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 ...

While older concepts, such as descriptive analytics, can be done using hand-tuned scripts and/or SQL queries, newer modalities rely on machine learning algorithms and expansive data sets to ...

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

PeopleImages/ Getty Images Descriptive analytics refers to the interpretation of historical data to better understand changes that occur in a business. Descriptive analytics describes the use ...

Both descriptive and prescriptive analytics play key roles here. But what do we mean when we use the terms “descriptive” and “prescriptive”? Let’s explore them in detail and discuss how ...

For more than a decade I have talked about only three types of analytics: descriptive, predictive, and prescriptive. This trinity of analytics variations has worked well for me, and many others ...

Over the past several years, technology has rapidly changed what enterprise analytics can do. Analytical approaches that incorporate predictive models have begun to displace merely descriptive ...

But, with that said, I want to make the caveat that descriptive analytics are not going anywhere. Even though it’s very simple, and it’s not the ‘next big thing’ like prescriptive ...

Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools, and techniques of data analysis and management, including the collection, organization ...