Insurance Predictive Analytics Risk Testing 
Decision Management Solutions
APRIL 23, 2019
In February, we published a blog post on “Using Technology to Add Value in Insurance”. In that post, I referenced Matt Josefowticz’s article – Technology May be the Answer for Insurers, but What Was the Question? , Let’s dive into greater detail on the second lever – Manage Risk Better.
Cloudera
SEPTEMBER 7, 2023
With AI, financial institutions and insurance companies now have the ability to automate or augment complex decision-making processes, deliver highly personalized client experiences, create individualized customer education materials, and match the appropriate financial and investment products to each customer’s needs.
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datapine
OCTOBER 21, 2020
By utilizing key performance indicators in healthcare and healthcare data analytics, prevention is better than cure, and managing to draw a comprehensive picture of a patient will let insurance provide a tailored package. If you put on too many workers, you run the risk of having unnecessary labor costs add up.
Decision Management Solutions
APRIL 15, 2019
In February, we published a blog post on “Using Technology to Add Value in Insurance.” In that post, I referenced Matt Josefowticz’s recent article – Technology May be the Answer for Insurers, but What Was the Question? , in which he argues that there are only three levers of value in insurance: 1. Sell More.
Birst BI
OCTOBER 30, 2018
A personal crystal ball that predicts your days ahead is what financial services firms everywhere want. Every day, these companies pose questions such as: Will this new client provide a good return on investment, relative to the potential risk? Is this existing client a termination risk? Will this next trade return a profit?
Decision Management Solutions
MARCH 25, 2019
Nancy Casbarro and Deb Zawisa of Novarico recently published a new paper on Data Science in Insurance: Expansion and Key Issues subscription required) that was summarized in this nice little article on Dig-in 3 challenges facing insurers in data science implementation. 1 – Getting business buy-in. 2 – Attracting talent.
CIO Business Intelligence
JUNE 7, 2022
Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance. Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes.
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