How is data currently exchanged between business domains?

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Each domain should have the freedom to select the technologies that best meet its specific requirements. The design of the domains should take into account technological independence and allow the use of different technologies.

Central questions (excerpt from the adesso questionnaire):

What technologies and tools are currently used in the various domains for data management and analysis?
Are there technological dependencies that could potentially make it difficult to achieve technological independence?
Clearly defined interfaces and APIs – enable the exchange of data
One domain could focus on claims management in insurance. This is where data about claims, insurance policies and claims processing is recorded. Through clearly defined interfaces and APIs, this data can be shared with external partners such as workshops or assessors in order to optimize the claims processing process and ensure smooth collaboration.

Clear interfaces and APIs are required to enable the exchange argentina consumer email list of data between domains. The design of the domains should ensure that the interfaces are clearly defined and interoperable.

Central questions (excerpt from the adesso questionnaire):

Are clear interfaces and APIs defined that facilitate the exchange of data and enable interoperability between domains?
Developing an enterprise-wide data strategy comes before implementing a data mesh approach
Data domains can be tailored based on organizational and procedural aspects as well as taking functional and technical aspects into account. The interfaces between the data domains play a particularly important role.

When introducing the data mesh approach in an insurance company, a step-by-step approach is recommended. First, the existing line-of-business data silos can be migrated to a modern data platform, for example by implementing a lakehouse approach. The existing domains are then expanded to include functional domain teams in order to decentralize data responsibility and use. It is crucial to optimize and expand the interfaces between the domains in accordance with the intended use cases. A data catalog can serve as a central tool to make data products and information in the domains easier to find and available and to make them accessible to all users.

However, the decision to use a data mesh approach should be made on the basis of a sound and cross-company data strategy. A solid foundation in the form of a comprehensive data strategy is essential to ensure that the data mesh approach can be successfully implemented and used. It enables a clear alignment with business objectives, the definition of data quality standards, the determination of responsibilities and the establishment of appropriate governance mechanisms.