Competing on data is no longer visionary–it is table stakes–yet most enterprises still struggle to translate dashboards into dollar impact. VSI's Strategic Analytics Advisory practice bridges that gap by combining board-level guidance, deep industry benchmarks, and hands-on enablement. Insight to
Impact Framework
- Engagements begin with a Diagnostic Sprint: AI crawlers map data lineage, while maturity heat-maps benchmark governance, literacy, and analytic ROI. A CFO can see, in one page, how fragmented pipelines add five days to close or how untrusted metrics erode marketing spend. Use-Case Factory
- Business strategists and data scientists co-create a portfolio of value hypotheses–predictive churn models, carbon-aware supply chains, real-time margin steering–each scored on NPV, ESG payback, and talent readiness. Prioritized plays feed a 12-month roadmap that mixes quick wins with platform foundations. Architecture & Operating Model
- Architects define target blueprints: lakehouse or data mesh, semantic layers, MLOps, and Fin
Ops guardrails. Design thinkers craft data products–pricing APIs, supplier risk scores–packaged for internal re-use via product catalogs. Change leads define new roles: data product manager, citizen analyst coach, AI ethics steward. Governance & Trust
- Policy-as-code templates automate PII masking, lineage logging, and bias tests. Dashboards surface cost-per-query and CO2 per job, enabling greener and cheaper decisions. Results
- A global grocer discovered $140 M dead stock via SKU rationalization; a defense integrator cut bid cycle time 30 % with model-based estimates; a biotech monetized trial data, yielding a new $50 M revenue stream–all within the first year. VSI's advisory is outcome-priced, so fees scale with value created. From boardroom vision to day-two enablement, we turn analytics ambition into consistent, measurable advantage.
