Blog · Data quality and reconciliation · Insurance
Join agency policy and accounting files using a reviewed ID crosswalk. Measure unmatched value and prevent row multiplication.
An accounting ledger may identify a client by account code while the policy system uses a different client number. A text join on names can multiply rows or miss renamed entities. A reviewed crosswalk turns an informal spreadsheet connection into a repeatable link whose exceptions are visible.
One row represents: one mapping from a source-system entity ID to a reporting entity ID for a specified valid period.
Useful fields: Source system, source entity ID, reporting client or policy ID, valid-from date, valid-to date, match method, match status and reviewer.
Start with explicit source identifiers and known system links. Use names only to find candidates. Choose whether the join is many source IDs to one reporting client, or one transaction to one policy term. Date the mapping when entities transfer or IDs are reused. Summarize unmatched value alongside unmatched row count because a few large exceptions can dominate the result.
The following records and amounts are invented to show the method. They are not customer results, industry benchmarks or a forecast of Covirage performance.
| Ledger account | Reporting client | Income |
|---|---|---|
| A210 | R10 | $8,000 |
| A211 | R10 | $2,000 |
| A399 | Unmatched | $6,000 |
Two ledger accounts validly map to R10 and contribute $10,000. Another $6,000 remains unmatched. The reporting view covers 62.5% of the $16,000 income, despite matching two of three rows. Calling that join 67% complete without the value coverage would obscure its financial importance.
A technically successful join does not prove that two entities have the same commercial relationship. Group billing accounts can cover several insured entities. Decide the reporting level first and preserve lower-level identities when the question needs them.
Bring a small, authorized sample to Covirage for insurance agencies and brokers. Use the sample to discuss the fields and views your business needs. A dashboard or AI analyst can help explore this question when the required data and definitions are available; missing records still need to be resolved.
Upload sample data to check its structure. Keep unnecessary personal, claims and policyholder details out of an initial sample. The sample check does not establish that every analysis in this guide is available automatically.
These references provide terminology or governance background. The worked example and proposed review method above are original illustrations, not prescribed industry standards.
No. Check value coverage, uniqueness and the meaning of the relationship. A small number of unmatched or duplicated high-value transactions can distort the report.