Using Data Analytics for Effective Organizational Budget Planning

Abstract

This study on the effective use of data analytics in organizational budget planning aims to examine the application of data analytics in the organizational budget planning process and to evaluate the effectiveness of using data analytics in budget management in terms of speed, accuracy, transparency, and support for managerial decision-making. The sample group consists of personnel involved in budget preparation and management within organizations, selected using purposive sampling. The research instrument is a questionnaire, and data analysis employs descriptive statistics including frequency, percentage, mean, and standard deviation. The overall application of data analytics in organizational budget planning is high, particularly in budget control and monitoring, budget preparation, and supporting management decision- making. This reflects the effectiveness of data analytics in improving budget management efficiency, reducing errors, and increasing transparency in organizational resource utilization. Furthermore, the most important success factor is management support, while the main limitations are personnel and skills in using data analysis tools. The results of this study can be used as a guideline for developing a systematic, data-driven organizational budget planning process that aligns with the concept of digital-era public sector management, leading to efficient, transparent, and sustainable budget management.