Data-driven risk analyses for clear decision-making
ecanalytics combines actuarial expertise with modern data analysis. We make risks transparent, improve data quality, and provide an accurate foundation for informed decisions—for industries with complex requirements.
Actuarial science reimagined – data-driven, practical, future-proof
As the Ecclesia Group’s actuarial centre of excellence, ecanalytics assesses risks in areas where data is complex, bespoke and often non-standardised. We combine in-depth expertise from various industries and sectors with data-driven models. This is underpinned by our extensive in-house portfolios – particularly in hospital liability insurance and other areas of the healthcare and social sectors. Our team combines actuarial science, data science and modern methods to assess risks realistically, further develop products and make decisions more confident. In this way, we support clients in negotiating effectively, managing risks optimally and developing solutions based on reliable data.
Data quality: the key to better decisions
70 per cent of actuarial work involves data preparation: checking, structuring and understanding. That is why we systematically redesign data capture, exchange and analysis processes and develop code-based data processes in accordance with high quality and development standards. Through intelligent enrichment and AI-supported extraction from unstructured documents, we create robust, consistent data sets. This data quality is not only the foundation of our own analyses, but also a key service that we specifically integrate into the operational work of the Ecclesia Group – for more precise models, reliable risk assessments and better decisions, even in complex portfolios.
In-depth expertise, reliable models – for decisions that deliver
Our models are developed right where they are put to use: in close collaboration with specialist departments, underwriters and product developers. We analyse claims trends, assess aggregate risks, develop pricing structures and support product ideas with robust scenarios. Where data is lacking, we supplement it with expert estimates or external sources – for example, in the case of natural hazards or rare special risks. This results in models that remain realistic, flexible and technically compatible.
Darauf aufbauend integrieren wir datenbasierte und KI-gestützte Methoden direkt in Geschäfts- und Erfassungsprozesse. Dazu gehören Klassifikationsmodelle zur richtigen Zuordnung von Schadenfällen, automatisierte Dokumentenanalysen und Workflows, die Daten schon im Ursprung verbessern. Gleichzeitig überwachen wir Modelle fachlich, sichern Qualität und verhindern Bias-Effekte. So verbinden wir Automatisierung und Verantwortung – für Lösungen, die effizient sind und zugleich höchsten Standards entsprechen.
Data science as a driver of informed decision-making
We make targeted use of data science to gain a better understanding of risks and extract further insights from data. Using statistical methods and machine learning, we identify relevant factors, recognise patterns and uncover information that is often overlooked in traditional analyses – for example, from unstructured data or complex relationships.
ecanalytics bringt datengetriebene Methoden bewusst nah an die fachlichen Prozesse – dorthin, wo Produkte entstehen und Risiken bewertet werden. So verbinden wir Datenkompetenz mit einem tiefen Verständnis für die jeweiligen Anwendungsfelder. Dabei arbeiten Aktuariat und Data Science eng zusammen und greifen auf eine gemeinsame Datenbasis zurück. Das Ergebnis sind Analysen und Modelle, die nicht nur methodisch fundiert sind, sondern auch im operativen Einsatz bestehen und konkrete Mehrwerte schaffen.
