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

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.

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

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 ...

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

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

Let's take a look at how you can harness the power of data analytics to drive digital marketing success.

For example, analyzing past online buyer behavior and influences. SEE: How to Measure Data Quality (TechRepublic) What are the differences between BI, AI, and data analytics?

By now, you’ve probably already heard plenty about data in intelligent transportation. By their very nature, technologies that support intelligent transportation programs capture massive amounts ...

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 ...