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Data Analytics
Data analytics systematically examines data to uncover patterns, trends, and insights that support informed decision-making. This process combines statistical methods, algorithms, and data visualization to analyze and interpret complex information. Key techniques include descriptive analytics, which focuses on understanding past events, predictive analytics, which uses historical data to forecast future outcomes, and prescriptive analytics, which suggests actionable steps to achieve specific goals. These methods empower organizations to optimize processes, improve performance, and drive innovation. By leveraging data analytics, businesses can make evidence-based decisions, solve problems efficiently, and adapt to dynamic market conditions. It plays a crucial role in the healthcare, finance, and retail industries, enabling them to remain competitive and customer-focused.