You can't optimize what you can't measure — and most growth-stage businesses are flying blind. Dashboards built in spreadsheets, data that doesn't match across platforms, and reporting that arrives 48 hours after the questions were asked: these aren't just inconveniences, they're costing you real revenue in missed decisions and misallocated spend.
Our Predictive Analytics & BI engagement builds the measurement infrastructure your business needs: real-time dashboards, multi-touch attribution, and forecasting models that replace gut-feel decisions with data. Every deliverable is built to be used daily, not referenced quarterly.
Key Deliverables
Analytics audit and gap analysis | KPI framework with clear metric definitions | Real-time executive and department dashboards | Multi-touch attribution model | Revenue forecasting model | Automated weekly report delivery
Our Process
Weeks 1–2: Analytics audit and KPI framework design. Weeks 3–5: Dashboard build and attribution setup. Weeks 6–7: Forecasting model and automated reporting. Week 8: Team training and handoff.
✓Prioritized 90-day implementation roadmap
✓Tool selection & architecture design
✓Full build, testing & deployment
✓Team training & documentation
✓90-day post-launch support
Our Process
1. Analytics Audit
We audit your current tracking, attribution, and reporting setup. We identify what's broken, what's missing, and where your data is lying to you.
Weeks 1–2
2. Tracking & Attribution Setup
We implement server-side tracking, configure multi-touch attribution, and ensure every conversion is properly attributed. No more blind spots.
Weeks 2–4
3. Dashboard & Model Build
We build your executive dashboards and predictive forecasting models. Every metric is validated against source data before going live.
Weeks 4–6
4. Deployment & Training
We deploy dashboards to your team, run live training sessions, and deliver full documentation. 60 days of post-launch support for model tuning.
Weeks 6–8
Discovery & Workflow Audit
We spend 1–2 weeks mapping your current processes, identifying automation opportunities, and calculating ROI potential for each. You get a prioritized list of workflows by business impact, not technical complexity.
Architecture Design & Sign-off
We design the full workflow architecture — tool selection, data model, error handling logic, and security approach. You review and approve before we write a single node.
Build, Test & Staging
Full workflow build in a staging environment. We run every edge case, test failure modes, and validate outputs against your real data before touching production.
Production Deployment & Monitoring
Coordinated production cutover, monitoring setup, and live observation for the first 72 hours. Full handoff documentation delivered within 5 days.
FAQ
How long does an automation engagement typically take?
Most automation engagements are complete in 6–12 weeks from signed contract to production deployment. The timeline depends on complexity — a single workflow can ship in 3 weeks, while multi-system enterprise builds take 10–14 weeks. We’ll give you a specific timeline after the discovery audit.
Do we need technical staff to maintain the automations after delivery?
No. We build with maintainability in mind. Simple parameter changes (like updating an email template or changing a threshold value) can be done by any non-technical team member. For structural changes, our ongoing retainer clients get direct access to our team. Otherwise, you can return to us for a scoped change request.
What’s the typical investment for an automation engagement?
Scoped automation projects start at $8,500 for a single workflow build. Multi-workflow packages range from $18,000–$45,000 depending on complexity and integrations. Enterprise implementations are priced on discovery. All engagements include a full ROI analysis before we ask you to commit — if we can’t justify the investment on paper, we’ll tell you.