BIG DATA ANALYTICS: OPPORTUNITIES AND CHALLENGES FOR DECISION-MAKING PROCESSES
DOI:
https://doi.org/10.5281/zenodo.20796659Abstract
The rapid growth of digital technologies and the increasing volume of data generated by
organizations have led to the emergence of Big Data Analytics as a critical tool for decision-making processes.
Big Data Analytics enables organizations to extract valuable insights from structured and unstructured data,
improve operational efficiency, enhance strategic planning, and gain competitive advantages. This study aims to
examine the opportunities and challenges associated with Big Data Analytics in organizational decision-making.
The research methodology is based on a systematic review of scientific literature, comparative analysis of
analytical frameworks, and evaluation of empirical studies related to data-driven decision-making. The findings
indicate that Big Data Analytics significantly improves decision quality, forecasting accuracy, and organizational
performance. However, challenges such as data quality issues, privacy concerns, infrastructure costs, and
skill shortages continue to hinder effective implementation. The study concludes that successful utilization of
Big Data Analytics requires robust data governance, advanced analytical tools, and the development of data
literacy within organizations.
Keywords
Big Data Analytics, Decision-Making, Data Science, Business Intelligence, Predictive Analytics, Data Mining, Data-Driven Decisions, Information Systems, Machine Learning, Digital TransformationReferences
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