Today, corporate boards and executives understand the importance of data and analytics for improved business performance. However, most of the data in enterprises is of poor quality, hence the majority of the data and analytics fail. To improve the quality of data, more than 80% of the work in data analytics projects is on data […]
Transforming Data Management with AI-Driven Data Catalogs
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. According to recent research by Accenture, only 25% of organizations are […]
Elements of a Modern Data Warehouse
Businesses are generating vast amounts of information every second. Traditional data warehouses, which were once considered the gold standard for handling and analyzing large datasets, are struggling to keep up with the rapid pace of data growth and evolving analytics requirements. This has given rise to the concept of modern data warehouse, which provides a […]
The Cool Kids Corner: Data Quality Is Not a Fish You Can Catch
Hello! I’m Mark Horseman, and welcome to The Cool Kids Corner. This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. (Read last month’s column here.) This month we’re talking about Data Quality (DQ). Data Quality, the phrase “garbage in, garbage out,” dirty data, data […]
Critical Data Elements Explained
The process of identifying critical data elements (CDEs) is a fairly new best practice in Data Governance programs. Software does not yet support the identification process. CDEs may be described as the specific data needed for doing business (requiring high-quality data) or the specific data that is extremely sensitive (requiring good security). These particular data […]
How to Become a Data Governance Specialist
A Data Governance specialist is responsible for deploying and enforcing policies and procedures that ensure data is used and maintained properly. Some organizations confuse the title “Data Governance (DG) Specialist” with the title “Data Governance Manager.” The DG specialist is not a member of upper-level management and does not dictate policy. This person, however, must […]
Why Is Data Quality Still So Hard to Achieve?
We exist in a diversified era of data tools up and down the stack – from storage to algorithm testing to stunning business insights. In fact, it’s been more than three decades of innovation in this market, resulting in the development of thousands of data tools and a global data preparation tools market size that’s set […]
Why Master Data Management (MDM) and AI Go Hand in Hand
Organizations have long struggled with the “eternal data problem” – that is, how to collect, store, and manage the massive amount of data their businesses generate. 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 […]
Data Governance vs. Data Management
When managers and workers discuss Data Governance (DG), a business program that supports harmonized data activities, vs. Data Management (DM), a comprehensive collection of practices, concepts, and processes dedicated to leveraging data assets, they often use the terms interchangeably. Sometimes, both words point to the same concepts, and these conversations remain productive. At other times, switching between […]
Understanding Data Observability Tools
Data observability tools have become increasingly important as businesses rely more and more on data-driven decision-making. These tools are used to support the data’s reliability, consistency, and accuracy throughout the business. Data observability has become necessary for developing trustworthy data and diagnosing data flow problems that interfere with the business’s objectives. Data observability tools normally […]