Streamlining Investment Portfolio Management and Control
Download this white paper and find out how a standardized data set and intelligent reporting can help insurance companies remove cost and complexity from managing diverse asset portfolios.
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SMARTSIU Solution: An Intelligent Claims Validation Systems(ICVS) Product [ Source: Infinilytics ]
May 2013- We recently worked with a regional multi-line Property and Casualty Insurance Carrier who was struggling to leverage their internal data to detect unusual patterns, potential frauds and anomalies within their claims. They estimated it was costing the company roughly $10M in additional paid losses each year due to litigated claims, employer/employee linked fraud rings, unchecked MPNs, smaller but more frequent claims involving body shop, claimant, attorney and adjuster fraud ring including unnecessary payments to ...
Be Aggressive: How Insurance Executives Can Fight Back Against Increasing Costs, Risk and Fraud by Analyzing All of Their Data [ Source: Trillium Software ]
March 2013-
Despite investments in the latest claims management systems, data warehouses and analytical tools, you are overlooking valuable information hidden away in free form text fields such as claims adjuster notes and documents in electronic formats such as PDFs.
This white paper demonstrates how insurance companies can access and analyze the 50%+ of your claims data that is just out of reach.
• Reduce annual claims and LAE costs by millions of dollars<...
Using Data Mining To Detect Insurance Fraud [ Source: IBM ]
October 2011- Insurers lose millions each year through fraudulent claims. Learn how leading insurance companies are using data mining techniques to target claims with the greatest likelihood of adjustment, improving audit accuracy and saving time and resources. Read this paper to learn how to combine powerful analytical techniques with your existing fraud detection and prevention efforts; build models based on previously audited claims and use them to identify potentially fraudulent future claims; ensure adjusters focus on claims ...
Enabling Claims Excellence: The Power of a Predictive-Modeling and Data-Driven Approach in the Optimization of an Insurer's Claim Workflow Operation [ Source: Mitchell International ]
July 2010- LexisNexis? Claims Solutions and Mitchell International have joined forces to help insurers improve claims outcomes by combining the unique data and predictive analytics of LexisNexis Claims Solutions with Mitchell's market-leading medical bill review and decision-support workflow solutions. One of our initial focuses has been to address the challenges associated with handling severe auto injury and other difficult and expensive "special needs" claims situations. The new white paper Enabling Claims Excellence: The power of a predictive-modeling ...
Combating Insurance Claims Fraud: How to recognize and reduce opportunistic and organized claims fraud [ Source: SAS ]
September 2009- Many insurers still believe that it is too expensive to detect fraud, and they simply accept a certain amount of fraud loss as a standard cost of doing business. With the increased focus on customer satisfaction, insurers also are understandably reluctant to stall claims processing to investigate a hunch – or worse, to mistakenly target a legitimate claim and an honest policyholder for investigation. However, insurers that have invested in automated fraud prevention systems have been ...
Business Analytics for Insurance Claims: Lower Costs, Improve Service [ Source: SAS Institute ]
July 2009- http://www.sas.com/insvideo. Insurance Companies: See how you can reduce your claims expenses by 10 percent. To find out how Diversified Insurance lowered its loss ratio by implementing SAS, go to http://www.sas.com/insvideo.
Guidelines for Claims Management Systems Selection [ Source: Systema Software ]
January 2009- Selecting a new claims system can be an intimidating task due to the risks involved in going with the wrong choice. The complexity of the evaluation process requires an understanding of technology, change management, licensing and support options among others. The purpose of this white paper is to help you simplify this effort by focusing on what really matters and avoiding getting caught up in the technical and vendor jargon.
The Optimized Insurer: Using Analytics to Optimize Business Performance [ Source: SAS ]
August 2008- The fiercely competitive insurance industry faces spiraling operational costs, increasing regulatory pressures and rising claim settlement costs against a background of economic uncertainty. This white paper explores how SAS Analytics can help insurance companies use their data proactively to better understand their businesses, detect areas for improvement and take remedial action, as well as forecast ahead and plan more proactively for the future in order to protect and grow their market share, despite difficult conditions.
Anti-Money Laundering: Helping Life Insurance Companies Mitigate Regulatory Risk [ Source: SAS ]
June 2008- The U.S. Department of Treasury released in October 2005 the final ruling that life insurance and annuity companies must implement money laundering-prevention programs and comply with Suspicious Activity Report (SAR) guidelines by May 2006. This white paper takes a brief look at ways SAS Anti-Money Laundering is designed to help these companies comply with regulations. You will learn about SAS' ability to detect a variety of suspicious activities. Anti-Money Laundering helps life insurance and annuity companies ...
Claims Fraud Prevention and Management Roundtable [ Source: SAS ]
January 2008- Are you up to date on the latest trends, challenges and costs affecting claims fraud? Do you know what best practices are working and why? Have you explored the market's newest technologies and how they can augment your success? Get an insider's take on today's most pressing claims fraud issues by watching this informative roundtable Webcast.
The State of Claims Fraud Detection and Prevention [ Source: SAS ]
October 2007- This document reveals the findings of a May 2007 research study conducted by Insurance and Technology magazine on claims fraud detection and prevention, in which 102 readers answered an online survey by CMP Research.
Combating Insurance Claims Fraud [ Source: SAS ]
April 2008- This white paper discusses how insurers can take measures to recognize and reduce opportunistic and organized claims fraud. It's purpose it to explain why insurers need more than traditional methods and systems if they expect to manage todays new breed of fraudster and reverse the growing fraud trend.
MMA Uses Advances to Save Fraudulent Claims Payouts Five Times Greater than the Service Costs [ Source: CSC ]
March 2005- UK general insurer, MMA, wanted better measures for combating claims fraud. It was prompted to seek specialist help in view of industry-average estimates of 10% fraud in motor claims and 15% in household claims. MMA opted for CSC's Advances, a comprehensive solution available as a hosted Web service, which saved the insurer five times as much in claims leakage as the company paid for the service, increased the number of claims declined or withdrawn by 63% and reduced ...
MetLife Auto & Home Puts Brakes on Fraud with CSC's Fraud Evaluator [ Source: CSC ]
March 2008- MetLife Auto & Home wanted to keep its claims process moving smoothly, while putting the brakes on fraud. To aid its special investigations unit (SIU), the company helped develop technology to ferret out medical provider, attorney and repair shop fraud.
Challenges in fighting insurance fraud and the value of Special Investigative Unit Outsourcing [ Source: CGI ]
October 2004- While some perceive insurance fraud as a "victimless" crime, its impact on society is far reaching, costing not only insurers but also consumers billions of dollars every year. According to research firm Conning & Company, insurance fraud cost consumers $96.2 billion in higher premiums in 1999 and more than $530 million in higher prices for good and services.2 It estimates that all types of insurance fraud cost the average American household nearly $5,000 a year in the form of higher ...
Samsung Life Insurance - Fighting Fraud with ILOG JRules [ Source: ILOG, Inc ]
April 2008- Samsung Life Insurance is fighting back with a new insurance fraud detection system based on ILOG JRules, the market-leading ILOG business rule management system (BRMS). The Insurance Fraud Detection System (IFDS) spots fraud fast, shortening the inspection time for processing 10,000 claims from two weeks to just one day.
ILOG and SPSS - Accurate, actionable and auditable solutions [ Source: ILOG, Inc ]
November 2007- The ILOG-SPSS solution enables private companies and public-sector agencies to screen large data volumes, target patterns and profiles, and automate decisions and responses. It supports critical business processes that include background checks, fraud detection, pricing and risk scoring, customer retention and fraud detection as well as internal fraud prevention.
Cars and Trucks Are Talking: Why Insurers Should Listen [ Source: Diamond Management & Technology Consultants ]
May 2008- Automotive “telematics” such as event data recorders, global positioning systems, and other emerging innovations could save auto insurers $20 billion in annual claims payouts, or 17 percent of personal lines auto insurance losses each year. These savings will be the result of lower legal costs, more accurate insurance premiums, more efficient claims processing, fewer fraudulent claims, and new revenue from new monitoring and risk prevention services. But the road ahead presents challenges, too. Starting now, and over ...
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INSURANCE: Architecture/Infrastructure, Claims, Customer Insight/Business Intelligence, Distribution, Management Strategies, Policy Administration & Management, Regulation/Financial Systems, Security/Risk Management
BANKING: Architecture/Infrastructure, Channels, Core Systems, Customer Insight/Business Intelligence, Payments & Cards, Regulation/Compliance, Risk Management/Security
ADVANCED TRADING: ATS/ECN/Dark Pool, Algorithmic Trading, Block Trading, Cross Asset Trading, Data Latency, Derivatives, Market Data, OMS/EMS, Trading Infrastructure/Technology, Trading Regulations/Compliance, Trading/Exchanges, Transaction Cost Analysis (TCA)
CAPITAL MARKETS: Asset Management, Compliance, Data Latency, Data Management, Data Security, IT Infrastructure, Operations, Risk Management, Wealth Management

