Back to glossary DATA ANALYTICS
DATA ANALYTICS is the systematic process of examining, cleaning, transforming, and modeling data to discover meaningful patterns, extract actionable insights, and support evidence-based decision-making across organizations. This discipline encompasses descriptive analytics for understanding historical trends, diagnostic analytics for identifying root causes, predictive analytics for forecasting future outcomes, and prescriptive analytics for recommending optimal actions.
Modern DATA ANALYTICS leverages statistical methods, machine learning algorithms, data visualization tools, and business intelligence platforms to process structured and unstructured data from multiple sources. Key technologies include Python, R, SQL, Tableau, Power BI, and cloud-based analytics services like AWS Analytics and Google Cloud Analytics. Data analytics serves as the foundation for AI-driven insights, enabling organizations to optimize operations, enhance customer experiences, identify market opportunities, and drive strategic initiatives through data-driven approaches that transform raw information into competitive advantages.
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