Analytics that seek to determine what should be done

The process of turning raw data into actionable insights that lead to good business decisions

Data that has a clearly defined order and may or may not have numbers associated with it $($such as customer satisfaction rankings and employee rank$)$

Data characterized by five Vs: volume, velocity, variety, veracity, and value

Data that is not organized into predefined categories

Analytics that help uncover the root cause of the current state

Analytics that seek to predict what will happen in the future

Data that represents things that have no numerical value $($such as customer name, state, and distribution channel$)$

A collection of observations

The art and science of communicating quantitative information through visual presentations

Analytics that collect, analyze, learn, and adjust without human intervention

Data that is highly organized into predefined discreet categories, often contains labels, and is fairly easy to search and manipulate

Analytics that describe what has happened or is happening

Data that can be measured, counted, and aggregated $($such as sales revenue, number of customers, and cost of product$)$