When 5+ departments each define ‘revenue’ differently, we’ve helped teams agree on KPIs, align on access, and move to trusted, governed data products.
We bring experience working with analytics for product teams, revenue orgs, and clinical operations—so your strategy isn’t finance-only or IT-owned.
From platform fit analysis to semantic layer blueprints, our assets help stakeholders make fast, clear choices without losing technical rigor.
We identify how and where GenAI can enhance decision workflows—narratives, explanations, copilots—while keeping compliance, traceability, and access rules intact.
We cover current-state audits, tool selection, semantic layer architecture, KPI alignment, AI opportunities, and governance models.
Yes. We evaluate platforms based on cost, integration, data complexity, user types, and long-term extensibility.
Absolutely. We assess where GenAI copilots, narrative generation, and insight automation make the most sense in your workflows.
Yes. We define clear documentation, adoption paths, and governance that align with both business and engineering stakeholders.
Yes. We define clear documentation, adoption pathTypically 4–6 weeks with working sessions, templates, and accelerators — faster if built on top of an existing analytics foundation.s, and governance that align with both business and engineering stakeholders.
We begin with a $0 BI strategy modeling session — focused on your current stack, blockers, and business reporting needs.
