Case studies
Representative engagements without the generic gloss
Anonymized examples showing the kind of modernization, semantic, and AI readiness problems Semantic North supports.
Financial operations
Creating a shared semantic layer for finance operations
Finance teams used the same metric names with different calculation logic across dashboards, planning models, and executive packs.
Aligned 35 priority metrics across finance and operations stakeholders
Manufacturing
Sequencing a complex analytics modernization program
A global manufacturer needed to modernize an aging reporting estate without breaking critical operational visibility.
Mapped 400+ reporting and data assets into practical sequencing groups
Professional services
Prioritizing practical AI workflows from a broad idea backlog
The leadership team had a long list of AI ideas but lacked a disciplined way to decide which were viable, valuable, and safe to pursue.
Prioritized 18 AI workflow ideas into 4 near-term execution candidates
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