Challenging The Status Quo: How Banks Can Win In The PSD2 World

In less than six months, the second Payment Services Directive (PSD2) will have been implemented into law in all European Union member states. The Directive is a landmark moment in banking, introducing competition to the payments market and overturning the status quo. In the PSD2 world, banks will not only compete with each other, but…

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Are You Making these 7 Mistakes When Deploying Your Models?

I am always excited to see more organizations wanting to use analytical models at the center of their business processes. Like most things in life, the road to success is not straight; sometimes there are a few road bumps to navigate. The same is true for integrating models into the production environment. For instance, even…

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How Insurers Can Better Understand Multi-Product Customer Behavior – Machine Learning Can Help

It’s all about the data. That’s the message I kept hearing at the CAS Ratemaking and Project Management conference in San Diego this spring. The message was so strong, that I was asked to present my seminar, “Multi-Product Optimization: Challenges and Opportunities” not once, but twice along with LaCapitale’s Bruno Tremblay at the annual conference.…

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Is Machine Learning a Threat to the Actuarial Profession?

Man vs. Machine: 10 years ago, I would never have guessed that I would be writing about this topic with such serious concern. Yet, some people are predicting that machine learning technology will produce a jobless future for certain professions, including actuaries. And with news headlines like “Google’s AlphaGo AI beats Lee Sedol again to…

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Conversion & Retention Modeling Done Right: The Four Keys to Success

These days, many industries are spending millions of dollars in research to achieve their customer-centric goals. The insurance industry is no different. Insurers are continually raising the analytical bar to gain a better understanding of their customers. Being able to accurately predict consumer behavior is the key to being a step ahead of the competition.…

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A Solid Analytical Solution: Analytical Sophistication

For financial services organizations as well as insurers, analytical sophistication continues to increase in importance as margins continue to shrink. With minimal margins on the majority of products and services, extracting insight from data using analytics is crucial to meeting company objectives. In this third post of a three-part series, we will look at what…

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Xperts Hackathon Gives Hands-on Insight into the Future of Pricing Analytics

Agility and an understanding of the business environment has helped a team from the UK to win the first Xperts Analytics Hackathon, held in London. The Hackathon brought together teams of insurance data analysts from across Europe to compete in a real-world insurance simulation contest. Throughout the game, the winners kept a well-adjusted portfolio that…

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CBA LIVE 2017: A Time to Transform

Banks and Financial Services companies are thinking BIG – around how to transform to meet the needs of the new digital consumers that exist in the shared economy of today. These digital consumers span five generations, each expecting to be communicated to in slightly different ways. In order for financial services companies to meet expectations…

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How to Transform Your Models into a Fully-integrated Analytics System

More than ever before, financial service organizations are using analytical models to power their core business processes. Ever-higher customer expectations together with new market players are some of the drivers that are responsible for accelerating the pace of change in the market. This calls for business decision makers to react quickly if they are to…

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On the Breakfast Menu: AI and Prescriptive Analytics in Financial Services

In early March, Earnix hosted an executive breakfast in New York for consumer banking executives who work with analytics related to offer management and pricing. Two speakers presented their views on the state of analytics in financial services. One provided a long-term vision of using Artificial Intelligence (AI), and the other, offered down-to-earth practices of…

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