An Operating Model for Data & Analytics Part III: Team Composition and Dynamics
ABSTRACT :
There are many models for bridging business and technical teams, but each requires careful consideration of team composition and company culture.
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There are many models for bridging business and technical teams, but each requires careful consideration of team composition and company culture.
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Hybrid development teams are critical to the success of a data & analytics program. Data leaders need to nurture these teams with knowledge flows.
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An operating model for data & analytics is critical for aligning resources across the enterprise and balancing the needs for agility and governance.
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The data mesh is an attempt by software engineers to remake the data industry in their image. There is a lot of goodness in the data mesh but will it work?
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Biotech giant Roche has decreased cycle times by migrating from a traditional data warehouse to a DataOps-driven data mesh.
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