Explain how businesses use analytics to convert raw operational data into actionable information.

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How is data analytics different from statistics?
Analytics tools fall into 3 categories: descriiptive, predictive, and prescriiptive. What are the main differences among these categories?
Explain how businesses use analytics to convert raw operational data into actionable information. Provide at least 1 example.
Consider your role in the organization you work for (or another organization you’re familiar with). How is data analytics important to your job and your organization? If it is not, how could you and the organization use data analytics to improve performance?






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