Develop, manage, and deliver analytics
How develop, manage, and deliver analytics are reshaped as AGI capability advances.
The bottom line
Roughly 90% of the work in Develop, manage, and deliver analytics is information-shaped — already within reach of AI delivery. The question here is not whether it shifts, but which tasks go first and who staffs the residual.
Why: Because no child occupations are seeded for this composite, the scalar is derived entirely from the process name and description. The core activities of creating 'analytical capabilities' and enhancing a 'data management pipeline' represent pure information transformation and software-based knowledge work, placing this process firmly in the digital band.
grounded in the economy graph · digital scalar 0.90 · digital
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How the work flows
Trigger: A business unit requests a new data model, dashboard, or report to support operational decision-making.
- Define business requirements and analytical objectives
- Evaluate data availability, quality, and pipeline readiness
- Develop the analytical model, dashboard, or reporting framework
- Test and validate analytical outputs against business expectations
- Deploy the analytical solution into production environments
- Train end-users on interpreting and applying the analytics
- Monitor analytical performance and maintain the solution over time
Outcome: A validated analytical solution is deployed to production and actively utilized by business stakeholders to generate ongoing insights.