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A late correction can update source records after reports have already been published. Depending on whether pipelines overwrite, append, or snapshot data, totals may change in only some periods or dashboards.
Compare correction timestamp, event time, watermark, transformation version, report cache, and historical update policy. Trace representative records through raw, modeled, and published layers.
Define how late corrections restate history and make the effective data-through time visible. Add reconciliation between source correction counts and changed report totals.
Informatix Systems provides data engineering and analytics services. We can review the setup, identify likely causes, and help plan a practical resolution. Contact us with the platform involved, when the issue began, and non-sensitive error details.
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