Data quality management is a crucial part of any data integration process. It may be considered the first step to the integration process, as quality data is the key to achieving profitable insights.

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...

It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...

Data quality management efforts — tied to disrupting innovations, rapid market shifts and regulation pressures — will continue to grow in 2023 and take on a more dominant role in the data management ...

Ever since I was a child, water has been my drink of choice, having never quite developed an affinity for soda and other carbonated drinks. While I’ve admittedly developed an affection for coffee as ...

In recent years, there’s been an explosion of tools that allow businesses to connect, transform, analyze and serve data from all kinds of sources. Combined with the increasing pressure on businesses ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

The authors argue that effective data management must be treated as an end-to-end supply chain capability rather than a set ...

During the past 50 years, the developed world has moved from an industrial economy to an information economy. Companies now compete on their ability to absorb and respond to information, not just ...