Metric Definitions
A metric dictionary and a cleaned sample data model with quality checks.
Business Intelligence
Turn business data into decisions you can explain.
Build a dashboard, recurring reporting workflow, and source-checked decision brief from a small, prepared business dataset.
What You’ll Build
A metric dictionary and a cleaned sample data model with quality checks.
A dashboard focused on a few actionable business questions.
A recurring reporting workflow with freshness checks and a reviewed decision brief.
A reporting blueprint with metric owners, source references, and a checklist for misleading conclusions.
Hands-On Curriculum
Work through each stage on your own project, with guidance as you go.
Start with the business decisions you need to make. Define each metric, time window, owner, and source before building a chart.
Inspect a small dataset for missing values, duplicate records, and inconsistent definitions. Document joins and transformations.
Create a few charts that answer specific questions. Use a supported BI tool or the prepared dashboard blueprint and inspect the underlying numbers.
Have an assistant summarize changes with source references. Separate observed facts, hypotheses, and recommended next steps.
Define a refresh schedule and freshness checks. Configure a supported automation or practice the same process with sample data.
Introduce stale data and a changed metric definition. Verify the report detects problems, then save an owner checklist and review process.
Come Ready To Build
Founders, operators, analysts, and team leads who want useful business reporting with clear definitions and traceable numbers.
Bring a laptop, your preferred AI tool, and an anonymized spreadsheet or use our sample dataset. Basic spreadsheet experience is helpful; no advanced analytics background is required.
Included With Your Ticket
Codebases preloaded with skills and best practices, designed to eliminate 80% of the friction.
Hands-on expert guidance and feedback on your own project.
Recordings, blueprints, slides, templates, prompts, checklists, and code emailed after the workshop.
One shared 60-minute implementation-review session within 30 days. Bring your test results and next-step questions.
FAQ
One shared 60-minute implementation-review session within 30 days of the workshop is included. Bring your test results and questions. This is a group review; private consulting and done-for-you implementation are separate.
We build and test one bounded prototype using a prepared blueprint. Live access depends on your accounts and permissions. A full company rollout, migration, and production certification are outside the workshop scope.
This is a two-day lab capped at 16 attendees. The date, daily schedule, and venue will be announced before paid registration opens. Join the free waitlist to receive the details.
Bring your preferred AI assistant and a spreadsheet or supported BI environment. The guided blueprint includes sample data and a dashboard starting point. Business-system connectors, BI licenses, and API usage are separate; a sample-data path is available.
AI tool subscriptions and other software costs are separate from your workshop ticket. Use your preferred supported tools; we’ll have sample-data exercises where a live connection is unavailable.
No. Waitlist signup is free. We’ll email you when the schedule and paid registration are ready, so you can decide whether to book. No payment is collected now.
Once paid registration opens, tickets will be refundable until the day of the event. If the event is cancelled, you will receive a full refund. Email hi@shipai.club with questions.
Something else on your mind? Ask us.
Your Workshop Pathway
Learn to build a workflow, ground answers in company knowledge, support customers, and report on the business.
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A suggested route, not a required bundle. Choose the workshops that fit your experience and project; each ticket is separate.
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