What is the difference between Business Intelligence and Data Science ?

Question

Varinderjit Kaur · Accepted Answer

Both business intelligence and data science are crucial part of data driven organization.

Purpose of data science is to explore and analyze complex datasets to discover patterns and get insights out of it. It generally involves predictions and prescriptive models involving assessing historical data and help organizations to take actions. Data science would also require researches, a lot of experimentation while developing algorithms and models. Skills required: python, sql, statistics and maths, machine learning etc

On the other data BI provides insights from data to take better business decisions. The main focus is on descriptive analytics to understand what happened in the business and how can we use those trends today. This would require great business knowledge and an ability to translate complex business problems into tech solutions.  Skills required: python, sql, bi tools etc

Naveen Kumar A · Answer

In simple words, data science is for future - to do 'what if' analysis wheras business intelligence is for present and past - to do 'what happened' analysis.

priyanka rajput · Answer

The difference between Business Intelligence (BI) and Data Science lies in their focus and scope:

Business Intelligence (BI):

Focus: BI primarily focuses on analyzing past and present data to help businesses make informed decisions.
Scope: It involves querying, reporting, and visualization of structured data from databases and data warehouses.
Goal: BI aims to provide historical, descriptive, and diagnostic insights to support strategic and operational decisions within an organization.
Data Science:

Focus: Data Science focuses on extracting knowledge and insights from both structured and unstructured data using advanced algorithms and statistical methods.
Scope: It encompasses data cleaning, preprocessing, exploratory data analysis, predictive modeling, machine learning, and sometimes deep learning.
Goal: Data Science aims to uncover patterns, trends, and correlations in data to predict future outcomes, automate processes, and optimize decision-making.
In essence, while Business Intelligence emphasizes historical and descriptive analytics for decision support, Data Science leverages advanced techniques to explore data for predictive and prescriptive insights, often involving more complex algorithms and computational methods.

What is the difference between Business Intelligence and Data Science ?

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