There are wide discrepancies in data quality for hotel transactions across global regions, with the largest occurring in Asia-Pacific. Because hotels and agencies need to harness data quality to ...

1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump ...

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 ...

Generative artificial intelligence (AI) is expected to see accelerated adoption in the next two years, with an overwhelming majority (97%) of organizations planning to invest in the technology. These ...

Sandesh Gawande, with 29+ years of experience in data and CEO of iceDQ: We engineer data reliability, because quality is never an accident. Organizations are investing heavily in AI and big data ...

The data purgatory hits major technology initiatives like AI projects when obstacles are created by data accuracy, quality, and accessibility. Fast Company has put a spotlight on the make-or-break ...

Data is critical to every business, but when the volume of information and the complexity of pipelines grow, things are bound to break! According to a new survey of 200 data professionals working in ...

New details from the Bureau of Labor Statistics (BLS) reductions reveal a concerning decline in the quality and integrity of U.S. economic statistics. Cutbacks in Consumer Price Index (CPI) data ...

As companies rely more heavily on real-time analytics and AI-driven tools, data engineering is evolving into a role that directly shapes how a business operates.

AI investments are being built on flawed data as business leaders struggle to make quality a priority. 81% of AI professionals say their company still has significant data quality issues, yet 85% ...