Dataversity

NOVEMBER 14, 2023

Master data management uses a combination of tools and business processes to ensure the organization’s master data is complete, accurate, and consistent. Master data describes all the “relatively stable” data that is critical for operating the business.

Master Data Management 144

Master Data Management Data Management Data Quality Data Governance 144

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

AUGUST 7, 2023

However, managing and handling real-time data can be challenging due to its volume, velocity, and variety. This article will guide you through nine best practices […] The post 9 Best Practices for Real-Time Data Management appeared first on DATAVERSITY.

Real-time Data 246

Real-time Data Data Management Digital Transformation Customer Experience 246

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 144

Data Quality Data Management Master Data Management Data Governance 144

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

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

The Data Administration Newsletter

MAY 4, 2022

Getting to great data quality need not be a blood sport! This article aims to provide some practical insights gained from enterprise master data quality projects undertaken within the past […].

Data Quality 114

Data Quality Master Data Management Data Management 114

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

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

FEBRUARY 10, 2023

Likewise, at the back end, they must build a sturdy testing environment that prepares the application for big data inflows. As we know, chief information officers (CIOs) are at the helm of […] The post Understanding the Role of CIOs in Test Data Management appeared first on DATAVERSITY.

Data Management 228

Data Management Big Data Government Data Quality 228

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

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

Smart Data Collective

APRIL 29, 2020

As the world is gradually becoming more dependent on data, the services, tools and infrastructure are all the more important for businesses in every sector. Data management has become a fundamental business concern, and especially for businesses that are going through a digital transformation. What is data management?

Data Management 208

Data Management Data Warehouse Master Data Management Digital Transformation 208

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

The Data Administration Newsletter

MAY 1, 2024

If you look at Google Trends, you’ll see that the explosion of searches for generative AI (GenAI) and large language models correlates with the introduction of ChatGPT back in November 2022.

Data Quality 52

Data Quality Innovation Data Governance Artificial Intelligence 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

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

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

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

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.

Master Data Management 227

Master Data Management Data Management Data Governance Data Quality 227

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

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

Timo Elliott

MAY 19, 2023

You can see their full entryv” Enabling a Data-Driven Culture by Integrating SAP Solutions with SAP Business Technology Platform ” on the awards site. The need for a unified data system was pressing, and the journey to a data-driven culture started in 2017. It’s always about people!

Innovation 246

Innovation Digital Transformation Data Quality Procurement 246

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

Astera

APRIL 28, 2023

With the ever-increasing volume of data generated and collected by companies, manual data management practices are no longer effective. Artificial intelligence (AI) and intelligent systems have significantly contributed to data management, transforming how organizations collect, store, analyze, and leverage data.

Data Management 93

Data Management Artificial Intelligence Predictive Analytics Data Quality 93