Business Intelligence and Data Analytics are the two terms that oftentimes are used interchangeably - which is a misconception. While they have some characteristics in common, Business Intelligence and Data Analytics have some subtle differences.
Business Intelligence is a mix of strategies and technologies, with the end goal of helping end-users analyze data themselves and make data-informed decisions. BI is essential to data management and performance management.
Data Analytics is about turning raw or unstructured data into formats that are understandable and meaningful to non-IT users. Data after being converted can be processed further in many ways: cleansing, transforming, or modeling. The goal of data analytics is also to inform decision-making and lay the basis for predictive analytics.
In this article, let’s explore some of the key differences between Business Intelligence and Data Analytics.