The Data Administration Newsletter

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.

Data Quality 52

Data Quality Data Governance Government Data Management 52

Dataversity

DECEMBER 15, 2023

As we near the end of 2023, it is imperative for Data Management leaders to look in their rear-view mirrors to assess and, if needed, refine their Data Management strategies.

Data Management 144

Data Management Data Quality Data Governance Data Architecture 144

The Data Administration Newsletter

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

Data Quality 98

Data Quality Data Governance Government Data Management 98

Dataversity

NOVEMBER 9, 2023

In today’s data-driven world, where every byte of information holds untapped potential, effective Data Management has become a central component of successful businesses. The ability to collect and analyze data to gain valuable insights is the basis of informed decision-making, innovation, and competitive advantage.

Data Management 144

Data Management Innovation Data Quality Data Governance 144

Dataversity

MAY 1, 2023

The remainder of this point of view will explain why connecting […] The post Connecting the Three Spheres of Data Management to Unlock Value appeared first on DATAVERSITY. But only very few have succeeded in connecting the knowledge of these three efforts.

Data Management 244

Data Management Documentation Data Modelling Data Quality 244

Dataversity

MAY 12, 2023

However, most companies fumble their approach to Data Management and fail to draw insights as a result. Data Management might seem like a back-office function, but it is critical to a modern company’s success. Getting started with or fixing your Data Management processes might seem intimidating.

Data Management 130

Data Management Data Quality Data Governance Government 130

Dataversity

FEBRUARY 15, 2021

This article introduces Force-Field Analysis (FFA) [1], a tool that one of us (Tom) has used for many years to help understand and summarize the impacts of multiple factors in the data space. The post Increasing the Business Impact of Data Management Using Force-Field Analysis appeared first on DATAVERSITY.

Data Management 246

Data Management Chief Data Officer Data Quality Data Governance 246

Dataversity

NOVEMBER 13, 2023

In September, I had the privilege of co-hosting a new special interest group (SIG), Women in Data Management and Governance, alongside DATAVERSITY’s Shannon Kempe, at a pre-conference Enterprise Data World (EDW) event.

Government 167

Government Data Management Data Governance Data Quality 167

Dataversity

OCTOBER 23, 2023

This problem will become more complex as organizations adopt new resource-intensive technologies like AI and generate even more data. By 2025, the IDC expects worldwide data to reach 175 zettabytes, more […] The post Why Master Data Management (MDM) and AI Go Hand in Hand appeared first on DATAVERSITY.

Master Data Management 157

Master Data Management Data Management Data Quality Data Governance 157

The Data Administration Newsletter

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 Data Governance Government Data Management 90

Tableau

APRIL 12, 2021

Product Manager, Tableau Prep. Data discovery and trust have been core principles of Tableau Catalog (part of Tableau Data Management ) since its introduction with Tableau 2019.3. With every release, we continue to add features that help users find and use trusted data with confidence. Kristin Adderson. Until 2021.1,

Data Quality 102

Data Quality Monitoring Data Discovery Data Management 102

The Data Administration Newsletter

OCTOBER 3, 2023

My recent columns have focused on actionable initiatives that can both deliver business value, providing a tangible achievement, and raise the profile of the data management organization data management organization (DMO).(For In that light, let’s […]

Data Quality 52

Data Quality Data Management Data Governance Government 52

Dataversity

APRIL 22, 2022

As the saying goes, “data is the new oil.” However, in order for data to be truly useful, it needs to be managed effectively. This is where the following 16 internal Data Management best practices come […]. The post 16 Internal Data Management Best Practices appeared first on DATAVERSITY.

Data Management 130

Data Management Digital Data Quality Data Governance 130

Dataversity

MAY 19, 2023

As technology has advanced, databases, warehouses, and data lakes have enabled information to be collected, stored, and managed electronically. But as businesses have rapidly increased the volume, velocity, and variety of data […] The post Why Good Data Management Matters Now More Than Ever appeared first on DATAVERSITY.

Data Management 130

Data Management Business Analysis Business Analysis Data Quality 130

Dataversity

JUNE 23, 2023

Some verticals, notably financial services, are beginning to tie ESG information directly to investment decisions, while all companies are realizing that […] The post Logical Data Management for Environmental, Social, and Governance (ESG) Initiatives appeared first on DATAVERSITY.

Government 130

Government Data Management Data Governance Data Quality 130

The Data Administration Newsletter

OCTOBER 18, 2022

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

Data Quality 52

Data Quality Data Governance Government Data Management 52

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.

Data Management 246

Data Management Digital Transformation Digital Master Data Management 246

Dataversity

APRIL 23, 2021

Within the Data Management industry, it’s becoming clear that the old model of rounding up massive amounts of data, dumping it into a data lake, and building an API to extract needed information isn’t working. The post Why Graph Databases Are an Essential Choice for Master Data Management appeared first on DATAVERSITY.

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Master Data Management Data Management Data Governance Data Quality 227

Dataversity

MARCH 10, 2021

Companies must create a standard for their data that fits their business needs and processes. The post Three Reasons to Take a More Holistic Approach to Data Management appeared first on DATAVERSITY. To determine what those are, start by asking […].

Data Management 246

Data Management Data Requirement Data Quality Data Governance 246

Dataversity

NOVEMBER 7, 2022

Data quality issues have been a long-standing challenge for data-driven organizations. Even with significant investments, the trustworthiness of data in most organizations is questionable at best. Gartner reports that companies lose an average of $14 million per year due to poor data quality.

Data Quality 242

Data Quality Data Management Data Governance Government 242

Dataversity

APRIL 11, 2023

Thus, it is crucial to manage and streamline quality test data. This test data is used to build real-time scenarios […] The post How Can Your Organization Implement the Right Test Data Management (TDM) Strategy? appeared first on DATAVERSITY.

Data Management 130

Data Management Agile Data Quality Data Governance 130

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

Dataversity

NOVEMBER 1, 2021

Many in enterprise Data Management know the challenges that rapid business growth can present. Whether through acquisition or organic growth, the amount of enterprise data coming into the organization can feel exponential as the business hires more people, opens new locations, and serves new customers. The enterprise […].

Data Governance 130

Data Governance Government Data Management Master Data Management 130

The Data Administration Newsletter

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 […].

Data Quality 105

Data Quality Data Governance Government Data Management 105

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.

Master Data Management 130

Master Data Management Data Management Data Governance Data Quality 130

Dataversity

MARCH 16, 2021

When it comes to the business environment, data is crucial for effective decision-making, which makes it a highly valuable resource. The post Top Use Cases for Data Management Automation appeared first on DATAVERSITY. But it needs to be well […].

Data Management 130

Data Management Data Quality Artificial Intelligence 130

Dataversity

JULY 22, 2022

The post 3 Data Management Tips to Help Plan for the Day After Tomorrow appeared first on DATAVERSITY. Gone are the days of Excel and manual forecasting because much like the dystopian film “The Day After Tomorrow,” leaders have no idea what the next day will hold. While we may wish […].

Planning 130

Planning Data Management Data Quality Data Governance 130

Dataversity

OCTOBER 20, 2023

The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” The series covers some of the most prominent questions in Data Management, such as master data, the difference between master data and MDM, “truth” versus “meaning” in data, Data Quality, and so much more.

Data Quality 144

Data Quality Data Management Data Governance Government 144

Dataversity

JANUARY 6, 2021

Amazingly, statistics show that around 90 percent of this data is only two years old. However, Data Management and structuring are notoriously complex. […]. The post The Need for Flexible Data Management: Why Is Data Flexibility So Important? appeared first on DATAVERSITY.

Data Management 162

Data Management Big Data Data Governance Data Quality 162

Tableau

APRIL 12, 2021

Product Manager, Tableau Catalog. Data discovery and trust have been core principles of Tableau Catalog (part of Tableau Data Management ) since its introduction with Tableau 2019.3. With every release, we continue to add features that help users find and use trusted data with confidence. Kristin Adderson.

Data Quality 52

Data Quality Monitoring Data Discovery Data Management 52

Dataversity

MAY 4, 2021

Regardless of one’s industry or field, every organization always uses data in their everyday operations to help them attain their goals or help monitor their performance. However, without incorporating Data Management best practices, your data analysis may be flawed. […].

Data Management 130

Data Management Monitoring Data Quality Data Visualization 130

The Data Administration Newsletter

APRIL 5, 2022

Regardless of how accurate a data system is, it yields poor results if the quality of data is bad. As part of their data strategy, a number of companies have begun to deploy machine learning solutions. In a recent study, AI and machine learning were named as the top data priorities for 2021, by 61% […].

Data Quality 98

Data Quality Big Data Data Management Business Intelligence 98

The Data Administration Newsletter

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 Government Data Management 52

The Data Administration Newsletter

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.

Data Quality 52

Data Quality Data Governance Government Data Management 52

The Data Administration Newsletter

OCTOBER 5, 2022

Fortune 1000 organizations spend approximately $5 billion in total each year to improve the trustworthiness of data. Yet, only 42% of the executives trust their data. According to multiple surveys, executives across industries do not completely trust the data in their organization for accurate, timely business-critical decision-making.

Data Quality 59

Data Quality Data Management Business Intelligence Business Intelligence 59

The Data Administration Newsletter

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.

Data Quality 90

Data Quality Innovation Data Governance Government 90

Dataversity

MARCH 21, 2022

While data lakes and data warehouses are both important Data Management tools, they serve very different purposes. If you’re trying to determine whether you need a data lake, a data warehouse, or possibly even both, you’ll want to understand the functionality of each tool and their differences.

Data Warehouse 246

Data Warehouse Data Management Data Governance Data Discovery 246