Accounting Data Analytics
Problem Identification Techniques
Cause-and-Effect Diagrams
Five Whys Analysis
Fishbone Diagrams
Budget vs. Actual Analysis
Price Variance Analysis
Quantity Variance Analysis
Mix Variance Analysis
Yield Variance Analysis
Efficiency Variance Analysis
Transaction Sequencing Analysis
Pattern Recognition Techniques
Anomaly Pattern Detection
Behavioral Pattern Analysis
Hierarchical Data Exploration
Transaction-Level Analysis
Multi-Dimensional Analysis
Progressive Filtering Techniques
Correlation Coefficient Calculation
Correlation Matrix Analysis
Identifying Spurious Relationships
Establishing Causality
Confounding Variable Identification
Hypothesis Formulation
Statistical Significance Testing
p-Value Interpretation
Confidence Interval Construction
Type I and Type II Errors
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4. Descriptive Analytics: Understanding What Happened
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6. Predictive Analytics: Forecasting What Will Happen