To establish a consistent approach to assess, manage and improve data quality across the data lifecycle, covering a wide spectrum of data types, and taking into account the blurred line between data ...
An article recently published in Nature proposes a new way to evaluate data quality for artificial intelligence used in healthcare. Several documentation efforts and frameworks already exist to ...
Unlock the power of your data with an effective data governance framework for security, compliance, and decision-making. Data governance frameworks are structured approaches to managing and utilizing ...
BOSTON, Jan. 28, 2026 (GLOBE NEWSWIRE) -- Ataccama, the data trust company, today announced it has been named a Leader in The Forrester Wave™: Data Quality Solutions, 2026. Ataccama received the ...
From cost reduction to improved efficiency, upholding data quality improves the accuracy of analytics and enhances business decision-making capabilities. However, simply having a data quality ...
We developed a framework of five data quality dimensions (DQD; completeness, concordance, conformance, plausibility, and temporality). Participants signed a consent and Health Insurance Portability ...
The UK Financial Conduct Authority (FCA) has published a new webpage summarising the findings of its multi-firm review into how benchmark administrators (BMA) manage data-related risks. While the FCA ...
Data quality in the modern economy, where data-driving action is critical to business success, can no longer be perceived as mere tech detail. Business leaders increasingly use data to make strategic ...
1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump raw data into a lake and clean it up later. For AI Agents, this is ...
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