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 ...

Key findings show organizations averaging just 42/100 on data trust maturity, with the lowest scores in areas such as remediation workflows, policy enforcement, and reference/master data quality.

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 ...

Current centralized databases fail to provide the transparency and auditability demanded in the era of Industry 4.0. By ...

DQM is a core capability for organizations that need to make better data decisions. What are the responsibilities of different roles in DQM?

Such models can be termed as generation-1 data quality management models. However, to formalize the management of quality, a function can be set up.

Monte Carlo also releases Data Operations Dashboard to provide a single source of truth for data quality, and new integrations with Microsoft Fabric, Databricks Workflows, and Informatica to ...

Kore Integrate is the perfect platform to improve Data Quality Management, said Maxwell Dallinga in a recent blog post by Kore Tech. Data quality management is a process to ensure that data is ...

Data Governance Goals The primary aim of data and analytics (D&A) governance, our research has taught us, is aligning data ...

Reimagining Enterprise Data for the AI EraCAMPBELL, Calif., Aug. 27, 2025 (GLOBE NEWSWIRE) -- Acceldata, a leader in data observability and agentic data management, today announced the General ...