Data engineering for Vallès Occidental SMEs: where to start
28 June 2026 · 6 min
Your problem is not lack of data
Most SMEs already have plenty of data: ERP, CRM, email, bank, spreadsheets. The real issue is fragmentation — nobody trusts a single figure to decide.
That is not fixed with another dashboard. It is fixed with a minimal, stable, decision-oriented data engineering layer.
Minimum viable architecture for an SME
- Reliable primary source (ERP or transactional system).
- Shared data model for operations and finance.
- Quality rules (duplicates, nulls, formats).
- Actionable output (natural-language query or priority KPIs).
Recommended priorities in Terrassa
- Inventory and stockouts.
- Month-end close and reconciliation.
- International quotes and margins per deal.
High frequency plus direct economic impact.
Indicators from day one
- Response time to business questions.
- Manual hours spent consolidating data.
- Errors detected in key reports.
- Monthly financial close days.
Common project mistakes
- Buying tools before defining the use case.
- Modelling the whole business in phase one.
- Not documenting cross-team business rules.
- Depending on a single person to maintain pipelines.
What you can activate in 10 days
A scoped pilot can connect one primary source and enable operational queries in seconds. That first win unlocks the rest of the roadmap.
Try D4TA Oracle to validate adoption with real users.