Press Release

Zorg en Zekerheid Selects Oracle Autonomous Data Warehouse for Fast, Secure Data Flows, and Powerful Analytics

Enables Leiden, Netherlands, health insurer to provide the best and affordable care for its customers based on rich data sets

Utrecht23 juni 2021
Zorg en Zekerheid
© Zorg en Zekerheid

Oracle has announced that Zorg en Zekerheid, one of the oldest health insurers in the Netherlands, has selected Oracle Autonomous Data Warehouse (ADW) to boost its data and analytics capabilities.

Available in Oracle Cloud Infrastructure (OCI) or in customer data centers, Oracle Autonomous Data Warehouse has transformed the business users’ self-service experience by eliminating the complexity of managing a data warehouse and, instead, to focus on data analysis and modelling with integrated machine learning.

This makes almost all manual tasks - which can cause human error - superfluous. In addition to optimum security, this provides the Leiden health insurer with maximum performance plus cost and time savings.

In 2019, Zorg en Zekerheid started developing a new Business Intelligence architecture to optimize its data flows. Data from Oracle Health Insurance Back Office (OHI-BO), the proven Oracle solution used by most health insurers in the Netherlands, was transferred via OHI Data Marts to a Microsoft environment. However, Zorg en Zekerheid recently evaluated and determined the Microsoft architecture and the data generated by that system did not add sufficient value across the different levels of use, propelling the move to OCI.

“At Zorg en Zekerheid, we work every day on good and affordable care for our policyholders,” says Henk Gerla, member of the Board of Directors at Zorg en Zekerheid. “Having a modern BI architecture—one that eliminates manual and complex tasks and can be relied on to get what we need quickly—is essential in this mission, and this is why Oracle Autonomous Data Warehouse, in combination with OHI Data Marts, is the perfect solution for us. We are now the first health insurer in the Netherlands to have this system, which provides us with rich data and unprecedented performance in a secure environment,” says Gerla.

The new way of working not only benefits the employees of Zorg en Zekerheid. “Together with healthcare professionals and municipalities, we can use the data to look specifically at the effect of new treatment methods and the possibilities for e-health and prevention activities. This helps to keep our premiums as low as possible. We can also develop new products based on trends around healthcare use, healthcare costs and health issues. In this way we can better help our policyholders become the healthiest version of themselves, and make this region the healthiest in the Netherlands,” Gerla concludes.

Oracle Autonomous Data Warehouse makes it easy to secure data by providing autonomous encryption of unused and active data (including backups and in-flight across network connections), protection of regulated data, automatic application of security patches, and rapid auditing and threat detection. In addition, customers can easily use Oracle Data Safe to perform ongoing security assessments, user and privilege analysis, sensitive data detection and protection, and activity monitoring. Autonomous Data Warehouse protects the organization and all data against data breaches, malware injections, DDoS attacks, malicious insiders, advanced persistent threats, insecure APIs, account hijacking and more. Autonomous Data Warehouse is available in OCI or in customer data centers on Oracle Exadata Cloud@Customer and Dedicated Region Cloud@Customer.

“Autonomous management enables customers to run a powerful, highly available and secure data warehouse while reducing administrative costs. We are delighted that with Zorg en Zekerheid we can once again assist a large Dutch health insurer in managing their data safely and quickly. This allows them to focus on what really matters to them; providing the best and affordable care for its customers,” adds Wilfred Scholman, Country Leader at Oracle Netherlands.

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