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Differences Between Business Intelligence and Data Science

Last updated: 09-15-2020

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Differences Between Business Intelligence and Data Science

In this article we will present some differences between the concept of Business Intelligence and Data Science and its main distinctive features.

Business Intelligence: Work with analysis data platforms in a given company/organization. We can say that data analysis professionals specialize in Data Analysis and its Tools than data scientists who perform these tasks.

Data Science: Besides knowing and working with analysis data platforms, data scientists can also work with various operations such as machine learning and artificial intelligence, for example. Besides the fact a data scientist works in a certain domain area.

Business Intelligence: BI is more attached to what happened in the past.

Data Science: is more attached to what will happen in the future although data from the past is also used.

Business Intelligence: The user is focused on the business area.

Business Intelligence: They normally work with structured data. Data are Wharehoused.

Data Science: The use of both structured and unstructured data. Usually the data are handled for real time use.

Business Intelligence: Usually the data is stored in data-warehouse.

Data Science: It is common here for data to be "stored" in clusters in real time operations.

Business Intelligence: What happened? Why did this happen? And so on.

Data Science: What will happen? If we do this how will it affect the results? And so on.

Business Intelligence: Through graphical results, help decision makers control their processes, helping organizations better understand certain actions and their past results and, to some extent, the insights gained can help in future decision making.

Data Science: The main output of a data scientist in an organization is to offer answers and solutions to a given problem. Besides knowing and performing some Business Intelligence functions, he should be able to through mathematical and statistical modeling, provide insights with a future oriented vision, that is, for example... how will the expected sales of the product "x" and "y" be in 6 months?

Business Intelligence: In the image below you can find several tools widely used by professionals in Business Intelligence, among them we can highlight:

Data Science: Some of the main tools focused on data science are found in the figure below, we can highlight:


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