Description
Data analytics involves the systematic computational analysis of data to uncover patterns, trends, and insights that inform decision-making. It encompasses various techniques, including statistical analysis, machine learning, and data mining. By transforming raw data into actionable insights, organizations can optimize operations, enhance customer experiences, and drive strategic growth. Key components include descriptive analytics (what happened), diagnostic analytics (why it happened), predictive analytics (what could happen), and prescriptive analytics (what actions to take). With the rise of big data, effective data analytics is crucial for businesses to remain competitive and make data-driven decisions that lead to improved outcomes.
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