Enterprise Data Modernization
Unifying analytics talent from across the company and IT into a single Enterprise Data Organization — and laying the foundation for AI leadership in the industry.
The Opportunity
Analytics capability had developed alongside the business — embedded in operating departments and in IT, close to the problems each was solving. Consolidating it into a single organization was the next step in that arc: one source of truth for company data, a foundation on which AI could credibly be built, and real-time operational decision-making at portfolio scale.
The Build
Led a significant data modernization effort that treated the problem as organizational before it was technical. Unified disparate analytics personnel from across the company and from IT into a single Enterprise Data Organization, and recruited a veteran SVP to lead it — consolidating tooling investments into one analytics platform and establishing data science and KPI reporting as enterprise disciplines with executive sponsorship.
The Outcome
The company gained a single source of truth for operating data and the ability to make real-time decisions at portfolio scale. The unified organization aligned cross-functional teams behind one data and AI roadmap with board sponsorship — laying the foundation for AI leadership in the industry, with the structure, talent, and governance to evaluate and deploy new capabilities as they mature.
Let's talk specifics.
If something here resonates with what you're working on, the next step is a short conversation — no proposals, no pitch, just whether the problem fits the practice.