ENHANCING SOFTWARE PRODUCT ADOPTION IN THE FINANCE SECTOR: THE IMPACT OF DATA ANALYTICS ON USER EXPERIENCE AND ENGAGEMENT

Abstract

Purpose: The primary goal of this study is to systematically analyze the effects of data analytics on the acceptance levels of software applications created for the financial domain. Through the examination of user actions, personalization, and involvement, the research endeavors to offer empirical validation and actionable perspectives that could assist software developers and enterprises in enhancing their design approaches and effectively fulfilling user needs.

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Methodology: Utilizing a quantitative research method, the study evaluates data gathered from 222 participants working in finance through surveys. The aim is to comprehend how data-focused advancements in software creation impact user contentment, engagement, and adoption choices. The investigation delves into various aspects of user engagement with software products, such as personalization of user interface, improvement of user engagement, and synchronization of software upgrades with user anticipations.

Findings: By conducting thorough data analysis, this article provides practical insights for software developers and companies seeking to refine their product designs to effectively address user requirements and promote adoption in the competitive finance sector.

Value: This investigation highlights the substantial significance of data analytics in enhancing user acceptance and satisfaction in the field of financial software development, offering practical advice for improving user interaction and product design.