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Innovation: No Longer an Option

As innovation work matures in corporations, leadership is now initiated more and more in business units and less and less in IT.

Every year, for the last six years, SMA has completed its Innovation in Insurance research report. Our insights are based on targeted research, experience in the industry and insights from our customers. It is with our unique lens that we investigate and analyze innovation in insurance to share trends and findings that will guide the industry into the exciting new year. This year’s report is called “Innovation is Mandatory.” The findings continually point back to the overall theme of the research: Innovation is happening everywhere, in all insurance segments, and it has expanded to the point that ignoring it is no longer an option. See also: Linking Innovation With Strategy   In the report, we look at who in the company is leading innovation. Innovation leadership is now initiated more and more in business units and less and less in IT. The shift is indicative of the internal innovations that are taking place within the organizations: new roles for innovation, strategic planning offices, c-suite positions, and innovation labs, among others. The research also indicates that, as innovation solutions are maturing, there is a natural progression away from IT and toward business management. While leadership for innovation has declined for IT, the research shows that IT still leads in emerging technology adoption. And that makes sense. Five years ago, innovation was in a similar place. SMA anticipates that the trend for emerging technology will follow the same path that innovation has; it will eventually shift toward management by the business. We are already seeing areas where this is happening. As emerging technology becomes mature technology, the transition will continue. Another interesting discovery from the research is that there is a clear indication that insurers don’t believe they are keeping up with the pace of innovation. The pace of new technology adoption coupled with the explosion of insurtech startups entering the marketplace is changing the competitive landscape. The clear majority of respondents identify themselves as mainstreamers just trying to keep up with the pack. It will be interesting to see where that number heads throughout 2018. See also: Global Trend Map No. 6: Digital Innovation   Finally, we see the importance that the changing customer experience has on triggering innovation. The digitization of the world is another force that drives innovation and has resulted in so many of the changes that have been made over the last several years. Becoming a digital insurer is essential to maintaining a competitive edge and shifting the focus toward the customer – we continue to see more value-in-use products and more incentive-based products. The digitization of the insurance ecosystem will continue and prove that innovation is mandatory, and not just for some. Innovation is for all.

Deb Smallwood

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Deb Smallwood

Deb Smallwood, the founder of Strategy Meets Action, is highly respected throughout the insurance industry for strategic thinking, thought-provoking research and advisory skills. Insurers and solution providers turn to Smallwood for insight and guidance on business and IT linkage, IT strategy, IT architecture and e-business.

Retirement Funding, Inequality, Insurance

The current low-yield environment raises questions about retirement savings and inequality. Insurance can help solve the problem.

The current low-yield environment creates a major challenge for people who have to save for retirement. At the same time, in many countries, political efforts to limit public pension obligations increase the need for retirement savings. This makes the current low-yield environment especially harmful and raises questions about the efficiency of the pension reforms. Furthermore, there are indications that the combination of low interest rates and a greater reliance on retirement savings contributes to economic inequality. It will be important to address the growing inequality problem, and insurance can significantly contribute to this goal. Why are interest rates so low? Simply speaking, nominal interest rates should equal inflation plus the real growth rate of the economy. The latter could again be divided into productivity growth, which influences the output per person working, plus the growth rate of the labor force. In principle, monetary policy should not interfere with this relationship, as it is looking at these variables as well (e.g. by following the Taylor Rule). However, there is of course some leeway leading to relatively tight (higher interest rates) or expansive (lower interest rates) monetary policy. Hence, we have four main factors influencing interest rates: inflation, productivity growth, growth of the labor force and monetary policy. Inflation has declined in most advanced economies over the past 40 years and is at a very low level. In spite of the digital revolution, productivity growth rates have been rather low over the past years. Due to low fertility rates, the growth rate of the labor force has significantly declined over the past decades in most advanced economies and has turned even negative in some. Finally, monetary policy has become very expansive to support the slow recovery in many economies. Hence, all the driving factors have worked in the same direction, leading to the current low-yield environment. Given that the demographic trend of declining labor force growth rates is expected to continue and that higher inflation would not help to increase real returns, the only -- albeit limited -- hope for higher interest rates is a reversal of the productivity trend as well as a normalization of monetary policy. Impact on retirement funding Besides the low fertility rates, there is an additional major demographic development: an increasing life expectancy. This implies that we are living longer in retirement, and this in turn implies that we have to transfer more money from work life to retirement to keep appropriate living standards. There are basically two ways to do this: via a (public) pay-as-you-go system or via (private or occupational) retirement savings. See also: Buckle Up: Monetary Events Are Speeding   In a pay-as-you-go system, people in working life transfer a fraction of their income to the people living in retirement. In return, they get a fraction of the next generation's labo- force income when they are in retirement themselves. Hence, the implicit return on the pay-as-you-go contributions is influenced by the growth rate of the individual labor income (inflation plus productivity growth) and the growth rate of the total labor force. As we can see, the implicit return on the pay-as-you-go contribution is harmed by the same factors as the return on retirement savings (i.e. the interest rate). However, it is not affected by the very expansive monetary policy, which is only lowering the return on retirement savings. Hence, pay-as-you-go pensions should become relatively more attractive. Nevertheless, most pension reforms lead to a decreasing relevance of public pay-as-you-go pensions. One reason for this might be that politicians fear that a pronounced increase in social security taxes would not be opportune for their political future. It is important to note, however, that as a result people will have lower public pensions and therefore have to put the dollar they are not investing in the one system (the pay-as-you-go system) into the other system (retirement savings). Whether people are happy with this depends on the relative returns on the two systems. Due to the expansive monetary policy, it is far from given that the retirement savings offer the higher return. Social consequences When people have to save for retirement, they are directly affected by low interest rates. Let’s look at a young household that saves $1.000 per year for retirement, which starts in 40 years. At an interest rate of 2%, the household would have a bit more than $60,000 available at the start of retirement. At an interest rate of 0% (currently, real rates are rather negative) it would be only $40,000. Hence, the household would have to increase its annual savings by 50% to $1,500 to still end up with the $60,000. However, not everyone is affected by the low interest rates to the same degree. For comparison, we look at an older household that is saving $1,000 for five years. For this household, a reduction of interest rates from 2% to 0% translates into a reduction of the end sum from $5,300 to $5,000. Hence, this older household would not have to increase annual savings by 50% but only by 6%. For the young household, one way to compensate the strong impact of the low interest rates would be to increase risk taking. Stocks, for example, typically have an excess return of about 5%. This implies that in the current 0% interest rate environment, the young household would not end up with $40,000 but with more than $125,000! Even though there has never been a long period where stocks fared worse than bonds, many people shy away from taking on financial risk and are still looking for guarantees. Richard Thaler associates this with behavioral biases that could be overcome with the right nudges. However, it is also true that richer people tend to be better able to live with income fluctuations and therefore to take on financial risks. There is another reason why richer people might be better able to live with the declined interest rates: By definition, they already have wealth and therefore profit from the increase in asset prices that comes with decreasing interest rates. This capital gain is especially strong for long-term assets like very long-term bonds, real estate and stocks. As a result, for people with substantial wealth, the net effect of decreasing interest rates might well be positive. Richer people also profit relative to poorer from the shift from the public pay-as-you-go system to a greater reliance on retirement savings. First, public pay-as-you-go pensions often include some redistribution from people with a higher lifetime income to people with a lower income. This redistribution is typically not part of private retirement savings. Second, public pay-as-you-go pensions often provide insurance against some biometric risks that are not necessarily insured in private retirement saving products. One major risk is the individual longevity risk, i.e. the risk that a household outlives its savings. If people are rich enough, they never outlive their wealth but rather pass substantial amounts to their inheritor. However, this applies to far from everyone. Another biometric risk is the disability to work and to earn the labor income that is necessary to save enough for retirement. While richer people also have a disability risk, the financial consequences might be (relatively) smaller as they often also have capital income that is not (or less) affected by the disability. Others, however, risk outliving their savings even before reaching retirement age and falling into poverty due to disability. What should be done? As we have seen, the expansive monetary policy in combination with the shift from a public pay-as-you-go system toward a greater reliance on retirement savings affects people differently and will likely foster inequality. What can we do to address this social problem? First, it is important that central banks are aware of and consider the effects of their monetary policy decisions on retirement savings and inequality. In fact, there are also indications that the relationship works in both ways and that inequality also affects the monetary transmission channel as well as financial stability. As a result, several central banks have already started to analyze the relationship between monetary policy and inequality. Second, policy makers should reconsider the efficiency of shifting the focus of retirement funding from a pay-as-you-go system toward a pre-funded system based on savings. Retirement savings will always be an important pillar of retirement funding and a crucial funding source for long-term investments in an economy. However, there are limits to the efficiency of more savings, and we have to be aware that savings are affected by the same demographic factors that harm pay-as-you-go pensions. To make public pensions more sustainable, policy makers should rather aim to broaden the basis of contributors and to increase flexibility of labor markets and the retirement age. Third, individuals should reconsider which risks they want to take and which not. Retirement saving products with a guaranteed interest rate are still very popular. However, by choosing guarantee products, people substantially reduce the return on their savings even though the long-term nature of their retirement savings would put them in a good position to take the risk themselves. Biometric risks, in contrast, are difficult to take individually but lend themselves to risk pooling. Yet many individuals do not appropriately buy insurance protection against biometric risks like disability or longevity. What does this mean for insurers? See also: 4 Insurers’ Great Customer Experiences   By pooling individual risks, insurers not only support wellbeing of risk-averse individuals but also reduce inequality in a society. The degree to which insurers are fulfilling this valuable role depends, however, on the products they are selling to their customers. When it comes to retirement savings products, it is important that products include protection against biometric risks and not protection against financial risks. Given that insurance regulation aggravates the provision of financial guarantees, supply does not seem to be the problem in this regard. It is rather the demand side that for some reason prefers buying protection against financial risks to products that insure biometric risks. It will be important to increase our understanding of why this is the case and how we could overcome this bias. Further research is needed although behavioral economics already provides some first insights in this regard. Nudges to overcome the described behavioral biases are, for example, increasing the availability of risk information, limiting the number of alternative products and having appropriate default options.

Christian Hott

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Christian Hott

Dr. Christian Hott is an independent economic advisor based in Dannau near Hamburg, Germany. He has over 15 years experience in conducting original research, writing reports and holding lectures in the areas of economic development, financial stability and the regulation of the financial sector.

Open Letter to Bezos, Buffett and Dimon

The great news is that every fix to healthcare's structural problems has been invented -- and you can massively scale them.

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I applaud your announcement of a an organization designed to tackle what we believe is the greatest immediate threat to America -- our status quo healthcare system. I have sent your healthcare leaders the new edition of my book, The CEO’s Guide to Restoring the American Dream - How to Deliver World Class Health Care to Your Employees at Half the Cost. This book draws on my decades as an insider in healthcare, first as an Accenture consultant working inside dozens of hospitals, followed by founding Microsoft’s $2 billion-plus healthcare platform business and more recently as a healthtech CEO (WebMD acquired my company). Since my departure from WebMD, my life’s work has been to find real-life, practical solutions to the root causes of our healthcare system’s dysfunction. Through this, I’ve found microcosms of employers everywhere that have already tackled the most challenging problems, restoring for them and their employees the American Dream that healthcare has stolen. The great news is that every fix to healthcare's structural problems has been invented, proven and modestly scaled. With your large employee base and bully pulpit, you are in a unique position to massively scale these fixes. The wisest employers have found that the best way to slash healthcare costs is to improve benefits. We’ve found no company that has a better benefits package than Rosen Hotels, which spends 55% less per capita on health benefits than a typical company despite having a challenging workforce. For example, 56% of their employees’ pregnancies are categorized as high risk. I highlighted Rosen in my TEDx talk. They’ve invested money that otherwise would have been squandered in healthcare to provide free college to their employees, employees’ children and residents of a nearby neighborhood. Crime in that neighborhood plummeted 62%, and high school graduation rates soared from 45% to nearly 100%. The CEO’s Guide provides more details on what Rosen and many other smart employers are doing. For example, Pittsburgh-area schools, with a superior benefits plan, are spending 40% less than typical schools. See also: 3 Innovation Lessons From Jeff Bezos   There are many options to directly improve your employees’ health benefits while slashing costs. Hundreds of us have contributed to the Health Rosetta, which provides a blueprint for how to purchase healthcare services wisely. The Health Rosetta’s foundation is a set of guiding principles that leading thinkers ranging from Esther Dyson to Bill Gates have contributed to. If I were in your shoes, I’d start in the following places: My book can be found on Amazon or downloaded for free.
  1. Send employees to Centers of Excellence for high-cost/complexity procedures: Typically, 6% to 8% of your employees consume 80% of spending in a given year. Large employers such as Lowes, Pepsico and Walmart have found stunning levels of misdiagnosis (25% to 67%) and overtreatment at low-value centers. For example, 40% of planned organ transplants diagnosed at community hospitals were deemed medically unnecessary after a second opinion from a high-value center such as the Mayo Clinic. Starbucks and Virginia Mason found that 90% of spinal procedures didn’t help at all and that the problems would have been better addressed via physical therapy. A large tire maker put in a proper musculoskeletal program for their employees and has already created nearly 2% of positive EBITA impact. One of the foremost experts in employer benefits, Brian Klepper, estimates that 2% of the entire U.S. economy is tied up in non-evidence-based, non-value-adding musculoskeletal procedures. [See Chapter 12 for more.]
  2. Lead the employer movement to avoid opioid overuse: Every addict needs an enabler. Having deeply studied the underlying drivers of the opioid crisis, I found that employers are the key (unwitting) enabler of the opioid crisis on 11 of the 12 major drivers. The overwhelming majority of those with opioid overuse disorders followed doctors orders, and their drugs were paid for by employers. Unlike other great public health crises, the opioid crisis can’t be solved without significant employer action. You can save money and keep your employees and dependents out of harm’s way by adopting a smart benefits approach. [See Chapter 20 for more.]
  3. Root out widespread criminal fraud: The Economist has called healthcare fraud the $272 billion swindle. More than 150 million health records have been hacked and are available for sale on the dark web. At a meeting with former HHS Secretary Tommy Thompson, I heard the stunning levels of fraud. One Fortune 250 company had more than 500,000 claims that were fraudulent (e.g., claims run 25 times and multiple claims for once-in-a-lifetime procedures such as a hysterectomy). In that room, one of the risk management practice leaders from a Big Four firm called the related ERISA fiduciary risk the largest undisclosed risk he’d seen in his career. The industry hasn’t adopted modern payment integrity software/algorithms for this readily fixable problem. [See Chapter 7 and 19 for more.]
  4. Ensure employees receive the highest-value drugs: Employers such as Caterpillar have taken matters into their own hands as the pharmaceutical supply chain has become rife with hard-to-follow rebates and other tactics designed to redistribute your profits to them. Caterpillar hasn’t seen healthcare spending increases in 10 years, primarily due to getting their pharmaceutical spending under control. [See Chapter 18 for more.]
  5. Establish value-based primary care foundation: As IBM found in a worldwide analysis of their $2 billion healthcare spending, it’s not possible to have a high-performance healthcare system without a proper primary care system in place. More than 90% of what people enter the healthcare system for can be addressed in a high-performance primary care setting (rare in the U.S.). Sadly, most U.S. primary care is like milk in the back of the store to get you to other high-margin and often low-value services. Not only can proper primary care go upstream to address issues before they flare up, it can help their patients navigate complex medical conditions. In fact, Amazon just hired Dr. Marty Levine, who was my parents' doctor in a great Medicare Advantage program. Levine and his team have been invaluable in helping us navigate my father’s Parkinson's journey. Based on what has transpired, I am certain that Levine’s team has saved taxpayers more than $200,000 in likely medical bills. This kind of care is not only outstanding, it more than pays for itself. [See Chapter 14 for more.]
See also: The Key to Digital Innovation Success   The title of my TEDx talk was Healthcare Stole the American Dream - Here’s How We Take it Back. It’s great to see your leadership on this critical issue. The Health Rosetta community stands ready to help your efforts. Sincerely, Dave Chase P.S. We would also encourage you to adopt the Health Rosetta Plan Sponsor Bill of Rights (https://healthrosetta.org/plan-sponsor-bill-of-rights/). In light of your respective backgrounds in financial services, you are likely to be shocked by the lack of disclosure and conflicts of interest that are standard operating procedure in the vast majority of employer health plans. [See Appendix B for more.]

Dave Chase

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Dave Chase

Dave has a unique blend of HealthIT and consumer Internet leadership experience that is well suited to the bridging the gap between Health IT systems and individuals receiving care. Besides his role as CEO of Avado, he is a regular contributor to Reuters, TechCrunch, Forbes, Huffington Post, Washington Post, KevinMD and others.

Lemonade: Chronicle for 2017

Everything was riding on a contrarian theory: that Lemonade’s newness and uniqueness would make it more trustworthy, not less.

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In late 2016, we were as nervous as could be. We were about to launch a challenge to a $3 trillion industry, and it was anyone’s guess how we’d be received. Within hours, feedback from users and influencers allayed our worst fears. But as the hours turned to days, and days to weeks, questions remained. A full year’s worth of data now offers some answers, and what follows are the highlights, and lowlights, of 2017. 1. “Nobody will trust a company called ‘Lemonade’!” A major early question was whether a newborn company, with a juvenile name, could engender the necessary trust. Everything was riding on our contrarian theory: that Lemonade’s newness and uniqueness would make it more trustworthy, not less. You see, traditional insurers often equate trustworthiness with financial strength, which they project by erecting monumental buildings that dominate the skyline. Skyscrapers weren’t within our budget, but in any event we believed such extravagance sends the wrong signal. People worry their insurer lacks the will to pay, not the means. So we established Lemonade as a public benefit corporation, with a view to signaling something very different. We hoped today’s consumers would find our approach refreshing and trustworthy. The data suggest that they have.
Since Jan 1. 2017, Lemonade insured more than 100,000 homes, with our members entrusting us to insure them against more than $15 billion of losses.
See also: Lemonade’s Latest Chronicle   Our total sales for 2017 topped $10 million, with ~5% of our sales materializing in the first quarter, and more than 50% in the fourth. This means our sales are on a strong and exponential growth curve. On launch day, we thought of our team as pioneers and true believers. But after our first year, we know it is our community of more than 100,000 who deserve those accolades. It is they who entrusted billions to a brand new insurer, and it is that trust that is powering the change. Which brings us to the second thing we now know. We know our customers. 2. “Being the cheapest attracts customers — but the wrong customers” The boogeyman in insurance is adverse selection. As an insurer, you set your price based on what a customer should cost you on average. But if, instead of attracting average customers, you attract the kind who switch frequently, or claim excessively, you’re selling at a loss, and your days are numbered. Adverse selection is a particular threat to price leaders. And we were determined to be a price leader. But while we designed our business for value, we also designed it for values – and it was important to us that our customers appreciate both. Value alone selects adversely, but values select advantageously. We breathed a sigh of relief when customers tweeted about Lemonade’s low prices a lot, but about its B-Corp and Giveback even more. The tweeting was an encouraging early data point. As more data came in during the course of the year, our assessment of the adverse selection threat became more rigorous. See, throughout the many decades, the insurance industry has learned that people’s education and job are highly predictive of what kind of risk they represent. If Lemonade’s customers were below average by these measures, we’d have a problem, no matter what our Twitter feed said. Good news: They are not. The stats on Lemonade customers (who, by the way, are 50:50 male and female) suggest our members are more than 100% over-indexed for both graduate degrees and really high-paying jobs. All this notwithstanding the fact that 75% of our members are under the age of 35! The upshot: Lemonade is attracting the next generation of outstanding insurance customers. 3. “Making claims easy will lead to a flood of claims” It’s an open secret in the insurance industry that a painful claims process discourages claims. There’s only so many times you can hear that "your call is important to us and will be answered in the order in which it was received," before you say "to hell with it" and give up on your claim. Instant claims? That could unleash a torrent of frivolous claims. Truth be told, things were hairy for a while. Early in 2017, a couple of large claims arrived in rapid succession. We only had a few customers at that time, and as a proportion of our revenue (known as a "loss ratio") these few claims were daunting. Statistics taught us to expect this kind of lumpiness in the early days, but we still slept fitfully until our business grew and our loss ratio began to normalize. We were in a much healthier place by year’s end (we report our 2017 loss ratio to regulators next month), and the frequency of claims is in line with our modeling. Beyond the noisiness that is a byproduct of small numbers, our system seemed to have improved as we fed it more data. For example, our loss ratio among policies sold in 2016 is more than 2X that of policies sold in 2017. This suggests that our underwriting was pretty shoddy in our early days. Definitely a lowlight. Since then, we’ve taught our systems to be far more careful when underwriting policies, and our bot Maya declined to quote more than $17 million of business in 2017. This has markedly improved the underlying health of our business – but there’s still a ways to go. Early mistakes will continue to drag down our reported loss ratio for awhile. Our knight in shining armor? That’d have to be our claims bot, Jim. When we announced his ability to review, approve and pay a claim in seconds, we surprised a few. Happy to report that, during 2017, AI Jim grew his capacity to pay claims 40X. [caption id="attachment_30120" align="alignnone" width="570"] See also: Lemonade’s New Push: Zero Everything  [/caption] Our algorithms are getting better at flagging attempts at fraud, and we reported several of these to the authorities. Yet overall the data shows that honesty is rampant among our members, and what behavioral economists dub reciprocity is alive and well: About 5% of our customers contact us, after their claim is paid, to say their stuff turned up and they want to return the money. Our team has centuries of combined experience in insurance, but this was a first for them all! A quick look at the instant claims suggests our members spend a lot of time on phones and bikes. But this year had all kinds of losses: big ones like fires and smaller ones like stolen headphones. We are proud to say that we were (and are!) there for our community in times of need. [caption id="attachment_30123" align="alignnone" width="570"] Positive reviews of Lemonade's instant claims[/caption] Stopping to smell the roses 2017 wasn’t all roses. We saw shockingly high loss ratios in the first half of the year, some vicious responses to our stand on guns and knock-off attempts by some of the Goliaths of the industry. At the same time, we saw tremendous adoption by our customers, exciting advances in our tech, licenses from 25 states and a Giveback that amounted to 10% of our revenues. We’re extremely grateful to our team, our customers and our regulators for making 2017 all that it could be. No doubt 2018 won’t be all roses, either, but we will stop to smell them whenever we can. ?

Daniel Schreiber

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Daniel Schreiber

Daniel Schreiber is CEO and co-founder at Lemonade, a licensed insurance carrier offering homeowners and renters insurance powered by artificial intelligence and behavioral economics. By replacing brokers and bureaucracy with bots and machine learning, Lemonade promises zero paperwork and instant everything.

Distracted Living: The Implications

Distracted driving has major negative implications for insurers and society. But this is not the only type of distraction that can cause problems.

One important trend in society over the past decade is our increasing ability to create and consume a seemingly unlimited amount of digital content. Whether the content is for information, entertainment or commerce, the result is that most people are staring at screens of various sizes and swiping, typing, pinching, voice-commanding or interacting with the content in some other way. The services and our ability to communicate and conduct business has had a major impact on society in general, affecting virtually every segment of our world. While there are many good and positive outcomes emanating from the digital world, there are also negative consequences. One of those is the increase in what I call distracted living.

See also: Distracted Driving: a Job for Insurtech?  

Distracted driving, a well-known phenomenon, has major negative implications for insurers and society. The “need” to send text messages, participate in phone calls, do web searches and interact with the vehicles navigation/entertainment system all take attention away from driving. Insurers are painfully aware of this problem, as it has caused a spike in accidents in recent years. But this is not the only type of distraction that can cause problems. Examples of distracted living that can be just as harmful or even dangerous include:

  • Pedestrian accidents. There are many cases of pedestrians walking into traffic, bumping into buildings or falling into fountains due to their rapt attention to content on their smartphones. While YouTube is filled with funny videos of incidents involving the oblivious people, serious accidents have resulted, as well.
  • Lost productivity at work. Many studies have been conducted on employees’ use of social media and other internet services during work hours. Although many companies have policies to limit usage, it is still a serious problem for employers.
  • Workplace accidents. It is one thing for employees to surf the web, text or watch sports highlight videos while at their desks, but quite another when employees on the move at work sites are staring at a screen. Imagine employees who become distracted on constructions sites, in factories with dangerous chemicals or while operating machines. It is easy to see how more workplace accidents can happen.
  • Operators in public transportation. Drivers of trains, planes, ships, streetcars, buses and other types of public transportation must keep their complete attention focused on the task at hand. Yet, there have already been cases of accidents caused by operators who were distracted.
  • Mental health issues. Social media has been a positive force for many individuals, fostering community and connection. But for others, the social media world may result in frayed personal relationships or obsessions, or may lead to mental health issues.
See also: Technology Addiction: A Fatal Distraction  

These are but a few examples of how the easy availability of digital content takes our attention away from important activities. Although many of these are insignificant from an actuarial standpoint for insurers (besides distracted driving), distracted living is still a cause for concern and a trend that the industry should continue to monitor.


Mark Breading

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Mark Breading

Mark Breading is a partner at Strategy Meets Action, a Resource Pro company that helps insurers develop and validate their IT strategies and plans, better understand how their investments measure up in today's highly competitive environment and gain clarity on solution options and vendor selection.

U.S. Insurance Deals: Insights on 2H 2017

Mergers and acquisitions in the second half of 2017 ended on a strong note, and activity should see further acceleration in 2018.

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Executive Summary The U.S. insurance sector announced deal value reached $9 billion in the second half of 2017, down from $24.2 billion in the second half of 2016. Activity remains robust in the brokerage sector, with 232 announced deals, which was 3% higher than in the same period in 2016. Among insurers, megadeals have been limited by uncertainty in terms of the direction of tax and regulatory reforms. Nevertheless, the passing of tax reform at the end of 2017 and postponement of the implementation of the Department of Labor’s fiduciary rule until 2019 will likely improve clarity for deal making in 2018. Insurers are expected to continue to divest capital-intensive or underperforming businesses. Private equity will no doubt continue to pursue U.S. insurance sector assets, which are now more attractive due to a lower corporate tax rate. Trends and highlights
  • 271 insurance deals were announced for a disclosed $9 billion deal value in 2H 2017 (of which 248 deals had undisclosed deal values)
  • Insurance broker deals remained the most active, composing 86% of deal volume
  • For insurance underwriter deals, the life and property/casualty sectors each contributed more than $4 billion in disclosed deal value while property/casualty led in deal volume
Highlights of 2017 deal activity Robust deal activity in 2H 2017 There were four announced deals valued in excess of $1 billion, for a total of $6.1 billion, in the second half of 2017. See also: U.S. Insurance Deals: Insights on First Half   Key transactions and themes The Hartford agreed to two major deals in the last quarter of 2017, including an acquisition and divestiture:
  • Hartford Financial Services Group unit Hartford Life and Accident Insurance agreed to acquire Aetna’s U.S. group life and disability business for $1.45 billion.
  • An investor group, including Pine Brook Partners, TRB Advisors, Atlas Merchant Capital, Cornell Capital, Basel, J. Safra Sarasin Holding and Hamilton, Global Atlantic Financial Group and Hopmeadow Holdings GP, agreed to acquire Talcott Resolution, a run-off life and annuity business, from Hartford Financial Services Group for $1.6 billion.
Private equity consortiums are exhibiting interest in runoff variable annuity platforms as insurers focus on new risks:
  • In December, an investor group, including Apollo Global Management, Reverence Capital Partners Crestview Advisors and Athene Holding, agreed to acquire the closed block variable annuity and fixed annuities businesses from Voya Financial for $1.1 billion.
The other notable deal announced in 2H 2017 of more than $1 billion in deal value was:
  • Assurant’s November agreement to acquire Warranty Group from TPG Capital Management for $1.9 billion. Warranty Group provides underwriting, claims administration and marketing expertise to manufacturers, distributors and retailers of consumer goods including automobiles, homes, consumer appliances, electronics and furniture, as well as specialty insurance products and services for financial institutions.
Top 10 US Insurance and Bermuda Deals Announced in 2017 (by value) [caption id="attachment_30075" align="alignnone" width="650"] Source: S&P Global Market Intelligence[/caption] Sub-sector highlights and outlook
  • Life and Annuity — This sector has been suffering through the persistent low-interest-rate environment that has weighed on insurers’ investment portfolios. Nevertheless, the U.S. Federal Reserve raised the fed funds rate three times in 2017, and there are expectations of additional increases in 2018. Opportunities remain for insurers to exit capital-intensive or non-core businesses, with investor interest in closed blocks and narrow concentrations. In a recent deal, an Apollo-led investor group purchased the closed block variable annuity and fixed annuity businesses of Voya Financial for $1.1 billion. Also, The Hartford agreed to sell its runoff life and annuity business, Talcott Resolution, for $1.6 billion to an investor group.
  • Property/Casualty — Deal activity increased in the sector during the second half of 2017. In addition to traditional M&A, the P&C sector has seen mega insurance legacy transfer transactions, headlined by AIG’s $9.8 billion reinsurance, excluding interest, with National Indemnity to take on long-term risks from legacy commercial policies announced in January 2017.
  • Insurance Brokers — The segment continued to be the most active in terms of deal volume in 2H 2017. The most activity came from several serial acquirers buying regional brokers, further consolidating the market. The five most active acquirers were Acrisure, Hub International, National Senior Insurance, Alera Group and NFP.
See also: Insurance 2025: Smart Contracts   Conclusion and outlook Deals in the second half of 2017 ended on a strong note and activity should see further acceleration in 2018 as insurers continue to focus on cutting costs, achieving scale, and enhancing and streamlining or consolidating dated technologies.
  • Macroeconomic environment: The economic environment improved in the second half of 2017, although persistently low interest rates and geopolitical uncertainty continue to constrain insurers’ revenues and profitability. Life insurers have used both divestitures and acquisitions to manage the low-return environment and transform business models.
  • Regulatory environment: Increased oversight and uncertainty have heavily influenced insurers’ business models and strategies, forcing many to exit businesses, often through divestiture. The current presidential administration favors easing regulation, and the U.S. Department of Labor Fiduciary Rule enforcement has been delayed until July 2019, which may mitigate near-term implications for insurers that use exclusive agents.
  • Tax Reform: The passage of the Tax Cuts and Jobs Act is expected to be a mixed bag for insurers. Changes to the corporate tax rate, special insurance company provisions and the switch to a territorial system with anti-base erosion provisions significantly affect insurance companies (including reinsurers), both U.S.-based and companies based elsewhere that do business in the U.S. For some companies, life insurance products and taxation of international transactions changes are costly and outweigh the benefit of reduced tax rates. For other companies (e.g., issuers of short-tail products), changes in the computation of taxable income are more modest. In addition, companies that were chronically subject to AMT under current law may now look forward to an eventual refund of minimum tax credits. The companies that stand to gain the most from reduced tax rates would be U.S.-based multinational companies. See Tax reform insurance alert and Tax reform impact on private equity for additional discussion on the impacts from the Tax Cuts and Jobs Act.
  • Technology: Insurers have been slower than many other industries to adopt new technologies, but they are increasing investment in technology and innovative platforms. According to CB Insights and Willis Towers Watson, insurtech funding volume increased 38% year over year in 3Q 2017. In a headline-grabbing deal, Lemonade raised a $120 million Series C funding round led by SoftBank.
  • Canada interest: Closer to home, there is evidence of an increasing appetite from Canadian buyers. In the second half of 2017, there were three announced deals in which the acquiring company was Canada-based. The largest deal was Quebec-based Industrial Alliance Insurance agreeing to acquire Columbus, Ohio-based Dealers Assurance and Albuquerque, N.M.-based Southwest Reinsurance for $135 million. Also, Toronto-based Intact Financial completed its acquisition of Bermuda-based OneBeacon Insurance Group from Hanover, NH-based White Mountains Insurance Group for $1.7 billion.
  • Public offerings: Several major global insurers have responded to the low-growth environment in the U.S. with significant divestitures or restructuring. MetLife successfully completed the spinoff its U.S. retail business, Brighthouse Financial, in August. AXA also filed preliminary documents for an IPO of its U.S. operations this past November. It seems likely that other large insurance companies will have similar divestiture or restructuring plans.
  • Asian inbound interest: The past several years have seen Asian firms expand their global footprint in the U.S. insurance market. While Asian investors maintain a global appetite, regulatory and shareholder skepticism remains a hurdle. A bid by Anbang to acquire Fidelity and Guaranty fell through in April. China Oceanwide’s acquisition of Genworth has yet to close and is still under CFIUS review.
You can find the full report here.

John Marra

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John Marra

John Marra is a transaction services partner at PwC, dedicated to the insurance industry, with more than 20 years of experience. Marra's focus has included advising both financial and strategic buyers in conjunction with mergers and acquisitions.

Picking Winners Among 2017 Innovators to Watch

2017 Innovators to Watch Winners

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With tens of thousands of early-stage tech startups focused on transforming risk and insurance, it’s understandable if many in the insurance industry struggle to identify potential partners to drive their innovation efforts.

We try to make that less of a struggle.

The core of ITL’s mission is to work with entrepreneurs and incumbent insurers to produce systematic innovation based on technology. Our Innovator’s Edge platform helps insurance industry members define their innovation growth strategies, discover opportunity and execute solutions that scale, while drawing on relevant startups from around the world.

Innovator’s Edge is, quite simply, a growth platform for early-stage companies as well as for industry incumbents, regardless of size.

To help with the vetting, we select six Innovators to Watch each month from the growing population of early-stage companies that take the extra step of completing our Market Maturity Review, or MMR. Starting in 2017, we have published a monthly list of companies with a compelling solution, business model and team. The MMR comprises five modules of information designed to provide a potential insurance partner or investor with additional detail on a company and its solution, beyond the sort of data you can get from those who just track startup funding.

In 2017, we recognized 54 companies as Innovators to Watch. As we prepare to recognize more companies in the year ahead, we looked back at those companies and are excited to report that the information from the MMRs, combined with algorithms running on IE and with our innovation system, leads to an ability to select scalable winners at a ratio that would defy credibility if we published the number.

With full recognition that 54 is a small data sample, we still found some of the data revealing:

As a group, 40 of the Innovators to Watch have generated $436 million in total funding to date, for an average of $10.9 million. (Fourteen of the 54 companies reported a range of funding, as NDAs limited their ability to disclose details.) Since the announcement, Vertafore paid an undisclosed amount to buy one of the companies, RiskMatch, which provides analytics, portfolio management and placement intelligence.

The largest number, nearly 30%, were founded in 2016, followed by 24% founded in 2012. The newest was founded in 2017, and the oldest was founded in 2005.

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TechCrunch collaborated with Crunchbase in 2015, then again in 2017, to complete studies of gender diversity among startups in Silicon Valley. In both studies, approximately 17% of all startups included women among their founders. Insurance industry statistics mirror that number: Women hold less than 10% of "C-level" roles and an estimated 17% of the next tier of executive positions. By contrast, 48% of our Innovators to Watch from 2017 include female founders.

The companies are located around the world, though nearly 75% are based in the United States.

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The 2017 Innovators to Watch focus on a wide swath of the insurance value chain. Slightly more than half—52%—provide solutions to broadly benefit insurance companies, from better data and analytics to risk information and enhanced process capabilities. The next largest areas of focus were agents and brokers, 15%, and healthcare/health insurance, 13%.

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The innovative technologies deployed by these innovators is a long list, but analytics, big data and business intelligence are most frequently cited.

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We followed up with the Innovators to Watch to learn what the recognition meant for them.

Of the honorees, 87% used the recognition in their marketing and promotional efforts, including social media, web site, email signatures and sending the news to current and prospective customers.

Also, 81% said being named an Innovator to Watch contributed to a positive outcome in their business development, with honorees noting it raised their credibility, added visibility and drove traffic to their web sites.

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"Innovators Edge is a leading publication in the insurtech ecosystem. Being named one of the Innovators to Watch gave us a huge credibility boost," one founder said.

"Being identified and published as one of ITL’s 6 Innovators to Watch helped us gain exposure, be taken more seriously with our future technologies and strengthen our relationship with global reinsurers," another said.

We are glad that the recognition program helped. We hope that it is similarly useful to other early-stage tech companies that are wondering how to boost their visibility and relevance to potential insurance industry partners; being part of Innovator’s Edge and completing the MMR is a good start.

For those insurance industry incumbents that are struggling to find meaningful innovators and insurtechs, Innovators to Watch is our chance to share with you some of the more interesting and innovative startups, ones that we believe hold great promise for driving exponential growth. The global community of early-stage companies knows all too well that the best ideas never stand the test of markets, of adoption, without a solid team focused on execution, and we’ll help where we can.  

Stay tuned in 2018 for more Innovators to Watch.

View the complete list of all 54 companies recognized as Innovators to Watch in 2017.

Cheers,

Paul Carroll,
Editor in Chief


Paul Carroll

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Paul Carroll

Paul Carroll is the editor-in-chief of Insurance Thought Leadership.

He is also co-author of A Brief History of a Perfect Future: Inventing the Future We Can Proudly Leave Our Kids by 2050 and Billion Dollar Lessons: What You Can Learn From the Most Inexcusable Business Failures of the Last 25 Years and the author of a best-seller on IBM, published in 1993.

Carroll spent 17 years at the Wall Street Journal as an editor and reporter; he was nominated twice for the Pulitzer Prize. He later was a finalist for a National Magazine Award.

Taking Care of Small-Medium Business

Succeeding in the SMB market requires understanding the unique characteristics of segments and developing appropriate strategies for each.

In the 1973, Bachman Turner Overdrive hit song, Taking Care of Business, it talks about employees getting annoyed and becoming self-employed, something that is happening 45 years later in the new gig economy. The growth of new small and medium businesses and the fight for talent is creating challenges and opportunities for insurers. And just like the song … in today’s rapidly changing marketplace with new products and competitors, insurers must take care of SMB businesses to grow, let alone survive. Change is being forced on insurers, whether they like it or not. A new insurance paradigm is being crafted, regardless of whether incumbent insurers choose, or are able, to play to compete in a new digital era … Digital Insurance 2.0. Uniquely, SMBs are at the forefront of this digital shift and at the center of business creation, business transformation and growth in the economy. Representing the vast majority of all U.S. businesses, SMBs promise huge market potential for insurers to provide coverage for both traditional and new, emerging risks. However, the business models and products from Insurance 1.0, present during the last 30-plus years and built around the Silent and Baby Boomer generation business owners, will not work in a Digital Insurance 2.0 era that is driven by Millennial and Gen Z business owners. Succeeding in the SMB market requires an understanding of the unique characteristics of individual segments and developing appropriate strategies for each. New Expectations and Behaviors Set a New Competitive Bar To help insurers capture these opportunities and adapt to Digital Insurance 2.0, Majesco recently conducted a new primary research study. The study built on last year’s research, The Rise of the Small-Medium Business Insurance Customer, which revealed increasingly higher participation rates in digital trends and technologies as well as interest in considering new insurance-related digital capabilities, new products and new business models. In this year’s research, we dived deeper into these new products, business models and capabilities to assess their interest and their potential to accelerate the shift to Digital Insurance 2.0 offerings — offerings that could challenge traditional Insurance 1.0 business models. We decomposed a range of new products and business models into individual attributes and gauged reactions to them across both business size and owner generation. The results provide insight on the competitive bar set by these emerging new innovations and competitors. So, what did we find? The new research report, Insights for Growth Strategies: The New SMB Insurance Customer, underscores an acceleration in digital-driven SMB behaviors and expectations, as well as strong openness to considering buying and switching to new products, services, capabilities and business models that reflect Digital Insurance 2.0. In analyzing the data, we found that the differences across the business size and owner generation segments have vital implications for insurers on why and how they must shift to engage and provide innovative, relevant products to an increasingly digitally oriented SMB market. Interestingly, between the 2016 and 2017 Majesco surveys, we found an acceleration of as much as 20% in digital behaviors and the use of new technologies, particularly for Gen X and Boomers. Gen Z and millennials also maintained their digital leadership position, with 80%-90% across all company sizes engaging in at least one trend or technology, but often engaging in multiple trends or technologies. These technology-driven behaviors signal an acceleration across all business sizes and generations in reshaping insurance to Digital Insurance 2.0. Increasingly, these behaviors and technologies are embedded in new products and business models introduced by new competitors, which will attract new customers and encourage existing customers to switch. See also: How Small Insurers Can Grow   The top trends and technologies across all the business sizes and generational groups included:
  • hired a freelancer/independent contractor for a limited period,
  • used cloud-based subscription fee software (e.g. Microsoft Office),
  • paid for something with ApplePay/Samsung Pay,
  • used smart devices within the office/building,
  • worked as a freelancer/contractor,
  • and used an app to monitor the business office or building for security or equipment.
Most striking, the relationships between generation and company size accentuates two significant gaps; a growing generational gap and a widening gap between Insurance 1.0 and Digital Insurance 2.0, whereby participation is greater for the larger and younger segments, and decreases for the smaller and older segments. This sets the stage for customers shifting to fresh, innovative products and business models introduced by new competitive players. New Innovations and Competition to Take Care of SMB Businesses The digital revolution is rewriting the rules of business and, with it, redesigning organizational and business model structures. Insurers are faced with a predictive dilemma: Among all of the new models and products emerging in the insurance market, which ones will gain traction in the market? How fast? And for whom? Based on our research, a number of top-rated attributes with overwhelmingly strong appeal offer immediate options for insurers to test and learn in the market. For example, reducing costs and risks through value-added services, quote and buy and social networking options are areas where insurers can immediately begin to innovate. There are numerous additional possibilities for tailoring combinations of attributes to meet unique generation and company size segment preferences that offer innovative opportunities. In particular, younger generation business owners from the two larger business sizes are the most interested in innovations for insurance and therefore more likely to consider new products and competitors. Many of the new competitors are using different combinations of the 30 attributes we assessed as building blocks to innovate their products and business models. We tested SMB reactions to some of these new business model concepts launched in the market the last several years. The results highlight strong interest in these new business models, particularly among the younger generations and larger SMB segments. Initial reactions to the business models generally showed positive ratings of 50% or higher. But when adding the neutral “swing groups,” interest significantly rose to more than 80%. This suggests a strong openness to consider these new models. The next question is, will they purchase? The answer is, “Yes, they will.” Gen Z and Millennials, in particular, indicate positive “likelihood to purchase” ratings of 50%.  But, when adding the “swing groups,” purchase potential jumps to 70%-90% across most of the segments, emphasizing how rapidly swing groups will likely shift the market. While these new models’ long-term viability is yet to be determined, the growing interest and likelihood to purchase suggests they have significant potential to capture the market opportunity, particularly the next generation of SMB business owners. Generational Transition of Leadership … It’s a Matter of Time and Experience SMB’s market potential is significant: U.S. Census data show that those with fewer than 10 employees represent nearly 80% of all businesses in the U.S. And while distribution economics dictate that the optimal way to reach them is through digital channels, with direct-to-business models via self-service, the research results indicate a “one size fits all” approach will not work. Two powerful forces are compelling insurers to make the transition to meet the needs of this important market: time and experience. First, it’s just a matter of time before traditional operating models will no longer work based on a combination of new factors. By 2020, more than 60% of small businesses in the U.S. will be owned by millennials and Gen Xers — two groups that greatly prefer digital engagement. The 2016 Upwork and the Freelancers Union’s annual survey, Freelancing in America, estimated that 35% of the U.S. workforce is made up of freelancers and independent contractors, the basis of the new gig economy. Furthermore, globally, millennials appear to be more active in the startup space. Dubbed “millennipreneurs,” they are starting more companies per person, managing bigger staffs and targeting higher profits than their baby boomer predecessors did. And finally, a 2016 survey of U.S. young adults 15-32 years old, Gen Z and millennials, showed that 55% expressed interest in starting their own business or non-profit someday. Second, it’s about experience. Digital experience. As the transition of SMB businesses from the baby boomers and Gen X to the next generation of Gen Z and millennials continues to accelerate, digital experience matters more and more. The older generations have extensive experience with Insurance 1.0, but despite their increasing use of new trends and technologies, they lag in digital experience and comfort in embracing Digital Insurance 2.0. In contrast, Gen Z and millennial SMB owners are overwhelmingly embracing and expecting Digital Insurance 2.0 models. The question is … are you ready? Bridging the Business Gap of Insurance 1.0 to Digital Insurance 2.0 to Take Care of SMB Business While Insurance 1.0 preferences are firmly in place with the smallest businesses and older-generation business owners, insurance companies must rapidly adapt and innovate to retain them as the businesses move to a younger generation of leaders. Adding fuel to the shift, the growth in the gig economy and SMBs’ rising Digital Insurance 2.0 preferences are creating a significant business gap in products and business models that insurers need to bridge, rapidly. How to proceed? Insurers can use these findings to strategize, prioritize and develop unique business plans to capture these diverse SMB market segments. With the pronounced differences in patterns across generations and business sizes, different market and product strategies are necessary. To facilitate this thinking, we developed SMB segment playbooks that highlight the attributes (the “ingredients”) that constitute the “ideal” insurance offerings (“the innovations”) for each segment (the “recipe model”).  But regardless of segment, insurers must rapidly move to a new generation of digital insurance platforms that personalize and maximize the customer journey with deeper engagement, enable process digitization, use digital data-driven insights, adapt to rapid market changes or opportunities and enable rapid rollout of new products and capabilities … a Digital Insurance 2.0 platform. See also: Secret Sauce for New Business Models?   It is a new age of insurance — a digital age.  And it’s all about taking care of business … small-medium businesses. For those willing to bridge the business gap from Insurance 1.0 to Digital Insurance 2.0 … join the chorus with the new generation of SMB customers! And we be taking care of business (every day) Taking care of business (every way) We’ve been taking care of business (it’s all mine) Taking care of business and working overtime.

Denise Garth

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Denise Garth

Denise Garth is senior vice president, strategic marketing, responsible for leading marketing, industry relations and innovation in support of Majesco's client-centric strategy.

Healthcare Data: The Art and the Science

There is a basic framework required for a data quality initiative, plus some lesser-understood processes that need to be in place to succeed.

Medicine is often considered part science and part art. There is a huge amount of content to master, but there is an equal amount of technique regarding diagnosis and delivery of service. To optimally succeed, care providers need to master both components. The same can be said for the problem of processing healthcare data in bulk. In spite of the existence of many standards and protocols regarding healthcare data, the problem of translating and consolidating data across many sources of information in a reliable and repeatable way is a tremendous challenge. At the heart of this challenge is recognizing when quality has been compromised. The successful implementation of a data quality program within an organization, similar to medicine, also combines a science with an art form. Here, we will run through the basic framework that is essential to data quality initiative and then provide some of the lesser-understood processes that need to be in place in order to succeed. The science of implementing a data quality program is relatively straightforward. There is field-level validation, which ensures that strings, dates, numbers and lists of valid values are in good form. There is cross-field validation and cross-record validation, which checks the integrity of the expected relationships to be found within the data. There is also profiling, which considers historical changes in the distribution and volume of data and determines significance. Establishing a framework to embed this level of quality checks and associated reporting is a major effort, but it is also clearly an essential part of any successful implementation involving healthcare data. Data profiling and historical trending are also essential tools in the science of data-quality management. As we go further down the path of conforming and translating our healthcare data, there are inferences to be made. There is provider and member matching based on algorithms, categorizations and mappings that are logic-based, and then there are the actual analytical results and insights generated from the data for application consumption. See also: Big Data? How About Quality Data?   Whether your downstream application is analytical, workflow, audit, outreach-based or something else, you will want to profile and perform historical trending of the final result of your load processes. There are so many data dependencies between and among fields and data sets that it is nearly impossible for you to anticipate them all. A small change in the relationship between, say, the place of service and the specialty of the service provider can alter your end-state results in surprising and unexpected ways. This is the science of data-quality management. It is quite difficult to establish full coverage – nearly impossible - and that is where "art" comes into play. If we do a good job and implement a solid framework and reporting around data quality, we immediately find that there is too much information. We are flooded with endless sets of exceptions and variations. The imperative of all of this activity is to answer the question, “Are our results valid?” Odd as it may seem, there is some likelihood that key teams or resident SMEs will decide not to use all that exception data because it is hard to find the relevant exceptions from the irrelevant. This is a more common outcome than one might think. How do we figure out which checks are the important ones? Simple cases are easy to understand. If the system doesn’t do outbound calls, then maybe phone number validation is not very important. If there is no e-mail generation or letter generation, maybe these data components are not so critical. In many organizations, the final quality verification is done by inspection, reviewing reports and UI screens. Inspecting the final product is not a bad thing and is prudent in most environments, but clearly, unless there is some automated validation of the overall results, such organizations are bound to learn of their data problems from their customers. This is not quite the outcome we want. The point is that many data-quality implementations are centered primarily on the data as it comes in, and less on the outcomes produced. Back to the science. The overall intake process can be broken down into three phases: staging, model generation and insight generation. We can think of our data-quality analysis as post-processes to these three phases. Post-staging, we look at the domain (field)-level quality; post-model generation, we look at relationships, key generation, new and orphaned entities. Post-insight generation, we check our results to see if they are correct, consistent and in line with prior historical results. If the ingestion process takes many hours, days or weeks, we will not want to wait until the entire process has completed to find out that results don’t look good. The cost of re-running processes is a major consideration. Missing a deadline due to the need to re-run is a major setback. The art of data quality management is figuring out how separate the noise from the essential information. Instead of showing all test results from all of the validations, we need to learn how to minimize the set of tests made while maximizing the chances of seeing meaningful anomalies. Just as an effective physician would not subject patients to countless tests that may or may not be relevant to a particular condition, an effective data-quality program should not present endless test results that may or may not be relevant to the critical question regarding new data introduced to the system. Is it good enough to continue, or is there a problem? We need to construct a minimum number of views into the data that represents a critical set and is a determinant of data quality. This minimum reporting set is not static, but changes as the product changes. The key is to focus on insights, results and, generally, the outputs of your system. The critical function of your system determines the critical set. Validation should be based on the configuration of your customer. Data that is received and processed but not actively used should not be validated along with data that is used. There is also a need for customer-specific validation in many cases. You will want controls by product and by customer. The mechanics of adding new validation checks should be easy and the framework should scale to accommodate large numbers of validations. The priority of each verification should be considered carefully. Too many critical checks and you miss clues that are buried in data. Too few and you miss clues because they don’t stand out. See also: 4 Ways to Keep Data Quality High   Profiling your own validation data is also a key. You should know, historically, how many of each type of errors you typically encounter and flag statistically significant variation just as you would when you detect variations in essential data elements and entities.  Architecture is important. You will want the ability to profile and report anything that implies it is developed in a common way that is centralized rather than having different approaches to different areas you want to profile. Embedding critical validations as early in the ingestion process as possible is essential. It is often possible to provide validations that emulate downstream processing. The quality team should have incentives to pursue these types of checks on a continuing basis. They are not obvious and are never complete, but are part of any healthy data-quality initiative. A continuous improvement program should be in place to monitor and tune the overall process. Unless the system is static, codes change, dependencies change and data inputs change. There will be challenges, and with every exposed gap found late in the process there is an opportunity to improve. This post had glossed over a large amount of material, and I have oversimplified much to convey some of the not-so-obvious learnings of the craft. Quality is a big topic, and organizations should treat it as such. Getting true value is indeed an art as it is easy to invest and not get the intended return. This is not a project with a beginning and an end but a continuing process. Just as with the practice of medicine, there is a lot to learn in terms of the science of constructing the proper machinery, but there is an art to establishing active policies and priorities that effectively deliver successfully.

Ben Steverman

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Ben Steverman

Ben Steverman is the chief technology officer at SCIO Health Analytics. He has been a leader in software development and architecture for more than 30 years and brings breadth and depth of experience designing large-scale server architectures.

Global Risks in 2018: What Lies Ahead?

The environment has become a major issue, and global risks are now highly interdependent, creating the prospect of cascading problems.

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What are the biggest risks that individuals, businesses and governments face in the year ahead, and beyond? According to the 2018 Global Risks Report, published by the World Economic Forum, the environment, cyber security and geopolitics are the areas drawing the most concern. The World Economic Forum — which just held its annual meeting in Davos, Switzerland — develops the Global Risks Report in collaboration with Wharton’s Risk Management and Decision Processes Center. “The big message that came out of this report is the tremendous importance of the environment” as an area to watch, said Howard Kunreuther, Wharton professor of operations, information and decisions, and co-director of the Risk Management and Decision Processes Center. “It’s not that that wasn’t [a concern] earlier, but it certainly didn’t have as high a profile.” The other big takeaway from this year’s report is how various types of risks are interdependent, which has implications for preparation and mitigation, Kunreuther said. “You begin to see clear arrows that go from climate change to food security, to natural disasters, to droughts and to a set of things that can happen.” To be sure, cyber security, data fraud and theft don’t necessarily link immediately to something like natural disasters. But if one of those events leads to some larger, overall instability, the outcomes could be worse than expected. “[Risk interdepenency] is a critical aspect that risk managers need to think about on a global scale. One thing can lead to other things and have a cascading effect,” said Jeffrey Czajkowski, managing director of the Risk Management and Decision Processes Center. “It’s critical for people to get their heads around it and start to think about how to better manage these risks.” See also: Global Trend Map No. 7: Internet of Things   The report looks at 30 different risks among five major categories – economic, environmental, geopolitical, social and technological. It draws on surveys of risk experts across the globe. ‘Pushing Our Planet to the Brink’ Heading the list of the risks in 2018 are environmental, cyber security and geopolitical risks. “We have been pushing our planet to the brink, and the damage is becoming increasingly clear,” the report states. “Biodiversity is being lost at mass-extinction rates, agricultural systems are under strain and pollution of the air and sea has become an increasingly pressing threat to human health.” On cyber security, the report says, “Attacks against businesses have almost doubled in five years, and incidents that would once have been considered extraordinary are becoming more and more commonplace.” On the geopolitical front, “rules-based approaches have been fraying,” the report says. “Re-establishing the state as the primary locus of power and legitimacy has become an increasingly attractive strategy for many countries, but one that leaves many smaller states squeezed as the geopolitical sands shift.” This year’s report introduces three new sections — Future Shocks, Hindsight and Risk Reassessment — in an attempt to provide “a new lens through which to view the increasingly complex world of global risks.” The Hindsight section, for example, revisits past reports “to gauge risk-mitigation efforts and highlight lingering risks that might warrant increased attention.” The 2017 Global Risks Report listed “economic inequality, societal polarization and intensifying environmental dangers” as the top three trends that will shape global developments over the next decade. Among the greatest risks that the report focuses on are geopolitical ones such as tensions between North Korea and South Korea, Kunreuther said. The World Economic Forum brings world leaders to the table where such issues could be discussed, he added. “We want to take down a lot of the blinders here and make sure the agendas are such that we can think out of the box.” Cjazkowski pointed out that this year’s report also highlights the need to invest in resiliency. “There’s a big push to make communities, nations and individuals more resilient to a lot of these different risks. But the big question is: How do you pay for that? Where are you going to get the financing to [promote] resiliency?” The report is taking a first step in trying to understand those issues, he said. ‘It Won’t Happen to Me’ Bias plays a big role in how potential risks are evaluated, and the report focuses on that aspect, as well. ”You need to take a long-term view of a lot of these risks and how you’re going to deal with them,” Czajkowski said. “Oftentimes, people, organizations or governments have problems thinking with a long-term view because of short-term incentives or the short-term decisions they’re dealing with.” “It tends [to be the case] that only after an event happens do people pay attention,” Kunreuther said, adding that the report identifies this problem as “availability bias.” “[The report] is suggesting that organizations and individuals pay better attention beforehand. We can’t think of a more important message to highlight.” For example, he says, people may hear that there is a one in 100 chance that a major hurricane may strike their area in a given year. That may seem like a low probability to many. But, “if you’re living in the same house for 25 years, there’s a greater than one in five chance of having something like this happen.” Kunreuther explained how such messaging could lead to some planning. “Can you take steps when you don’t think [a disaster] is going to happen?” he asked. “The issue of black swans gets brought up all the time – ‘It’s such a low probability event that we’re not going to think about it.’” See also: Global Trend Map No. 1: Industry Challenges   Cjazkowski offered an example of how such biases play out. The Risk Center typically classifies natural disasters as “low-probability, high-impact events” for an individual or a community. But on a global scale, such incidents become a high probability, he noted. “It is going to happen — but where that’s going to be is a different question. That is where this cognitive bias comes into play.” Kunreuther highlighted the critical role of local officials in taking the longer-term view. “The Global Risks Report is really trying to overcome the ‘NIMTOF’ acronym – “Not in my term of office,” he said. “[We need] to get people to think there’s a longer term than just getting reelected, and that they have to think about putting money into [areas like] infrastructure.” You can find the article originally published here.

Howard Kunreuther

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Howard Kunreuther

Howard C. Kunreuther is professor of decision sciences and business and public policy at the Wharton School, and co-director of the Wharton Risk Management and Decision Processes Center.