What Are the 4 Types of Data Analytics? Uses, Examples, and Applications
Data is everywhere – from the apps we use daily to the decisions businesses make every second. But raw data alone has no value unless it is analyzed correctly. This is where data analytics plays a critical role. Organizations rely on structured data analytics techniques to understand past performance, uncover reasons behind trends, predict future outcomes, and decide the best course of action.
Among the many frameworks available, one model stands out as the most widely accepted and used across industries – the four types of data analytics: descriptive, diagnostic, predictive, and prescriptive.