Investigating the role of augmented reality and data visualization in financial reporting and analysis

Abstract

Integrating Augmented Reality (AR) into financial reporting and analysis transforms traditional data interpretation methods. Traditional financial statements often present challenges in interpreting complex data sets, leading to potential misinterpretations. AR offers immersive, interactive visualizations that can enhance comprehension and decision-making processes in financial contexts. This research aims to investigate the effectiveness of AR-enhanced data visualization in financial reporting and identify the barriers to its widespread adoption. The investigation provides a mixed-methods approach, integrating quantitative data from financial survey responses with qualitative insights from case studies of firms adopting AR in their financial reporting procedures. Data were collected over 6 months from 120 participants, focusing on user experience, comprehension levels, visual appeal, overall satisfaction, confidence in interpretation, and decision-making efficiency. Quantitative survey data were analyzed using descriptive statistics to summarize the respondents. Inferential statistical techniques, including t-tests and ANOVA, were employed to assess differences in comprehension and decision-making efficiency between users of AR-enhanced reporting tools and traditional methods utilizing SPSS software. Regression analysis was conducted to identify predictors of successful AR adoption in financial reporting. Qualitative data were analyzed using thematic analysis. Results show that AR-augmented financial reports greatly enhance user participation and comprehension of intricate financial information. Users provided feedback on greater efficiency in decision-making and increased confidence in the interpretation of financial information. The study concludes that AR can revolutionize financial reporting by making data more accessible and interactive, but solutions to implementation issues are critical.