Create a database performance monitoring for [PROJECT/BUSINESS].
Data source: [WHERE THE DATA COMES FROM]
Tools: [EXCEL / SQL / PYTHON / POWER BI / TABLEAU / GOOGLE ANALYTICS / OTHER]
Audience: [WHO WILL SEE THIS ANALYSIS]
Goal: [INSIGHT / DECISION / REPORT / AUTOMATION / PREDICTION]
Provide:
1. **Data Requirements**: What data is needed and where to get it
2. **Preparation Steps**: How to clean and prepare the data
3. **Analysis Method**: The appropriate analytical approach
4. **Key Metrics**: Which metrics to calculate and why
5. **Visualisation**: How to present findings visually
6. **Insights Framework**: How to extract actionable insights from the data
7. **Tools & Formulas**: Specific tools, functions, or code to use
8. **Automation**: How to automate recurring analysis
9. **Quality Checks**: How to validate results are accurate
10. **Presentation**: How to communicate findings to non-technical stakeholders
Create a database performance monitoring for [PROJECT/BUSINESS].
Data source: [WHERE THE DATA COMES FROM]
Tools: [EXCEL / SQL / PYTHON / POWER BI / TABLEAU / GOOGLE ANALYTICS / OTHER]
Audience: [WHO WILL SEE THIS ANALYSIS]
Goal: [INSIGHT / DECISION / REPORT / AUTOMATION / PREDICTION]
Provide:
1. **Data Requirements**: What data is needed and where to get it
2. **Preparation Steps**: How to clean and prepare the data
3. **Analysis Method**: The appropriate analytical approach
4. **Key Metrics**: Which metrics to calculate and why
5. **Visualisation**: How to present findings visually
6. **Insights Framework**: How to extract actionable insights from the data
7. **Tools & Formulas**: Specific tools, functions, or code to use
8. **Automation**: How to automate recurring analysis
9. **Quality Checks**: How to validate results are accurate
10. **Presentation**: How to communicate findings to non-technical stakeholders
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