Insight Guide. Predictive Power. Leveraging analytics to mitigate property insurance risk
|
|
- Reginald Dickerson
- 8 years ago
- Views:
Transcription
1 Insight Guide Predictive Power Leveraging analytics to mitigate property insurance risk As the economy, the American public, and the U.S. housing market evolve, property insurance solutions must become more dynamic and proactive. Since the housing bubble burst, affected consumers have recovered and returned to the market, causing an increased demand for homeowners insurance. However, as the rate of new mortgages rises, the rate of fraud has risen as well. Current estimates show that an increasingly high number of property claims are fraudulent, with most going undetected. Fraudulent claims account for a significant portion of all claims received by insurers, costing $80 billion a year, as estimated by the Coalition Against Insurance Fraud.1 1. Coalition Against Insurance Fraud TransUnion LLC. All Rights Reserved Point of sale underwriting is a critical time to identify high-risk policies. By using predictive analytics and property risk verification solutions to confirm occupancy and ownership information, insurers can identify fraud before it leads to costly losses. Similarly, monitoring for changes at renewal and claims presents an opportunity to fight fraud with analytics. Responding to new market demands with risk verification tools and predictive insights can contribute to an enhanced consumer experience and better-informed decisions, while limiting risk.
2 The homeowners market According to data from the National Association of Realtors, purchases of previously owned homes rose in July 2015 for the third consecutive month, reaching the highest level since February A strong labor market and low mortgage rates fueled demand, resulting in a 2.7% increase in sales of existing singlefamily homes, bringing the annual rate to 4.96 million. 2 Parallel to these findings, a recent TransUnion study showed an increase in consumers re-entering the mortgage market since the housing bubble burst. During the mortgage bubble in 2006, 78 million consumers, or 43% of credit-active consumers in the U.S., had a mortgage, and more than 8% of these consumers were impacted when the bubble burst. As defined in the study, impacted consumers, or Boomerang Buyers, refers to those who were 60+ days past due on a mortgage loan; lost their mortgage through foreclosure, short sale or other non-satisfactory closure; or had a mortgage loan modification between the bubble and the burst. The study found that 18% of consumers who were impacted had recovered by December 2014, meaning that over the next five years, 2.2 million Boomerang Buyers would be ready to re-enter the mortgage market. 3 With the uptick in mortgages increasing the demand for new homeowners policies, insurance carriers must improve new business underwriting performance to limit losses while meeting revenue growth objectives. A carrier s prefill solution may help facilitate the quote process, enhance the consumer experience and improve conversions, but does it accurately identify exposure? To make better-informed decisions, insurers are turning to alternative data to improve the application process, determine unacceptable risks and price policies more accurately, all while identifying fraudulent activity. Mitigating fraud with risk verification at the point of sale Regardless of channel, verification of application data is key to developing the most accurate premium. Identification of address discrepancies at the point of sale helps reduce premium leakage and improve profitability. With property fraud on the rise, it is critical to focus on fraudulent identity and occupancy information at the point of sale. The first step is to validate consumer-provided information correctly to make more informed decisions. A policy can only be as strong as the data it is built upon. 7 million consumers that had a mortgage were impacted in 7 MILLION CONSUMERS WHO HAD A MORTGAGE WERE IMPACTED IN THE BURST the Burst Number of consumers Number of consumers (in millions) (in millions) % Bubble (2006) 72 Burst (2009) 92% 7 8% % Current (2014) 82% Title With a mortgage Not impacted Impacted Recovered Not Recovered With mortgage Not impacted Impacted Recovered Not recovered Source: TransUnion credit database Source: TransUnion depersonalized credit database 2015 TransUnion LLC All Rights Reserved Bloomberg Business News, 8/20/ TU 2015 Mortgage Study TransUnion LLC. All Rights Reserved
3 To write homeowner policies accurately, a risk verification solution is vital to flag possible misinformation. Carriers receive notification at the point of sale if an applicant s identity, address, mortgage or property information triggers a possibility of fraud, unauthorized transaction or other misrepresentation. Analytics from the TransUnion Property Risk Verification Platform SM solution have shown we can classify 5% of new business policies as high risk from an occupancy, identity, mortgage, property or insurable interest perspective. These risks have 1.5 to 2 times the loss ratio relativity compared to the less risky 95%. A current TransUnion customer who implemented this solution was able to identify three times the claims frequency in the high- and medium-risk groups. Monitoring for changes at renewal Some solutions primarily leverage current or prior policy data. If rate evasion was practiced on a current policy, it perpetuates to the next policy. With so much at stake, actionable underwriting steps are needed to accurately identify policies with the highest potential for claims. Beyond the initial underwriting process, carriers must monitor their portfolios and address changes in risk. A TransUnion customer recently achieved very favorable, actionable results when running TransUnion Occupancy Alert against their renewal business. By addressing high-risk occupancy exposures, they saw their non-weather loss ratio decrease 29% in less than a year. 12MM NON-WEATHER LOSS RATIO INDEX 12MM Non-weather loss ratio index TransUnion Occupancy Alert implemented 29% decrease Apr 12 May 12 Jun 12 Jul 12 Aug 12 Sept 12 Oct 12 Nov 12 Dec 12 Jan 13 Feb 13 Mar 13 Apr 13 May 13 Jun TransUnion LLC. All Rights Reserved
4 Data and the future of actionable underwriting Insurers estimate that up to 20% of claims are fraudulent, some of which are never detected. Recent trends show an increase in claims occurring for unidentified and unverified properties. Adapting to the future of homeowners insurance starts with data. The speed at which data and analytic tools are becoming available within the personal property insurance market is faster than ever, making it easier to improve underwriting performance. On an annual basis, about 3-4% of a property portfolio will have a non-weather claim that will account for approximately 50% of the insurer s total paid losses. As a result, small changes in underlying risk that increase the insurer s exposure to unanticipated losses or increase the potential for large losses could have a significant impact on underwriting performance. In fact, insurers spend millions of dollars each year inspecting properties to identify potential changes in risk to mitigate unknown exposures. In order to be responsive and optimize the consumer experience while providing accurate rates, carriers must have a comprehensive, configurable solution to detect fraud and validate rating and eligibility factors. This needs to include sophisticated subject selection with the necessary algorithms and match logic for identity, property, occupancy and mortgage. DETECT FRAUD AND VALIDATE RATING AND ELIGIBILITY FACTORS WITH A COMPREHENSIVE DECISIONING SOLUTION PROPERTY Information regarding the ownership status and use of the property Identity Verification on the identity of the policyholders GAin Insights that are: Predictive Timely Easily digestible Usable in existing processes Occupancy Insight into the occupancy status of the property Mortgage Confirmation that policyholders are not currently in foreclosure or mortgage delinquent TransUnion LLC. All Rights Reserved
5 Targeting fraud with analytics To ensure a profitable fraud strategy for improving underwriting performance, carriers should target properties with the highest potential for loss. With the right data and analytics, carriers can predict large losses those that are greater than or equal to 80% of coverage. TransUnion s performance analytics database has shown there is a 140% higher occurrence of large losses in the 1% of properties with the highest risk score. 4 The key is to use insights that are predictive, timely, easy to understand and implementable through existing carrier processes. Leveraging analytics in fraud strategy helps to more accurately identify policies with the highest potential for claims. IMPROVE UNDERWRITING PERFORMANCE BY TARGETING PROPERTIES WITH HIGHEST POTENTIAL FOR LOSS There is a significant opportunity to take action on a small percentage of your book and gain high returns. Pricing inadequacy for risk Low Medium High Inadequately priced but low risk of loss Some pricing inadequacy but low risk of loss (discounts) No issues Higher pricing inadequacy and risk of loss Some pricing inadequacy and risk of loss Higher risk of loss but priced adequately (surcharge) Highest underpriced and highest potential for unexpected losses Higher risk of loss and pricing inadequacy High risk of loss but adequately priced (poor insurance score) Low Medium High Potential for unexpected losses 4. TransUnion Performance Analytics Database: Risk Verification Platform data studies, Standard and Non-Standard Policies, Not all states included TransUnion LLC. All Rights Reserved
6 TransUnion uses property and billing addresses, tradeline, non-credit and credit inquiry data, in conjunction with powerful algorithms, to highlight and return more current, accurate and highly actionable data. Scores and results provide predictive value and actionable underwriting steps. By using property risk verification solutions, carriers can take action on a small number of high-risk applications that have a high probability of loss. These solutions help carriers quickly identify ineligible risk and avoid binding business that could be costly. Using these tools at point of sale, you can conduct a pre-inspection and complete upfront underwriting on an applicant with a high-risk score and multiple flags. At that point an applicant may decide to purchase insurance from another insurer, and adverse selection would be avoided. IMPLEMENTATION OF RISK VERIFICATION PLATFORM Risk Verification Platform output Sample outcome Responding to new market demands In today s fast-moving and ever-changing economy, predictive value and actionable underwriting steps must be further automated and implemented to meet new market demands. The competitive advantages include a positive experience for your clean homeowner applicants and a process that allows underwriters and inspectors to more efficiently and effectively leverage predictive insights to reduce risk. The data and analytical capabilities outlined here can allow you to focus on those segments with unfavorable characteristics in order to plot a new course for profitable and sustainable business as the mortgage market resurges. Questions? For more information on TransUnion s insurance solutions, please inssupt@transunion.com 5 10% High score 10 15% Med score 80% Pass Take action only on the small number of applications that have high probability of loss Quickly identify ineligible risks Configure output based on state, region, agent, channel, etc. Applicant has a high-risk score with multiple flags being generated BUT Insurer stops policy from being bound so a pre-inspection and upfront underwriting can be completed Applicant decides to purchase insurance from another insurer With Property Risk Verification Platform: Adverse selection avoided Fast-tracking to lower risk A significant benefit to carriers is the opportunity to identify and segment out the 80%+ of clean policies with no verification issues. These policies are prime candidates for fast-tracking any of the quoting and binding workflows for faster processing, as well as any efforts to improve the customer experience. These policies might also be preferred candidates to offer cross-sell or multi-line sales opportunities TransUnion LLC. All Rights Reserved
Predictive Analytics for Property Insurance Carriers
INSIGHT GUIDE Predictive Analytics for Property Insurance Carriers Michelle Jackson, Product Development Manager, TransUnion Lisa Volmar, Senior Director, Product Development, TransUnion 2015 TransUnion
More informationMortgage Lending: The Bubble, the Burst and Now What?
Mortgage Lending: The Bubble, the Burst and Now What? How did the financial crisis affect members and how have they fared since? 1 2 3 In the Bubble... What did the credit health of the population look
More informationCOMPARISON OF FIXED & VARIABLE RATES (25 YEARS) CHARTERED BANK ADMINISTERED INTEREST RATES - PRIME BUSINESS*
COMPARISON OF FIXED & VARIABLE RATES (25 YEARS) 2 Fixed Rates Variable Rates FIXED RATES OF THE PAST 25 YEARS AVERAGE RESIDENTIAL MORTGAGE LENDING RATE - 5 YEAR* (Per cent) Year Jan Feb Mar Apr May Jun
More informationCOMPARISON OF FIXED & VARIABLE RATES (25 YEARS) CHARTERED BANK ADMINISTERED INTEREST RATES - PRIME BUSINESS*
COMPARISON OF FIXED & VARIABLE RATES (25 YEARS) 2 Fixed Rates Variable Rates FIXED RATES OF THE PAST 25 YEARS AVERAGE RESIDENTIAL MORTGAGE LENDING RATE - 5 YEAR* (Per cent) Year Jan Feb Mar Apr May Jun
More informationAT&T Global Network Client for Windows Product Support Matrix January 29, 2015
AT&T Global Network Client for Windows Product Support Matrix January 29, 2015 Product Support Matrix Following is the Product Support Matrix for the AT&T Global Network Client. See the AT&T Global Network
More informationAnalysis One Code Desc. Transaction Amount. Fiscal Period
Analysis One Code Desc Transaction Amount Fiscal Period 57.63 Oct-12 12.13 Oct-12-38.90 Oct-12-773.00 Oct-12-800.00 Oct-12-187.00 Oct-12-82.00 Oct-12-82.00 Oct-12-110.00 Oct-12-1115.25 Oct-12-71.00 Oct-12-41.00
More informationWhat s your 5-year vision?
What s your 5-year vision? Does your strategic plan outline how your company will mitigate the effects of increased and volatile losses from natural catastrophes? Will it help you achieve your target growth
More informationInsurance and Banking Subcommittee
Insurance and Banking Subcommittee Citizens Depopulation Update September 16, 2015 Christine Ashburn VP Communications, Legislative and External Affairs 2 3 Depopulation Customer Communications 1. 40 days
More informationDon t be the last to know.
White Paper Commercial Portfolio Risk Management Doesn t Stop with Underwriting Don t be the last to know. Carriers that proactively manage risk during the policy term can better anticipate and respond
More informationANATOMY OF A CREDIT REPORT
ANATOMY OF A CREDIT REPORT As a property manager, there s nothing more painful than placing a new tenant, only to find they can t or won t pay their rent on time. And it s worse when you realize there
More informationOPERATIONS SERVICE UPDATE
OPERATIONS SERVICE UPDATE EXECUTIVE SUMMARY Policy Processing At the June 24 Citizens Board of Governors meeting, Staff committed to achieving year end policy processing service goals by September 1, 24.
More informationCase 2:08-cv-02463-ABC-E Document 1-4 Filed 04/15/2008 Page 1 of 138. Exhibit 8
Case 2:08-cv-02463-ABC-E Document 1-4 Filed 04/15/2008 Page 1 of 138 Exhibit 8 Case 2:08-cv-02463-ABC-E Document 1-4 Filed 04/15/2008 Page 2 of 138 Domain Name: CELLULARVERISON.COM Updated Date: 12-dec-2007
More informationRBC Insurance Fetes Online Auto/Home Insurance Growth
Case Studies, K. Harris Research Note 29 October 2002 RBC Insurance Fetes Online Auto/Home Insurance Growth RBC Insurance's e-business successes are generating greater than $3 million in premiums per month.
More informationCatalog of Auto Underwriting Products
Catalog of Auto Underwriting Products Introduction Verisk Insurance Solutions offers a full range of products and services to help you make superior automobile underwriting decisions. This catalog provides
More informationPlugging Premium Leakage
Plugging Premium Leakage Using Analytics to Prevent Underwriting Fraud WHITE PAPER SAS White Paper Table of Contents Introduction.... 1 Types of Underwriting Fraud... 1 Application Fraud/Rate Manipulation....
More informationPersonal Insurance Underwriting
Personal Insurance Underwriting 3 The Personal Lines Underwriting Process Insurance, which is sometimes referred to as a commodity or a mass-produced product, differs from retail or manufactured operations
More informationEmpowering Brokers to Identify and Combat Mortgage Fraud
Empowering Brokers to Identify and Combat Mortgage Fraud An Equifax White Paper October 2007 Author: Paul Wills Equifax Global Product Management Introduction In today s lending environment, mortgage fraud
More informationEnhanced Vessel Traffic Management System Booking Slots Available and Vessels Booked per Day From 12-JAN-2016 To 30-JUN-2017
From -JAN- To -JUN- -JAN- VIRP Page Period Period Period -JAN- 8 -JAN- 8 9 -JAN- 8 8 -JAN- -JAN- -JAN- 8-JAN- 9-JAN- -JAN- -JAN- -JAN- -JAN- -JAN- -JAN- -JAN- -JAN- 8-JAN- 9-JAN- -JAN- -JAN- -FEB- : days
More informationTime to Query Your Quotes?
Time to Query Your Quotes? Overlooked Data Delivers Powerful Business Insight ORACLE WHITE PAPER FEBRUARY 2015 Table of Contents Introduction 1 Discover a Hidden Treasure Trove 2 Removing Roadblocks 3
More informationBIG DATA and Opportunities in the Life Insurance Industry
BIG DATA and Opportunities in the Life Insurance Industry Marc Sofer BSc FFA FIAA Head of Strategic Initiatives North Asia & India RGA Reinsurance Company BIG DATA I keep saying the sexy job in the next
More informationEmployers Compliance with the Health Insurance Act Annual Report 2015
Employers Compliance with the Health Insurance Act Annual Report 2015 ea Health Council Health Council: Employers Compliance with the Health Insurance Act 1970 Annual Report 2015 Contact us: If you would
More informationFederal Housing Finance Agency
Fourth Quarter 20 FHFA Federal Property Manager's Report This report contains data on foreclosure prevention activity, refinance and MHA program activity of Fannie Mae and Freddie Mac (the Enterprises)
More informationExperian Public Sector
Experian Public Sector Making effective use of data to aid collection 30 th June 2009 Experian Limited 2009. All rights reserved. Experian and the marks used herein are service marks or registered trademarks
More informationDecisionEdge 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 informationInsurance Solutions. 17 October 2013. Risk Solutions
Insurance Solutions 17 October 2013 FORWARD LOOKING STATEMENTS This presentation contains forward looking statements within the meaning of Section 27A of the US Securities Act of 1933, as amended, and
More information2014 STAR Best Practices
2014 STAR Best Practices 1 2014 STAR Best Practices General Servicing Best Practices... 3 Investor Reporting and Accounting... 3 Optimize personnel... 3 Quality and management oversight is key... 3 Reporting,
More informationThe State of Insurance Fraud Technology. A study of insurer use, strategies and plans for anti-fraud technology
The State of Insurance Fraud Technology A study of insurer use, strategies and plans for anti-fraud technology September 2014 The State of Insurance Fraud Technology A study of insurer use, strategies
More informationCredit Report Forensics. Boston University Financial Assistance February 15, 2012 Christina Coviello, Senior Assistant Director
Credit Report Forensics Boston University Financial Assistance February 15, 2012 Christina Coviello, Senior Assistant Director Today s Agenda: What is credit? What is a credit report? How to get a copy
More informationHealth Insurance Exchange Finance Work Group Meeting August 22, 2012 Wakely Consulting Model Table Summaries - Updated
Table 3 Model Take up rate estimates 2014 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Revised 25.0% 25.0% 18.0% 3.6% 3.6% 3.6% 3.6% 3.6% 3.6% 3.6% 3.6% 3.6% Fast 12.0% 18.0% 20.0% 18.0% 6.0% 4.0% 4.0%
More informationHow Can Fleets Control Mounting Fuel Costs? Effective fuel management requires purchase controls and driver behavior modification.
How Can Fleets Control Mounting Fuel Costs? Effective fuel management requires purchase controls and driver behavior modification. How Can Fleets Control Mounting Fuel Costs? 2 Effective Fuel Management
More informationAcquire 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 informationWhite Paper. High Value Data and Analytics: Building a Platform for Growth
White Paper High Value Data and Analytics: Building a Platform for Growth What s hidden in your data? Analyze, realize and optimize the possibilities. Created by industry experts, this publication is the
More informationS-4504.1 SUBSTITUTE SENATE BILL 6252. State of Washington 61st Legislature 2010 Regular Session
S-4504.1 SUBSTITUTE SENATE BILL 6252 State of Washington 61st Legislature 2010 Regular Session By Senate Labor, Commerce & Consumer Protection (originally sponsored by Senators Kohl-Welles, Kline, and
More informationPreventing Healthcare Fraud through Predictive Modeling. Category: Improving State Operations
Preventing Healthcare Fraud through Predictive Modeling Category: Improving State Operations Commonwealth of Massachusetts Executive Office of Health and Human Services Project initiated: July 2012 Project
More informationMortgage Services > Today s mortgage lenders are faced with. constant challenges Equifax can help. CONSUMER INFORMATION SOLUTIONS
CONSUMER INFORMATION SOLUTIONS Mortgage Services > Today s mortgage lenders are faced with constant challenges Equifax can help. From quick access to tri-merge reports to independent third-party appraisals,
More informationFannie Mae s Loan Quality Initiative: Six questions to ask about detecting undisclosed liabilities
Fannie Mae s Loan Quality Initiative: Six questions to ask about detecting undisclosed liabilities Introduction With the June 1 deadline to implement new loan quality control changes outlined by Fannie
More informationHome Affordable Refinance Program
Home Affordable Refinance Program Blake Hampton Fannie Mae Single Family Mortgage March 6, 2013 1 Fannie Mae s Refi Plus Initiative Fannie Mae provides Fannie Mae-to-Fannie Mae streamlined refinance flexibilities
More informationINVESTMENT MANAGEMENT, LLC. Evaluating Financials In a State of Panic
P Z E N A INVESTMENT MANAGEMENT, LLC Evaluating Financials In a State of Panic Financial Stocks in Free Fall Lehman Brothers Holdings Inc. (LEH) 29-Dec-2006 to 27-Nov-2007 (Daily) High: 86.180 U.S. Dollar
More informationReacting to the Challenges: Business Strategies for Future Success. Todd S. Adams, Chief Executive Officer Adams Bank & Trust Ogallala, Nebraska
Reacting to the Challenges: Business Strategies for Future Success Todd S. Adams, Chief Executive Officer Adams Bank & Trust Ogallala, Nebraska Adams Bank & Trust Family Owned for 95 Years $525 Million
More informationHousing Price Forecasts. Illinois and Chicago PMSA, April 2014
Housing Price Forecasts Illinois and Chicago PMSA, April 2014 Presented To Illinois Association of Realtors From R E A L Regional Economics Applications Laboratory, Institute of Government and Public Affairs
More informationSuite. Market - Leading Data, Analytics & Scoring
Suite Market - Leading Data, Analytics & Scoring We have the tools that enable you to avoid risk. Market-Leading Data, Analytics & Scoring Suite As residential mortgage fraud continues to evolve and escalate,
More informationSOUTHEAST EUROPE MORTGAGE FINANCE WORKING GROUP Sofia February 23, 2005
SOUTHEAST EUROPE MORTGAGE FINANCE WORKING GROUP Sofia February 23, 2005 Who We Are Presentation Topics Credit Life Insurance Mortgaged Property Insurance Mortgage Insurance Who We Are The leading international
More informationWhite Paper Integrating Accenture Duck Creek with ECM. Reducing Complexity for the Commercial Insurance Carrier
White Paper Integrating Accenture Duck Creek with ECM Reducing Complexity for the Commercial Insurance Carrier Commercial property and casualty carriers face complexities that have historically challenged
More informationIR Best Practice & the Tools Needed to Achieve it
IR Best Practice & the Tools Needed to Achieve it Belgrade March 2011 Andrew Crockett Senior Specialist Corporate Services Thomson Reuters INTRODUCING THOMSON REUTERS We provide intelligent information
More informationThe New Prior Approval Rate Application Process Frequently Asked Questions
The New Prior Approval Rate Application Process Frequently Asked Questions 1. We understand that a complete underwriting manual must be filed electronically in SERFF with each private passenger automobile
More informationDepartment of Public Welfare (DPW)
Department of Public Welfare (DPW) Office of Income Maintenance Electronic Benefits Transfer Card Risk Management Report Out-of-State Residency Review FISCAL YEAR 2012-2013 June 2013 (March, April and
More informationBuilding an Effective Roadmap
Building an Effective Roadmap Jason Tanner Senior Consultant, Enthiosys Motivated from Within Thank you to our sponsors 2 Agenda What is an effective roadmap? What are roadmap benefits? Why do roadmaps
More informationConsumerViewSM. Insight on more than 235 million consumers and 113 million households to improve your marketing campaigns
ConsumerViewSM Insight on more than 235 million consumers and 113 million households to improve your marketing campaigns Learn how Experian s ConsumerView SM database enables better segmentation for brands
More informationAn 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 informationPrepared by The Office of the Commissioner of Insurance
State of Wisconsin / OFFICE OF THE COMMISSIONER OF INSURANCE Scott McCallum, Governor Connie L. O Connell, Commissioner Wisconsin.gov 121 East Wilson Street P.O. Box 7873 Madison, Wisconsin 53707-7873
More informationFrequently Asked Questions on FHA Lending. Business Considerations Regarding the Decision to Become an FHA Lender
Frequently Asked Questions on FHA Lending Business Considerations Regarding the Decision to Become an FHA Lender January 2009 Economic related criteria that a bank might consider in determining whether
More informationwww.pwc.com/bigdecisions Are you prepared to make the decisions that matter most? Decision making in retail
www.pwc.com/bigdecisions Are you prepared to make the decisions that matter most? Decision making in retail Results from PwC s Global Data & Analytics Survey 2014 retail Showrooming and mobile search.
More informationOCC and OTS Mortgage Metrics Report
Impact on Consumer VantageScore Credit Scores Due To Various Mortgage Loan Restructuring Options January 2010 OVERVIEW The recent economic downturn and the credit market crisis combined to produce immense
More informationU.S. Residential Mortgage Market Update Housing fundamentals improved but headwinds remain
U.S. Residential Mortgage Market Update Housing fundamentals improved but headwinds remain June 2013 Deloitte Center for Financial Services Foreword After years of excess inventory and depressed prices,
More informationMaximize customer value and reduce costs and risk
Maximize customer value and reduce costs and risk companies around the world face the same challenges: How can they lower costs while increasing profitability? Improve efficiency? Identify, attract and
More informationHome Equity Lending Landscape. WHITE PAPER February 2016
Home Equity Lending Landscape WHITE PAPER February 2016 Confidential The recipient of this document agrees that at all times and notwithstanding any other agreement or understanding, it will hold in strict
More informationBe the carrier of choice.
White Paper a Comprehensive, Automated Loss History Database Be the carrier of choice. Industry leaders are simplifying their quoting process by automating loss runs. September 2012 Risk Solutions Insurance
More informationHEALTH INSURANCE EXCHANGES: FEDERAL DEADLINES AND STATE DECISIONS
HEALTH INSURANCE EXCHANGES: FEDERAL DEADLINES AND STATE DECISIONS Annual Meeting: Council of State Governments West July 21, 2012 BOB CAREY RLCAREY CONSULTING AGENDA 1 The Basics: Health Insurance Exchanges
More informationAt the Heart of Improved Business Dexterity
At the Heart of Improved Business Dexterity Be Nimble, Be Quick: Driving Agility in Insurance Abstract The insurance landscape is evolving rapidly and is fraught with challenges. Insurance providers are
More informationORANGEPAPER A HOLISTIC APPROACH TO IDENTIFYING FRAUD IN THE LONG-TERM CARE MARKETPLACE
ORANGEPAPER A HOLISTIC APPROACH TO IDENTIFYING FRAUD IN THE LONG-TERM CARE MARKETPLACE A HOLISTIC APPROACH TO IDENTIFYING FRAUD IN THE LONG-TERM CARE MARKETPLACE INFORM LONG-TERM CARE MARKET ANALYSIS HAS
More informationWritten Submission to the Canadian Council of Insurance Regulators Credit Scoring Working Group
Written Submission to the Canadian Council of Insurance Regulators Credit Scoring Working Group Monday, August 8, 2011 The Co-operators is pleased to provide comments to CCIR s issues paper Use of Credit
More informationSelf-Funding and CIGNA Select Solutions. Brian Helmly Rogers Benefit Group
Self-Funding and CIGNA Select Solutions Brian Helmly Rogers Benefit Group 1 Innovative funding options CIGNA offers more funding options for smaller companies than any other national health company. A
More informationTen Ways to Avoid Common HMDA Reporting Errors
Ten Ways to Avoid Common HMDA Reporting Errors Home Mortgage Disclosure Act (HMDA) data must be submitted to the regulators by March 1 st. During this environment of enhanced regulatory and public scrutiny,
More informationJapan Housing Finance Agency Series S-1 To S-12 Structured Notes 'AAA (sf)' Ratings Affirmed
Japan Housing Finance Agency Series S-1 To S-12 Structured Notes '' s Affirmed Primary Credit Analyst: Toshiaki Shimizu, Tokyo (81) 3-4550-8302; toshiaki.shimizu@standardandpoors.com Secondary Contact:
More informationTransUnion Enhanced Credit Report User Guide UNITED STATES
TransUnion Enhanced Credit Report User Guide UNITED STATES Introduction to the Credit Report User Guide Thousands of companies around the world depend on TransUnion Credit Reports for the consumer insight
More informationUniversal Employer Group Application Package
Universal Employer Group Application Package Coventry Health and Life Insurance Company, Coventry Health Care of Florida, Inc. (hereinafter referred to as Coventry ). Coventry may be referred to as Plan.
More informationWhite Paper. ALM: Manage Your Interest Rate Risk From the Bottom Up
White Paper ALM: Manage Your Interest Rate Risk From the Bottom Up Use asset and liability management (ALM) software and effective business practices to manage interest rate risk. As a credit union leader,
More informationInsurance Insights. When markets hit motorists. How international financial markets impact Compulsory Third Party insurance
Insurance Insights When markets hit motorists How international financial markets impact Compulsory Third Party insurance August 2012 Chris McHugh Executive General Manager Statutory Portfolio Commercial
More informationSCREEN ACTORS GUILD PRODUCERS HEALTH PLAN
SCREEN ACTORS GUILD PRODUCERS HEALTH PLAN General Information ELIGIBILITY RULES AND REQUIREMENTS Effective January 1, 2015 Eligibility for health coverage under the Screen Actors Guild-Producers Health
More informationYellow Brick Road Holdings FY 2015 Summary & 2016 Outlook
Yellow Brick Road Holdings FY 2015 Summary & 2016 Outlook November 11, 2015 Executive Summary: Delivery in FY15, Enhancement in FY16, Position For Growth Delivered on our commitment to get to operating
More informationwww.pwc.com/bigdecisions Are you prepared to make the decisions that matter most? Decision making in manufacturing
www.pwc.com/bigdecisions Are you prepared to make the decisions that matter most? Decision making in manufacturing Results from PwC s Global Data & Analytics Survey 2014 manufacturing Raw material supply
More informationCapital Equipment Financing - University of Rochester Case Study
Capital Equipment: Cash vs. Lease and Other Financing Options Kathy King-Griswold University of Rochester Chris Cowen Prager, Sealy & Co., LLC Overview A discussion of the concepts relating to capital
More informationAshley Institute of Training Schedule of VET Tuition Fees 2015
Ashley Institute of Training Schedule of VET Fees Year of Study Group ID:DECE15G1 Total Course Fees $ 12,000 29-Aug- 17-Oct- 50 14-Sep- 0.167 blended various $2,000 CHC02 Best practice 24-Oct- 12-Dec-
More informationKitsap Bank Active Analytics Success Story: FIS Pinpoint Marketing
Kitsap Bank Active Analytics Success Story: FIS Pinpoint Marketing Kitsap Bank, a $950-million, 20-branch community bank in Port Orchard, Wash., has been serving consumers and businesses in the greater
More informationBusiness Information Services. Product overview
Business Information Services Product overview Capabilities Quality data with an approach you can count on every step of the way Gain the distinctive edge you need to make better decisions throughout the
More informationPredictive Modeling Using Transactional Data
Financial Services the way we see it Predictive Modeling Using Transactional Data Contents Introduction 3 Using Transactional Data 3 Data Quality 3. Data Profiling 3. Exploratory Data Analysis Cohort and
More informationChallenge. Solutions. Early results. Personal Lines Case Study Celina Insurance Reduces Expenses & Improves Processes Across the Business.
Celina Insurance Reduces Expenses & Improves Processes Across the Business About Celina Insurance Group Founded in 1914, Celina Insurance Group is composed of four mutual property and casualty insurance
More informationJon Buschke 3059 Austin Ave Simi Valley, CA 93063 (805) 813-1647 jbuschke@hotmail.com
PDF Raw Data < B Na ec Solar Lease Quote Prepared For: Jon Buschke 3059 Austin Ave Simi Valley, CA 93063 (805) 813-1647 jbuschke@hotmail.com Prepared By: Michael Garcia Solarology 2524 Townsgate rd unit
More informationThe Insurance Score. Answers to frequently asked questions about credit-based scoring in personal lines underwriting
The Insurance Score nswers to frequently asked questions about credit-based scoring in personal lines underwriting 2001 Introduction s our society changes over time, the underwriting of personal insurance
More informationRestore 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 informationPoint of Sale. Presented by: Bill Ayscue, Product Development Manager, Verisk Underwriting John Petricelli, EVP Analytics, Verisk Underwriting
Avoiding Fraud at the Point of Sale Presented by: Bill Ayscue, Product Development Manager, Verisk Underwriting John Petricelli, EVP Analytics, Verisk Underwriting CAS RPM Seminar, March 31, 2014 Agenda
More informationBEFORE THE INSURANCE COMMISSIONER OF THE STATE OF CALIFORNIA
CALIFORNIA DEPARTMENT OF INSURANCE LEGAL DIVISION Rate Enforcement Bureau Nikki S. McKennedy, Bar No. Fremont Street st Floor San Francisco CA Telephone: -- Facsimile: -0-0 Email: Nikki.McKennedy@insurance.ca.gov
More informationUnderstanding the Use of Credit and Scores for Insurance Underwriting
Understanding the Use of Credit and Scores for Insurance Underwriting 1. Why do insurers use credit? Insurance companies use financial history along with other factors (such as years of driving experience
More informationBROKERS MANUAL GENERAL INFORMATION. Coverages Available
BROKERS MANUAL The California FAIR Plan Association (the FAIR Plan) is an association of all insurance companies authorized to transact basic property insurance in California. Established under State law,
More informationReporting, Re-Contracting and Settlement
US HEALTH AND LIFE INSURANCE UNDERWRITING ADMINISTRATION Simple. Seamless. SafeGuard Self-Funding Reporting, Re-Contracting and Settlement The SafeGuard Self-Funding Timeline Ÿ Although SafeGuard Self-Funding
More informationEmployer Group Benefits Data Form 2-100 Eligible Employees
Employer Group Benefits Data Form 2-100 Eligible Employees INSTRUCTIONS FOR COMPLETION 1. Answer all questions completely and accurately. 2. Do not cancel your existing coverage until you receive written
More informationInquiry into matters relating to Credit Card interest rates
Committee Secretary 15 August 2015 Senate Standing Committees on Economics PO Box 6100 Parliament House Canberra ACT 2600 Inquiry into matters relating to Credit Card interest rates The Westpac Group thanks
More informationEquity Default Insurance
Equity Default Insurance Increase your loan volume while mitigating your risk Expand lending opportunities without the risk Eligible Loan Types Include: Closed-End Seconds Home Equity Lines of Equity Default
More informationProposal to Reduce Opening Hours at the Revenues & Benefits Coventry Call Centre
Proposal to Reduce Opening Hours at the Revenues & Benefits Coventry Call Centre Proposal To change the opening hours of the Revenues & Benefits Call Centre to 9am until 5pm Monday to Friday with effect
More informationStopping the Flow of Health Care Fraud with Technology, Data and Analytics
White Paper and New Ways to Fight It Stopping the Flow of Health Care Fraud with Technology, Data and Analytics January 2014 Health care costs are rising and everyone is being affected, including patients,
More informationA Car for College? By Maxine Casey Federal Reserve Bank of Atlanta Lesson Plan of the Year Contest, 2007 2008 Third Place
A Car for College? By Maxine Casey Federal Reserve Bank of Atlanta Lesson Plan of the Year Contest, 2007 2008 Third Place LESSON DESCRIPTION This is a four-day computer-based research project in which
More informationREWRITING PAYER/PROVIDER COLLABORATION July 24, 2015. MIKE FAY Vice President, Health Networks
REWRITING PAYER/PROVIDER COLLABORATION July 24, 2015 MIKE FAY Vice President, Health Networks AGENDA ACO Overview ACO Financial Performance ACO Quality Performance Observations 2 AGENDA ACO OVERVIEW ACO
More informationYour Credit File Explained
Your Credit File Explained Information to guide you through your credit file August 2014 These guidelines will help you to understand your credit file. You should have a copy of your credit file on hand
More informationBust-out fraud. Knowing what to look for can safeguard the bottom line. An Experian white paper
Knowing what to look for can safeguard the bottom line An Experian white paper Executive summary Bust-out is a growing area of fraud for the financial services industry. For organizations across the globe,
More informationIndependent Accountants Report on Applying Agreed-Upon Procedures
Independent Accountants Report on Applying Agreed-Upon Procedures Board of Trustees We have performed the procedures, as discussed below, with respect to the employer contributions remitted by to the in
More informationFrank L. Davis, General Deputy Assistant Secretary for Housing, H. //signed// Ronald J. Hosking, Regional Inspector General for Audit, 7AGA
Issue Date May 13, 2005 Audit Report Number 2005-KC-1006 TO: FROM: Frank L. Davis, General Deputy Assistant Secretary for Housing, H //signed// Ronald J. Hosking, Regional Inspector General for Audit,
More informationALERTS NOTIFICATION USER GUIDE
Page 1 of 10 ABOUT EQUIFAX ALERTS NOTIFICATION USER GUIDE Equifax Canada Inc. Box 190 Jean Talon Station Montreal, Quebec H1S 2Z2 Equifax empowers businesses and consumers with information they can trust.
More informationMy Credit File Date: 23 May 2013 AMELIA INGRID SMITH Your Reference: 105115391
23 Nov 2011 Dear AMELIA SMITH, Thank you for your recent request - here is a copy of your credit file. Veda holds credit related information obtained from a range of sources, such as from credit providers
More information5 P&C underwriting metrics to increase profitability
5 P&C underwriting metrics to increase profitability Matthew Tierney, Principal, Business Advisory Services, Grant Thornton LLP Joseph F. Morris, Founder and President, P&C Insurance Company Strategies,
More informationIncreasing customer satisfaction and reducing costs in property and casualty insurance
Increasing customer satisfaction and reducing costs in property and casualty insurance Contents: 1 Optimizing claim handling 2 Improve claim handling with real-time risk assessment 3 How do predictive
More information