Descriptive analytics is the process of analyzing data to find trends and patterns that support decision-making, monitoring, and other initiatives. It's the most fundamental building block of data ...

Explore the importance and benefits of descriptive analytics. Learn how analyzing historical data can provide valuable insights to apply into your business.

Descriptive analytics refers to a process whereby historical data is interpreted to understand changes in business operations.

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

Understanding the difference between descriptive, predictive, and prescriptive analytics can set you on the right path to finding a viable and productive solution for your business—but beware of ...

Data analytics is a discipline focused on extracting insights from data, including the analysis, collection, organization, and storage of data, as well as the tools and techniques to do so.

Raw data would make all of this impossible or hard to figure out but these two techniques – data visualization and descriptive statistics – can make it easy. “When it comes to data visualization and ...

Brands today have huge amounts of data on their customers. When it comes to customer experience, data analytics can be broken down into three key areas: descriptive analytics, prescriptive ...