Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Increasingly more corporate boards and executives understand the importance of data for ...

Nearly every major privacy law requires “data quality,” but it’s become the most forgotten of all of the internationally recognized privacy principles. Why? Three reasons: The laws provide few details ...

DQM is becoming a core capability for organizations that need to make better decisions with data. What are the responsibilities of different roles in DQM? Image: WrightStudio/Adobe Stock Data quality ...

In this special guest feature, David Kolinek, Vice President of Product, Ataccama, asks why data quality is so important? Sometimes taking a step back and reviewing the basics can help clear things up ...

Randy Barrett is a freelance writer and editor based in Washington, D.C. A large part of his portfolio career includes teaching banjo and fiddle as well as performing professionally. An organization ...

Observability by definition is a measure of how well internal states of a system can be inferred from knowledge of its external outputs. In other words, a system’s behavior is determined from its ...

Poor data quality costs organizations an average of $12.9 million a year. Organizations are beginning to recognize that not only does it have a direct impact on revenue over the long term, but poor ...

AIOps, or artificial intelligence for IT operations, may be just what the doctor ordered for beleaguered IT shops. Applying advanced automation to countless rote IT functions will free up IT ...

When generative artificial intelligence (genAI) burst into prominence with the release of ChatGPT in 2022, technically savvy business users quickly began experimenting. At that time, existing tools ...