What Is Data Aggregation in Data Science and Its Benefits
Data aggregation is a fundamental process that transforms raw information from multiple sources into a structured format that is easier to analyze. By collecting, summarizing, and organizing large datasets, organizations can uncover patterns, trends, and actionable insights that drive strategic decision-making. The practice is widely applied across industries such as finance, healthcare, retail, and marketing, enabling professionals to make data-driven choices efficiently. Effective data aggregation not only reduces redundancy but also enhances the accuracy of analysis, providing a clear understanding of business operations and performance metrics. Importance of Data Aggregation in Modern Analytics Data aggregation allows organizations to compile fragmented data into a unified structure, which improves both analytical accuracy and operational efficiency. Businesses can leverage aggregated data to track customer behavior, monitor performance indicators, and identify opportunities for gr...