Authors: Pratiksha Gorakh Murawade
Abstract: This study investigates the role of predictive analytics in enhancing managerial effectiveness within organizations operating in Pune, India. Against the backdrop of rapid digital transformation, managers are increasingly required to make data-driven decisions in dynamic, competitive environments. Predictive analytics — encompassing statistical models, machine learning algorithms, and data mining techniques — offers a systematic approach to forecasting outcomes and improving organizational performance. Using a descriptive-analytical research design, primary data were collected from 100 managers across IT, banking, manufacturing, retail, and service sectors through a structured questionnaire based on a five-point Likert scale. The findings reveal that predictive analytics significantly improves decision-making quality, operational efficiency, forecasting accuracy, strategic planning, and customer satisfaction. Both research hypotheses were supported: predictive analytics has a significant positive impact on managerial effectiveness and operational efficiency. Key implementation barriers identified include high costs, shortage of skilled professionals, data security concerns, and resistance to organizational change. The study concludes that investing in analytics infrastructure, employee training, and a data-driven organizational culture is essential for sustained competitive advantage.
DOI: http://doi.org/10.5281/zenodo.20457155
