Business Dashboards That Drive Decisions

Dashboard.do automatically tracks 150+ business metrics across revenue (MRR, ARR, ARPU, bookings, billings), growth (new customers, expansion revenue, net revenue retention), customer health (churn rate, customer lifetime value, cohort retention), sales (pipeline, conversion rates, win rates, sales cycle length), marketing (CAC, payback period, ROAS, attribution), and product (DAU/MAU, feature adoption, engagement scores). Real-time updates in <500ms with automatic aggregation across time periods. Custom KPI definitions support complex calculations like Rule of 40, magic numbers, and efficiency scores. No manual instrumentation—metrics derived automatically from semantic business events.

Yes. Build role-specific dashboards for executives, sales, marketing, product, engineering, and custom teams. Drag-and-drop dashboard builder for non-technical users with 50+ pre-built visualization components. Code-first approach using TypeScript for developers with full type safety. Share dashboards via unique URLs with granular permission controls (view, edit, admin). Schedule automated distribution via email, Slack, Teams with PDF/PNG exports. Embed dashboards in internal tools, customer portals, or public websites using iframe or React components. Multi-tenant support—white-label dashboards with custom branding for your customers.

AI agents continuously analyze your metrics using causal inference, time-series forecasting, and pattern recognition. Get natural language insights like "Customer churn increased 23% due to pricing changes in enterprise segment" with specific evidence (affected customer cohorts, timing correlation, statistical significance). AI recommends specific actions with expected impact: "Reduce enterprise tier price by 15% to recover 45% of churned ARR". Predictive analytics forecast future performance with 95% confidence intervals up to 12 months ahead. Root cause analysis automatically identifies which variables (features, campaigns, deployments) drive metric changes. Natural language queries make analytics accessible to non-technical users: "show me which marketing channels have best ROI this quarter".

Enterprise-grade security with SOC 2 Type II, ISO 27001, GDPR, CCPA, and HIPAA compliance. Automatic PII detection and masking using ML classifiers prevents sensitive data exposure. Role-based access control (RBAC) with SSO via SAML/OIDC and SCIM provisioning. Data encryption at rest (AES-256) and in transit (TLS 1.3) with optional customer-managed keys. Complete audit logs track every dashboard view, query, and export with user attribution. Data residency controls ensure data never leaves specified regions (US, EU, Asia). Regular penetration testing and bug bounty program. Enterprise plans include dedicated VPC, private endpoints, and on-premise deployment options.

Yes. Native connectors for Tableau, Looker, Power BI, Metabase, Redash, Superset, Mode Analytics, Sisense, and 20+ other BI platforms. Standard SQL interface via JDBC/ODBC drivers works with any tool. Real-time data sync using change data capture (CDC) ensures BI tools reflect latest data within seconds. Pre-built semantic layer with business logic, relationships, and calculations so analysts don't redefine metrics. Reverse ETL to sync dashboard insights back to operational systems (Salesforce, HubSpot, Marketo). REST API for custom integrations. Use dashboard.do as your metrics store and single source of truth while leveraging existing BI investments for advanced analysis.