Agile Analytics Operations
Want to learn how to build an effective analytics capability within your organization? In this white paper, we focus on how you can best structure your data engineering team, processes, and supporting tools to achieve agility.
As analytics and data have become more central to decision-making in organizations, the operations that ensure data is available, analytics are refreshed, and predictive models are deployed into the environments where they can have an impact must be up to par.
Getting “the last mile” right is critically important, but it’s often overlooked. Learn how by reading the report.
This white paper discusses:
- Clearly Defined Roles – Identifying the roles needed in your team is an important step in developing your analytics operations capability.
- Supporting Processes – Processes need to be defined in ways that support rapid delivery, alignment with customer needs, and team autonomy.
- Automation and Tools – Automation and tools are key enablers for agility, freeing teams to focus on results rather than repetitive, error-prone work.