Prescriptive analytics makes use of machine learning to help businesses decide a course of action, based on a computer program’s predictions.

Certainly most examples require machine learning, a significant element of data analytics, and – increasingly – support from artificial intelligence software.

Today’s healthcare providers are in a bind. Demand for services is rising while reimbursement is declining. Amid these circumstances, many healthcare organizations find themselves trapped in a cycle ...

Examples of Immersive Data Analytics Bad er, the world's first immersive data analytics platform, makes it easier to get value from data without special training.

Want smarter, faster decisions? A metrics layer keeps everyone on the same page with consistent, reliable numbers.

As business leaders strive to get the most out of their analytics investments, democratized data science often appears to offer the perfect solution. Using analytics software with no-code and low ...

Discover best practices that allow data pipelines to scale and support both structured and unstructured data.

The Houston Astros appear to have used data unethically. Other teams and organizations have done so as well. Does the competitive use of data and analytics lead to ethical problems?

Ever since the Oakland A's started playing Moneyball in the early 2000s, professional sports teams have been clamoring to implement data analytics to obtain a competitive advantage. While predictive ...

AI-enhanced prescriptive analytics is no longer optional — it’s the strategic engine behind real-time decisions, optimization and competitive edge in 2025.