Secrets of Data Analytics Leaders Analyst Series - Operating Models for Data & Analytics: How to Align Resources Across the Enterprise
Sep 7, 2023
Discover how organizations can effectively align data and analytics resources for better efficiency. Learn about the strategic roles within these operating models, including the innovative 'purple people' who blend IT skills and business insight. Explore the shift from centralized data teams to empowering individual business units for greater involvement in governance. Finally, uncover the significance of hybrid teams and how creating standards can prevent data silos, ensuring tailored solutions that meet specific business goals.
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Understanding Operating Models
- A data and analytics operating model organizes resources to ensure alignment across an enterprise. - Misalignment often occurs between enterprise and domain-level groups, reducing effectiveness.
Who Owns Operating Models?
- The head of data and analytics is responsible for implementing operating models. - Organizing data and analytics outside of IT is preferred, but often data engineering remains within IT.
The Role of Purple People
- 'Purple people' blend technical IT skills with business knowledge. - They bridge enterprise-level technical teams with business units to deliver effective solutions.