Data Mesh is something new. That's why there are hardly any best practices and experience reports from the industry. Whether data mesh is really a sensible approach for your company can only be determined with a more detailed analysis. But with a few questions you can quickly get an indication in advance. That's why we present here a partial list of heuristics that can help you assess whether Data Mesh makes sense or is at least worth thinking about for your company. We have deliberately avoided a scoring approach, because such a thing always has its weaknesses, and instead worked on an unsorted list of topics with a rough classification of self-assessments into the three response categories "rather not", "worth thinking about" or "useful". This will give you a sense of how ready your company is for Data Mesh.
Usage: Go through it row by row. Click on the statement that best represents your company. Your selection is only stored in your local browser.
|Data Mesh might not be the right choice||Data Mesh is worth thinking about||Data Mesh seems useful|
|Domain-driven Design||Is unknown or does not matter||Partially known and understood||Is understood by all. There are bounded contexts and context maps||Don't know|
|Verticalization of the software system based on domains||No. There is a monolith for the entire business||The transformation to microservices has begun||The software system consists of domain-oriented microservices||Don't know|
|Number of software development teams||<= 5||> 5||> 10||Don't know|
|Make-or-buy strategy for the core domains||Standard software (SAP, SaaS, etc.)||A mix of standard and individual software||Only individual software||Don't know|
|Cloud computing||No issue, many concerns||In the midst of cloud transformation / hybrid cloud||We are cloud native||Don't know|
|Team structure||Separate front-end, back-end and operations teams||Mixed teams consisting of specialists||Small cross-functional teams, supported by a platform team||Don't know|
|Trust||Micromanagement by leaders||Control through goals||Teams and employees are trusted to do the right thing||Don't know|
|DevOps culture||What is CI/CD?||We are establishing a DevOps culture||We are living the DevOps principles||Don't know|
|Product Thinking||Thinking in terms of projects. Roadmaps dictate implementation||Product development is attempted, but fails due to management||Autonomous product teams that (further) develop their products themselves||Don't know|
|Competitive advantage through ML and analytics||Not in focus||Potential is recognized and first lighthouse projects have been launched||Data-driven product development is strong||Don't know|
|Central data team as a bottleneck||The data team handles all requests at a reasonable speed||Analysis results often take several weeks or months||Product owners don't ask analysis questions in the first place||Don't know|