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The best data analytics process typically involves five key steps:
- Define Objectives: Clearly outline the problem or question you want to answer.
- Data Collection: Gather relevant data from various sources.
- Data Cleaning: Remove errors, duplicates, and inconsistencies to ensure quality.
- Data Analysis: Apply statistical techniques or machine learning models to interpret the data.
- Visualization & Reporting: Present the findings through charts, graphs, and reports for actionable insights.
This iterative process ensures accurate results and allows for refinement as new data and insights emerge.
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