Workload Automation for Banks and Insurances

Embrace new regulations to leverage solutions to automate and scale

Why is workload automation that important?

New financial regulations for risk management in the banking and insurance industry, such as Solvency II or Basel III create new needs for these companies. In this context, advanced workload management brings and innovative solution to leverage current datacenters and provide health checks for companies.

In the past few years, governments and institutions have increased the pressure on financial institutions such as banks and insurance companies regarding their resilience to catastrophes. These new requirements include new types of calculations run on companies’ portfolios, and raise additional questions, like: how to perform these analyses efficiently in current data centers, how to handle private data securely, and how to source information from multiple systems. An advanced workload manager turns out to be the ideal answer where resources are efficiently used, errors are handled most efficiently, and pools of data can be accessed securely.

Although this solution adds complexity to infrastructure management, it also optimizes resources, unveils new insights into data and increases profitability. New questions are then raised, like: where to launch a job, how to setup advanced policies for resource management, how to manage multiple jobs running in parallel, and how to have a full transparent audit trail. This paper aims to explore the technical, operational, economic, and portability challenges around workload management that a bank or insurance company has to address when considering a workload manager to efficiently use its computational resources.

To learn more, download our whitepaper below.

Whitepaper on Workload Automation
for the banking and insurance industry