While Data science is used to extract insights from the data after performing data preparation activities, decision science helps make the decision based on the insights with an aim to solve complex problems. Decision science integrates analytical and behavioral approaches to decision making. Decision science depends on data science to extract insights from the data. The decision science field integrates and builds upon data sciences by adding business context, design thinking, and behavioral sciences.
Data scientists look at the data to extract insights and build models of high accuracy without caring much overall impact on business outcomes. However, decision scientists see data as a tool to make decisions. For decision scientists, the business problem is of paramount importance. Unlike data scientists, decision scientists need to have both business acumen and analytical ability.

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