ANALYTICAL APPROACHES TO DIGITAL TRANSFORMATION IN CORPORATE FINANCIAL REPORTING (EFFECTIVENESS OF USING ARTIFICIAL INTELLIGENCE, POWER BI AND PYTHON TOOLS IN FINANCIAL ANALYSIS)
Abstract
This research work is devoted to the study of modern approaches to analyzing corporate financial statements in the context of digital transformation. The study analyzes the role and certain limitations of artificial intelligence algorithms, Python programming tools, and the Power BI visualization platform in making the financial analysis process more efficient. The work examines the capabilities of digital technologies for processing, automating, and forecasting financial data, as well as their advantages in making corporate management decisions quickly and accurately..
Fields of Study & Subjects
Agricultural and Financial Auditing
Digital Transformation in Financial Services
Financial Distress and Bankruptcy Prediction
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 2 January 2026