Service
Data Strategy & Readiness
AI is only as good as the data behind it. We help you get yours in order so your AI investments actually work.
Overview
From fragmented data to AI-ready foundations.
Most manufacturers have more data than they realise, and less of it is usable than they hope. Production data sits in siloed systems, quality records sit in spreadsheets, and machine data is captured but rarely analysed.
Vantley takes you from a fragmented data environment to one that is clean, connected and governed properly.
What we do
Pragmatic data work without over-engineering.
- Audit ERP, MES, SCADA, spreadsheets and business systems
- Assess quality, completeness, accessibility and governance
- Design data architecture that supports AI ambitions
- Develop data pipelines and integrations where required
- Implement governance, ownership and quality standards
- Advise on storage, cloud infrastructure and access controls
Questions
Data readiness questions manufacturers ask.
Does our data need to be perfect before starting AI?
No. Data does not need to be perfect, but the business does need to understand where useful data lives, how reliable it is, and what needs improving before larger AI work begins.
What systems do you review?
A data readiness assessment can review ERP, MES, SCADA, spreadsheets, quality systems, finance systems, reporting tools and other operational data sources.
How does this connect to the AI Readiness Index?
The AI Readiness Index gives an initial view of data and systems maturity. A data readiness engagement then turns that view into a practical improvement plan.
Next step
Not sure if your data is ready for AI?
Most businesses are not, and that is fine. Talk to us and we will tell you honestly what it would take to get there.