Start: Q4 2022
Publication: May 2023
Region: Global
Opinions on data mesh vary from “game changer” to “just hot air”. Regardless of how one feels about it, the concept addresses some highly relevant issues. It is about a focus on data products and decentralized creation and responsibility for data products in the line of business, based on a self-service analytics infrastructure and federated data governance with a high level of automation.
But is data mesh being applied in practice and how is it understood? What functional, technical and organizational measures are companies taking to introduce data mesh and how far have they come? Does data mesh place special demands on the technology? Is it possible to implement it in an established data landscape, or is it necessary to start from scratch?
This study examines how companies view data mesh and its relevance in terms of their data democratization journey. It explores the organizational and technical directions enterprises are currently choosing and the experience they have gained.
Key questions:
- What do companies understand by data mesh? Is it a relevant approach to their efforts in optimizing the way they handle data?
- Which organizational and/or technical measures are companies choosing to simplify the creation of data products in the business?
- Which approaches are companies choosing to implement effective data governance?
- Are specific technologies required to implement a data mesh? Can it be realized in a mature data landscape or is it necessary to start from scratch?