Data analytics is like a detective for your information. It sifts through a pile of details to find hidden patterns and clues. This helps businesses make better decisions based on facts. As there are different types of data analytics, they are listed below
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Descriptive Analytics: Summarizing historical data to understand past events and trends.
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Diagnostic Analytics: Determining the causes and reasons behind past events or patterns.
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Predictive Analytics: Forecasting future outcomes or behaviors based on historical data and statistical modeling.
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Prescriptive Analytics: Providing recommendations or actions to optimize outcomes based on various constraints and scenarios.
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Text Analytics: Analyzing unstructured text data to extract insights using techniques like natural language processing and sentiment analysis.
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Spatial Analytics: Analyzing data with a geographic or spatial component to understand patterns and relationships.
These types of data analytics enable organizations to gain valuable insights, make informed decisions, and optimize their operations based on data-driven approaches.
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