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

Comet Global Consulting

Comet Global Consulting specializes in supporting the successful implementation of CRM, marketing, and decision management solutions. Comet delivers complex, real world, inbound, and outbound marketing and customer management technology solutions ensuring that marketing reaches the right customers at the moments that most influence their decisions. Comet has a proven track record from many years of experience in translating marketing requirements into practical technology implementations for global customer service focused enterprises.

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