What happens when your whole leadership team finally trusts the numbers? DataOps designs enterprise data governance programs, the operating model, the stewardship, the data quality engineering, that turn data from a liability into the asset your AI strategy stands on.
DG-OS™ council structures, decision rights, escalation paths, and cadences designed for how your organization actually works.
Our DQE™ engine deployed on your platform: 200+ rules across every quality dimension with automatic violation tracking and closure.
Owners and stewards selected on prescribed business and technical criteria, trained and accountable, from 2 stewards to 375+.
Shared definitions and lineage in Microsoft Purview so the whole enterprise means the same thing by "revenue."
A 5-step certification pipeline for foundational, composite, and consumer-aligned data products, each registered with quality scores.
Compliant architecture for defense and regulated environments, including CUI and ITAR workloads in GCC High.
Council agendas are driven by platform data, quality results, certification status, and maturity progression, not status updates.
Executives and escalations. Strategic oversight and cross-country alignment.
Operational reviews: DQE™ results, data product certifications, maturity progression, and change management.
Data owners aligning shared definitions, reusable products, and consistent standards across domains.
Deep domain-specific governance, quality, and stewardship, from global to local.
A Technology & BI Council, data owners across five functions, and a full governance lifecycle took data maturity from 4 to 9 out of 10. Within 5 years: 5x top-line revenue and 5.5x shareholder value.
A stewardship structure spanning 375+ franchise-level data stewards, enterprise KPIs governed at 100%, and revenue capture accuracy lifted from 98.2% to 99.6%.
Data governance is the system of ownership, policies, quality controls, and accountability that keeps enterprise data accurate, consistent, and trusted. Done well, it means leaders decide from one governed source of truth instead of arguing about whose numbers are right.
An operating model defines who owns data decisions and how they get made. DataOps uses DG-OS™, a 4-tier council structure spanning enterprise, local, cross-domain, and intra-domain governance, with prescribed steward criteria and 5-step data product certification.
We stood up a full 4-tier council structure with certified data products in 3 months for a $40B aerospace supplier. A complete program including platform, quality engineering, and training typically lands within a 12-month transformation.
Measured outcomes across our portfolio: a 99.4% reduction in data quality violations, roughly $12M in annualized impact from improved revenue capture, and the governance program behind a construction firm's 5x revenue growth.
Tell us where your data breaks down today. We'll show you what a governed foundation would change, and how fast it pays for itself.
