LEVERAGING DATA-DRIVEN PRODUCT MANAGEMENT TO ENHANCE DIGITAL CUSTOMER EXPERIENCE IN FINTECH
Keywords:
Data-Driven Product Management, Fintech, Customer Experience (CX), Machine Learning, Data Visualization, Product Innovation, Customer Insights, Real-Time Data Feeds, Behavioral Predictions, Personalization, A/B Testing, Data Security, Operational EfficiencyAbstract
The Fintech subspace is undergoing swift changes now with the aspect of CX that has emerged as a critical way to outcompete others. With customers demanding timely and tailor-made interactions with digital solutions, the management of products in fintech companies has to embrace data. Specifically, using a case study approach, this paper examines how firms can use data analysis, machine learning, and data visualization to improve customer experience and facilitate product innovation in the fintech industry. Analyzing detailed case studies and industry trend analysis, the paper demonstrates how fintech companies apply analytics to gain insights into consumers’ behavior and preferences, thus finding ways to deliver better digital customer experience. The research also presents the effectiveness of using data in product management, from customer value, time to market, operation cost, and issues like data privacy and data inundation. The results show how the application of data for product management in fintech is making a difference while introducing standards of innovation in the financial services industry
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