In 2022, SQ achieved its first CN data visibility and discovered that over 80% of NOI reinstatements were attributed to "FARO" and "Error" reason codes. By correlating NOI data with anecdotal escalations, we were able to shift from a reactive, case-by-case mentality to proactive solutioning. This approach garnered support from APAC TSE and led us to launch a NOI listing enforcement dashboard. We also worked with the WW BP FARO team to update the FARO ML model, which helped to sideline potential FARO submitters targeting CN sellers. In addition, the TSE CDT team reviewed the low accuracy of automation rules that were incorrectly enforcing listings

Can you fine tune this sentence - In 2022 SQ obtained first CN data visibility and observed 80 of the NOI reinstatements were driven by FARO and Error reason codes We correlated NOI data with anecdota

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