SQL for BI Analysis: Thinking in Metrics, Grain, and Question
📰 Medium · Data Science
Learn to use SQL for BI analysis by focusing on metrics, grain, and question to answer business questions correctly
Action Steps
- Identify key business questions to answer using SQL
- Define the grain of the data to ensure accurate analysis
- Determine the relevant metrics to measure and track
- Write SQL queries to extract and analyze the data
- Test and refine the queries to ensure correct results
Who Needs to Know This
Data analysts and business intelligence professionals can benefit from this approach to improve their SQL skills and provide more accurate insights to stakeholders
Key Insight
💡 SQL is a tool to answer business questions, not the goal itself
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Boost your BI analysis skills with SQL by focusing on metrics, grain, and question #BI #SQL
Key Takeaways
Learn to use SQL for BI analysis by focusing on metrics, grain, and question to answer business questions correctly
Full Article
In BI work, SQL isn’t the goal, but it’s just the tool. The real goal is answering business questions correctly and confidently. Continue reading on Medium »
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