Organizing for Success Part III: How to Organize and Staff Data Analytics Teams - Audio Blog
Jan 8, 2024
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Explore the intricate staffing and organization of data analytics teams, the role of Chief Data Officer, diverse responsibilities within teams, Valuations Analysts, Data Innovation, Security teams impact on data strategy, and investment in data security and analytics roles for success in data-driven environments.
Invest in diverse teams for data-driven success at all organizational levels.
Establish centers of excellence, led by a CDO, to drive data innovation and infrastructure optimization.
Deep dives
Organization and Structure of Data Analytics Teams
Data-driven organizations invest significantly in both people and technology to develop robust data analytics teams. Ecrusin Group's framework outlines nine teams and 44 roles within a data analytics program, with varying responsibilities. While smaller companies consolidate functions into a single team, larger organizations separate functions across multiple teams. Strong partnerships with internal groups managing data are crucial, with different roles needing diverse staffing approaches.
Centers of Excellence in Data Analytics Programs
Mature data analytics programs typically have centers of excellence like business intelligence, data science, and data management teams. These centers develop complex applications, support self-service analytics, and are essential for fostering a data-driven culture. A Chief Data Officer (CDO) often oversees these functions to coordinate activities efficiently. Additionally, data innovation and data infrastructure play vital roles in optimizing resources.
Role Definition and Business Unit Staffing in Data Analytics
Corporate data analytics teams, including business intelligence and data management, consist of key roles such as BI Developers, Data Scientists, and Data Operations Engineers. Business units also form their own data analytics teams led by roles like Data Analytics Manager and Data Scientist. The integrity of core data assets is managed through roles like Data Owner and Data Steward, ensuring data quality and governance across the organization.
Companies need to invest heavily in teams and people, both at corporate and in the field, if they want to become a data-driven organization.
Published at:
https://www.eckerson.com/articles/organizing-for-success-part-iii-how-to-organize-and-staff-data-analytics-teams
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