Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...

Predictive and prescriptive analytics take the data that is being streamed in, predict what’s going to happen, and prescribe what kind of corrective actions need to be taken. Cloudera enables this ...

Let me give you a quick example of prescriptive analytics in action. One of our fashion customers used Profitect’s Inventory module to identify a new product with a higher rate of return.

A good example of the use of prescriptive analytics in the benefits industry is around prescription drug savings. Prescriptive analytics can leverage data to help spur prescription drug savings by ...

Good news: there's nothing special about getting your data ready for prescriptive analytics. Bad news: you need to do what's needed to get your data ready for any type of analytics - and that's ...

Predictive models help the organization understand the future and develop a picture of what that future may look like. Prescriptive analytics helps the organization influence and change that future.

Data analytics is transforming the enterprise. Here's everything you need to know about one of the latest analytics trends.

What are predictive and prescriptive analytics? Predictive analytics rely on intelligent algorithms that use high volumes of historical data to provide businesses with informed predictions.

Prescriptive maintenance, Chappell says, goes a step beyond anomaly detection to look at which specific tags are contributors to the detected anomalies. With prescriptive, you not only know you have ...

Prescriptive modeling—the use of metrics to anticipate future business demands and prepare a legal department to meet them—is the next big step for data analytics.

Healthcare has had higher barriers to adopting data science than other industries. And while state-of-the-art analytics solutions are already available, few of them are actually in use by clinicians.