When decisions require synthesizing data from multiple sources that may conflict, have different reliability levels, or change over time, Memrail governs which source to trust for which field, detects conflicts, and maintains temporal validity.
This pattern applies when
The Problem
The same entity appears differently across data sources. One database says a company is headquartered in New York; another says San Francisco. One system reports a loan rate of 4.5%; another reports 4.75%. Without governance, which one gets used is arbitrary.
When sources disagree, there is no clear hierarchy for resolution. The system either picks one arbitrarily, averages them (which is often wrong), or fails silently. There are no rules for which source should be authoritative for which field.
Mergers, acquisitions, policy amendments, and regulation updates change which data is current — but the system doesn't know. It uses stale data because there is no temporal awareness tracking when entities, relationships, or policies changed.
"Which version is current?" requires manual investigation. When multiple sources contribute to a decision, there is no record of which source provided which piece of data, making it impossible to audit or debug the result.
The Solution
Memrail turns multi-source data synthesis into a governed decision problem. Source weighting rules define which source is authoritative for which field. Conflict detection identifies when sources disagree and flags the discrepancy for resolution. Temporal state management tracks when data changed and which version is current.
Every data resolution decision produces a trace: which sources were consulted, which were preferred, where conflicts were detected, and how they were resolved. Provenance tracking means you can always answer "where did this data come from?" and "why did we use this value instead of that one?"
Example: Governed entity resolution
Consider a commercial real estate platform that aggregates lender data from multiple sources — direct feeds, public filings, third-party databases, and manually entered records. Without governance, a lender's loan parameters might be different depending on which source was queried last. With Memrail, source preference rules define that direct lender feeds are authoritative for rate data, public filings are authoritative for regulatory status, and third-party databases fill gaps only when primary sources are missing. Conflict detection flags when a lender's data differs across sources. Temporal state management tracks when a lender was acquired, merged, or changed their lending criteria — and ensures the system uses current data.
Platform
Source weighting rules that define which source is authoritative for which field. Conflict detection rules that flag discrepancies. Resolution rules that determine the trusted answer.
Learn moreComplete provenance tracking for every data resolution. Answer "where did this value come from?" and "why was this source preferred?" for any decision.
Learn moreTest new source weighting and conflict resolution rules in shadow mode. See how they would change data resolution before activating them in production.
Learn moreVerify that your data sources are connected and providing the fields your governance rules require. Identify sources that are missing, stale, or disconnected.
Learn moreIndustries
These patterns apply across industries. The business rules change; the governance model doesn't.