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 ...

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 ...

Descriptive analytics gives an accurate view of what has transpired and how individual marketing channels are performing, and it provides insights that marketers can use to make better decisions.

By design descriptive and diagnostic analytics are lookback solutions. They answer the ‘What’ (ex. what is my sales in the Eastern region) and the ‘Why’ (ex. why is my customer attrition ...

BI focuses on descriptive analytics, data collection, data storage, knowledge management, and data analysis to evaluate past business data and better understand currently known information.

The first rule of prescriptive analytics is that you do not talk about prescriptive analytics—not before you've paid your dues in descriptive, diagnostic, and predictive analytics.

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.

Descriptive Analytics. If you want to know what happened, use descriptive analytics. Until recently, this is how most companies used data—to see what had happened in the past.