Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Data quality in the modern economy, where data-driving action is critical to business ...

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.

Pharma teams don't just need more data — they need a unified data picture to make faster, better decisions. In this session, the featured speakers will show how Norstella breaks down siloes by ...

When generative artificial intelligence (genAI) burst into prominence with the release of ChatGPT in 2022, technically savvy business users quickly began experimenting. At that time, existing tools ...

Marketing’s potential to deliver results relies on data quality, but data accuracy, consistency, and validity continue to be a challenge for many organizations. Inconsistent data quality is holding ...

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 ...

Linying Dong is affiliated with Ryerson University, and volunteers at the Board of Directors of Carefirst. Karim Keshavjee is the CEO and majority shareholder of InfoClin Inc, an organization that ...

Cint selects Rep Data’s Research Defender as an ongoing quality technology partner, while Rep Data expands its sample ...