Data thinking
Framework for analyzing data / From Wikipedia, the free encyclopedia
Data thinking is a product design framework with a particular emphasis on data science. It integrates elements of computational thinking, statistical thinking, and domain thinking.[1] In the context of product development, data thinking is a framework to explore, design, develop and validate data-driven solutions. Data thinking combines data science with design thinking and therefore, the focus of this approach includes user experience as well as data analytics and data collection.[2][3][4][5]
This article contains wording that promotes the subject in a subjective manner without imparting real information. (May 2021) |
Data thinking is a mindset that promotes data literacy and encourages both organizations and individuals to make data-driven decisions. By incorporating data thinking into the product development process, organizations can create more user-centered products that are informed by data and insights, rather than intuition. Meanwhile, individuals can make data-based conclusions and avoid external bias.