The Impact of Big Data Analysis on Improving the Quality of Accounting Information: A field Study on the Palestinian Environment"

The purpose of this study is to evaluate how big data analytics affects the accuracy and reliability of accounting information within the Palestinian setting. We will be focusing on big data analytics as the independent variable, which includes examining its benefits, addressing the obstacles it presents, and analyzing its overall impact. The dependent variable in our research is the overall quality of accounting information. In order to tackle and examine the inquiries of the study, the researcher embraced a methodical approach that involves describing and analyzing the correlation. The theoretical aspect was presented by referring to pertinent studies, scholarly articles, and online resources. Furthermore, the researcher carefully scrutinized the outcomes of the field study and subjected them to evaluation using the Statistical Package for the Social Sciences (SPSS). The researcher used a questionnaire as a study tool. After careful evaluation and validation, the questionnaire was distributed to a group of participants. This group consisted of legal auditors, accountants, and experts in big data analytics who have knowledge about the Palestinian business environment. The study specifically focused on the Ramallah and Al-Bireh governorate. In total, 100 questionnaires were handed out. Out of these, 92 were collected for analysis. The investigation yielded several crucial findings, comprising a noteworthy influence on the extent of data analysis and a beneficial consequence of extensive data analytics in enhancing the caliber of accounting information. Hindrances encountered in extensive data analytics were identified, including the arduous task of managing copious amounts of data, breaches of privacy, and the employment of unscrupulous techniques. Furthermore, the study unveiled an impact that extensive data has on the responsibilities and prospective occupation of accountants. The study acknowledged the anticipatory aptitude that extensive data possesses in relation to the quality of accounting information. The study suggests safeguarding the valuable information stored in big data within business organizations, ensuring its protection from unauthorized access and theft. It also proposes implementing security measures and adhering to relevant laws and guidelines to ensure the efficient and effective utilization of big data. Moreover, it highlights the significance of organizations devoting their attention to analyzing this wealth of information and leveraging it to improve the overall quality of their data.