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IntermediateSITUATIONAL
A key client dataset you depend on is delayed and you must still deliver accurate reports—what contingency steps do you take to execute on time while minimizing risk to data integrity?
data entry, bookkeeping
General

Sample Answer

Last quarter a vendor feed I rely on was two days late and I had a board report due. I first alerted stakeholders and reset expectations with a one-paragraph note showing impact and a revised timeline. While waiting, I pulled the prior three months of the same dataset, validated trends, and rebuilt the report using cached data plus clearly flagged placeholders for late fields. I also ran reconciliation scripts to compare historical variances and applied conservative estimates only where patterns were stable (average variance under 2%). Once the feed arrived I performed checksum and spot reconciliations and replaced placeholders—total delay to delivery was 12 hours and accuracy checks found 0.3% variance versus final data.

Keywords

Communicate early with stakeholders and reset expectationsUse cached historical data and conservative estimates with clear flagsPerform checksum/spot reconciliations and quantify variance
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