Reinsurance

The sustainability and scalability of data in Reinsurance - Eulidia

#Réduction in IT costs

#Cloud

Scientific #Calcul

#Ambition

Ambition
of the mission

The reinsurer's core business is based on the ability to model risks and determines the levels of coverage. To act as a specialist in natural disasters and non-insurable risks, our clients connected to heavy scientific algorithms, executed on a distributed computing architecture. Faced with an exponential growth in treatments and a scalability constraint, a diagnosis was launched to meet 3 challenges: sustainability, scalability and optimization of investments.

#Method

Our
approach

Think

Scientific calculation as a cornerstone of the reinsurer profession

Allowing the parallelization of the processing of several teams, guaranteeing instant scalability of the platform, simplifying operational tasks and contributing to the collective effort to reduce IT costs were the main drivers of choice.

Make

Federating Business Requirements and Technological Constraints

The study was structured around business and technical workshops to take into account the fact that a change in computing support goes beyond the simple technological subject. Among the scenarios for replacing the calculation grid, a hybrid on-premise/cloud option was selected, based on a gradual and realistic investment sequence.

Scale

Leveraging Agility and the Cloud Model

Offering significant elasticity and a “pay as you use” business model favorable to the context of our reinsurer, this system also has the advantage of freeing the client from the constraints of administering the platform and of strengthening IT in its ability to provide efficient and agile solutions to a strategic business.

#Benefits

Indicators
of success

Cost reduction Of the fixed calculation grid

Improving the ratio Cost/Power

Convergence IT and Business

#DataStories

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