Data Analytic Tools for Financial Management Course

Module 1: Introduction to Data Analytics in Financial Management

• Understand the role of analytics in performance, oversight, and accountability
• Differentiate between structured and unstructured data
• Assess your agency’s maturity using the Data Analysis Maturity Model
• Review common tools used in audit and financial data analytics

Module 2: Exercise – Initial Discovery

• Explore a new dataset to assess structure and context
• Identify missing values, outliers, and data quality concerns
• Use Excel and InfoZoom to perform discovery

Module 3: Duplicate Detection

• Detect potential fraud or inefficiencies through duplicate transactions
• Analyze single and multiple attributes (e.g., transaction ID, amount)
• Identify duplicated addresses, phone numbers, or vendor entries
• Apply normalization strategies to improve matching

Module 4: Stratification

• Group data into bands or categories for risk or anomaly detection
• Identify unusually high or low transactions by strata
• Use visual analysis tools to surface outliers

Module 5: Improper Payments Analysis

• Assess whether payments were appropriately made or processed
• Spot possible duplicates, ineligible recipients, or timing issues
• Apply criteria to isolate suspect transactions

Module 6: Aging Analysis

• Analyze outstanding receivables by age category
• Determine risks of uncollectible or aging debt
• Prioritize collection or follow-up actions using visual dashboards