Processes

Develop, Manage, and Deliver Analytics

How develop, manage, and deliver analytics are reshaped as AGI capability advances.

ProcessesDevelop, Manage, and Deliver Analytics
Develop, Manage, and Deliver Analytics — illustrated

Business-as-Code

Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.

Develop, Manage, and Deliver Analytics sits inside a larger value-flow — 1 parent structure it composes into. The hierarchy is grounding, not the story: it tells you which aggregate exposure Develop, Manage, and Deliver Analytics inherits.

Where Develop, Manage, and Deliver Analytics sits

Browse within Develop, Manage, and Deliver Analytics

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How the work flows

Trigger: A business unit or strategic initiative requests new insights, predictive models, or data visualizations to address a specific operational or market challenge.

  1. Gather and prioritize analytical requirements from business stakeholders
  2. Identify, ingest, and prepare required internal and external data sources
  3. Develop and train data models, algorithms, or reporting dashboards
  4. Validate model accuracy, performance, and relevance against business objectives
  5. Deploy the approved analytical assets into the production environment
  6. Monitor model drift, usage metrics, and pipeline stability
  7. Refine or retire analytics based on ongoing performance and changing business needs

Outcome: Validated analytical models and dashboards are deployed into the production environment and actively provide reliable insights to end users.

Measured by

Model Deployment Cycle TimeAnalytics Adoption RateModel Accuracy ScoreData Pipeline Uptime