Pillar 03
Data Foundations
Data foundations are not a generic cleanup exercise. We identify the domains and controls that priority AI workflows need before they can scale.
03
Data Foundations
Strategic questions
What this pillar answers
Which data domains are critical for the priority AI use cases?
Where do quality, access and ownership gaps need remediation?
What governance rules must be designed before scale?
Mal7 delivery
Practical outputs, not advisory theatre.
Each pillar ends in decisions, operating assets and delivery artifacts that leaders can use with teams, vendors and governance owners.
03
Data maturity and readiness assessment
03
Data architecture and pipeline design
03
Data quality and governance frameworks
03
Master data management strategy
When it matters
Signals this needs executive attention
01
Pilots depend on manual extracts and fragile access
02
Data owners are unclear or misaligned
03
Quality issues appear late in delivery instead of early in design
Next decision