Performance Monitoring
Insights Layer for Store KPIs
Correlates Wi-Fi health signals with footfall counters and transaction windows so analysts stop exporting five CSVs every Monday.
₩5,200,000 · 8 weeks build + quarterly reviews · Analytics engagement
We build a governed semantic layer: which metrics mean what, how late samples can arrive, and how to talk about gaps without blaming the wrong team. Dashboards stay boring on purpose—boring is maintainable.
Accountable lead
Mira Choi
Data insights analyst with retail forecasting background.
What is included
- Metric dictionary with owners
- Late-arriving data handling notes
- Looker or Power BI starter models
- Training for category managers (90 minutes)
- Anomaly playbooks tied to Wi-Fi events
- Data quality SLAs
- Quarterly metric pruning workshop
Outcomes we design toward
- Fewer contradictory Monday reports
- Clearer prioritization when Wi-Fi and POS disagree
- Analysts spend time on decisions, not joins
Questions teams ask before signing
Field notes
“Metric dictionary ended three recurring arguments about what “connected” means.”