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Advanced Analytics | Analytics | Artificial Intelligence
Thorsten Hein 0
Navigating what keeps insurance executives awake at night

Insurers, chief financial officers (CFOs) and actuaries will face overwhelming changes and challenges in the year ahead. These include compliance with new regulatory and solvency standards, pricing insurance premiums in line with inflation and other economic factors, addressing climate risk and ESG concerns, and adapting to new technologies. The impact

Analytics
Rick Wicklin 0
Means and medians of subgroups

A journal article listed the mean, median, and size for subgroups of the data, but did not report the overall mean or median. A SAS programmer wondered what, if any, inferences could be made about the overall mean and median for the data. The answer is that you can calculate

Advanced Analytics | Analytics | Speed and Agility
Udo Sglavo 0
From surviving to thriving: The importance of speed and agility in resilient businesses

In 2023, businesses recognize the need to be resilient. With the global disruptions we’ve faced over the last few years, and continuing disruptions and instabilities, the need for organizational resilience has never been clearer. By building resiliency, organizations can adapt to changing circumstances, maintain stability and minimize damage from unexpected events.

Advanced Analytics | Data for Good | Machine Learning
Cristina Pérez 0
Analítica de textos e IA para identificar patrones de trata de seres humanos en la documentación policial

La información que los organismos policiales almacenan sobre detenciones o incidentes delictivos, así como los avisos a los departamentos de policía, tienen un valor enorme para resolver futuros casos que se pueden plantear. Analizar manualmente esta gran cantidad de datos en busca de patrones puede llevar mucho tiempo y sus

Analytics | Learn SAS
Rick Wicklin 0
Why use rank correlation?

A previous article discusses rank correlation and lists some advantages of using rank correlation. However, the article does not show examples where an analyst might prefer to report the rank correlation instead of the traditional Pearson product-moment correlation. This article provides three examples where the rank correlation is a better

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