The Earnix Blog

The Earnix Blog is a community blog for financial industry professionals that share a passion for predictive analytics

TechnicalAnalyticsBusiness
04
January

Customer Experience and Machine Learning: Practical Applications

The notion of using analytics to improve customer experience has changed the landscape and thought process of businesses over the past several years. As machine learning becomes further democratized, or more pervasively available, it is making its way into many enterprise softwareRead More »
28
September

Telematics: Transforming the Old World of Insurance Underwriting with New Data

A data-connected automobile generates some 25 gigabytes of data every hour. That’s equal to about a dozen HD movies and more than the storage capacity of most smartphones. We know what the car is telling the network–everything from route, speed and evenRead More »
20
September

Personalized Customer Analytics: The Key to the Future

As the Chief Analytics Officer for Earnix, a Tel Aviv-based provider of advanced analytics solutions for the financial services industry, I am focused on how financial services companies can use data and analytics to figure out what their customers really want andRead More »
31
August

Off-line vs Real-Time Analytics: Where is the Industry Heading?

Financial institutions are demanding real-time analytics at their point of customer interactions. For years, we have been advising our clients to connect their front-end customer facing systems with real-time pricing analytical capabilities, or at least lay the foundations to enable this capabilityRead More »
29
June

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. TheRead More »
01
June

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.Read More »
30
May

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 predictRead More »
18
May

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.Read More »
25
April

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-worldRead More »
29
March

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.Read More »
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Machine Learning Survey 2017

This first-of-a-kind survey uncovers how insurance executives understand how the industry leverages Machine Learning today and how they expect Machine Learning to impact the industry in the near future.

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Open Banking: A Platform for Personalisation

Read the Earnix Open Banking report to learn how to prepare for the new open banking environment as well as see three Earnix open banking use cases.

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