Process Automation and Fraud Analytics in Taxation for State Commercial Tax Department

Key objective of the project was to help a government agency maximize performance, identify and reduce fraud, irregularities and outliers in the regular taxation investigations. Also, Predict Future Revenue and Track Actual Collections.

Business Challenges
• Governments lose millions each year due to fraud and improper payment
• Inadequate solution for tax and benefits, agencies to identify potential fraud or improper payment before it heads out the door

Solution Proposed
• SAS Data Management
• SAS Visual Analytics
• SAS Visual Investigator
• PostgreSQL Database

Solution Implemented
• Data Integration from external sources, mapping with the departments data to identify frauds
• AI based Misclassification Detection- Automatic identification of deviations in filing categories
• Platform with process automation, analytics and enhanced visualization

Customer Benefits
• Identify Tax evaders through Sales Purchase Reconciliation and Risk Profiling
• Highlight Irregularities and Outliers for Investigation
• Predict suspicious activity based on historical behavior
• Reduced Man-hours / Cost per Case