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Brought to you by Liz Hilton Segel, chief client officer and managing partner, global industry practices, & Homayoun Hatami, managing partner, global client capabilities
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Welcome to Tech for Execs: quick primers on key technology concepts to get leaders up to speed.
What is a data mesh? For both new and experienced data practitioners, managing data is not a trivial matter. Data mesh is a relatively new approach to data management. By decentralizing data to specific business domains like sales, marketing, or customer service, teams can have more ownership over their data and easily share it across the organization.
How does it work? A data mesh is as much a cultural shift as it is a technological one. Part of this is thinking of data as a product, rather than a by-product of a process—and treating data producers as product owners, who can manage their own data and create policies with their best interests in mind.
What are the biggest benefits of a data mesh? Organizations increasingly rely on efficient data collection, storage, and access so cross-functional teams can use it effectively, across the business. A decentralized data architecture is therefore great for scalability and accessibility, especially when used alongside cloud technologies. It reduces operational bottlenecks that come with centralized systems, freeing up technical teams so they can focus on more complex systems.
Where do I start? Moving to a data mesh means overhauling technology, processes, and the way people work. So you need to start with a solid strategy. This might involve investing in DataOps to accelerate design and development, as well as fostering a data culture across the organization.
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—Edited by Joyce Yoo, editor, New York
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