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Stuart Rose
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Senior Product Marketing Manager

Stuart Rose is the Global Insurance Marketing Manager for SAS. He began his career as an actuary and now has more than 25 years of experience in the insurance industry working for companies in the US, Europe and South Africa. Stuart has written many insurance-related articles and is also the co-author of Executive’s Guide to Solvency II.

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How social brokers is changing insurance

“All for one and one for all” is best known as the motto from “The Three Musketeers”, but this phrase could easily sum up the growing trend in social brokers. With advanced analytical techniques like generalized linear modeling insurance companies have created more granular pricing structures. But despite the assertions

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Innovation in reinsurance – no longer an oxymoron

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. To combat these challenges, reinsurers are turning to technology for

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Back to basics

One of my colleagues often asks me “What’s new in insurance”. For an industry that is risk adverse, change does not come easily. In the past we have discussed innovations concerning telematics, drones, wearables devices and even weather data. However when he asked me last week and I responded that

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No expertise required…

How many of us have used the phrases… It’s a piece of cake Anyone can do it It’s as easy as ABC I could do it with my eyes shut When it comes to business intelligence it should be “easy peasy” but for many organization it can still be a

Data Management
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Big data – game changer for insurers.

A recent survey by Capgemini found that 78% of insurance executive interviewed cited big data analytics as the disruptive force that will have the biggest impact on the insurance industry. That’s the good news. The bad news is that unfortunately traditional data management strategies do not scale to effectively govern

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Risk and rewards for insurers

The role of insurance is to bring some predictability, manageability and stability in what is in essence, a chaotic and uncertain world. So as we head into 2016, what are the big issues for insurers in the next 12 months? Below is just a selection of some of these issues:

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Putting customers and analytics at the centre

Customer intelligence will help an insurance company deepen its customer insights, choreograph its customer interactions and continuously improve its marketing performance. Unfortunately for all the progress made in recent years on customer relationship management and getting to know customers better, insurance companies are still not focusing on customers as much

Data Management
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The final countdown… and beyond

It’s rather appropriate that the rock band Europe recorded the hit “The Final Countdown”, because today, September 22nd, represents 100 days until the much anticipated (and delayed) European insurance legislation Solvency II will come into effect on January 1st 2016. Designed to introduce a harmonized, EU-wide insurance regulation, Solvency II

Internet of Things
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Flipping the data equation

Big Data has become a technology buzzword. But how is Big Data changing insurance? Historically, insurance companies have used SMALL data to make BIG decisions. Today, insurers are using BIG data for SMALL decisions. What does this mean? Traditionally, insurance companies have aggregated data to group risks into broad categories

Analytics
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No more excuses.. Analytics IS a game changer

Good news...an analytics survey last year found that 72% of insurance executive agreed that analytics is the biggest game-changer in the next 2 years. Bad news...compared to other industries the adoption rates of analytics in the insurance has lagged other industries. To reverse this trend and help insurers travel down the

Analytics
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Help wanted

The insurance industry is heading for a crisis. Depending on which report you read the insurance industry is facing a shortfall in job vacancy from anything from 40,000 to nearly half million in the next few years. Baby boomers in specialized jobs like underwriters and claims adjusters are retiring and insurers

Analytics
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Customer experience conundrum

Who is your best customer?  The answer to this question can vary dramatically depending on your industry. A retailer’s best customer is someone who comes back to their store over and over again. A gym owner’s best customer could be considered consumer who pays their monthly on time but never

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Time is precious, so are your analytical models

The analytical lifecycle is iterative and interactive in nature. The process is not a one and done exercise, insurance companies need to continuously evaluate and manage its growing model portfolio. In the last of four articles on the analytical lifecycle, this blog will cover the model management process. Model management

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Putting predictive analytics to work.

Insurance relies on the ability to predict future claims or loss exposure based on historical information and experience. However, insurers face an uncertain future due to spiraling operational costs, escalating regulatory pressures, increasing competition and greater customer expectations. More than ever, insurance companies need to optimize their business processes. But

Analytics
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Demystifying analytics

There is no doubt that analytics is an overused and often abused term. So what does really analytics means? In part 2 of a series of articles on the analytical lifecycle, this blog will highlight some of the common and emerging techniques used to analyze data and build predictive models

Data Management
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Data is King

In my last blog I detailed the four primary steps within the analytical lifecycle. The first and most time consuming step is data preparation. Many consider the term “Big Data” overhyped, and certainly overused. But there is no doubt that the explosion of new data is turning the insurance business

Analytics
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The steps to using analytics…successfully

Advances in technology, evolution of the distribution channels, demographic shift, economic conditions and regulations changes. How does an insurer prioritize all these seemingly competing goals and create sustainable competitive advantage. One answer is analytics. Many insurance companies are just beginning to take steps toward becoming an “analytic insurer” – one

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Data governance - the new prodigal child

The old adage is that “Data is the lifeblood of the insurance industry.” However, for many insurance companies, data is like the red-headed stepchild. No one is willing to take care or have responsibility for it. In the past, insurance companies have created data governance programs, but these have often

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Insurance and the rise of the Chief Risk Officer

The role of insurance is to bring some predictability, manageability and stability to a chaotic and uncertain world.  In essence, it is a risk mitigation tool. The role of the Chief Risk Officer (CRO) is to manage the overall risk strategy for the insurance company. They are responsible for defining

Data Management
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Welcome to “data-driven decisions”

Business analytics is about dramatically improving the way an organization makes decisions, conducts business and successfully competes in the marketplace. At the heart of business analytics is data.  Historically, the philosophy of many insurers has been on collecting data, data and more data. However, even with all this data, many

Customer Intelligence
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Is the customer experience overrated?

According to analyst firms, consulting companies and various other research, customer experience is the primary priority for insurance companies.  But is customer experience overrated? Let’s start by considering the primary interactions between an insurance company and its customers: new business, billing, renewals and claims. Ask any insurance executive, especially property

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Can I Quote You on That? - 2014 in review

Earlier this year, I was speaking with an insurance executive and he said something that turned out to be my favorite quote of 2014: “Premium revenue is like heroin.” While this seems like an unlikely analogy  or simile?. The point this executive was trying to make an interesting argument.  Insurance

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Many Faces of Insurance Fraud

What do the following have in common? A homeowner inflates the value of his home entertainment equipment stolen during a robbery. A parent states they are the primary driver for their child’s car. A doctor charges for a non-existent procedure. A construction company underreports payroll or misclassifies an employee’s duties.

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