Piecing it all together – the importance of data mesh monitoring and data observability

In my experience of working on data mesh projects with multiple customers, I have observed two uber-level patterns on how centralized data analytics gets funded and monetized:

• The central cost center model: Some companies treat centralized analytics as a requirement for the company and fund it as a central initiative. In such scenarios, an annual budget is allocated to analytics and projects are prioritized by a committee of key stakeholders that decide which analytical projects will be supported and which will be put on the back-burner for the next year. Central analytics is a cost center, and the return on investment (ROI) is evaluated by the overall impact of analytics on the top and bottom lines of the business. The data mesh implementation is also part of this central budget.
• The distributed cost center model: Many large global companies treat each zone or major product division...