Credit Risk Modeling and Decisioning Conference Larry Rosenberger May 30, Strategy Science: Breakthrough in Data-Guided Decision-Making

Size: px
Start display at page:

Download "Credit Risk Modeling and Decisioning Conference Larry Rosenberger May 30, 2002. Strategy Science: Breakthrough in Data-Guided Decision-Making"

Transcription

1 Credit Risk Modeling and Decisioning Conference Larry Rosenberger May 30, 2002 Strategy Science: Breakthrough in Data-Guided Decision-Making

2 T O P I C S Basics of Strategy Science Recent Lessons from the Field Speculations on the Future Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. Credit Modeling and Decisioning Conference 2

3 T O P I C S Basics of Strategy Science What s the breakthrough? What is Strategy Science? Extending existing notions Recent Lessons from the Field Speculations on the Future

4 Current Industry Practice: Decision strategy design driven by judgment Information External Data ANALYTICS Predictions D A T A D A T A DATA MGMT. Predictive Analytics Exploratory Analysis / Data Mining Judgmental Strategy Design AUTOMATED STRATEGY EXECUTION Internal Data Insights Reactions Actions Prospects & Customers Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 4

5 The Breakthrough: Adding science to strategy design Information Optimal Decision Strategies External Data ANALYTICS Predictions D A T A D A T A Internal Data DATA MGMT. Predictive Analytics Exploratory Analysis / Data Mining Insights Strategy Science Decision Modeling Strategy Optimization Strategy Refinement AUTOMATED STRATEGY EXECUTION Reactions Actions Prospects & Customers Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 5

6 Strategy Science 3 Step Methodology Replaces guesswork in strategy design with science Decision Modeling Strategy Optimization Build a graphical model for one or more decisions Establish mathematical relationships Solve for profit-improvement improvement strategies - subject to constraints on key metrics Strategy Refinement Risk R evenue Incom e Expert D ecision Product Low Low Low Low Low Low Medium Med Med High High High High Low Low High High Med Med Low Low High High High High D D D A B /C A /C A Refine strategies for interpretability, robustness and ease of deployment Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 6

7 Simplified Decision Model for On-going Credit Line Decision models drive Strategy Science Current Balance $ Rev Credit Bureau Behavior Good / Bad Credit Line Change Profit $ Loss Current Limit Modeling your customers reactions to your actions is key! Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 7

8 Optimization and refinement produce a better decision strategy Risk Low Medium High Utilization Low Med High Low Med High Balance Low High Low High Expert Decision $5,000 $8,000 Optimal Decision $3,000 $5,000 $12,000 Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 8

9 Strategy Science Extending existing notions Credit Scoring better PREDICTIONS Strategy Science better DECISIONS Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 9

10 Predicting vs. Decisioning Prediction focus Profit Profit Response Response Revenue Revenue Risk Risk D A T A D A T A D A T A D A T A D A T A Judgmental Decision Strategies Expert Judgment Prospects & Customers Actions Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 10

11 Predicting vs. Decisioning Decision focus Profit Profit Response Response Revenue Revenue Risk Risk D A T A D A T A D A T A D A T A D A T A Strategy Science = Decision Modeling + Strategy Optimization + Strategy Refinement Optimal Decision Strategies Prospects & Customers Actions Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 11

12 Strategy Science Extending existing notions Credit Scoring better PREDICTIONS Strategy Science better DECISIONS Risk Management better loss control Strategy Science better trade-offs Strategy Science better understanding of trade-offs Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 12

13 Trading-off volume versus losses Baseline operating point Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 13

14 Profit implications of the volume vs. loss trade-off Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 14

15 Creating the Efficient Frontier Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 15

16 Exploring Trade-offs Among Key Business Metrics Baseline Profit / account $73 Profit / account $95 (+30%) Profit / account $78 (+7%) Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 16

17 Basics of Strategy Science T O P I C S Recent Lessons from the Field Where are we? Scar tissue Speculations on the Future

18 Where Are We? The 3 rd Decision Revolution today Profit Improvement Predictive Modeling 20-30% Adaptive Control 20-30% Strategy Science 20-30% Time Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 18

19 Where Are We? FAST adoption! Within 1 year after launching Strategy Science, 2 countries: U.S., U.K. 3 credit products: credit card, direct & indirect loans 8 decision areas in the customer life-cycle 26 projects in progress/completed for 16 clients Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 19

20 Applied Strategy Science Decision areas across the customer life-cycle Strategy Science for Financial Services Customer Acquisition Decision Models Customer Management Decision Models Supporting Analytics Bankcard Pre-Screen Intro APR Go-to APR Intro period Rewards offer Affinity offer Credit line assignment Installment loan terms and pricing Indirect auto loan terms and pricing Bankcard Credit line management Authorizations (early stage collections) Collections Retention and Loyalty programs Cross-sell Capabilities Data Spiders ClusterBots Utility Functions Methodologies Pre-Market Offer Testing Learning Strategies Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 20

21 Where Are We? Early results to date On target to achieve 20-30% profit improvement in this 3rd Decision Revolution Early field tests outperforming benchmark strategies Some early adopters have gone beyond their first application of Strategy Science Fast followers are paying serious attention It s too early for proven only players Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 21

22 Scar Tissue Hard stuff really hard stuff Success requires large doses of: Mathematical modeling art Data analysis savvy Domain expertise injection Success forces numerous innovations Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 22

23 Hard Stuff Really Hard Stuff Mathematical modeling art Insightfully model customer reactions to lender actions Insightfully choose key business metrics for trade-off analysis of conflicting business objectives Insightfully represent business constraints for iterative optimization Balance simplicity versus complexity Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 23

24 Hard Stuff Really Hard Stuff Data analysis savvy Estimate quantitative relationships based on both data and expert judgment to account for: Holes in the data Confounding effects of multiple decisions Exogenous variables and influences Estimate uncertainty of estimates Balance simplicity versus complexity Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 24

25 Hard Stuff Really Hard Stuff Domain expertise injection Create tools and methodologies to inject business judgment flexibly and at multiple points Engineer resulting strategies for: Transparency/Interpretability Robustness Ease of deployment Balance simplicity versus complexity Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 25

26 Hard Stuff Really Hard Stuff Forced innovations Consumer preferences Stated preferences/intentions Observed preferences/revealed intentions Action-based prediction Existing tools but new methodologies Learning strategies new role for experimental design Efficient horse racing versus horse breeding Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 26

27 Basics of Strategy Science Recent Lessons from the Field T O P I C S Speculations on the Future Technical directions Impact on decision-making

28 Where Is Strategy Science Going? Technical directions Inject feed-forward control in the face of dynamics! Economic stress testing Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 28

29 Feed-Forward Forward Control Simulating different economic conditions Current Balance Simulate expected Simulate expected changes in the changes in the model inputs model inputs Alter Alter constraints constraints $ Rev Credit Bureau Behavior Good / Bad Credit Limit Change Profit Alter output Alter output Current Limit Alter the relationship Alter the relationship between model between model elements elements $ Loss Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 29

30 Where Is Strategy Science Going? Technical directions Inject feed-forward control in the face of dynamics! Economic stress testing Model many decisions and integrate tightly-coupled ones Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 30

31 Model Many Decisions And integrate the tightly coupled ones Potential Customer Rejected Prescreen Decision Solicit Decision No Response Prescreen Accepted Responder No Response Contact Decision Responder New Customers Prospects Approve, Product Offer Decision Accept Product Don t Accept No Activation Product Offer and Activation Enhancement Activation Enhancement No Activation Account Management -Credit Lines -Pricing -Payment Policies Customer Service Inactive Customers Reactive Inactive Customers Decision Retention, Usage Decision User Payer Active Customers Current Customers Delinquent Customers Payment Management Decision Portfolio Acquisition Portfolio Sale Attriter Closed Account Defaulted Customers Former Customers Collection Data Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 31

32 Where Is Strategy Science Going? Technical directions Inject feed-forward control in the face of dynamics! Economic stress testing Model many decisions and integrate tightly-coupled ones Design and build multi-tier control systems Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 32

33 Multi-Tier Decision Control Systems Function line of business enterprise Card Portfolio ENTERPRISE Profit Portfolio Portfolio Objectives Objectives Product Product mix mix Profit Profit contribution Loss Loss reserves reserves Acquisition Acquisition growth growth Trade-off Levers Customer mix Market growth Capital allocation Capital reserves Market Share EPS Pre-Screen Initial Credit Line Credit Line Collections Business Objectives Acct acquisition cost Response Portfolio growth Business Objectives Activation Contingent liability Retention Balance transfer Business Objectives Retention Receivables Contingent liability Losses Business Objectives Dollars recovered Collection costs Third party mgt Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 33

34 Where Is Strategy Science Going? Changing decisions and decision-making processes Quantifying trade-offs Operating over the cliff! But how far? Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 34

35 Quantifying Trade-offs Simplified indirect auto loan pricing Risk score Accept/ Accept/ Reject Reject Offer Offer Custom Risk Take/ No Take Profit Market Data Deal Data Response Good/ Bad Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 35

36 Efficient Frontier The staircase to credit loss hell high Low cutoffs E [ Volume ] High cutoffs low high Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 36

37 A Closer Look at an Efficient Frontier Profit vs. Market Share ( Take Rate ) Totalprofit vs.take ra te (for 1 m illion prospects) I Totalprofit (in m illions) Historical o p e ra tionalpoint Totalprofit II III IV 0% 10% 20% 30% 40% 50% 60% Take rate Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 37

38 Where Is Strategy Science Going? Changing decisions and decision-making processes Quantifying trade-offs Operating over the cliff! How far? Changing dialogs & roles of key players data-assisted BOGSAT technology Business objectives & trade-offs Recent changes in the marketplace Future uncertainties Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 38

39 Changing Dialogs and Roles of Key Players Data-assisted assisted BOGSAT decision process Imagine being able to explore the impact of policy changes, the sensitivities of your business constraints, and the forces of economic and competitive change on any decision strategy before it s implemented. Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 39

40 Conclusions Strategy Science is HUGE! Early adopting continues, while fast following is starting-up It s really hard stuff! Copyright 2002 Fair, Isaac and Company, Inc. All rights reserved. 40

41 Strategy Science: Breakthrough in Data-Guided Decision-Making Questions & Answers

WHITEPAPER. How to Credit Score with Predictive Analytics

WHITEPAPER. How to Credit Score with Predictive Analytics WHITEPAPER How to Credit Score with Predictive Analytics Managing Credit Risk Credit scoring and automated rule-based decisioning are the most important tools used by financial services and credit lending

More information

Decisioning for Telecom Customer Intimacy. Experian Telecom Analytics

Decisioning for Telecom Customer Intimacy. Experian Telecom Analytics Decisioning for Telecom Customer Intimacy Experian Telecom Analytics Turning disruption into opportunity The traditional telecom business model is being disrupted by a variety of pressures from heightened

More information

Big Data Analytics for Every Organization

Big Data Analytics for Every Organization Big Data Analytics for Every Organization Cloud-based services give you the analytic power to reach greater heights 2014 Fair Isaac Corporation. All rights reserved. 1 In every industry, a handful of competitors

More information

Summary. January 2013»» white paper

Summary. January 2013»» white paper white paper A New Perspective on Small Business Growth with Scoring Understanding Scoring s Complementary Role and Value in Supporting Small Business Financing Decisions January 2013»» Summary In the ongoing

More information

Decisioning for Telecom Customer Intimacy. Experian Telecom Analytics

Decisioning for Telecom Customer Intimacy. Experian Telecom Analytics Decisioning for Telecom Customer Intimacy Experian Telecom Analytics Turning disruption into opportunity The traditional telecom business model is being disrupted by a variety of pressures. From heightened

More information

Strategy management systems for collections. White paper

Strategy management systems for collections. White paper Strategy management systems for collections White paper Introduction to strategy management A strategy management solution for debt collections offers the potential for significantly improving operational

More information

Restore Mortgage Confidence. Rebuild the industry with information, insight and communication

Restore Mortgage Confidence. Rebuild the industry with information, insight and communication FICO Mortgage Solutions Restore Mortgage Confidence Rebuild the industry with information, insight and communication In this business climate, the banks that most effectively mitigate risk in across their

More information

Successful marketing in today s challenging insurance environment. Acquire new customers. Postal databases

Successful marketing in today s challenging insurance environment. Acquire new customers. Postal databases CONSUMER INFORMATION SOLUTIONS Insurance Successful marketing in today s challenging insurance environment With more options available to your customers and more businesses competing for those customers,

More information

Utilizing Experian next generation decision management software to bring customer management to the next level of client experience and value creation

Utilizing Experian next generation decision management software to bring customer management to the next level of client experience and value creation Utilizing Experian next generation decision management software to bring customer management to the next level of client experience and value creation Susan Duffy Scotiabank Robert Stone Experian Christopher

More information

Marketing Optimization. An Experian white paper

Marketing Optimization. An Experian white paper Marketing Optimization An Experian white paper March 2010 Executive Summary For your organisation to thrive it is important to make the most of each customer interaction and maximise customer value. In

More information

Cloud Workload Planning and Placement: A New Opportunity

Cloud Workload Planning and Placement: A New Opportunity Cloud Workload Planning and Placement: A New Opportunity Table of Contents 3 Challenges 4 Gravitant s Unique Approach 4 cloudmatrix Overview 5 How Does it Work? 5 Application Screener 6 Cloud Compare 6

More information

Art or Science? Modeling and Challenges in the Post-Financial Crisis Economy

Art or Science? Modeling and Challenges in the Post-Financial Crisis Economy Art or Science? Modeling and Challenges in the Post-Financial Crisis Economy Emre Sahingur, Ph.D. Chief Risk Officer for Model Risk Fannie Mae May 2015 2011 Fannie Mae. Trademarks of Fannie Mae. 2015 Fannie

More information

THE FAIR CREDIT REPORTING ACT: ACCESS, EFFICIENCY & OPPORTUNITY THE ECONOMIC IMPORTANCE OF FAIR CREDIT REAUTHORIZATION

THE FAIR CREDIT REPORTING ACT: ACCESS, EFFICIENCY & OPPORTUNITY THE ECONOMIC IMPORTANCE OF FAIR CREDIT REAUTHORIZATION THE FAIR CREDIT REPORTING ACT: ACCESS, EFFICIENCY & OPPORTUNITY THE ECONOMIC IMPORTANCE OF FAIR CREDIT REAUTHORIZATION Prepared by the Information Policy Institute with the support of the National Chamber

More information

Application of SAS! Enterprise Miner in Credit Risk Analytics. Presented by Minakshi Srivastava, VP, Bank of America

Application of SAS! Enterprise Miner in Credit Risk Analytics. Presented by Minakshi Srivastava, VP, Bank of America Application of SAS! Enterprise Miner in Credit Risk Analytics Presented by Minakshi Srivastava, VP, Bank of America 1 Table of Contents Credit Risk Analytics Overview Journey from DATA to DECISIONS Exploratory

More information

Corporate Portfolio Management

Corporate Portfolio Management Corporate Risk Corporate Portfolio Management Capital allocation from a risk-return perspective Premise Aligning the right information with the right people to make effective corporate decisions is one

More information

Auto Days 2011 Predictive Analytics in Auto Finance

Auto Days 2011 Predictive Analytics in Auto Finance Auto Days 2011 Predictive Analytics in Auto Finance Vick Panwar SAS Risk Practice Copyright 2010 SAS Institute Inc. All rights reserved. Agenda Introduction Changing Risk Landscape - Key Drivers and Challenges

More information

How To Optimize Pricing

How To Optimize Pricing Pricing Optimization Unsecured Lending Jane Zhong Customer Knowledge & Insights Scotiabank Toronto Data Mining Forum May 15, 2013 Agenda Who we are What is pricing optimization Project Initiative Stakeholders

More information

Fraudulent accounts in collections: improve detection and reduce collector workload. An Experian briefing paper

Fraudulent accounts in collections: improve detection and reduce collector workload. An Experian briefing paper Fraudulent accounts in collections: improve detection and reduce collector workload An Experian briefing paper September 2010 1. The inter-relationship of fraud and collections The fraud and collections

More information

DecisionEdge because everyone needs an edge.

DecisionEdge because everyone needs an edge. DecisionEdge because everyone needs an edge. Quickly turn insights into targeted, actionable outcomes to improve performance across the customer lifecycle In a constantly expanding decision environment,

More information

Tom Aliff Vice President, Modeling and Analytics Martin O Connor Senior Vice President, Global Analytics

Tom Aliff Vice President, Modeling and Analytics Martin O Connor Senior Vice President, Global Analytics Credit scores don t tell the entire story for car buyers A new approach to the 3 C s offers a deeper, more accurate view of risk for subprime auto lending Tom Aliff Vice President, Modeling and Analytics

More information

COMMUNICATIONS & MEDIA Driving Effective Customer Retention for Communications

COMMUNICATIONS & MEDIA Driving Effective Customer Retention for Communications COMMUNICATIONS & MEDIA Driving Effective Customer Retention for Communications Introduction In a world where penetration rates for services like mobile have reached more than 100% in many countries, Communications

More information

Battling for Balances: Targeting the Lucrative Card-to-Card Consumer Balance-Transfer Market. An Experian Perspective

Battling for Balances: Targeting the Lucrative Card-to-Card Consumer Balance-Transfer Market. An Experian Perspective Battling for Balances: Targeting the Lucrative Card-to-Card Consumer Balance-Transfer Market An Experian Perspective The Perfect Storm After several years of turbulence and uncertainty, the playing field

More information

Compliance. Technology. Process. Using Automated Decisioning and Business Rules to Improve Real-time Risk Management

Compliance. Technology. Process. Using Automated Decisioning and Business Rules to Improve Real-time Risk Management Technology Process Compliance Using Automated Decisioning and Business Rules to Improve Real-time Risk Management Sandeep Gupta, Equifax James Taylor, Smart (enough) Systems August 2008 Equifax is a registered

More information

Banking Analytics Training Program

Banking Analytics Training Program Training (BAT) is a set of courses and workshops developed by Cognitro Analytics team designed to assist banks in making smarter lending, marketing and credit decisions. Analyze Data, Discover Information,

More information

Analytic Learning Loops Propel Bankcard Growth

Analytic Learning Loops Propel Bankcard Growth Analytic Learning Loops Propel Bankcard Growth Turn your acquisitions and originations processes into an analytic learning powerhouse for boosting card revenues, margins and profits Number 51 June 2011

More information

MEASURING MARKETING AUTOMATION ROI FOR FINANCIAL ADVISORS

MEASURING MARKETING AUTOMATION ROI FOR FINANCIAL ADVISORS MEASURING MARKETING AUTOMATION ROI FOR FINANCIAL ADVISORS By D. Bruce Johnston, President and COO CaptureTrackConvert Marketing Automation Software www.capturetrackconvert.com 2011 Copyright CaptureTrackConvert,

More information

Understanding Your Credit Score

Understanding Your Credit Score Understanding Your Credit Score Prof. Michael Staten Director, Take Charge America Institute Norton School of Family and Consumer Sciences FEFE Conference, Baltimore, MD April 30, 2010 A Good Credit Score

More information

Big Data: Key Concepts The three Vs

Big Data: Key Concepts The three Vs Big Data: Key Concepts The three Vs Big data in general has context in three Vs: Sheer quantity of data Speed with which data is produced, processed, and digested Diversity of sources inside and outside.

More information

Optimizing Trade-Offs for Strategic Portfolio Management

Optimizing Trade-Offs for Strategic Portfolio Management Optimizing Trade-Offs for Strategic Portfolio Management How Basel II analytics could drive risk-adjusted portfolio strategies Number 4 April 2008 The solutions FICO is exploring would provide mathematically

More information

Whitepaper. IT Strategies for HR Transformation YOUR SUCCESS IS OUR FOCUS. Published on: Feb 2006 Author: Madhavi M

Whitepaper. IT Strategies for HR Transformation YOUR SUCCESS IS OUR FOCUS. Published on: Feb 2006 Author: Madhavi M YOUR SUCCESS IS OUR FOCUS Whitepaper IT Strategies for HR Transformation Published on: Feb 2006 Author: Madhavi M 2009 Hexaware Technologies. All rights reserved. Table of Contents 1. Executive Summary

More information

Decision Solutions Consulting Group. Leading Solutions for Leading Enterprises

Decision Solutions Consulting Group. Leading Solutions for Leading Enterprises Decision Solutions Consulting Group Leading Solutions for Leading Enterprises The Big Picture Enterprises today face a number of challenges Issues Amid the growing complexity of consumer behaviour, economic

More information

Enterprise Risk Management

Enterprise Risk Management Enterprise Risk Management Enterprise Risk Management Understand and manage your enterprise risk to strike the optimal dynamic balance between minimizing exposures and maximizing opportunities. Today s

More information

Turning Data into Action: How Credit Card Programs Can Benefit from the World of Big Data

Turning Data into Action: How Credit Card Programs Can Benefit from the World of Big Data Turning Data into Action: How Credit Card Programs Can Benefit from the World of Big Data A Capital Services White Paper by Dr. Alfred Furth Introduction Scientists tell us that enough sunlight falls on

More information

Predictive Marketing for Banking

Predictive Marketing for Banking Tony Firmani Predictive Analytics Solution Architect Predictive Marketing for Banking Business Analytics software Session Overview Data Drives Decisions Applying Predictive Analytics Throughout Entire

More information

DISCOVER MERCHANT PREDICTOR MODEL

DISCOVER MERCHANT PREDICTOR MODEL DISCOVER MERCHANT PREDICTOR MODEL A Proactive Approach to Merchant Retention Welcome to Different. A High-Level View of Merchant Attrition It s a well-known axiom of business that it costs a lot more to

More information

Acquire with retention in mind.

Acquire with retention in mind. White Paper A Driver of Long-Term Profitability for Personal Auto Carriers Acquire with retention in mind. Use data and analytics to help identify and attract prospects with the highest potential for long-term

More information

In Search of Credit Card Profitability: Finding and Retaining the Most Valuable Bank Card Customers

In Search of Credit Card Profitability: Finding and Retaining the Most Valuable Bank Card Customers In Search of Credit Card Profitability: Finding and Retaining the Most Valuable Bank Card Customers Analyst Author: Dennis Moroney Research Director, Bank Cards June 7, 2010 Reference # V63:16K TowerGroup

More information

Behavior Model to Capture Bank Charge-off Risk for Next Periods Working Paper

Behavior Model to Capture Bank Charge-off Risk for Next Periods Working Paper 1 Behavior Model to Capture Bank Charge-off Risk for Next Periods Working Paper Spring 2007 Juan R. Castro * School of Business LeTourneau University 2100 Mobberly Ave. Longview, Texas 75607 Keywords:

More information

SCORES OVERVIEW. TransUnion Scores

SCORES OVERVIEW. TransUnion Scores S OVERVIEW Scores 1 Table of Contents CreditVision Scores CreditVision Account Management Score.... 2 CreditVision Auto Score....3 CreditVision Bankruptcy Score....3 CreditVision HELOC Score....4 CreditVision

More information

High-Performance Scorecards. Best practices to build a winning formula every time

High-Performance Scorecards. Best practices to build a winning formula every time High-Performance Scorecards Best practices to build a winning formula every time Will your team win or lose? Scorecards drive financial decision making For decades, your organization has used the predictive

More information

Experian s UK Credit Bureau Scores. Version 1.6

Experian s UK Credit Bureau Scores. Version 1.6 Experian s UK Credit Bureau Scores Version 1.6 January 2014 About Experian Decision Analytics Experian Decision Analytics enterprise-wide solutions combine data intelligence, predictive analytics, decisionenabling

More information

Achieving Return on Investment from Modern Revenue Management and Collection Systems. A Decision Analytics briefing paper from Experian

Achieving Return on Investment from Modern Revenue Management and Collection Systems. A Decision Analytics briefing paper from Experian Achieving Return on Investment from Modern Revenue Management and Collection Systems A Decision Analytics briefing paper from Experian August 2007 Introduction In a climate of low cost operating models

More information

CASE STUDY CARDS: DRIVING PROFITABLE GROWTH

CASE STUDY CARDS: DRIVING PROFITABLE GROWTH CASE STUDY CARDS: DRIVING PROFITABLE GROWTH Executive Summary Business Situation Mid-size Retail Bank in the Middle East Retail Portfolio consisting of Credit Cards and Personal Loans Relatively small

More information

GE Capital The Net Promoter Score: A low-cost, high-impact way to analyze customer voices

GE Capital The Net Promoter Score: A low-cost, high-impact way to analyze customer voices GE Capital The Net Promoter Score: A low-cost, high-impact way to analyze customer voices The Net Promoter Score: A low cost, high impact way to analyze customer voices GE Capital s Net Promoter survey

More information

THE USE OF PREDICTIVE MODELLING TO BOOST DEBT COLLECTION EFFICIENCY

THE USE OF PREDICTIVE MODELLING TO BOOST DEBT COLLECTION EFFICIENCY CREDIT SCORING AND CREDIT CONTROL XIII EDINBURGH 28-30 AUGUST 2013 THE USE OF PREDICTIVE MODELLING TO BOOST DEBT COLLECTION EFFICIENCY MARCIN NADOLNY SAS INSTITUTE POLAND Many executives fear that the

More information

Risk Management of the financial Sector. Periklis Dontas Executive Director, Calculus Global Services Aybike Aker - Senior Consultant, FICO

Risk Management of the financial Sector. Periklis Dontas Executive Director, Calculus Global Services Aybike Aker - Senior Consultant, FICO Risk Management of the financial Sector Periklis Dontas Executive Director, Calculus Global Services Aybike Aker - Senior Consultant, FICO Agenda Advisory Services - The future of the financial sector

More information

Balance collections with retention for each customer. Decision Analytics for debt management in retail banking

Balance collections with retention for each customer. Decision Analytics for debt management in retail banking Balance collections with retention for each customer Decision Analytics for debt management in retail banking Debt management for retail banking In the highly competitive retail banking environment, banks

More information

2015 Engineering & Construction Conference

2015 Engineering & Construction Conference 2015 Engineering & Construction Conference Managing Project Risk Using Predictive Project Analytics Bona Allen Mark Blumkin David Pulido Patrick Williams June 18, 2015 Contents Is the E&C Industry Ready

More information

Managing Consumer Credit Risk *

Managing Consumer Credit Risk * Managing Consumer Credit Risk * Peter Burns Anne Stanley September 2001 Summary: On July 31, 2001, the Payment Cards Center of the Federal Reserve Bank of Philadelphia hosted a workshop that examined current

More information

The Predictive Data Mining Revolution in Scorecards:

The Predictive Data Mining Revolution in Scorecards: January 13, 2013 StatSoft White Paper The Predictive Data Mining Revolution in Scorecards: Accurate Risk Scoring via Ensemble Models Summary Predictive modeling methods, based on machine learning algorithms

More information

Afni deploys predictive analytics to drive milliondollar financial benefits

Afni deploys predictive analytics to drive milliondollar financial benefits Afni deploys predictive analytics to drive milliondollar financial benefits Using a smarter approach to debt recovery to identify the best payers and focus collection efforts Overview The need Afni wanted

More information

An effective approach to preventing application fraud. Experian Fraud Analytics

An effective approach to preventing application fraud. Experian Fraud Analytics An effective approach to preventing application fraud Experian Fraud Analytics The growing threat of application fraud Fraud attacks are increasing across the world Application fraud is a rapidly growing

More information

WHITE PAPER. Precision marketing for financial institutions Hit the bulls-eye with predictive analytics. Abstract

WHITE PAPER. Precision marketing for financial institutions Hit the bulls-eye with predictive analytics. Abstract WHITE PAPER Precision marketing for financial institutions Hit the bulls-eye with predictive analytics Abstract With retail banks realizing the value of adopting a targeted (or precision) marketing approach,

More information

Improving decisions across the Customer Life Cycle

Improving decisions across the Customer Life Cycle Improving decisions across the Customer Life Cycle Faster strategy design and execution on a unified platform An Experian white paper The PowerCurve TM platform Executive summary It s more important than

More information

Building and Deploying Customer Behavior Models

Building and Deploying Customer Behavior Models Building and Deploying Customer Behavior Models February 20, 2014 David Smith, VP Marketing and Community, Revolution Analytics Paul Maiste, President and CEO, Lityx In Today s Webinar About Revolution

More information

WHITEPAPER. Creating and Deploying Predictive Strategies that Drive Customer Value in Marketing, Sales and Risk

WHITEPAPER. Creating and Deploying Predictive Strategies that Drive Customer Value in Marketing, Sales and Risk WHITEPAPER Creating and Deploying Predictive Strategies that Drive Customer Value in Marketing, Sales and Risk Overview Angoss is helping its clients achieve significant revenue growth and measurable return

More information

Predictive Analytics: Achieving Greater Decision Accuracy, Better Risk Segmentation, and Greater Profitability

Predictive Analytics: Achieving Greater Decision Accuracy, Better Risk Segmentation, and Greater Profitability Predictive Analytics: Achieving Greater Decision Accuracy, Better Risk Segmentation, and Greater Profitability Lamont D. Boyd, CPCU, AIM Insurance Market Director FICO Scoring Solutions LamontBoyd@FICO.com

More information

Get Better Business Results

Get Better Business Results Get Better Business Results From the Four Stages of Your Customer Lifecycle Stage 1 Acquisition A white paper from Identify Unique Needs and Opportunities at Each Lifecycle Stage It s a given that having

More information

HOW PREDICTIVE ANALYTICS DRIVES PROFITABILITY IN ASSET FINANCE

HOW PREDICTIVE ANALYTICS DRIVES PROFITABILITY IN ASSET FINANCE HOW PREDICTIVE ANALYTICS DRIVES PROFITABILITY IN ASSET FINANCE By Janet Orrick, Analytic Scientist at International Decision Systems EXECUTIvE SUMMARY In today s ever-changing business world, asset finance

More information

Master of Science in Marketing Analytics (MSMA)

Master of Science in Marketing Analytics (MSMA) Master of Science in Marketing Analytics (MSMA) COURSE DESCRIPTION The Master of Science in Marketing Analytics program teaches students how to become more engaged with consumers, how to design and deliver

More information

Optimization applications in finance, securities, banking and insurance

Optimization applications in finance, securities, banking and insurance IBM Software IBM ILOG Optimization and Analytical Decision Support Solutions White Paper Optimization applications in finance, securities, banking and insurance 2 Optimization applications in finance,

More information

Delivering Customer Value Faster With Big Data Analytics

Delivering Customer Value Faster With Big Data Analytics Delivering Customer Value Faster With Big Data Analytics Tackle the challenges of Big Data and real-time analytics with a cloud-based Decision Management Ecosystem James Taylor CEO Customer data is more

More information

Finance. Acquire New Customers CONSUMER INFORMATION SOLUTIONS. Financial Insights Suite P$YCLE

Finance. Acquire New Customers CONSUMER INFORMATION SOLUTIONS. Financial Insights Suite P$YCLE CONSUMER INFORMATION SOLUTIONS Finance Successful marketing is highly challenging in today s competitive financial environment. With more options available to your customers and more businesses competing

More information

Some Statistical Applications In The Financial Services Industry

Some Statistical Applications In The Financial Services Industry Some Statistical Applications In The Financial Services Industry Wenqing Lu May 30, 2008 1 Introduction Examples of consumer financial services credit card services mortgage loan services auto finance

More information

> Cognizant Analytics for Banking & Financial Services Firms

> Cognizant Analytics for Banking & Financial Services Firms > Cognizant for Banking & Financial Services Firms Actionable insights help banks and financial services firms in digital transformation Challenges facing the industry Economic turmoil, demanding customers,

More information

Debt and the customer relationship Managing the customer lifecycle from customer acquisition to revenue recovery

Debt and the customer relationship Managing the customer lifecycle from customer acquisition to revenue recovery Debt and the customer relationship Managing the customer lifecycle from customer acquisition to revenue recovery By Martin Kochman Chief Strategy Officer Transcom A joined up approach Few countries have

More information

OnDemand CRM Executive Brief

OnDemand CRM Executive Brief OnDemand CRM Executive Brief Marketing to the Masses with OnDemand CRM www.tatacommunications.com/enterprise/saas/crm.asp We have seen tremendous results from using OnDemand CRM. Our marketing team has

More information

Mining productivity has declined 28% in the last 10 years. MineLens enables you to reverse the trend and improve productivity.

Mining productivity has declined 28% in the last 10 years. MineLens enables you to reverse the trend and improve productivity. Mining productivity has declined 28% in the last 10 years. MineLens enables you to reverse the trend and improve productivity. MineLens provides mining companies with the strategic business intelligence

More information

Five Predictive Imperatives for Maximizing Customer Value

Five Predictive Imperatives for Maximizing Customer Value Five Predictive Imperatives for Maximizing Customer Value Applying predictive analytics to enhance customer relationship management Contents: 1 Customers rule the economy 1 Many CRM initiatives are failing

More information

PROJECT COST MANAGEMENT

PROJECT COST MANAGEMENT 7 PROJECT COST MANAGEMENT Project Cost Management includes the processes required to ensure that the project is completed within the approved budget. Figure 7 1 provides an overview of the following major

More information

Customer-centric default management Taking collections to the next level

Customer-centric default management Taking collections to the next level Experience the commitment ISSUE PAPER Customer-centric default management Taking collections to the next level This issue paper describes how customer-centric default management can generate both short-term

More information

Customer Management TRIAD version 2.0

Customer Management TRIAD version 2.0 FACT SHEET Customer Management TRIAD version 2.0 Harness the Power of Customer-level Decisions Fair Isaac s Customer Management TRIAD adaptive control system, version 2.0 (CMT 2.0), helps forward-thinking

More information

Operation Management Electives

Operation Management Electives Operation Management Electives Objectives 1. Introduce potential job areas after Operations Management concentration 2. Introduce Operations Management electives supporting these job areas 2 Operations

More information

BANKING ON CUSTOMER BEHAVIOR

BANKING ON CUSTOMER BEHAVIOR BANKING ON CUSTOMER BEHAVIOR How customer data analytics are helping banks grow revenue, improve products, and reduce risk In the face of changing economies and regulatory pressures, retail banks are looking

More information

The case for Centralized Customer Decisioning

The case for Centralized Customer Decisioning IBM Software Thought Leadership White Paper July 2011 The case for Centralized Customer Decisioning A white paper written by James Taylor, Decision Management Solutions. This paper was produced in part

More information

Analyzing CRM Results: It s Not Just About Software and Technology

Analyzing CRM Results: It s Not Just About Software and Technology Analyzing CRM Results: It s Not Just About Software and Technology One of the key factors in conducting successful CRM programs is the ability to both track and interpret results. Many of the technological

More information

SOCIAL MEDIA MEASUREMENT: IT'S NOT IMPOSSIBLE

SOCIAL MEDIA MEASUREMENT: IT'S NOT IMPOSSIBLE SOCIAL MEDIA MEASUREMENT: IT'S NOT IMPOSSIBLE Chris Murdough A lot of excitement and optimism surround the potential of social media for marketers-after all, that is where attractive audience segments

More information

COMMERCIAL BANK. Moody s Analytics Solutions for the Commercial Bank

COMMERCIAL BANK. Moody s Analytics Solutions for the Commercial Bank COMMERCIAL BANK Moody s Analytics Solutions for the Commercial Bank Moody s Analytics Solutions for the Commercial Bank CATERING TO ALL DIVISIONS OF YOUR ORGANIZATION The Moody s name is synonymous with

More information

Retail Analytics The perfect business enhancement. Gain profit, control margin abrasion & grow customer loyalty

Retail Analytics The perfect business enhancement. Gain profit, control margin abrasion & grow customer loyalty Retail Analytics The perfect business enhancement Gain profit, control margin abrasion & grow customer loyalty Retail Analytics are an absolute necessity for modern retailers, it empowers decision makers

More information

4 WHAT IS PREDICTIVE ANALYTICS? 6 WHO USES PREDICTIVE ANALYTICS AND HOW? 10 WHAT ARE THE TYPES OF PREDICTIVE ANALYTICS?

4 WHAT IS PREDICTIVE ANALYTICS? 6 WHO USES PREDICTIVE ANALYTICS AND HOW? 10 WHAT ARE THE TYPES OF PREDICTIVE ANALYTICS? TABLE OF CONTENTS 4 WHAT IS PREDICTIVE ANALYTICS? 6 WHO USES PREDICTIVE ANALYTICS AND HOW? 7 HOW DOES PREDICTIVE ANALYTICS HELP AUTOMATE DECISIONS? 8 HOW DOES PREDICTIVE ANALYTICS DIFFER FROM DATA MINING

More information

Business Process Services. White Paper. Predictive Analytics in HR: A Primer

Business Process Services. White Paper. Predictive Analytics in HR: A Primer Business Process Services White Paper Predictive Analytics in HR: A Primer About the Authors Tuhin Subhra Dey Tuhin is a member of the Analytics and Insights team at Tata Consultancy Services (TCS), where

More information

EFL Case Study: Leveraging EFL to Increase Efficiency in MSME Lending

EFL Case Study: Leveraging EFL to Increase Efficiency in MSME Lending EFL Case Study: Leveraging EFL to Increase Efficiency in MSME Lending BTPN Indonesia Executive Overview BTPN, Indonesia s 4 th largest MSME lender i, engaged EFL to better leverage credit data analytics

More information

Oncology s $5 Billion Opportunity: Oncology Companies Can Improve the Customer Experience

Oncology s $5 Billion Opportunity: Oncology Companies Can Improve the Customer Experience Oncology s $5 Billion Opportunity: Oncology Companies Can Improve the Customer Experience The 2015 ZS Oncology Customer Experience Tracker Jon Roffman, Sankalp Sethi and Pranav Srivastava Oncology s $5

More information

Profitably Managing Risk in Your Credit Portfolio

Profitably Managing Risk in Your Credit Portfolio Profitably Managing Risk in Your Credit Portfolio An Equifax White Paper February 2007 Author: Richard Becker Assistant Vice President, Product Development Equifax Inc. As Acquisition Marketing Cools Off,

More information

IBM Analytical Decision Management

IBM Analytical Decision Management IBM Analytical Decision Management Deliver better outcomes in real time, every time Highlights Organizations of all types can maximize outcomes with IBM Analytical Decision Management, which enables you

More information

MBA IQ Course Syllabus

MBA IQ Course Syllabus MBA IQ Course Syllabus Module 1: General Management, Leadership, and Strategy Understand Scope & Nature of Corporate Strategies Understand Importance of Planning & Organizing Skills Understand Importance

More information

Data Products and Services. The one-stop-shop for all your business-to-consumer data requirements

Data Products and Services. The one-stop-shop for all your business-to-consumer data requirements Data Products and Services The one-stop-shop for all your business-to-consumer data requirements Put data and insight back at the heart of your marketing Knowing who to target, when, via what channel and

More information

What really drives customer satisfaction during the insurance claims process?

What really drives customer satisfaction during the insurance claims process? Research report: What really drives customer satisfaction during the insurance claims process? TeleTech research quantifies the importance of acting in customers best interests when customers file a property

More information

WHITE PAPER. Harnessing the Power of Advanced Analytics How an appliance approach simplifies the use of advanced analytics

WHITE PAPER. Harnessing the Power of Advanced Analytics How an appliance approach simplifies the use of advanced analytics WHITE PAPER Harnessing the Power of Advanced How an appliance approach simplifies the use of advanced analytics Introduction The Netezza TwinFin i-class advanced analytics appliance pushes the limits of

More information

Knowing the customer: this time it s personal. How analytics can help banks achieve superior CRM, secure growth and drive high performance

Knowing the customer: this time it s personal. How analytics can help banks achieve superior CRM, secure growth and drive high performance Knowing the customer: this time it s personal How analytics can help banks achieve superior CRM, secure growth and drive high performance Table of Contents Introduction How advanced analytics changes customer

More information

Real World Application and Usage of IBM Advanced Analytics Technology

Real World Application and Usage of IBM Advanced Analytics Technology Real World Application and Usage of IBM Advanced Analytics Technology Anthony J. Young Pre-Sales Architect for IBM Advanced Analytics February 21, 2014 Welcome Anthony J. Young Lives in Austin, TX Focused

More information

An industry snapshot finds leading US issuers exploring new ways to manage the bottom-line impacts of regulation

An industry snapshot finds leading US issuers exploring new ways to manage the bottom-line impacts of regulation How Are Issuers Changing Course Under the CARD Act? An industry snapshot finds leading US issuers exploring new ways to manage the bottom-line impacts of regulation Number 42 August 2010 Inside: Find out

More information

Valuing a Target Using Net Promoter Score (NPS)

Valuing a Target Using Net Promoter Score (NPS) Valuing a Target Using Net Promoter Score (NPS) By Lumeric Consulting LLC March 2011 Contents Net Promoter Score Overview of Net Promoter Score (NPS) 2-4 NPS case example commercial due diligence 6-11

More information

Maureen Baran SVP Business Development. Kris Bona Business Relationship Officer

Maureen Baran SVP Business Development. Kris Bona Business Relationship Officer Williams College Maureen Baran SVP Business Development Kris Bona Business Relationship Officer Agenda What is credit and why is it so important? Credit reports and credit scores Building credit Comparing

More information

Accenture and Moven Join Forces to Transform Digital Banking Solutions

Accenture and Moven Join Forces to Transform Digital Banking Solutions Accenture and Moven Join Forces to Transform Digital Banking Solutions Joining Forces with Fintech Disruptors to Transform Digital Banking Solutions Accenture & Moven Partnership Digital Disruption is

More information

Asking the "tough questions" in choosing a partner to conduct Customer Experience Measurement and Management (CEM) programs for Your Company

Asking the tough questions in choosing a partner to conduct Customer Experience Measurement and Management (CEM) programs for Your Company Asking the "tough questions" in choosing a partner to conduct Customer Experience Measurement and Management (CEM) programs for Your Company A whitepaper by John Glazier Steve Bernstein http://www.waypointgroup.org

More information

Optum TM Consumer Acquisition Platform. A Next-Generation Approach to Acquire, Retain and Engage Members.

Optum TM Consumer Acquisition Platform. A Next-Generation Approach to Acquire, Retain and Engage Members. Optum TM Consumer Acquisition Platform A Next-Generation Approach to Acquire, Retain and Engage Members. Challenge and opportunity have arrived at the same time for health plans. Millions of consumers

More information

Implementing Portfolio Management: Integrating Process, People and Tools

Implementing Portfolio Management: Integrating Process, People and Tools AAPG Annual Meeting March 10-13, 2002 Houston, Texas Implementing Portfolio Management: Integrating Process, People and Howell, John III, Portfolio Decisions, Inc., Houston, TX: Warren, Lillian H., Portfolio

More information

Exploring the key levers for growth in equipment finance. A Genpact report

Exploring the key levers for growth in equipment finance. A Genpact report Exploring the key levers for growth in equipment finance. A Genpact report Seizing the initiative through equipment finance transformation How would you reduce operating costs by 30% while accelerating

More information