In the age of big data, analytics tools have evolved beyond simple reporting. Today’s businesses rely heavily on two powerful ...

As these patterns emerge, we can move into the next phase of data science. Step Two: Diagnostic Analytics. For intellectually curious business leaders, visualization and explanation of historical ...

Not all data analytics are the same. Most experts divide data analytics into four key types, including descriptive, diagnostic, predictive and prescriptive.

A massive volume of data is handled at different levels of business analytics. There are four types of analytics: descriptive, diagnostic, predictive, and prescriptive – depending on the stage of ...

Predictive analytics takes descriptive and diagnostic analytics a step further by using current and past data to predict the future. For example, this type of analytics is used often in the ...

Descriptive Analytics This accounts for the biggest chunk of big data across industries and it tends to focus on what went wrong or assessing why outcomes are more or less than what was expected.

Image: max_776/Adobe Stock. Predictive modeling is a type of data mining that is used in a variety of situations and industries. This process involves creating statistical models that can make ...

In response, Platfora added several new capabilities with version 3.5 aimed at addressing the variety-of-data-types problem. For starters, it made some of the data transformation features in the ...

Good data also requires good analysis, and that analysis should boil things down in significant ways. “Having the expertise to match the data available with real and meaningful findings is the ...

Consider the types of data that are crucial for understanding your customer journey and achieving your goals. This might include web analytics, social media data, customer feedback and more. 2.