This paper address challenges and pitfalls associated with BDA in operations management that increase the risk of tampering. i.e. actions taken by misinterpreted data that worsen rather than improve performance. Through a rapid literature review, the paper identifies pitfalls in data management, data analysis, and decision-making. Findings reveal an overrepresentation of reported challenges on data management, with significantly less attention given to the subsequent stages of data analysis and decision-making. This paper suggest that more research is needed on how users interact with data, how dashboards and BI tools affect decision-making, and what organisational conditions contribute to tampering in BDA.