A STUDY ON THE ANALYSIS OF POST-PURCHASE EXPERIENCE USING POWER BI WITH REFERENCE TO SOLSTROM ENERGY SOLUTION PVT LTD

Abstract: The transition to renewable energy increased the necessity of the organizations to improve customer satisfaction and their service quality, particularly in solar energy industry. This paper provides an analysis of the post- purchase customer experience in Solstrom Energy Solutions based on a mathematical evaluation of customer experience. The 102 customers were the sample population who participated via a structured questionnaire to gather primary data on product performance, quality of installations, transparency in communication and after sales services which are critical drivers of long-term satisfaction to the adoption of sustainable energy. Results have shown that solar system effectiveness and parts dependability were rated highly on their satisfaction ratings, and this validates high technical efficacy. The quality of installation and professionalism of service were rated positively, and this aspect added to the trust. The dashboard helped to process raw feedback to meaningful indicators that allowed making decisions faster, thereby facilitating sustainable service delivery. The paper concludes that by integrating business analytics, the strategies can be made much more customer-centric, more willing to implement renewable energy solutions, and make long-term sustainability objectives.

Keywords: Solar Energy Systems, Data-Driven Decision Making, Sustainable Service Practices, Customer Feedback Analysis.