Question 1

Is this analytics or data engineering?

Accepted Answer

It sits between strategy, operations and engineering. Tracking can be one input, but the main subject is the data infrastructure that lets CRM, automation and AI systems understand the same business reality.

Question 2

Which systems do you work with?

Accepted Answer

CRMs, websites, product databases, automation tools, warehouses, documents and agent platforms. The important point is not the logo, it is whether each system has a clear role, owner and contract.

Question 3

Why does this matter before deploying AI agents?

Accepted Answer

An agent with poor context becomes a faster way to create errors. It needs trusted sources, permissions, source freshness, customer state, escalation rules and logs before it can safely act.

Question 4

Do you also fix dashboards and tracking?

Accepted Answer

Yes, when they are part of the operating layer. The priority is to make data useful for decisions and automation, not only to make reports look consistent.

Customer Data Platform and Data Layer Consulting in Milan | Kevin Escoda