Audit intermediate Works with: Any AI

Looker Studio Metric Accuracy Audit Against Source Platforms

Table output

Check dashboard numbers against the original platforms.

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Audit report accuracy. Numbers shown for a period: [REPORT_NUMBERS]. The same numbers from the source platforms: [SOURCE_NUMBERS]. Date range, time zone and filters used in each: [SETTINGS]. Tolerance: [TOLERANCE].

Compare each metric, compute the difference and percentage, and group differences into three bands: within tolerance, explainable, and unexplained, with the count and largest difference in each. Examine causes in plain words: different time zones, different attribution windows, sampling, filters, definition differences, recent days still updating, and duplicates from blends. Do not call a difference an error until you have explained it. For each unexplained difference give the first three checks in order of cost.

Return a table with Metric, Report, Source, Difference, Percent, Likely cause and Next check, prioritised by the largest differences, and a sign-off note stating the period, tolerance and the person who accepted the report. Repeat monthly for three months and then quarterly. Keep the sign-off note short enough to attach to the report. If a difference stays unexplained after the three checks, say who should be asked next and what to tell readers in the meantime.

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