Data to Agentic Outcomes – Playbook
Brittle data foundations stall projects, coding barriers and talent shortages drag development into months, siloed systems demand massive overhauls, and governance gaps risk compliance while ROI lags amid sky-high expectations.
These are some of the factors that are inhibiting your Agentic AI implementation to scale across the organization.
Want to know more about how to get started with Agents? Then our Data to Outcomes playbook is here to help you! What it talks about:
- Modernization Beyond Lift-and-Shift
- Lift-and-shift fails: legacy designs, duplicates, no future focus → high costs, poor AI.
- Modernization observability (Data Nexus + Purview): inventories, dedupe, unified governance.
- Converged Data Platform Benefits
- Centralizes storage, pipelines, governance, AI/ML with lineage, monitoring, semantics.
- Enables full-data agent actions (e.g., inventory → promos), cuts manual work.
- Technical: Centralized data, metadata, semantics, governance, observability.
- Cultural: Psychological safety, business champions, change playbooks.
- Functional: 9-point POC: structured data, repetitive tasks, quick value, scalable.
