The perfect storm of challenges facing insurers is well-known to anyone working in the industry today. Some have been bubbling away for years – such as the competition from insurtech companies and non-insurance firms like manufacturers, the rising cost of claims, and internal inefficiencies. As the tough economic climate continues
Insurance
Tal y como comentamos durante el evento realizado con Expansión y McKinsey en nuestras oficinas, en el contexto de incertidumbre actual, las aseguradoras han tenido que subirse al tren de la digitalización para seguir creciendo. La crisis del COVID como acelerador de la digitalización en el sector seguros En un
Es indudable que los hábitos de comportamiento han cambiado, nos cuidamos más física y mentalmente, cuidamos lo que comemos y lo que bebemos y esto lo vemos en nuestro día a día. Los dulces en la oficina cada vez duran más, septiembre ha llenado el gimnasio como ningún año y
Los acontecimientos de los últimos años han cambiado radicalmente el panorama en el que se desenvuelven las empresas aseguradoras. La pandemia, las amenazas de una recesión económica, la inestabilidad de las cadenas de suministro, e incluso el conflicto entre Rusia y Ucrania han movido todas las piezas y acelerado la
In the competitive and highly regulated insurance industry, it’s easy to see why firms are hungry to unlock the value of their data. From tackling claims inflation and fraud to developing innovative new products and pricing strategies, they know that being able to make sense of this data quickly is
My recommendations for action for all those who want to sharpen their target picture now Digitisation in the insurance industry continues to advance. Although every insurance company is moving at its own pace, there is a lot happening in the specialist areas: In marketing, projects around the customer journey are
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
It’s hard to get through a day in analytics now without hearing the words interpretability and explainability. These terms have become important in a world where machine learning and artificial intelligence (AI) models are becoming more ubiquitous. However, what do the two terms mean—and more importantly, why do they matter?
Anyone in the insurance industry knows that fraudsters are becoming more sophisticated and their crimes more difficult to identify. Insurance fraud in the UK costs an estimated £3 billion per year – but only around a third of that is detected. Whilst opportunistic fraud poses a problem to the industry and
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,
Las compañías de seguros de todas las regiones coinciden en que el International Finance Reporting Standard 17 (IFRS 17) va a provocar cambios radicales en la manera en que han operado y generado reportes financieros por décadas. Ya que el estándar busca elevar la transparencia financiera del sector, cada aseguradora
Insurers are bracing for serious change as customer journeys continue to transform. IDC FutureScape predicts that by 2024, 50 percent of all policies of non-life and life insurers will be sold through a fully automated personalized insurance engine and client-guided customer journeys, creating stronger brand loyalty. A progressively more complex
Según la Asociación de Certificadores de Fraude, el tiempo promedio que toma descubrir un fraude es de 18 meses. Hay casos en los que nunca se detectan los fraudes porque no se tienen los sistemas o soluciones para ello. Esta asociación, que es la mayor fuente de información y análisis
La tecnología o la experiencia de cliente son algunos de los factores que más peso están adquiriendo en la evolución que vive el sector Seguros. Así, en los últimos años estamos observando un interés cada vez mayor en la ciencia de datos y aplicaciones de machine learning de las compañías
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
En el sector Seguros el precio es fundamental. Se trata de un tipo de productos que los clientes saben que es necesario contratar, pero esperan no tener que usarlos nunca, por lo que, en teoría y tradicionalmente, quieren pagar por ellos lo menos posible. Por su parte, las compañías de
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
“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
Mergers and acquisitions are difficult to pull off, but they can impress when the right strategy is applied. And analyzing your data almost always helps with the right strategy. In the first eight months of 2021, publicly announced M&A activities were valued at more than $3.6 trillion globally and $1.8
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
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
Estamos acostumbrados a hablar de la aplicación de la analítica avanzada a distintos procesos o funciones dentro de la empresa. Sin embargo, no es tan habitual hablar de los beneficios que su uso tiene en un ámbito como la fiscalidad. Y es que, al igual que en otras áreas, la
The pandemic has definitely left its mark on the scale of the fraud we’re witnessing in the insurance industry. The key reason behind this is the economic recession. Whenever we observed a decline in a country’s GDP, an increase in fraud rates followed. When GDP fell by an average of
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
See how analytics fights back against ever-changing fraud trends.
The process changes that are taking place in the insurance world are massive. More and more insurance companies allow for remote sales of life products and entire sales processes have been simplified for the benefit of the customer. However, opportunities for abuse arose with them as well. A simpler process
"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
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
By Adam Goldsmith, Insurance Specialist, SAS UK & Ireland Insurers have the near-impossible task of keeping customers satisfied with the service they're given whilst ensuring costs are controlled to ensure profitability. At the point a customer makes a claim, it is at a point of high stress and emotion, but