10 recommendations for a successful enterprise data mesh implementation
Since pioneering the framework, ºÚÁÏÃÅ has delivered the most data mesh implementations in the industry. Discover what we’ve learned, how to overcome common challenges, and our recommendations to ensure data mesh success.
Four principles of data mesh
Bring your data closer to the teams that need it most and know it best.
Apply product design and development principles to build high quality, usable data solutions.
Remove friction and technological complexity from the interaction between data producers and consumers.
Automate data governance policies, with no need for a centralized authority.
Discover the benefits
Make better-informed decisions, faster
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Empower domain teams to operationalize and act on data faster, accelerating data-driven decision-making for a significant competitive advantage.Ìý
Create a data-driven culture of innovation
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Put data consumers in control, freeing them to experiment and explore data-driven ideas that lead to lasting, meaningful innovation.
Support AI and ML initiatives
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Enable teams to create data products specifically for AI and ML, making powerful capabilities accessible to more domains than ever before.