Case Study

More data, more users, faster turnarounds – how the Siemens-Betriebskrankenkasse is changing to a data-driven business

The Siemens-Betriebskrankenkasse (SBK) is Germany’s largest company statutory health care insurers and also one of the country’s 20 largest. It’s open to Siemens employees and others Germany-wide – 1500 employees look after over a million people and a further 100,000 business customers in 94 branches.

The SBK combines a customer-focused approach with the best of personal and digital health care while also actively driving the digitalization of health care in general. You need substantial data that’s always accessible to create customer-specific offers, answer service queries or issue patient receipts.

Thanks to our data analytics platform, SBK now works with state-of-the-art data analytics delivering fast, stable and customer-centric data.


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New and faster data analyses should improve internal processes. This saves money and lets our advisers present innovative offers to customers.

Joachim Zaspel / Technical architect data and digitalization management at SBK
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ETL Tool

The Challenge

  • Growing data volumes – processing the vast amounts was difficult and departments were unable to work with and use up-to-date data
  • Complex querying
  • Increased stability and performance issues
  • New solution to be compatible with existing InformationBuilders’ extract, transform, load (ETL) tool DataMigrator and the business intelligence frontend QlikView

The solution

  • A new data analytics platform that’s fast, reliable and highly scalable, able to process large data volumes efficiently and with low administration requirements
  • Two successful proofs of concepts (POCs) confirmed that Exasol is the right and future-proof option
  • 2000 data processes were migrated to Exasol as the new central data warehouse with currently 5+1 clusters

The Benefits

For the Siemens-Betriebskrankenkasse (SBK, statutory health care insurer):

  • The data analytics platform is very robust, of a high quality and scalable – processes are stable and complete quickly
  • New, complex data sources can be integrated easily
  • No need for internal workarounds due to good scalability
  • Low maintenance needs
  • High level of self-service realized

For SBK customers

  • Automated data processes relieve the pressure on employees. Advisers spend more time with customers now, especially when it comes to solving more complex cases and queries.
  • Clear overview of the scope of supply for each insured person with all data consolidated in the data analytics platform. Advisers are able to tailor service offers individually and discuss them with the customer.


Exasol – the analytics database