH 6, 2024

Data quality is measured across dimensions, but why? Data quality metrics exist to support the business. The value of a data quality program resides in the ability to take action to improve data to make it more correct and therefore more valuable.

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Data Quality Metrics Measurement IT 52

TDAN

NOVEMBER 20, 2024

A systems thinking approach to process control and optimization demands continual data quality feedback loops. Moving the quality checks upstream to the source system provides the most extensive control coverage. Data Governance is about gaining trust and […]

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Data Governance Data Quality Optimization 52

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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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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Data Governance Management Interactive Data Quality 101

TDAN

MARCH 1, 2022

This article is the third in a series taking a deep dive on how to do a current state analysis on your data. This article focuses on data culture, what it is, why it is important, and what questions to ask to determine its current state. The first two articles focused on data quality and data […].

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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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Data Governance Data Quality Data Strategy Strategy 52

TDAN

SEPTEMBER 18, 2024

As organizations rush headlong into digital transformation initiatives, a critical factor often gets overlooked: data quality.

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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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Data Governance Strategy Data Quality Marketing 52

IBM Big Data Hub

AUGUST 23, 2023

Because of this, when we look to manage and govern the deployment of AI models, we must first focus on governing the data that the AI models are trained on. This data governance requires us to understand the origin, sensitivity, and lifecycle of all the data that we use. and watsonx.data.

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CIO Business Intelligence

OCTOBER 29, 2024

In 2018, I wrote an article asking, “Will your company be valued by its price-to-data ratio?” The premise was that enterprises needed to secure their critical data more stringently in the wake of data hacks and emerging AI processes. This is an important element in regulatory compliance and data quality.

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Cloudera

MARCH 4, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. This allows the organization to comply with government regulations and internal security policies. A business metadata collection called “Project.”

Metadata 52

Metadata Data Governance Management Finance 52

TDAN

NOVEMBER 14, 2023

Data empowers businesses to gain valuable insights into industry trends and fosters profitable decision-making for long-term growth. No wonder businesses of all sizes are switching to data-driven culture from conventional practices.

Data Quality 59

Data Quality Data-driven Reporting IT 59

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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CDW Research Hub

MAY 29, 2019

Data governance helps organizations manage their information and answer questions about business performance, allowing them to better understand data, and govern it to mitigate compliance risks and empower information stakeholders. Checklist: Building an Enterprise Data Governance Program.

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TDAN

OCTOBER 17, 2023

Where exactly within an organization does the primary responsibility lie for ensuring that a data pipeline project generates data of high quality, and who exactly holds that responsibility? Who is accountable for ensuring that the data is accurate? Is it the data engineers? The data scientists?

Data Quality 52

Data Quality Data Governance IT Management 52

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. Reuse of consumer-based data saves cost in extract, transform, and load (ETL) implementation and system maintenance.

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Metadata Data Quality Digital Transformation Data-driven 105

CIO Business Intelligence

OCTOBER 17, 2024

But the biggest point is data governance. You can host data anywhere — on-prem or in the cloud — but if your data quality is not good, it serves no purpose. Data governance was the biggest piece that we took care of. That was the foundation. And we’ve already seen a big ROI on this.

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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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Data Governance Data Enablement Data Quality IT 52

TDAN

JULY 2, 2019

Aren’t you tired of seeing articles, blogs, and postings about struggling and failing data governance programs? One of the frequent questions that the Data Governance Professionals Organization (DGPO) receives is “can anyone REALLY be successful with data governance?” The award is […].

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Octopai

JANUARY 31, 2021

The content on A-Team Insight covers financial markets and the way in which technology and data management play a part. This site offers expert knowledge and articles geared towards decision-makers in investment management firms and investment banks. Techcopedia follows the latest trends in data and provides comprehensive tutorials.

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TDAN

JUNE 1, 2021

“Quality is never an accident. ” John Ruskin, prominent Victorian era social thinker Data-driven decision-making is fast becoming a critical business strategy for organizations in every sector. However, if the data used to make these decisions is not high-quality, it can’t be trusted.

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Peter James Thomas

AUGUST 4, 2020

As usual, the new definitions range across the data arena: from Data Science and Machine Learning; to Information and Reporting; to Data Governance and Controls. Conformed Data (Conformed Dimension). Data Capability. Data Capability Framework (Data Capability Model). Data Driven.

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Alation

JUNE 14, 2021

And third is what factors CIOs and CISOs should consider when evaluating a catalog – especially one used for data governance. The Role of the CISO in Data Governance and Security. They want CISOs putting in place the data governance needed to actively protect data. So CISOs must protect data.

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Jim Harris

JUNE 30, 2016

In a recent interview, Jill Dyché explained a common misconception, namely that a data governance framework is not a strategy. Unlike other strategic initiatives that involve IT,” Jill explained, “data governance needs to be designed. Or how the puzzle pieces will fit together within your unique corporate culture?

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