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Chapter 2 24 Big data and analytics are gaining momentum ever more quickly, particularly in the practitioner world. However, empirical evidence linking big data and analytics to improved performance in organizational contexts seems scarce and focused on the macro-level within specific management functions (mainly Information Technology). From Web of Science, we obtained a dataset of 327 primary studies and 1252 secondary papers in order to synthesize past research findings and advance our knowledge of applied big data and analytics. We explored the linkage between big data, analytics, and performance from a management perspective via three bibliometric review methods. First, we elucidate the intellectual foundations of the relationship via co-citation analysis. Second, we visualize the historical evolution of the field and its substreams via algorithmic historiography. Third, we provide insightful prospects on the field’s potential evolution by means of bibliographic coupling analysis. Our results display the small dozens of somewhat dispersed streams of big data and analytics research as well as their fragmented evolution. However, our results also demonstrate that the move towards cross-functional collaborations has commenced. Finally, we provide insight into the state of data analytics in the different functional management domains and the gaps for both research and practice.