Data Governance for retailers. POS, e-commerce, and supply chain lineage, quality monitoring, master data management, and Copilot-safe metric layer.
Data classification, retention policies, and deletion-of-record workflows are all part of the governance scope. We build the operational pattern that demonstrates compliance; your privacy counsel handles the legal interpretation.
We do not handle PCI scope ourselves; payment data lives in tokenized or PCI-DSS-segmented systems. Our analytics work operates on non-PCI customer attributes, with documented data-flow diagrams that the QSA can review.
First useful phase (top 20 assets cataloged, MDM owners assigned, privacy workflows defined) lands in 90 to 150 days. Full enterprise rollout 12 to 24 months.
No. Documents without operational enforcement do not change behavior. The work is the operating model: named owners, defined SLAs, monitoring posture, and the change-management pattern that prevents drift. The documents follow from the operating model.
Time-to-trust for new analytical use cases, time-to-resolution for data quality incidents, and the metric-consistency rate across downstream consumers. We instrument these from day one of the engagement.
, and the data and AI work we ship is designed to hold up under their review.