Life insurance and analytics – the rewards are high, but it’s not gambling.

Is it considered gambling if you put your money on a certainty? I recently read a survey that found that only 44% of US households have an individual life insurance policy. I found this statistic incredibly surprising. Yes,  life insurance is a discretionary product and in difficult economic conditions is often one of the first cutbacks when one assesses expenditure. However in the immortal words of Benjamin Franklin “In this world nothing can be certain, except death and taxes” so why would anyone not gamble on a certainty. Likewise, life insurance companies that adopt analytics are no longer gambling on uncertainty.

Life insurance does have a reputation for being a conservative industry and a laggard compared to its P&C sister in terms of technology adoption. But that perception is changing. New York Life and other life insurance companies are embracing Facebook as a new marketing and distribution channel and this change is not just restricted to social media. Life insurance executives are beginning to implement analytics as a way to innovate, differentiate and improve their organizations.

The analytic strategies that life insurers can employ are divided into four representative categories

  • Distribution and Producer Analytics: Influencing distribution and producer behavior through loyalty and lifetime value indicators.
  • Customer Analytics: Finding and understanding the needs of your target customers and providing them with the information they need when they want it and the way they want it.
  • Product Management: Supplementing traditional actuarial and underwriting methodologies with predictive analytic capabilities in the product development life cycle.
  • Operations: Identifying ways to optimize the workforce while creating a better customer experience.

There is no doubt that life insurance companies that continue to operate within their status quo business model will be at a competitive disadvantage in the coming years. Increasingly, insurers must provide unique products and services tailored to meet the diverse needs of their producer and consumer communities. To do so, they need a deep understanding of complex customer behaviors, market segments and product life cycles. Fortunately analytics represents the answer that will enable life insurance companies to transition to this new digitalized world.

To learn more about how analytics is transforming both Life and Property & Casualty insurance companies tune into a webinar with XL Insurance, AXA Equitable and SAS on February 29th at 1pm EST. For more information and to register, click here.

I’m Stuart Rose, Global Insurance Marketing Manager at SAS. For further discussions connect with me on LinkedIn and Twitter.

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Disruption in Insurance – Emerging technologies are breaking the status quo

Last week I was fortunate enough to attend one of my favorite events. Celent’s annual Insurance Innovation and Insight Day, which this year took place in Boston.

The general theme of this year’s event was disruption. How emerging insurance technologies are fostering creative disruption in the tranquil world of insurance. These emerging technologies include telematics, fraud scoring, and even social media (see diagram) In fact based on an upcoming research paper by Celent, 59% of insurers responded that they using social media for marketing functions today, and within 3 years nearly all (93%) would be using it.

This event also shone the spotlight on the carriers and vendors with Celent’s annual Model Carrier of the year award. This year Nationwide were recognized for their Catalyst Program, a strategic initiative aimed at consolidating two $1bn commercial businesses. The success of this project has changed the way Nationwide does business by creating a single platform that processes 100% of their commercial policies and enhancing the business experience for over 6000 agents.

In addition, to Nationwide there were 23 other winners each with a unique story of how they had integrated new technology to disturb the status quo within their organizations to improve efficiency or increase profitability. Included in these winners was Chartis, who were acknowledged for their usage of SAS Business Analytics for best practices of improved risk analysis. Chartis has developed a Strategic Risk Analysis (SRA) team. By using SAS this team created a predictive model that identified that fewer than 3% of all companies were responsible for the majority of insurance claims. This predictive model segmented insureds into risk classes having dramatically different loss ratios. Underwriters consulted the model for each submission and focused on increasing market share in the most profitable segments. Within three years, there was 100% growth in the most profitable segment, representing $14 million in new, executive liability business. Read more on the Chartis success story

Finally the event concluded with an interesting panel discussion, including senior executives from Nationwide, John Hancock and Tokio Marine. Continuing the theme of disruption these executives discussed how prepared they are to managing their business real-time. No longer are 5 year business plans acceptable considering how quickly technology is changing. In fact one executive commented when talking about how fast technology changes, that they have given up planning, they are simply learning how to react quicker!

The insurance industry is changing before our eyes, just because you are a successful carrier today does not guarantee success or even survival in the future as demand changes. Think of the transportation industry, the train companies did not become airlines.

I’m Stuart Rose, Global Insurance Marketing Manager at SAS. For further discussions connect with me on LinkedIn and Twitter.

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Winning the insurance fraud race

Insurance fraud has no doubt existed wherever insurance policies are written, taking different forms to suit the economic times. In early maritime insurance it became a common scam for boat owners to hide the boat in a foreign port and collect the insurance money. In the 19th century came the advent of “railway spine” which led to “trip and fall” and “whiplash” claims in the 20th century. However, even with these fraudulent schemes, fraud received little attention until the 1980s. By this time, rising premiums especially for auto and health policies, plus the growth in organized crime activities, made fraud an issue that insurers could no longer ignore. Today the magnitude of insurance fraud is not only startling but increasing. Recent studies by the National Insurance Crime Bureau (NICB) reported an 18.3 percent rise in questionable claims for the period 2009 to 2011.

However, in reality the full scale of insurance fraud is unknown. Unlike with credit card fraud where fraud is usually identified within a relatively short period of time. With insurance fraud, if the fraudulent behavior is not discovered right away, the insurer may never know it occurred. Consequently, an uninvestigated claim cannot be labeled with respect to fraud.

Fraud is prevalent throughout the entire insurance lifecycle. While a lot of the focus has been on claims fraud, frequently fraud begins during the initial insurance application process.   “Underwriting fraud” or “rate evasion” is the result of misrepresentation of facts that directly affect rating, such as under reporting mileage driven, failure to report prior claims, misrepresent the characteristics of a property etc. Even the Life Insurance industry, normally immune to fraud is experiencing stranger-owned life insurance scams.

Fraud drains profits. Insurance fraud costs companies billions and in turn costs policy holders real money. Lax fraud management practices put a company at a competitive disadvantage. Companies that invested in automated fraud detection systems have been rewarded for their decisions. For example Hyundai Marine & Fire, Korea’s largest P&C insurer, has built a system using SAS that prevents claims fraud and improves premium payment processing, thereby protecting it’s most profitable customers.

The time is right for insurance companies to invest in technology to prevent insurance fraud. Technology-based tools can be used individually or in combination to help companies detect and prevent suspicious activities by uncovering fraud rings, internal fraud and leakage.

To learn more about how Insurers are using information and analytics to stay ahead of criminals read “The Insurance Fraud Race”

I’m Stuart Rose, Global Insurance Marketing Manager at SAS. For further discussions connect with me on LinkedIn and Twitter.

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Transforming insurance fraud detection

2011 was a busy year in the insurance fraud detection business.  As industry groups like the National Insurance Crime Bureau reported that fraud was increasing at a dizzying rate, I met with dozens of insurers across the world to discuss their fraud detection and investigation case management challenges.  What I found most exciting is that insurers are truly starting to see the value of incorporating real analytical techniques into their fraud detection programs.

Changing the way insurance fraud is detected

For far too long, the industry has relied on static red flags and manual referrals from claim adjusters to spot suspicious activity.  As fraud risk exposure grows – through proliferation of organized fraud rings and opportunistic consumers who justify their fraudulent behavior because of economic instability – these manual methods are becoming increasingly inadequate.

Finally, the tide is changing.  Insurers turned to SAS in record numbers to assist them with implementing analytics. Customers in the banking, government, healthcare and property & casualty insurance sectors adopted SAS fraud detection solutions, evidenced by a 370 percent jump in total anti-fraud software revenue from 2010. Several insurers have also implemented SAS Enterprise Case Management to better leverage investigative intelligence across the enterprise.

Throughout the year, we continued to spread the message about how advanced technology can improve results for insurers:

  • We launched The Analytic Insurer, a blog dedicated to solving customer, risk, fraud and operational challenges in insurance.
  • We partnered with Strategy Meets Action to publish research about Using Information and Analytics to Stay Ahead of Criminals in insurance.
  • At the Financial Services Executive Summit, insurers talked about “pushing the magic fraud button” and how technology can improve investigative operations.
  • During the International Association of Special Investigation Units (IASIU) conference in September, analytics was a key theme and I gave a presentation about how proactive analytical fraud detection techniques can help simply workflow and maximize scarce SIU resources.
  • At the SAS Premier Business Leadership Series, panelists described in detail how the Special Investigation Units at CNA and Allstate use the SAS Fraud Framework for Insurance to make smarter data-driven decisions.

So, what does all this mean for 2012?

My prediction is that insurance companies will finally start implementing advanced technology solutions to help detect insurance fraud. There has been lots of talk in the industry about this for years, but we are reaching a tipping point where the technology is finally capable of producing demonstrable and irresistible results. To quote an SIU Analyst customer, with the SAS Fraud Framework for Insurance, “What used to take me most of a day, now takes 10 minutes …  It completely streamlines where we need to go.” Those are powerful words for organizations looking to maximize their SIU resources.

As leading insurers pave the way for adoption of predictive analytics, other companies will find themselves behind the curve. In order to avoid becoming a soft target for would-be insurance criminals, carriers will have no choice but to follow in the footsteps of their early-adopter competitors and seek out a better way to detect suspicious activity.

Will 2012 be the year you implement an advanced insurance fraud detection solution?

James Ruotolo is an insurance fraud technologist, thought leader and the Principal for Insurance Fraud Solutions at SAS. Connect with him on Twitter or LinkedIn.

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How insurance changed the world?

Happy New Year.

As we begin 2012 there is already a lot of talk, maybe too much talk, about the American Presidential elections.  Unfortunately this is something you could blame on insurance. Because without insurance there would be no democracy! A stunning statement, but let me explain.

There is a direct correlation between accumulation of wealth and the need to protect it. Insurance enables the general public to be homeowners and support the private housing market, because without home insurance, households would be unwilling to invest most of their wealth in a single property and would have to rent properties from commercial landlords. Since the vote was initially limited only to homeowners, then it could be argued that insurance directly influenced the growth of democracy.

Even today, insurance has a massive influence on our lives.

At the macro level the industry helps strengthen the efficiency and resilience of the economy. Insurance companies invest in property development, stocks and shares and foreign currency.

At the micro level it brings benefits in all areas of day-to-day life. Insurance helps individuals minimize the financial impact of unexpected and unwelcome future events and helps them organize their  businesses and their lives with greater certainty. Risk averse individuals are able to enjoy greater utility from their most important assets via the purchase of insurance products. Almost every conceivable asset or activity can be insured through familiar product types such as auto, travel, and homeowner insurance, and by business through professional and product liability insurance, cover for business interruption, and many other contingencies.

So the next time someone says, why do we need insurance? Just tell them, without it, anarchy would rule.

I’m Stuart Rose, Global Insurance Marketing Manager at SAS. For further discussions connect with me on LinkedIn and Twitter.

 

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Reasons to be cheerful – 2011 in review

As we begin December it tends to be customary to look back on the year and not being one to break with tradition today’s column will review SAS and analytics from an insurance perspective and the annus mirabilis that was 2011.

As SAS kicked off 2011 with record revenue for the previous year, business analytics could not have been a bigger topic. This article listed the 6 hottest technologies that will transform the insurance industry, leading the way were Data Management, Predictive Analytics and Business Intelligence, the core components of SAS Business Analytics Framework.

In May, a retrospective review of technology changes during the last ten years by publication Insurance and Technology recognized Dr. Goodnight and SAS as one of the top 10 Innovator for Insurance in the previous decade.

Risk continues to be a major subject for insurance carriers, especially those in European with the upcoming Solvency II legislation. While the deadline for the Directive has been pushed back to January 1 2014, this has not delayed the implementation projects for most carriers. SAS continues to be at the forefront for Risk and Solvency II technology with its SAS Risk management for Insurance solution resulting in more than 15 customers worldwide. In October this success was acknowledged by analyst firm Chartis, who named SAS as one of the leading firms for Solvency II technology.

In November, the National Insurance Crime Bureau (NICB) reported a 7 percent rise in questionable claims for the first half of 2011 compared with the previous year.  To help address this growing problem, insurance companies are exploring new technology to help identify suspicious claims and this was substantiated by CNA who announced in February that they would be using SAS Fraud Framework for Insurance in their fight against insurance fraud.

However the pièce de résistance came mid-way through the year when analyst firm Gartner’s report Market Trend: No escaping BI and Analytics in Insurance in 2011 recognized SAS as the leading software vendor for business analytics in insurance.

Fortunately the outlook for 2012 appears just as positive, IDC predict a 8.9% compound annual growth rate over the next five year in business analytics, an Accenture survey showed 72% of North American companies will increase spending on business analytics in 2012 and finally, Insurance Networking News, list Analytics and Data Quality as two of the top 5 trends in insurance for 2012.

I’m Stuart Rose, Global Insurance Marketing Manager at SAS. For further discussions connect with me on LinkedIn and Twitter.

 

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Optimizing Claims – A win-win for insurers and customers.

Of all the processes inherent to insurance, it could be argued that none are more important than the claims process. I was reminded of this by two recent conversations I had with customers and colleagues.

The claims process is typically time-consuming and labor-intensive, involving multiple systems, outdated technology and distributed operational units. The resulting inconsistent processes and inefficient data management sap resources and slow turnaround times, which leads to poor customer service. This feeling was echoed by a conversation with my colleague’s regarding his insurance claims experience. His son was involved in a car accident that resulting in his vehicle being written off. In the days and weeks after the accident he would complain (mostly to me) and get more frustrated with the carrier as he dealt with different departments (adjuster, total loss group, subrogation division) and what he felt like were out-dated processes.  In the end the carrier and my colleague came to a fair settlement, but not after he felt like he had  jumped through multiple hoops and probably resulting in a negative customer experience.

The general consensus is that claims typically account for up to 80% of an insurance company’s costs. When it is stated like that, 80% does seem like an exceptionally large number. But when you start to translate that percentage to premium revenue you realize that the claims operations in most insurance companies are huge. Which brings me to my second conversations, this time with a customer, who indicated that their claims department represented $19bn and employed 11,000 people. I was like WOW, that is bigger that probably 99.9% of all companies.  Of course this customer was a global multi-line carrier, but even for a mono-line insurance company the claims process can represents hundreds of millions of dollars.

Now this is not news to most insurers and over the past few years many have made a lot of enhancements in claims processes but there is still room for improvement and one answer is analytics.

Predictive insurance claims processing, or claims analytics, is the process to analyze the structured and unstructured data at all stages in the claims cycle to make the right decision, at the right time, for the right party. Claims analytics can enhance the bottom line by:

  • Reducing settlement lags and claims payout.
  • Automatically assigning adjusters according to priority and skill set.
  • Analyzing claim data to help with subrogation.
  • Reviewing claims for litigation propensity
  • Fighting increasingly sophisticated fraud.

Adding analytics to the claims life cycle can deliver a measurable ROI with cost savings and increased profits; just a 1 percent improvement in the claims ratio for a $1 billion insurer is worth more than $7 million on the bottom line.

For more information about how analytics can help with optimizing claims read this white paper.

I’m Stuart Rose, Global Insurance Marketing Manager at SAS. For further discussions connect with me on LinkedIn and Twitter.

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Let’s work together – How organizations can benefit from sharing knowledge

Last week I was fortunate enough to attend one of my favorite events the Premier Business Leadership Series in Orlando. This conference brings together thought leaders and business executives from a variety of different industries to talk and learn about leadership and how analytics is helping empower organizations across the global.

The theme of the event is “Innovate. Optimize. Transform” to me though the theme is more about collaboration. Learning how companies are sharing data not only within their different departments to drive strategic direction. But more importantly how they are beginning to share information with their competitors and peers to benefit customers and tackle such major problems like fraud and customer behavior

So on the theme of sharing I thought I would reveal with you what I learnt at this event.

Several sessions were devoted to customer experience and how organizations are having to integrate social media and mobile technology into the customer interaction. Orlando Magic President, Alex Martins, talked about how his company were using Twitter to interact with their fans and how they were sharing (there’s that word again) their customer data with local organizations as well as with their sponsors like Disney. However one my favorite quote came from Eric Webster, VP of Marketing at State Farm, who says that to be really success insurers and other institutions need to think about their customer from the customer perspective and look out.

Of course, no conference these days would be complete without a presentation on Big Data and this was no exception. While many organizations think of big data as simply the amount of data available, The Economist’s Michael Singer, defined it as the 3 V’s – Volume (exabytes, petebytes), Variety (complexity, context ) and Velocity (speed of information). To put it into the context for insurers one executive summed it as perfectly. While we have collected many exabytes of data we do not have access to the data (multiple legacy systems) and cannot interpret or analyze it, i.e. unstructured data.

To learn more about how insurers must start thinking of data as a strategic asset read the survey, Big Data: Harnessing a game-changing asset, conducted by the Economist Intelligence Unit

Another common topic during the conference regarded fraud detection and prevention. In particular, a session involving Tim Wolfe, SIU Director, CNA and Frank Llende, Senior SIU Manager, Allstate. Both Llende and Wolfe spoke about how the skillset is changing within their organizations as insurers turn to technology and data to advance their fraud detection capabilities. They are now just as likely to hire a data modeler as they are Special Investigation expert. Another thing they talked about was how regulators are now allowing (forcing ?) insurance companies to share claims data. For example, the National Insurance Crime Bureau is creating a Medical Crimes Database where all major insurance companies can share medical code records to detect fraudsters who are making fictitious claims across multiple carriers. In fact, Frank Llende summed it up perfectly “ Today, fraud is sexy and the tools investigators are using are cool”.

Finally as I return to normality I will begin working on the ten things you can start doing today to become great.

I’m Stuart Rose, Global Insurance Marketing Manager at SAS. For further discussions connect with me on LinkedIn and Twitter.

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Protectors of customers: Insurers tackle thorny issues in the fight against fraud

At last week’s Premier Business Leadership Series conference in Orlando (which, by the way, was sunny and warm – unlike the snow I returned to in Connecticut) three insurance thought leaders gave a presentation innocuously titled “The Latest Advances in Fraud Detection and Prevention for Insurance.” Now, for the non-insurance people of the world, this topic may sound a little dry, but I came away with a whole new way of thinking about fraud, its impact on me as a consumer of insurance, and (as consumers) our responsibility and expectations around combatting fraud.

Frank Llende, Tom Wolfe and Deb Smallwood discuss trends in fighting fraud

Our moderator ws Deb Smallwood, founder of Strategy Meets Action, a strategy firm focusing on the insurance industry; and our two industry experts were: Frank Llende, Senior Manager of Allstate’s special investigative unit (SIU); and Tim Wolfe, the SIU Director at CNA. Simply stated, SIUs investigate suspicious claim activity for the insurer, and if fraud is identified, the insurer can deny the claim and/or refer the matter to state prosecutors for further action. According to Tim, SIUs became more prevalent in the industry in the early 1990s when states began requiring insurers to have fraud investigation teams. The teams are traditionally made up of people with expertise in field investigations, typically ex-police or military personnel.

While the true dollar impact of fraudulent claims is almost impossible to measure, the Insurance Information Institute estimates that it represents approximately 10 percent of all property/casualty insurance claims: In the 2005-2009 period, the dollar impact of that fraud totals $30 billion. So now you’re saying – fine, the insurance company just writes that off and it doesn’t impact me. Wrong. Fraudulent claim costs are in many ways passed down to all policyholders in the form of increased premium: You’re paying for the bad behavior of others. So, it’s in everyone’s best interests to limit fraudulent activity: Insurers, regulators and policyholders.

In his introduction, Allstate’s Frank Llende told us that personal lines insurance fraud is on the rise: “I’ve never seen anything like the economy we’re in today. I don’t know if it’s increased Medicare or Medicaid fraud, the soft economy or more sophisticated crime rings … but our customers are being attacked and we have to be good stewards of those [premium] dollars. Our customers have a high expectation that we are guarding their dollars. Our customers expect us to be financially sound.”

And CNA’s Tim Wolfe says that “Fraud is hot due to a downturn in the economy…[in commercial lines insurance, where the claim severity is much higher] a couple of big claims could put an insurer out of business. What we’re seeing is more grandiose schemes [from providers], especially around medical billing, equipment, services and transportation. The fraudsters are slick in the way they set up the billing – they know the insurance company’s weaknesses.”

As fraud becomes more sophisticated, insurers are changing their game as well. Here are some of the ways that the industry is evolving their capabilities:

  • Data-driven decision making: At Allstate, “Over the past couple of years, we’ve transformed our home office into an innovation environment. We’ve started to look at data and how it can influence decisions. For us, we always used data in the underwriting process, but we hadn’t looked at how we could use data to manage resources [related to the claims process]. We used to hire ex-military and police, but now we’re hiring modelers [in our SIU]. What we’ve been able to do for the enterprise has been phenomenal. We can show the business where our customers’ dollars are being attacked and allow them to make better decisions about the business: There is no room for fraud.”
  • Empowering the field to make smarter decisions: At CNA, “Typically, the SIUs have provided training to adjusters on the [fraudulent] “flags” when they’re in the field. We hope that adjusters recognize the flags and inform the SIU – but what we found was that most of the referrals into the SIU came from a tiny group of adjusters; they weren’t consistently used. We’re making it easier by providing the information that they need to make better decisions and referrals. We’ve started to implement predictive models and...[we can use those models to] help educate the adjuster in following their instincts. We’re finding that our mindset needs to change” from going to a reactive to a proactive model.

But it’s not all about finding the bad. Frank reminds us that “if you can identify folks quickly that aren’t associated with fraud, you can give them a better customer experience.”

The evolution of these SIUs from “gumshoe detectives” to analytic leaders can be a challenging journey because the influencers of fraud impact every functional area within the organization. “There are clear and distinct data points that help us identify fraud: We can identify these data points and [operationalize them] early in the process, be more predictive, and use more analytic tools to better manage resources. We want to think about a different way of collecting information at the start of the claims process. We want to work with our product partners to see if there are products that are attracting more fraud and ultimately influence product design.” Both insurers echo that fraud detection is not all analytics: “We still need feet on the street. The technology [and analytics] help you identify cases with fraud detection, but you still need people out there doing the hard work and asking the right questions.”

And a final thought from Frank: “I never thought I would find myself recruiting modelers, but there is intense internal competition for these jobs…because the problem is so interesting to solve.”

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Just can’t get enough – How reinsurers can maximize the paucity of data

Insurance is a tough marketplace, but in many respects reinsurance is tougher! Today, the reinsurance industry is faced with an unprecedented number of challenges especially with what appears to be an increasing  frequency and severity of man-made and natural catastrophes.

It is a maxim that “data is the lifeblood for insurers”, but more often than not it’s not about how much data , it’s about how smart you are with the data. While it is true that a reinsurer has access to much less data regarding a particular reinsurance transaction than the ceding company does, it is also the case that reinsurers do have tremendous amounts of data in their possession. Yet many are not utilizing this data to the fullest extent.

One reason is that many reinsurers are still working with paper-based files, which are extremely labor-intensive, full of inefficiency and lack data quality. These manual processes typically lack abilities to provide integrated views of customers, provide inadequate exposure information and have a high risk for errors.

Reinsurance is a low-volume, high-value transaction business requiring reinsurers to gain maximum insight into the scarcity of data.  Reinsurers who focus on data capture, data accuracy and data completeness not only improve their own profitability, but also prepare themselves for increased scrutiny of their own books with the anticipated regulations requirements, like Solvency II and the NAIC Solvency Modernization Initiative (SMI). Hence reinsurance companies need to implement a framework that incorporates data management, advanced analytics and reporting capabilities to address the most critical issues right away, while also expanding to support future objectives and changing market dynamics.

A centralized data repository containing all of the data from reinsurance submissions could be used to supplement the data provided in an individual submission, leading to better information for individual transactions, portfolio analyses, predictive modeling analyses, and better enterprise risk management (ERM).  Reinsurers who are able incorporate analytics based decision making into their practices can separate themselves from their competitors. Ultimately, better use of the available data would lead to a more efficient and more profitable reinsurance company.

For more information about how analytics can help with the art and science of reinsurance read this white paper.

I’m Stuart Rose, Global Insurance Marketing Manager at SAS. For further discussions connect with me on LinkedIn and Twitter.

 

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  • About this blog

    We’re a group of analytics practitioners from the insurance industry. Among us, we have more than 50 years’ experience advising insurance companies across the globe in applying analytics and business intelligence technologies to solve business problems. In this blog, we’ll talk about fraud, risk, regulations, customer value and more, all with an eye toward minimizing losses and maximizing profits.
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