Sooner or later your reporting needs data that doesn't originate in Salesforce: usage events from the product, billing records from an ERP, support metrics from a help desk. How you bring that data in decides whether your analytics stay trustworthy or slowly fill with duplicates and stale numbers.
Decide what actually needs to live in Salesforce
Not every external dataset belongs inside the CRM. If a field is only ever viewed alongside Salesforce records and used in Salesforce reports, sync it in. If it is high-volume, rarely joined to CRM data, or better analyzed elsewhere, consider Salesforce Connect or an external data warehouse instead. Copying everything in "just in case" is how orgs end up over storage limits with data no one trusts.
Match on a stable external key
The single most common integration failure is matching on the wrong field. Email addresses change, names collide, and record IDs differ between systems. Insist on a stable external identifier stored in a dedicated External ID field, and use upsert so the same source record updates rather than duplicates. This one decision prevents most of the mess that shows up later in reports.
Make freshness visible
A number in a dashboard implies it is current. If your integration runs nightly, a figure viewed at 4 p.m. may be sixteen hours old, and no one looking at it would know. Stamp synced records with a last-updated timestamp and surface it on the report or dashboard. When people can see how fresh the data is, they make better decisions and raise fewer false alarms.
Handle failures without corrupting the set
Integrations fail: an API times out, a schema changes, a batch partially loads. Design so a failed run leaves the data in a known state rather than half-updated. Log errors somewhere a person will actually see them, and prefer a run that stops cleanly and alerts over one that silently writes bad rows. A dashboard built on partially loaded data is worse than one that is briefly stale.
Own the contract with the source system
An external feed is a dependency you don't fully control. Document what fields you rely on, who owns the source, and how you'll learn about breaking changes. When the upstream team
renames a field, you want a conversation, not a silent gap in next quarter's numbers.
The takeaway
External data can make Salesforce analytics far richer, but only with discipline: bring in what belongs, match on stable keys, show freshness, fail safely, and manage the upstream contract. Treat the integration as part of your data quality practice, not a plumbing detail, and the reports stay believable.