Data Science vs. Decision Science

April 15, 2019

Data science has become a widely used term and a buzzword as well. It is a broad field representing a combination of multiple disciplines. However, there are adjacent areas that deserve proper attention and should not be confused with data science. One of them is decision science. Its importance should not be underestimated, so it is useful to know the actual differences and peculiarities of these two fields. Data science and decision science are related but still separate fields, so at some points, it might be hard to compare them directly.In general, data scientist is a specialist involved in finding insights from data after this data has been collected, processed, and structured by data engineer. Decision scientist considers data as a tool to make decisions and solve business problems. To demonstrate other differences, we decided to prepare an infographic which puts data science and decision science in contrast according to several criteria. Let’s dive right in.

Spotlight

Celect, Inc.

Celect is a predictive analytics platform that enables retail buyers, merchandisers, planners and inventory analysts to increase sales, margins, and reduce markdowns by placing the right product, in the right place, at the right time - across all channels. By turning big data into smart data, Celect allows retailers to understand how an individual customer shopping at a specific location chooses from an assortment of products. The technology builds on a fundamental advance in customer choice modeling and machine learning called by MIT’s Computer Science and Artificial Intelligence Laboratory, one of the 50 greatest innovations it has ever produced.

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Celect is a predictive analytics platform that enables retail buyers, merchandisers, planners and inventory analysts to increase sales, margins, and reduce markdowns by placing the right product, in the right place, at the right time - across all channels. By turning big data into smart data, Celect allows retailers to understand how an individual customer shopping at a specific location chooses from an assortment of products. The technology builds on a fundamental advance in customer choice modeling and machine learning called by MIT’s Computer Science and Artificial Intelligence Laboratory, one of the 50 greatest innovations it has ever produced.

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