
Design a data architecture built for AI scale
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Modern enterprises are rethinking their data platforms to meet the speed, scale, and complexity of AI. According to Forrester Research, data architects must be prepared to:
- Support hybrid and multicloud environments for agility and resilience
- Embrace AI innovation while keeping data at the core
- Rearchitect legacy systems to meet the demands of real-time, intelligent workloads
“As data environments become increasingly complex and distributed — and the pressure to deploy AI across more use cases continues to mount — the need for connected, trusted, and scalable platforms to orchestrate these efforts has never been greater.”
— Forrester Research
To address these challenges, Forrester’s Data, AI, and Analytics Architecture Model (2025) introduces a six-stage framework that helps organizations design scalable, insight-driven systems and future-proof their data strategy
The Forrester six-stage model

1. Ingest / Stream
Capture data from diverse, fast-moving sources with low latency and high reliability to enable real-time insights.
2. Prepare / Transform
Cleanse, enrich, and structure data using AI-driven pipelines and knowledge graphs for consistency and context.
3. Define / Model
Apply semantics, ontologies, and metadata management to standardize meaning, ensure traceability, and support scalable AI models.
4. Store / Persist
Use cloud-native, hybrid, and multicloud storage to maintain high availability, governance, and compliance across environments.
5. Integrate / Orchestrate
Connect data, models, and applications through automated workflows that enable real-time decisioning and intelligent automation.
6. Deliver / Share
Distribute insights securely and at scale through APIs, dashboards, and collaboration tools that bring AI outcomes into daily business use.
A modern architecture does more than support AI — it unifies data, technology, and people to deliver continuous value at enterprise scale.
Access Forrester’s Data, AI, and Analytics Architecture Model (2025), courtesy of Strategy, to learn how to build a platform designed for scalability and trust.