Data-driven Decision Making
Data-Driven Decision Making is a strategic decision-making process that relies on the systematic collection, analysis, and interpretation of quantitative and qualitative data to guide organizational actions and choices, distinguishing itself from intuition-based or heuristic approaches by prioritizing empirical evidence derived from digital systems, analytics platforms, and real-time information flows.
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2017–2026
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Data-driven Decision-makingDddm
Parents
2.2K
Xindong Wu, Xingquan Zhu, Gongqing Wu et al. · IEEE Transactions on Knowledge and Data Engineering · 2013 · 2.4K citations
Solon Barocas, Andrew D. Selbst · SSRN Electronic Journal · 2016 · 2.1K citations · Full text
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University of Technology Sydney
Sydney, Australia
21 h-index
50 publications
3.5K citations

University of Twente
Enschede, The Netherlands
19 h-index
48 publications
3.6K citations
New York University
New York, United States
16 h-index
22 publications
3.9K citations
Massachusetts Institute of Technology
Cambridge, United States
15 h-index
18 publications
1.9K citations

Monash University
Melbourne, Australia
15 h-index
22 publications
1.1K citations
Carnegie Mellon University
Pittsburgh, United States
14 h-index
50 publications
5.4K citations
University of Michigan
Ann Arbor, United States
14 h-index
39 publications
3.8K citations
Microsoft (United States)
Redmond, United States
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25 publications
3.3K citations
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JBR · 24 publications · 5.5K citations
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JAIS · 21 publications · 1K citations
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Repository · 23 publications · 3.7K citations
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