Managers know well the utility of business analytics for decision-making purposes.Nonetheless, quantitative scrutiny on the link between management and businessanalytics remains unexplored. We address this gap by combining bibliometric datacollection techniques with text mining and ego-centric network analyses followingreproducible research standards. Results show that only 12.33% of a total of 381sampled documents from the Scopus database revealed an explicit link between theterm “management” with the bigram “business analytics” and the size the ego-centric network proved to be almost a quarter of the size of the extensive networkthat represents all conceptual keyword co-occurrences in the literature. We arguethat, in contrast to common wisdom, our results suggest that the link betweenbusiness analytics and management remains incipient, and this has essential teach-ing implications for business schools aiming at including business analytics in theircurricula.