Operating Intelligence Platform

An operating intelligence platform should clear these eight requirements:

1. Pre-built connectors to the five operating systems of record — no Fivetran middleware, no analyst setup.
2. A unified data model that resolves entity duplication (a customer in HubSpot, Stripe, and Shopify is one customer, not three).
3. Margin computation at the SKU / channel / campaign / segment level, not just revenue.
4. Forecast with confidence intervals — not a point estimate.
5. Risk detection firing proactively (margin cliff, churn risk, deal slip, spend anomaly).
6. Next-best-action recommendations tied to the diagnostic, not a generic best-practices library.
7. Operator cadence outputs — Monday report, board deck draft, weekly review template.
8. Time-to-value under one hour from signup to first useful dashboard.

Most platforms claiming "operating" or "operational" intelligence are BI tools with a re-skinned landing page. Two questions separate real platforms from rebranded BI:

1. "Show me margin by Klaviyo flow." If the answer involves modeling COGS into a custom view, it's BI. If the answer is a single click, it's OI.
2. "Show me the next three actions I should take this week." If the answer is a dashboard, it's BI. If the answer is a ranked list with reasoning, it's OI.

Fairview was built operator-first. The operating dashboard ships pre-loaded. Margin intelligence resolves to the SKU, channel, and campaign level. Forecast confidence ships with confidence intervals, not point estimates. Next-best-action engine reads the diagnostics and ranks the moves. Setup is under 15 minutes; first useful output is under an hour.