a. what is most likely to occur in the future
This describes predictive analytics, not descriptive analytics. Predictive analytics uses historical data, machine learning, and statistical algorithms to predict future outcomes.
b. what occurred in the past
This is the correct answer. Descriptive analytics analyzes historical data to provide insights and summarize what has already happened. It is often used to generate reports and dashboards that give a clear view of past events.
c. which actions you can perform to affect outcomes
This describes prescriptive analytics. Prescriptive analytics suggests possible actions to influence future outcomes based on data analysis and often incorporates optimization techniques or simulations.
d. why something occurred in the past
This describes diagnostic analytics. Diagnostic analytics digs deeper into the historical data to explain why something happened by identifying patterns and relationships in the data.
Descriptive Analytics tells you what happened in the past. Diagnostic Analytics helps you understand why something happened in the past.
Diagnostic analytics ask about the present. They drill down into why something has happened and helps users diagnose issues. Descriptive analytics ask about the past. They want to know what has been happening to the business and how this is likely to affect future sales.
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