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Data analytics is utilized to interpret big data so individuals and organizations can:
Make sense of what's going on: By aggregating and displaying data in order to observe trends and patterns.
Fix issues: By drilling into data in order to determine causes or areas for improvement.
Predict future events: To look forward to trends, customer behavior, or future risks.

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Make more informed decisions: With data-driven knowledge instead of speculation.
Optimize processes: To increase efficiency, lower costs, and raise productivity.
Personalize experiences: Customizing products, services, or advertisements with customer data.
Measure performance: Monitoring progress toward objectives and determining what works or doesn't work.
In short, data analytics makes raw data turn into useful information that informs wiser actions in many areas, from business to healthcare to sports.
Need some examples of particular applications across various industries?

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