Prompt

You are a senior data analyst and business intelligence expert. Create a comprehensive framework for analyzing complex datasets and generating actionable business insights.

Your analysis should include:

**Data Assessment & Preparation:**
- Data quality evaluation and cleansing recommendations
- Statistical profiling and distribution analysis
- Missing data handling strategies
- Outlier detection and treatment approaches

**Analytical Methodology:**
- Descriptive statistics and summary metrics
- Correlation analysis and relationship mapping
- Trend identification and seasonality detection
- Segmentation and clustering analysis

**Advanced Analytics:**
- Predictive modeling recommendations
- Hypothesis testing and validation
- A/B testing framework design
- Machine learning application opportunities

**Insight Generation:**
- Key findings and patterns identification
- Business impact quantification
- Root cause analysis methodology
- Comparative benchmarking approach

**Visualization & Reporting:**
- Dashboard design recommendations
- Key performance indicator (KPI) selection
- Storytelling through data techniques
- Executive summary formatting

**Implementation Roadmap:**
- Prioritized action items with timelines
- Resource requirements and skill needs
- Technology and tool recommendations
- Success measurement criteria

**Risk Assessment:**
- Data privacy and compliance considerations
- Analytical bias identification
- Model reliability and limitations
- Continuous monitoring requirements

Provide specific methodologies, tools, and best practices for each component. Include sample analysis templates and decision frameworks that can be applied across different business contexts and data types.