Data analytics is the process of exploring, cleaning, converting, and modeling data to extract valuable information, form conclusions,

 and aid decision-making. It's about converting raw data into valuable insights that inform people or organizations about what is going on, 

why it is going on, and what may happen in the future.

Simpler: data analytics is employing data to pose answers and fix issues.

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It encompasses various types such as:

Descriptive analytics (what happened?)

Diagnostic analytics (why did this happen?)

Predictive analytics (what will occur?)

Prescriptive analytics (what should we do?)

Would you like examples or to dissect these types further?

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