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Secrets of Data Analytics Leaders
An Operating Model for Data & Analytics Part III: Team Composition and Dynamics - Audio Blog
Nov 21, 2022
Exploring the roles and functions of blue and purple teams in enterprise data and analytics. Optimal team composition and dynamics for data analytics, centralized vs. decentralized models. Creating effective federated operating model without a Program Services department. Diverse team structures in data and analytics leadership for optimizing success. The crucial role of Spanners in building efficient data solutions.
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Quick takeaways
- Enterprise data teams require a mix of centralized and decentralized models to bridge business and technical teams effectively.
- Centralized analytics teams benefit data scientists for knowledge sharing, while data analysts excel in decentralized business units for closer alignment with business processes.
Deep dives
Composition and Dynamics of Blue and Purple Teams
Blue teams in data and analytics are responsible for managing shared data across organizations, training purple teams, and maintaining standards. They vary in structure but must support essential functions like data architecture. On the other hand, purple teams focus on building local solutions adhering to enterprise standards and best practices. Data leaders need to follow guiding principles to align resources effectively throughout the enterprise.
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Discover
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