Data Science vs. Business Intelligence

Data Analysis Fields

• Data Science uses mathematics, statistics, and other tools to discover hidden patterns in the data.
• Data Analytics mainly deals with structured data.
• Data Science is more focused on the future.
• Data Analytics makes use of the analytic method.
• Data Science has greater business value in anticipating future events.
• Data Analytics is more flexible in terms of adding data sources as per requirement.
• Business Intelligence uses the ETL (Extract-Transform-Load) process for data integration in its applications.
• Business Intelligence tools include Power BI, R, and Tabulae.
• Data Science mainly uses tools like R, Python programming, SAS, BigML, MATLAB, and Excel.
• Business Intelligence is where enterprises use a set of technologies, applications, and processes for business data analysis.

Explore the key differences between Data Science and Business Intelligence in terms of concept, scope, and focus on data. Understand how Data Science utilizes mathematics and statistics to discover hidden patterns, while Business Intelligence emphasizes technologies and processes for business data analysis.