We rate Uber drivers, restaurants, Amazon delivery, and much more, but when it comes to our own health experience, we often have little to no data. That’s especially scary because the business model ...

Quality metrics are an objective, verifiable number. Unlike subjective data, the number is both quantifiable and can be confirmed. The potential downside to quality metrics is that the data may be ...

Data-driven decisions require data that is trustworthy, available, and timely. Upping the dataops game is a worthwhile way to offer business leaders reliable insights. Measuring quality of any kind ...

The growing relevance of data quality has revealed the need for adequate measurement since quantifying data quality is essential for planning quality measures in an economic manner. This paper ...

“The Sell Sider” is a column written by the sell side of the digital media community. Today’s column is written by Declan Owens, digital analytics expert at Piano. As the deprecation of third-party ...

This vendor-written tech primer has been edited by Network World to eliminate product promotion, but readers should note it will likely favor the submitter’s approach. Software asset management (SAM) ...

In this podcast, we talk with Cody David, solutions architect with Syniti, which is part of Capgemini, about the importance of ensuring data quality for artificial intelligence (AI) workloads. Being ...

Use high-fidelity micro-conversions to tighten feedback loops, sharpen bidding, and keep long-cycle campaigns from drifting ...

Once you have a vision statement in place, find out how to choose the right indicators that will determine if you’re meeting those goals on a daily basis. To measure your company’s vision requires a ...

The best-performing organizations have decision-makers who focus on clarity, accountability and support when implementing ...

A new paper shows how Apple is exploring deeper cardiac health insights with the help of AI and a simple optical sensor. Here ...

Quality data is the cornerstone of good business decisions. To ensure your data is high quality, it must first be measured. Organizations struggle to maintain good data quality, especially as ...