Insurance

Analytics
Andrew Pollard 0
The Deliveroo Effect on Insurance

Customer acquisition and retention primarily fall on sales and marketing teams. But every department within an insurance company has a role to play in these activities. Claims handling is a great example. Any insurer's performance at this emotionally charged time is their litmus test. It can determine whether customers renew

Artificial Intelligence | Data for Good
Thomas Keil 0
Kalkulierbare Naturkatastrophen: „Mit analytisch gestützter Risikoberechnung können wir den Insurance Gap schließen.“

Fast 200 Todesopfer (davon 134 allein im Ahrtal), 33 Milliarden Euro an Sachschäden – das Hochwasser im Ahrtal 2021 war die teuerste Naturkatastrophe der europäischen Geschichte. Und weniger als ein Viertel der betroffenen Assets war versichert. Wer die Risiken von Überschwemmungen und anderen Naturereignissen früher erkennen und präziser einschätzen will,

Artificial Intelligence | Risk Management
Colin Bristow 0
How can technology help insurers with the fight against money laundering?

Money laundering is a growing threat within the insurance industry. The regulatory framework within banking is adding stronger controls and governance processes which will encourage launderers to seek alternative areas to launder funds. While insurance presents a different type of Anti-Money Laundering (AML) risk, the risks still exist. Long considered

Advanced Analytics | Artificial Intelligence | Machine Learning
Isidoro García 0
Cuatro claves para el futuro del sector Seguros

En los últimos años estamos asistiendo a una profunda transformación del sector Seguros, impulsada fundamentalmente por la tecnología. Gracias a ella, las organizaciones ya disponen de información de gran valor que les permite adoptar un enfoque mucho más centrado en el cliente e incluso anticiparse a sus necesidades.  Pero para

Advanced Analytics | Fraud & Security Intelligence
Aline Riquetti 0
Análise de redes de relacionamento aplicada à prevenção às fraudes e outros crimes financeiros

“Diga-me com quem andas e te direi quem és” é um provérbio popular vastamente conhecido e um consenso entre várias pessoas. Porém, será que essa máxima é verdadeira em todas as situações? Se assim o for, como poderíamos empregar essa relação nas atividades de prevenção a fraude e outros crimes

Customer Intelligence
Marta Prus-Wojciuk 0
The transformation of customer relationships in the insurance industry

The relationship between insurance companies and their clients has always been tricky due to several factors. But just like any other sector today, insurance organizations are transforming with digital technologies – and these solutions are customer-centric. What’s in store for customer relationships in the insurance industry? Keep on reading to

Fraud & Security Intelligence
Zbigniew Skaliński 0
Praktyczne wykorzystanie analizy sieci społecznej (SNA) w analizie śledczej

Skąd się wzięła i czym jest analiza śledcza, zwana także analizą kryminalną? Potrzeba stworzenia takiego narzędzia zaistniała w końcu lat 60-ch w USA i została wyartykułowana przez organy ścigania. Była ona spowodowana rozwojem przestępczości zorganizowanej, dużą liczebnością i skomplikowaną strukturą grup przestępczych oraz transgranicznym charakterem przestępstw, w czym przodowała włoska

Analytics | Artificial Intelligence | Fraud & Security Intelligence
Adrian Niga 0
Anti-money laundering measures need to go beyond banks

When considering anti-money laundering operations, it’s not unreasonable that most people would probably think first of banks and other financial institutions. These organizations are probably the most obvious place to deposit large sums of money, including those obtained from criminal activities. And are therefore the most important first line of

Machine Learning
Oliver Sheerin 0
Part 1: Marketing analytics is broken. Could intelligent automation fix it?

"According to Gartner, “over 50% of senior marketing leaders are unimpressed with the results they receive from marketing analytics investments” – yet most companies expect to increase these investments over the next few years. How can we avoid throwing good money after bad?" By Oliver Sheerin, Senior Customer Intelligence Advisor, SAS. When

Advanced Analytics | Analytics
Luiz Malere 0
A hora e a vez dos cientistas de dados

Uma das profissões mais cobiçadas e bem remuneradas atualmente é a de Cientista de Dados. Grandes empresas de telecomunicações, instituições financeiras e redes de varejo estão formando times com estes profissionais, e o movimento não é restrito às grandes corporações. Empresas médias também estão sedentas em busca de cientista de

Advanced Analytics | Customer Intelligence | Machine Learning | Risk Management
Waldemar Razik 0
Actuarial Transformation and Execution at Speed guarantee Competitive Pricing in Insurance

Actuarial practice has always been analytical—so how much is advanced analytics disrupting this element of insurance? We discussed this issue in a recent #SASchat. The importance of competitive pricing Analytics is now being used in more and more areas in insurance, and particularly to tailor pricing more precisely to customers’

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