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 ...

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 ...

Picture this: You're a business owner struggling with your competitors. Sales are decreasing, and you're not sure why. You start to pay attention to your website and social media channels, analyzing ...

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 ...

Data classification is an essential pre-requisite to data protection, security and compliance. Firms need to know where their data is and the types of data they hold. Organisations also need to ...

Pressure to deploy AI is rising. But flawed data means flawed insights, and leaders are calling for a data strategy overhaul.

The Global Data Quality Tools market accounted for USD 673.2 Million in 2020 and is expected to reach USD 2371.9 Million by 2028 The Global Data Quality Tools market accounted for USD 673.2 Million in ...

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 ...

Tools that clean or correct data by getting rid of typos, formatting errors, and unnecessary and expendable data are known as data quality tools. These tools help organizations implement rules, ...