Data Governance consulting for financial services firms. Senior-led, fixed-price engagements with industry-specific use cases.
Yes. The 14 principles cover risk data aggregation and reporting capabilities. We focus on the data-architecture and operating-model implications: ownership clarity, lineage, quality SLAs, and the technology posture that supports automated aggregation.
Analytics workloads that feed financial reporting fall under SOX ITGC. We build the change-management, access-control, and audit-log posture that internal audit and external auditors will examine.
First useful phase (BCBS-relevant assets cataloged, owners assigned, quality SLAs defined) lands in 120 to 180 days. Bank-wide rollout typically runs 18 to 36 months across regulatory, risk, and customer-data domains.
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.