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

Organizations that invest in analytics without an aligned data & analytics strategy are burning money in the name of data. Here’s how you can create a successful data strategy that delivers value.

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

We have become accustomed to dashboards and data reports in our modern, data-driven businesses. However, the question is whether there are better ways to connect people with the insights they need.

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

Explore real-world examples of how to use the feature to speed up PPC data processing and visualization, insights generation, and more.

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 ...

Summary Data censoring is a significant issue in the realm of analytics and model building, particularly in the context of credit applications.