Concepedia

Concept

data-driven innovation

Parents

1.7K

Publications

98.5K

Citations

4.3K

Authors

1.7K

Institutions

About

Data-driven innovation is a research concept and methodological approach focused on leveraging data to generate novel insights, develop transformative products, services, or processes, and create significant value. This field investigates the principles, techniques, implementation strategies, and societal impacts of systematically applying data analysis and predictive modeling to drive innovation. Characterized by its reliance on empirical evidence, analytical rigor, and potential for disruptive change, data-driven innovation holds profound significance for organizational competitiveness, industrial transformation, and societal advancement.

Top Authors

Rankings shown are based on concept H-Index.

MJ

Delft University of Technology

SF

TBS Education

SA

University of Wollongong

PM

Norwegian University of Science and Technology

AL

Georgia Institute of Technology

Top Institutions

Rankings shown are based on concept H-Index.

Delft University of Technology

Delft, The Netherlands

Georgia Institute of Technology

Atlanta, United States

TBS Education

Toulouse, France

University of California, Berkeley

Berkeley, United States