| Sumario: | The conditions of digital transformation and the increasing complexity of software products necessitate the use of modern business intelligence platforms to increase the transparency, manageability and predictability of software development processes. BI platforms provide data integration, operational monitoring of performance indicators and support for management decisions at all stages of the software life cycle. The purpose of the study is to determine the most effective ways to use BI platforms to support software development processes, as well as to analyze their capabilities to increase the transparency and validity of management decisions. The article examines the theoretical, conceptual and practical aspects of using modern business intelligence (BI) platforms to increase the efficiency of software development management (software). The features of BI solutions Power BI, Tableau, Qlik Sense, Looker and Domo were analyzed, their role in monitoring key performance indicators (KPI) and supporting management decision-making was determined. Particular attention was paid to the comparative analysis of the platforms' functional capabilities and the specifics of their use in Agile and DevOps environments. The results of the study indicate that BI tools contribute to reducing reporting time, increasing the transparency of development processes and improving quality control of software products. The possibilities of integrating BI platforms with project management systems and software development (DevOps, Agile, Scrum), as well as using real-time data to monitor productivity, code quality and project risks, were analyzed. Particular attention is paid to the use of analytics to predict deadlines, identify bottlenecks in the development process and support strategic planning. It is substantiated that the implementation of modern business analytics platforms contributes to increased management flexibility, cost reduction and software quality improvement in the context of increasing complexity of digital products. The results of the study can be used by IT companies and project managers to optimize planning, resource control, risk management and improve the quality of software products by implementing business analytics tools in software development processes.
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