Prescriptive analytics is nothing short of automating your business. But there's lots of hard work, and many stages you need to go through before you get there.

It's tough to build a modern successful business without good analytics, and prescriptive analytics is the linchpin that makes all the other models and analyses worth it.

When it comes to customer experience, data analytics can be broken down into three key areas: descriptive analytics, prescriptive analytics and predictive analytics.

Using Both Types Of Analytics To Optimize The Customer Journey Both descriptive and prescriptive analytics play a part in optimizing your customer experience.

Prescriptive analytics has become a real competitive advantage for marketers. Here's why. Analytics has long been the backbone of marketing success. Analytics enables marketers to make data-driven ...

Prescriptive analytics leverages big data and machine learning (ML) to provide recommendations, forecast outcomes, and prescribe courses of action. This ebook offers an in-depth look at how this ...

Here we explore the ways predictive analytics and prescriptive analytics are being used in the call center today, and trends to watch for tomorrow.

For example, a prescriptive analytics-driven learning management system could recommend additional material or Web sites to a student with poor performance pertaining to a specific topic.

Prescriptive analytics has my attention. Most users don’t have time to assess data – they need exception alerts and next best actions. Here’s what I’ve learned talking to Profitect customers.

For example, a prescriptive analytics-driven learning management system could recommend additional material or Web sites to a student with poor performance pertaining to a specific topic.