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What is the best Data Analytics process?
#1
The best data analytics process involves several key steps:
  1. Define the Problem: Clearly understand and define the business question.
  2. Collect Data: Gather relevant, high-quality data from diverse sources.
  3. Clean Data: Process and clean the data to remove inaccuracies or inconsistencies.
  4. Analyze Data: Apply statistical or machine learning models to uncover insights.
  5. Interpret Results: Translate analytical results into actionable insights.
  6. Visualize Findings: Use visualizations to make data easily understandable.
  7. Make Decisions: Support business decisions based on the insights derived.
  8. Monitor and Improve: Continuously assess and improve the process for future insights.


#2
Great breakdown of the data analytics process! Each step is crucial for making informed decisions and driving business success.

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