Data Source

What is Data Source?

Modern GTM stacks pull from many sources at once: the CRM, the marketing automation platform, the product database, ad networks, enrichment vendors, intent providers, third-party rollups, partner data feeds. Each source has its own quality profile, refresh cadence, and cost structure. The discipline that matters is provenance — knowing for any given field which source it came from, when, and how confidently. Without provenance, conflicting values turn into mystery; with provenance, you can resolve conflicts by trusting the source most likely to be right for that field. Treating data sources as named, governed, observable assets (rather than just 'wherever the data came from') is the foundation of every serious data operation.

Why it matters

• Provenance is essential for conflict resolution — knowing where a value came from is the first step to deciding whether to trust it.
• Source-quality varies enormously — picking the right specialist per field beats paying one vendor for everything.
• Source-cost optimization is a meaningful lever — many enrichment programs overpay by 2-3x by buying overlap.

Use cases

• Source attribution per field. Every value in the database tagged with the source and timestamp it came from.
• Source-cost audit. Quarterly review of which sources are paying off and which to consolidate.
• Source-quality scorecard. Accuracy, completeness, and freshness measured per source.