Dataversity

APRIL 20, 2021

As the Master Data Management (MDM) solutions market continues to mature, it’s become increasingly clear that the program management aspects of the discipline are at least as important, if not more so, than the technology solution being implemented. Click to learn more about author Bill O’Kane.

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Master Data Management Data Management Data Governance Data Quality 130

The Data Administration Newsletter

DECEMBER 6, 2022

Unfortunately, a lot of those data breaches come from poorly organized or secure data. The solution to these sensitive issues in the healthcare industry is simple: data governance. Better yet, an efficient data governance plan that can clear up numerous […].

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Data Governance Healthcare Government Planning 52

The Data Administration Newsletter

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 […]

Data Governance 52

Data Governance Government Data Quality Master Data Management 52

Astera

MAY 9, 2023

In such a scenario, it becomes imperative for businesses to follow well-defined guidelines to make sense of the data. That is where data governance and data management come into play. Let’s look at what exactly the two are and what the differences are between data governance vs. data management.

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Astera

NOVEMBER 1, 2023

Introduction   As financial institutions navigate intricate market dynamics and heighten regulatory requirements, the need for reliable and accurate data has never been more pronounced. This has spotlighted data governance—a discipline that shapes how data is managed, protected, and utilized within these institutions.

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Data Governance Government Data Quality Banking 40

Dataversity

AUGUST 16, 2024

Part 1 of this article considered the key takeaways in data governance, discussed at Enterprise Data World 2024. […] The post Enterprise Data World 2024 Takeaways: Key Trends in Applying AI to Data Management appeared first on DATAVERSITY.

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Data Management Data Governance Government Master Data Management 130

Dataversity

MAY 31, 2021

As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. The post Dear Laura: Should We Hire Full-Time Data Stewards? Click to learn more about author Laura Madsen. Welcome to the Dear Laura blog series! Last year I wrote […].

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Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Data breaches and regulatory compliance are also growing concerns.

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

BizAcuity

APRIL 14, 2022

According to Gartner, through 2025, 80% of the organizations seeking to scale their digital business will fail because they do not take a modern approach to data and analytics governance. Such is the significance of big data in today’s world. With the amount of data being accumulated, it is easier when said.

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Astera

MAY 14, 2024

Master data management vs. Metadata management Before proceeding, it’s essential to clarify that while both master data management (MDM) and metadata management are crucial components of data management and governance, they are two unique concepts and, therefore, not interchangeable.

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Government Data Governance Master Data Management Documentation 52

The Data Administration Newsletter

FEBRUARY 21, 2024

Hands down one of the most frequent observations when walking the data factory at different clients is the excessive use of spreadsheets for data collection and purification. These spreadsheets are part of a critical data enrichment process for getting reports out the door on time.

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Government Master Data Management Data Governance Data Management 98

Dataversity

JULY 12, 2021

In my eight years as a Gartner analyst covering Master Data Management (MDM) and two years advising clients and prospects at a leading vendor, I have seen first-hand the importance of taking a multidomain approach to MDM. Click to learn more about author Bill O’Kane.

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Master Data Management Data Management Data Quality Data Governance 130

Astera

APRIL 3, 2024

As important as it is to know what a data quality framework is, it’s equally important to understand what it isn’t: It’s not a standalone concept—the framework integrates with data governance, security, and integration practices to create a holistic data ecosystem.

Data Quality 52

Data Quality Data Governance Government Monitoring 52

Astera

JANUARY 2, 2024

When data is organized and accessible, different departments can work cohesively, sharing insights and working towards common goals. Data Governance vs Data Management One of the key points to remember is that data governance and data management are not the same concepts—they are more different than similar.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

JULY 13, 2023

One of the key benefits of a data lake is that it can also store unstructured data, such as social media posts, emails, and documents. This makes it a valuable resource for organizations that need to analyze a wide range of data types.

Data Warehouse 40

Data Warehouse Data Quality Data Governance Master Data Management 40

Astera

AUGUST 22, 2024

Organizations should prioritize high data quality during the mid-merge stage as it helps in: Master Data Management (MDM): High-quality data is essential for creating a single, authoritative source of truth (master data) across the combined organization.

Data Quality 52

Data Quality Data Governance Government Monitoring 52

Dataversity

MAY 9, 2022

Data fabric is redefining enterprise data management by connecting distributed data sources, offering speedy data access, and strengthening data quality and governance. This article gives an expert outlook on the key ingredients that go into building […].

Data Quality 130

Data Quality Government Data Management Master Data Management 130

The Data Administration Newsletter

AUGUST 31, 2021

Can the responsibilities for vocabulary ownership and data ownership by business stakeholders be separate? I have listened to many presentations and read many articles about data governance (or data stewardship if you prefer), but I have never come across anyone saying they can and should be. Should they be?

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Data Governance Government Master Data Management Data Modelling 52

Dataversity

AUGUST 30, 2024

Master data lays the foundation for your supplier and customer relationships. However, teams often fail to reap the full benefits […] The post How to Win the War Against Bad Master Data appeared first on DATAVERSITY.

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Master Data Management Data Quality Data Governance Data Architecture 264

Astera

AUGUST 8, 2023

Ataccama ONE Ataccama ONE is a modular, integrated platform that provides a range of data quality functionalities. With Data Governance, Data Quality, and Master Data Management combined in an AI-powered fabric, it allows businesses and data teams to grow while ensuring data trust, security, and governance.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

JANUARY 18, 2024

Data Quality : It includes features for data quality management , ensuring that the integrated data is accurate and consistent. Data Governance : Talend’s platform offers features that can help users maintain data integrity and compliance with governance standards.

IBM Support 52

IBM Support IBM Maintenance IBM cost Data Warehouse 52

Astera

JANUARY 25, 2024

This facilitates the real-time flow of data from data warehouse to reporting dashboards and operational analytics tools, accelerating data processing and providing business leaders with timely information.

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E-Commerce Data Warehouse Retail Customer Experience 52

Dataversity

MAY 7, 2024

Most, if not all, organizations need help utilizing the data collected from various sources efficiently, thanks to the ever-evolving enterprise data management landscape. Data is collected and stored in siloed systems 2. Different verticals or departments own different types of data 3.

Data Quality 147

Data Quality Data Management Master Data Management Data Governance 147

Dataversity

JANUARY 20, 2021

The smart factory and plant now incorporate an array of connected technologies, all generating a vast volume of data. As a result, data will continue its exponential growth, […]. The post Why Effective Data Management Is Key in a Connected World appeared first on DATAVERSITY.

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Data Management Digital Transformation Digital Master Data Management 246

Dataversity

DECEMBER 24, 2020

The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” Click to learn more about author Scott Taylor.

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Data Management Data Quality Master Data Management Data Governance 242

The Data Administration Newsletter

MARCH 15, 2022

I had something else nearly ready that was expanding on the broad questions of ethics in information and data management I discussed last time, drawing on some work I’m doing with an international client and a recent roundtable discussion I had with some regulators […].

Data Management 125

Data Management Master Data Management Data Governance Government 125

Dataversity

FEBRUARY 12, 2021

Data has been called the new oil. Now on a trajectory towards increased regulation, the data gushers of yore are being tamed. Data will become trackable, […]. Click to learn more about author Brian Platz.

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Digital Master Data Management Data Governance Data Quality 130

The Data Administration Newsletter

JUNE 21, 2022

Twenty-five years ago today, I published the first issue of The Data Administration Newsletter. It only took a few months to recognize that there was an audience for an “online” publication focused on data administration. […].

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Master Data Management Data Quality Data Modelling Data Governance 78

The Data Administration Newsletter

MAY 16, 2023

Data quality management (DQM) has advanced considerably over the years. The full extent of the problem was first recognized during the data warehouse movement in the 1980s.

Data Quality 52

Data Quality Data Warehouse Master Data Management Data Governance 52

The Data Administration Newsletter

JUNE 20, 2023

These days, there is much conversation about the necessity of the data model. The data model has been around for several decades now and can be classified as an artifact of an earlier day and age. But is the data model really out of date? And exactly why do we need a data model, anyway? […]

Data Modelling 52

Data Modelling Master Data Management Data Governance Data Management 52

The Data Administration Newsletter

NOVEMBER 30, 2021

It does not matter if the project is architecture, construction, business strategy, or the one of the many facets of data and information management. The knowledge of a Subject Matter Expert, or SME, can make or break any projects of any type. To become a SME, a team needs to have lived and worked in […].

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Master Data Management Data Governance Government Data Management 52

The Data Administration Newsletter

FEBRUARY 17, 2021

2020 was the kind of year that would make anyone in the predictions business more than a little gun shy. I certainly didn’t have “global pandemic” on my 2020 bingo card. And, even if I somehow did, I would never have coupled that with a “booming stock market” and median SaaS price/revenue multiples in the […].

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Master Data Management Data Governance Data Management Government 59

IRM Connects

NOVEMBER 21, 2019

I recently presented a workshop at the Business Analysis Conference Europe 2019 by the industry group International Institute of Business Analysis (IIBA) where an illustrator created this image summarizing the.

Business Analysis 40

Business Analysis Business Analysis Master Data Management Business Process Management 40

The Data Administration Newsletter

DECEMBER 5, 2023

This quarter’s column draws on my keynote for DAMA Calgary’s contribution to DAMA Days Canada last month, which in turn drew on some of the content in the second edition of the “Data Ethics” book I wrote with my colleague Katherine O’Keefe (particularly, Chapter 3 and Chapter 11). My keynote looked at the thorny question […]

Master Data Management 52

Master Data Management Data Governance Government Data Management 52

Astera

APRIL 24, 2024

It offers a modular set of software components for data management. The tool has features such as data fabric and AI lifecycle management, governance, security, integration, observability, and master data management. Test the tool’s transformation capabilities with data samples.

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IBM Support IBM Maintenance IBM cost Visualization 52

Insight Software

AUGUST 15, 2024

In today’s fast-paced business environment, having control over your data can be the difference between success and stagnation. Leaning on Master Data Management (MDM), the creation of a single, reliable source of master data, ensures the uniformity, accuracy, stewardship, and accountability of shared data assets.

IBM Maintenance 52

IBM Maintenance IBM Support Data Governance Government 52

Insight Software

AUGUST 30, 2024

AI can also be used for master data management by finding master data, onboarding it, finding anomalies, automating master data modeling, and improving data governance efficiency. Early research shows that AI could have cost-saving benefits for companies with complex supply chains.

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