DOI: https://doi.org/10.36719/2706-6185/59/186-190
Aygul Ismayilzade
Baku Business University
Master Student
https://orcid.org/0009-0001-9212-3475
ismayilzadeaygul8@gmail.com
The Impact of Digital Technologies on Management Accounting
Abstract
In recent years, digital transformation has fundamentally changed business processes and has become one of the main directions in the development of management accounting. Digital technologies not only accelerate the flow of information but also reshape the methodological foundations of management accounting, enabling decisions to be made more flexibly and on an analytical basis. The increasing volume and variety of data have revealed the limitations of traditional accounting systems and made the use of both structured and unstructured data necessary.
Big Data Analytics (BDA) has been widely applied in management accounting, becoming a key component in planning, forecasting, and performance measurement processes. Digital transformation also introduces certain risks - the intensity of information flow, inaccuracies in forecasting models, and the complexity of cost structures may increase the risk of errors in decision-making.
The application of technologies such as cloud-based ERP systems, artificial intelligence (AI), Robotic Process Automation (RPA), and Big Data Analytics enables real-time data collection and analysis, automates budgeting and cost analysis, and minimizes human errors. These systems provide management with reliable information at strategic and operational levels, accelerate decision-making, and improve risk management.
In Azerbaijan, the digital transformation of management accounting is being implemented gradually. Although there are government initiatives and private sector adaptation to technologies, comprehensive large-scale statistics are still lacking. Nevertheless, the application of digitalization and data analytics provides enterprises with more efficient management and forecasting opportunities.
Keywords: digital technology, digital transformation, management accounting, ERP systems, RPA, Big Data Analytics, artificial intelligence