Data Foundation

A data foundation is the layer that connects your CRM, billing, HIS, inbox and spreadsheets so every system agrees on the same customer, hospital or deal. AI agents and reports built on disconnected data give inconsistent answers, so this layer usually comes first. XDQ Labs builds connectors, entity resolution, nightly backups, an audit ledger and tenant isolation. The result is one reliable record per entity that agents, dashboards and finance teams can all trust.

A single customer view is created through entity resolution, which matches records for the same customer across systems even when names, emails or IDs differ. XDQ Labs connects each source, applies matching rules you review, and stores a unified record with links back to the original entries. Conflicts are flagged for a person to resolve rather than merged silently. Most single-customer-view builds take three to six weeks and fall in the USD 5,000 to 20,000 band.

A data integration project with XDQ Labs starts with a one-week assessment that maps your sources, data quality and the outcome you need. The build typically follows in three to six weeks for a handful of systems, such as CRM, billing and spreadsheets. Larger estates with claims exports, several databases or many tenants take longer and are scoped as separate phases. You receive a fixed price after the assessment, so the build cost is known before work starts.

Not at first. XDQ Labs integrations are read-only by default, and nothing writes back into your CRM, billing or HIS until you approve the rules for each change. This lets you inspect the unified data, test the matching logic and confirm reports before any automation touches live records. When write-back is enabled, each change is recorded in an append-only audit ledger, so you can see what changed, when and why, and reverse it if needed.

Yes, XDQ Labs integrates spreadsheets and email alongside structured systems, because much of a company's working data lives there. Connectors read shared sheets and selected mailboxes, extract the relevant fields and match them to existing customers, deals or cases. Sensitive content is redacted in logs, and access follows the same tenant isolation as the rest of the platform. Adding these sources typically extends a data foundation build by one to two weeks.