How should a company begin to put in place a data quality management strategy? First, as with all disciplines, IT executives must assess the current state of data in the enterprise. Once they’ve ...

Top-notch data operations are essential for enhanced decision-making, operational efficiency, and fueling AI. Here’s how IT leaders are evolving their data management strategies to make the most of ...

ACES Quality Management acquires BaseCap Analytics, adding data quality automation and validation to its enterprise software.

PARK CITY, Utah--(BUSINESS WIRE)--Reltio, the leading cloud-native, SaaS MDM company that accelerates the value of data for businesses, today announced multiple new capabilities within Reltio’s ...

Data quality testing platform Soda Data NV today announced the launch of SodaGPT, a data management platform that uses generative artificial intelligence to help users define data quality expectations ...

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 ...

Today, the amount of data that an organization needs to manage and analyze overwhelms many CEOs. Their concerns are not unfounded. Data management is about defining processes and procedures to ensure ...

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 ...

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What does a data quality manager do? Your email has been sent A data quality manager is responsible for assessing, managing and maintaining data quality across an organization. This can include ...

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 ...

Last time we looked at the essentials of Data Collection. Now, we’ll take a look at the five main points to address to achieve higher levels of data quality. Data quality begins at source which is the ...