Business Intelligence vs Big Data Science: What’s The Difference?

Business Intelligence vs Big Data Science: What’s The Difference?

Running business operations in the past was not easy but, the rise in technology has made the process much smoother since then. Business Intelligence and Big Data Science plays a very important role in data analysis. Cloud computing and other such technological advances has encouraged businesses to focus up on their data, using the same for improvement and predicting future prospects.

Business intelligence and Big Data work well together, but often raise the question if they are the same. Even though they have some common functionalities, they are still very different from each other. This blog will act as a guide to what is the difference between business intelligence and big data science.

What is Business Intelligence?

Business intelligence is an automation technology that allows businesses to convert raw data into meaningful insights. It is largely used to design strategies and improvement plans on the basis of data analysis.  BI has two main components: obtaining data and the output of the process. While working, you need to be sure about what is required amongst the two. Learning how to utilize the tools and tactics can be acquired by pursuing a skill development training in Business Intelligence.

What is Big Data Science?

Data is one of the most valuable resources of a business. Data Science is a collection of multi-disciplinary tools that can help you in studying a set of data and finding out the recurring patterns. The process of collecting, manipulating and analyzing data to understand the future trends is known as Data Science.

 To find out these patterns, a data scientist must have a profound knowledge about various data operations and machine learning. Since, the backbone of Big Data Science is mathematics, statistics and programming, making it a specialization that requires specific skills to manage data operations like an expert.

Difference Between Business Intelligence and Big Data Science

As mentioned above, BI and Big Data may look like the same but are actually quite different from each. Let’s dig into what makes them different from each other.

  • Focus: BI focuses on the delivery of accurate report by analyzing the data source and the historical trends. Whereas, Big Data concentrates on extracting data and using it to predict the future outcomings of the business.
  • Data Management: BI is designed to deal with only the structured data while, Big Data deals with both unstructured and structured data.
  • Method: An analytical approach is taken while working with Business Intelligence. Big Data on the other hand has a mathematical and scientific approach.
  • Tools- Some of the most commonly used tools for Business Intelligence are Power BI, Tableau, Qlik Sense, Online Analytical Processing (OLAP), etc. For Big Data Science tools like Hadoop, Spark, Hive, Polybase, Cloudera, etc. are often used.
  • Applied Fields- Fields like social media, healthcare, gaming industry, etc. can make the most out of using Business Intelligence. And using Big Data Science is beneficial for industries such as banking sector, entertainment, retail, wholesale and more.


Data analysis can help you become organized and efficient hence, it has become important to involve Business Intelligence or Big Data Science in your work process. This blog offers a brief introduction to both BI and Data Science but, you will need more than this to become an expert. To dive in deep and procure the knowledge required, check out our Business Intelligence and Big Data Training Programs .