Treat disagreement as a problem
I treated conflicting records as a data-quality problem rather than dismissing them as small discrepancies.
Case 02 · Operations
Many records.
Decisions you can trust.
When records disagree, faster processing does not make decisions more trustworthy. I addressed missing and outdated creator data, then organized the findings into usable results for the team.
139,292Source rows reconciled · 136,852 creators1
Trust in the records
comes before speed.
Collecting more data was different from making it useful. I reconciled records and distinguished corrected information from newly obtained information.
Keep outcomes distinct
I separated corrections from newly obtained information so the team could understand what had changed.
Make the findings usable
I went beyond processing the dataset and organized the findings for the people who would use them.
Recovered. Corrected.
Newly obtained.
These are separate improvement outcomes. They should not be summed or treated as a partition of the full dataset.
Source rows and individual creators are different units.
Sources and scope
Contact reconciliation and verification records. Source rows, unique creators, changes, and newly obtained records are counted separately.
Verified recovery records. Missing-record recovery is a separate improvement from contact reconciliation.
Detailed implementation and operating rules are not disclosed to protect confidential work.