If you’re running a business that handles a lot of data, you may have noticed that data analytics has become a key driver for identifying new opportunities. Various businesses are leveraging different ...

In explaining a data and analytics operating model, it is helpful to understand the business context. As the consumer experience becomes increasingly digitized, companies have access to massive troves ...

Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...

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Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...

Our experts break down the data and measurement challenges facing marketers as we go into 2026, from legacy metrics and ...

Microsoft announced Monday that it acquired Osmos, a Seattle startup that helps companies automate data engineering work.

Founder and Managing Principal of DBP Institute. I consult companies on how to transform technology and data into a valuable business asset. There are many reasons for this poor success rate, one of ...

The Heisenberg uncertainty principle, which has origins in physics, "states that there is a limit to the precision with which certain pairs of physical properties of a particle, such as position and ...

Buy-side firms are consistently faced with burgeoning volumes of data, necessitating adept management of expansive data extractions, a task fraught with intricacies and considerable costs. Arthur Orts ...