Data Science: In its most basic form, data science is the study of how to draw knowledge and information from data by utilizing various scientific methods, algorithms, and processes. In order to find hidden patterns and insights in data that enhance decision-making, it is therefore characterized as a combination of several mathematical tools, algorithms, statistics, and machine learning techniques. Data science deals with both organized and unstructured data. Big data and data mining are relevant to it. Data science is the study of past trends and the use of its findings to reinterpret present trends and predict future trends.

Business intelligence (BI): In essence, business intelligence (BI) refers to a group of tools, software, and processes that firms employ to examine financial data. In essence, it converts raw data into knowledge that can be applied to decision-making in business and to lucrative activities. It deals with analyzing organized and occasionally unstructured data to uncover novel, fruitful business prospects. Instead of relying on assumptions, it promotes fact-based decision-making. It consequently has a direct impact on how an organization takes business decisions. Business intelligence tools increase a company's chances of breaking into a new market and help analyze the outcomes of marketing campaigns.