


medi Migrates Into the Cloud
Healthcare company moves from on-prem into the cloud
Initial Situation & Challenge
The health care company medi from Bayreuth decided to professionally expand its analytics department as part of its digitization roadmap. The set goals could not be achieved cost-effectively with the Microsoft BI architecture existent at the premises. medi therefore opted for the path to the cloud, relying on Azure technology in this process. medi faced the challenge of finding a cost-efficient, flexible architecture which would replace the existent solution while enabling development potential further down the roadmap. For this purpose, a heterogeneous landscape was to be connected to data sources, professional standards such as version controls introduced, and existent report formats migrated to the new Azure platform, ideally without affecting users.
Solution
For a company suffering from poor performance, including lack of flexibility and scalability, the path to the cloud is often the preferred way out. In b.telligent's experience, pure migration often fails to achieve the desired result in terms of operation and use of scalable services, for example. To be able to take all of medi's requirements into account and implement a long-term solution for the client, b.telligent developed the appropriate architecture jointly with the client on the basis of guiding principles, relying on a cloud-first approach in this process. Certain aspects of the platform which would particularly benefit from the cloud were redesigned. On the other hand, developments which had already required a great deal of work were to be migrated.
Specifically, all 17 source systems at that time were connected via the Azure data factory. After development of a zone concept for the data lake, the data were processed in this lake and thenceforth represented the linchpin of the new, modern data platform. In contrast, the actual data warehouse with its data vault modelling was migrated by means of lift-and-shift to the PaaS service known as SQL managed instance. This approach proved to be absolutely correct. The business logic's complexity became clear in the course of the project. New development from scratch would certainly have taken years. However, migration of the tabular cubes to the cloud was completed within a few days, thanks to 100% compatibility. The platform's finishing touch was a complete transfer of existent SSRS reports into the Power BI world in order to combine standard and ad-hoc reports under a single interface in future. Introduction of a standardized deployment process now makes it possible to release new features individually for the platform.
Last but not least, b.telligent encourages sustainable use by clients themselves in all projects. That is why an important component of this project was to successfully impart the necessary skills to the colleagues at medi using the principle of training on the job. "Close cooperation between colleagues from medi and b.telligent was particularly satisfying for us. Due to the pandemic, much of the project took place remotely, this certainly posing a number of hurdles. Thanks to excellent cooperation by the mixed team and good project management though, these hurdles could be overcome and the project completed in time, within budget and at the required quality," says Bastian Dickehage, head of analytics at medi.
Voices From the Project
b.telligent Services at a Glance
Storage
Creation of a data lake for the long-term storage of data and early enablement to work with the data in the lake. New use cases are to be mapped here
Orchestration
Establishment of the Azure Data Factory as a basic orchestration and ETL tool
Migration
Use of the SQL Managed Instance to make the transition from on-prem to the cloud as smooth as possible and to be able to use the features of on-prem here too
Compatibility
Use of Azure Analysis Services (lift & shift of cubes), due to full compatibility with the on-prem services
Reporting
Cost-efficient presentation of SSRS reports (on-prem) in Power BI embedded as paginated reports
Infrastructure
Use of the hybrid Azure infrastructure

Results & Successes
Maximum scalability: Flexible and future-proof architecture with Azure's cloud-first approach.
Efficient data processing: Get faster performance and streamlined processes with a modern data lake and ETL automation.
Cost Efficiency & Flexibility: Consume and pay for cloud services as needed to minimize operational costs.
With many years of comprehensive expertise in the field of modern data platforms based on Microsoft Azure, b.telligent was accordingly able to optimally support medi at every point of the project. Over a project duration of only 6 months, b.telligent succeeded in creating a platform which is not only more stable, faster and fitter for the future, but also as cost-efficient as possible: Wherever achievable, all services are started or paid for only at runtime. medi is now ready to benefit from the possibilities of the cloud, and thus also meet the requirements of all stakeholders in the long term.
The Tech Behind the Success

Microsoft
Innovation and integration, as well as interoperability, are key factors of the Microsoft product development. Learn more about our collaboration!

Google Cloud
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Databricks
Databricks gives data teams the ability to process large amounts of data in the cloud and apply it to cutting-edge AI technologies. Learn more!

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