Data Architecture

A practical example

Example: a team chooses a warehouse-centric architecture where CRM and MAP both sync into one store. Later, adding attribution becomes a warehouse modeling task instead of a tangle of point-to-point integrations.

What to evaluate before investing

• Ask vendors to document which system is the source of truth for each object they sync, and how conflicts are resolved.
• Check whether the architecture supports a warehouse or lakehouse destination, or only direct tool-to-tool syncs.
• Map how many point-to-point connections the proposed design requires, and who maintains each one.

Limitations and tradeoffs

Architecture decisions are expensive to reverse; a design that fits today's two tools may not accommodate a third system or a new attribution model later.