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Dunwoody Group's Proven Collections Analytics
1.
© Copyright 2009
Dunwoody Group Inc. 1
2.
1. Our Experience
– Proven executive-level experience in Fortune 500 companies, Schedule A Canadian Banks, National Telecom companies and the top 3 international Collection Agencies, integrating the best of collections, technology and analytics with focus on: Understanding the needs of the lender Understanding the objectives of the vendor Finding balance and win-win solutions / strategies 2. Our Products – Specialized for the Credit and Collections market place: Unique, effective and easily-adoptable solutions Enhanced alternatives at a lower cost Full-service, ongoing support and consultation services to ensure maximum utilization and benefit. © Copyright 2009 Dunwoody Group Inc. 2
3.
The Eclipse Model:
Provides Operational Intelligence – proven predictive capabilities that augment collection strategies, maximize recoveries and reduce costs. Dynamic, evolving, secure and customized to each portfolio – a superior alternative to the “pass through” or “reiteration” models; designed to grow with your company and its treatment strategies. © Copyright 2009 Dunwoody Group Inc. 3
4.
Eclipse ARM Analytics
Effective Models Achieving Collection Maximization Answers the biggest questions facing the Recovery Management Team Which accounts will pay and when? How much will they pay? What resources will need to be invested in the process? Aligned to Operational Objectives Define Objectives Increase Yield per Account Maximize Recoveries & Profits Reduced Costs Maximize Resource Utilization Improve Call Quality through specialized customer treatment Resource Call Yield per Recoveries Utilization Quality Account / Profits Costs 4 © Copyright 2009 Dunwoody Group Inc.
5.
Eclipse ARM Analytics
Fundamentals of Scoring Models Define Objectives Inclusive – utilizing and understanding all attributes to be used in your model Correlation – measuring the degree of Data Source / influence each attribute has to the determinate Data Integrity variable, and assigning a weight to “operationalize” attributes Determinate Value Syllogistics – understanding the logical relationship between attributes and objectives Validation – testing predictive capabilities of Validation your model with KS Scores Calibration – adjusting every 6-12 months Calibration © Copyright 2009 Dunwoody Group Inc. 5
6.
Eclipse ARM Analytics
– Methodology 1. 2. 3. 5. 4. Measure Acquire Develop Develop Implement Results & Customer Scoring Portfolio Operational Operational Information Model Strategies Strategies Compliance Continuous Improvement © Copyright 2009 Dunwoody Group Inc. 6
7.
Eclipse ARM Analytics
– Methodology 1. Acquire 5. Measure 3. Develop 4. Implement 2. Develop Customer Results & Portfolio Operational Scoring Model Information Operational Strategies Strategies Compliance Inputs: Outputs: Outputs: Outputs: Outputs: Assemble & Prioritize by Work outbound Develop Actual Reported Validate Debtor Propensity to Pay campaigns & adjust Propensity to Pay Results, profit Profile & Revenue as required Score by Account variance analysis Potential Utilize best Debtor contact Strategy Incorporate channels (letter, IVR, Define optimal information compliance Units of Energy text, dialer) Characteristics treatment strategy Model (UOE) per account Determine by channel: labour, of address & performance & potential dollars optimal number of IVR, letter, text, etc. contact Continuous collected Define attempts contact attempts information improvement Calculate Determine best and scripting by Geographic activities project ROI based channel by account time to call & timing profile on collections and Assign accounts between contacts Product / resource based on collector Develop the right service ownership commitment skill and ability message (contact Payment history scripting) Continuous Improvement © Copyright 2009 Dunwoody Group Inc. 7
8.
Eclipse ARM Analytics
Creating Unique Strategy Paths Segmentation + Strategy = Uplift Once our methodology process is completed, a key file applies our algorithm to create the score values from 1 to 1000. Prior to receipt of new placements, all assignments used in creating the score values will be presented in a Validation Matrix. The Validation Matrix contains a wealth of intelligence to assist your Recovery Team to determine segmentation breaks for the development of new or complementary Strategy Paths. A Strategy Path details the treatment or work plan that will yield the BEST possible results. Multiple segmentation breaks or strategy paths can be created. © Copyright 2009 Dunwoody Group Inc. 8
9.
Eclipse ARM Analytics
- Outcomes Strategy Design - Create Unique Strategy Paths • Work Streams; Contact Method & Design • Skill-Based Routing, Scripting • Exceptional Inventory Management Capabilities Timing - Incorporate Strategy Paths • List Prioritization by Path • Contact Frequencies by Path • Best Time to Call by Available Resources Units of Energy - Prioritize the Right Resources • Number of Attempts • Channels (labour, IVR, letters, text, dialer) • List Penetration © Copyright 2009 Dunwoody Group Inc. 9
10.
Eclipse ARM Analytics
– Added Value Ease of Implementation and Use No mandatory data augmentation purchase Scores are customized by client Rapid development and deployment Readily integrated into strategy & deployment systems © Copyright 2009 Dunwoody Group Inc. 10
11.
Eclipse ARM Analytics
– Next Steps Let Us Prove it to You! Test File to demonstrate predictive capabilities of our model Champion – Challenger Scenario Full Support Team available to walk you through the steps and interpret the results ANALYTICS STRATEGY CONSULTING © Copyright 2009 Dunwoody Group Inc. 11
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