Profile every input table for completeness, uniqueness, and anomalies. Establish rules for trimming whitespace, fixing encodings, unifying date formats, and resolving conflicts. Use deterministic and probabilistic matching to deduplicate people and companies, documenting tie-breakers so reconciliation remains consistent under pressure.
Create a field-by-field mapping that includes defaults, transforms, and validation rules. Write scripts for lookups, currency conversions, and state normalization. Practice with synthetic data, then with masked real samples, capturing errors and timing so go-live expectations reflect reality rather than optimistic estimates.
Enable only the features required for launch outcomes, deferring optional bells and whistles. Choose sensible defaults, reusable templates, and naming conventions that scale. Document decisions in a living runbook so new teammates can replicate the setup in hours, not days.
Start with identity, email, payments, and analytics before chasing edge connectors. Verify authentication methods, retry logic, and idempotency. Simulate failures, throttle rates, and confirm alerting when payloads drift, ensuring a dependable foundation for more sophisticated workflows and future cross-system automations.