Optimizing Case Management with Predictive Tax Compliance

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Optimizing Case Management with Predictive Tax Compliance SPSS Benjamin Chard Senior Solution Engineer bchard@spss.com CGI Ted London Executive Consultant Tax and Revenue Management ted.london@cgi.com Predictive Tax Compliance 2007 SPSS Inc. 2 Copyright 2007 SPSS Inc. 1

Where Does Predictive Tax Compliance Fit Existing Data Operational Setting 2007 SPSS Inc. 3 Data Warehouse Solution DWS Existing Data Operational Setting Historical Returns Current Returns Collections Case Management Reporting Case Mgt Return Scoring Enforcement 2007 SPSS Inc. 4 Copyright 2007 SPSS Inc. 2

From DWS to Prediction DWS Existing Data Historical Returns Current Returns Collections Case Management PREDICTION Build Models Operational Setting Reporting Case Mgt Return Scoring Enforcement FEEDBACK Examine Data in Entire Dimensionality Learn Trends Relationships Interactions Unveil Emerging Shifts in Behavior 2007 SPSS Inc. 5 Predictive Modeling Scenarios Revenue: better return on limited resources Audit Outcome Predict $per audit hour Collections Treatment Streams, Collection Activities No-Change: Decrease the number of false-positive investigations Hit Ratio Self Cure Proactive Approach / Reaction Time Coverage Legislative Concerns Taxpayer Attrition Quicker Enforcement Emerging Trends 2007 SPSS Inc. 6 Copyright 2007 SPSS Inc. 3

We are talking about Return on Information (ROI) Return On Information (ROI) Predictive Modeling DATA MINING & PREDICTIVE ANALYTICS Predictive Model Results ROI FBK Dashboards Case Load Distribution OPERATIONAL SYSTEMS Case Management Statistical/Trend Analysis Data Warehouse Solutions Existing Enterprise Data Sources 2007 SPSS Inc. 8 Copyright 2007 SPSS Inc. 4

SPSS: Building Predictive Models DATA MINING & PREDICTIVE ANALYTICS Predictive Model Results 2007 SPSS Inc. 10 Copyright 2007 SPSS Inc. 5

Predictive Analytics Three classes of data mining algorithms: What events occur together? Given a series of actions; what action is likely to occur next? Associate Patterns Cluster Differences Data Mining Predict who is likely to exhibit specific behavior in the future. Group cases that exhibit similar characteristics. Predict Relationships 2007 SPSS Inc. 11 Concept Extraction Mr. Smith aka Mr. Ahmed was seen on the corner of Church St. and Magnolia Ave. on Nov 13 th Bag of «Words» extraction Mr. Smith aka Ahmed was seen on the corner of Church Etc. Expressions extraction Mr. Smith was seen Mr. Ahmed corner Church St. Magnolia Ave. Nov 13th Mr. Smith (Person) -> aka (Alias) -> Mr. Ahmed (Person) was seen (location) -> Church and Magnolia (address) -> November 13 (Date) Named Entities extraction Mr. Smith -> Person Mr. Ahmed-> Person aka -> Alias was seen -> location Church St. -> Address Magnolia Ave. -> Address Nov 13 th -> Date Events/Sentiment Extraction 70 s 80 s 90 s Now Mr. Ahmed in database wanted for questioning Suspect -> send agent to this location Combined with structured data 2007 SPSS Inc. 12 Copyright 2007 SPSS Inc. 6

Predictive Asset Management In single project there is the potential to create a large number of models and versions of models: different predictions different algorithms different settings different training samples. X # different data sets X # different users X # different locations. 2007 SPSS Inc. 13 Feedback Collection FEEDBACK Data Warehouse Solutions Existing Enterprise Data Sources 2007 SPSS Inc. 14 Copyright 2007 SPSS Inc. 7

Predictive Modeling Scenarios by User Predictive Tax Compliance Register Assess Collect Fraud Detection Non-Filer Discovery ID Fraud Prioritization Models Audit Selection Filing Fraud Tax Collection Treatment Activities DATA MINING & PREDICTIVE ANALYTICS TOOLS DATA WAREHOUSE Right work to the right resources at the right time 2007 SPSS Inc. 16 Copyright 2007 SPSS Inc. 8

Non-Filer/Fraud Discovery Process Internal Records: Tax Filers External Records: Registration Databases Other Agencies Commercial Databases HARD MATCHING SOFT MATCHING PRIORITIZATION Predictive Modeling TAX DUE NO TAX DUE 2007 SPSS Inc. 17 Audit Selection Process LEAD GENERATION MANDATORY AUDIT PROG. DATABASE AIDED SELECTION BIRD DOGGING SPIN-OFFS Predictive Modeling WORKLOAD ASSIGMENT AUDITING DISPUTE RESOLUTION LEAD CARDS $$$ NTC $$$ Tax Assessment No Tax Change Refund 2007 SPSS Inc. 18 Copyright 2007 SPSS Inc. 9

Tax Collection Process Non-Filers Tax Due Estimation Case Information Taxpayer History Taxpayer Profile Non-Payers Prioritization Risk Assessment Predictive Modeling High Risk Medium Risk Low Risk Day 1 Day 1 Day 1 Day 15 Day 15 Day 30 Outcome Day 30 Day 30 Day 60 2007 SPSS Inc. 19 Collections - Putting Data Analytics into Operation Copyright 2007 SPSS Inc. 10

Collections Scenario Putting Data Analytics into Operation Clementine Data Mining Workbench ROI CGI CACS for Government Predictive Model Resuls FBK Case Management Data Warehouse Solutions Existing Enterprise Data Sources 2007 SPSS Inc. 21 Putting Data Analytics into Operation CGI s CACS-G Collection Application 2007 SPSS Inc. 22 Copyright 2007 SPSS Inc. 11

Data Mining Workbench 2007 SPSS Inc. 23 Case Study in Audit Selection Evaluating Model Performance Copyright 2007 SPSS Inc. 12

Case Study in Audit Selection Build models to predict different outcomes. Positive Adjustment (Y/N). DPH Return (Group Membership). Actual $$ Adjustment. Historical Cases selected for model build Cases with Prior audit prior audit and organizational data. All Cases organizational data only. Deployment For each outcome combine predictions for those with and without previous audit data. For each outcome predict using organizational data only. 2007 SPSS Inc. 25 Evaluating Predictive Modeling 2007 SPSS Inc. 26 Copyright 2007 SPSS Inc. 13

Optimizing Case Management with Predictive Tax Compliance Come see us in the Exhibit Hall SPSS CGI Benjamin Chard Senior Solution Engineer bchard@spss.com Lisa Barber Account Executive lbarber@spss.com Ted London Executive Consultant Tax and Revenue Management ted.london@cgi.com 2007 SPSS Inc. 28 Copyright 2007 SPSS Inc. 14

ROI Return on Information Deploy Scores Build the model then create and save the scores to a data table which Case Management can access. Deploy Model Build the model and then save the model and scoring process to files that can be executed real-time. 2007 SPSS Inc. 29 Copyright 2007 SPSS Inc. 15