Applicability of Predictive Analysis in Software Product Management

This thesis explores the integration of predictive analysis within software product management to enhance decision-making and strategic planning. Through empirical investigation using a simulated dataset mimicking real-world scenarios, the study examines the impact of various factors on software product revenue and success. It emphasizes the gap between theoretical knowledge and practical application in predictive analysis, offering a detailed examination of predictive modeling techniques, data collection methodologies, and their practical implications. The research demonstrates how predictive models can forecast product revenue, assess product success likelihood, and inform strategic planning processes in software product management. By evaluating different predictive models, the study highlights the potential of predictive analysis to provide actionable insights that can guide software product management towards more informed, data-driven decisions.