AI has moved from speculation to reality, yet most organizations remain stuck between experimentation and execution. While leadership teams understand AI's potential, the gap between testing and ...

The "big" in "big data" is a function of the volume, variety, and velocity of the information that constitutes it. If you read a dozen articles on big data, there's a good chance the 3 Vs -- volume, ...

Big data analytics is where advanced analytic techniques operate on big data sets—one of the most profound trends in business intelligence today. Using advanced analytics, businesses can study big ...

A semantic layer is a layer of abstraction that separates the physical view of data from the view seen by business users. It provides a logical view of the data that is easier to understand and work ...

A misdiagnosed patient. A denied mortgage. A fraud alert that locks out a legitimate customer. These aren’t edge cases—they’re recurring failures of systems never meant to make high-stakes decisions ...

Data governance is a continuous journey that must evolve alongside the changing needs of an organization. It focuses on the people, practices, and platforms that ensure business data is always ...

Joint controller is not a new concept in the GDPR. In fact, it has been part of the law since its inception in 2018. However, the definition for the term “joint controller” has been updated as part of ...

At TDWI's Executive Summit in San Diego, Mark Madsen posed the provocative question: is there a statistically significant correlation between sales of beer and sales of diapers? Madsen, a research ...

Data Stories: Unit Charts, Multiple Axes, Chart Interpretation How to use a unit chart, a case for using multiple axes, and interpreting chart design. By Upside Staff Stacks of Symbols Considering the ...

All organizations want accurate data to run their operations. Getting data into a useful format is the focus of significant industry attention, whether that data comes from social media, structured ...

A recent study yielded some dismal findings that won’t shock anyone who has worked in data engineering. Of the 600 data engineers surveyed, nearly all (97 percent) are experiencing burnout. In ...

Enterprises rely on robust data quality management to address challenges and seize strategic and operational advantages in today’s business environment. Data quality management—often known as ...