From Data to Decisions Exploring the Role of Data Analysis in Big Data
DOI:
https://doi.org/10.71222/8wj6pe10Keywords:
big data, data analysis, machine learning, artificial intelligence, real-time analytics, business intelligenceAbstract
With the rapid growth of big data, data analysis plays an increasingly important role across various industries. This paper explores the key techniques, applications, and challenges of data analysis in the context of big data. It begins by defining big data and its characteristics, focusing on the methodologies used in data analysis, such as statistical analysis, machine learning, and artificial intelligence. The paper then examines the real-world applications of data analysis in sectors like healthcare, finance, marketing, and e-commerce, showing how it drives decision-making, optimizes operations, and fosters innovation. The challenges of data quality, scalability, and privacy concerns are also discussed. Finally, the paper looks ahead at emerging trends such as real-time analytics, AI-driven analysis, and automated data processing, and reflects on the evolving role of data scientists and analysts in strategic decision-making. Effective data analysis will be key to future innovation and business success.
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