Requirements, training, and dashboard build run concurrently in one gated engagement. Your team builds version one alongside SSA — and owns it on Monday. Not handed a manual after the fact.
Most analytics projects end the same way — a dashboard is delivered, opened once, and quietly abandoned. It was built for the team, not with them. Co-Build closes that gap: your staff define the metrics, learn Tableau on your own data, and build version one alongside SSA. What they build, they own.
Requirements, training, and build run at once — not in sequence. The data dictionary co-creation is the requirements phase.
Your team leaves able to build in Tableau, trained on your own data — not a demo dataset.
A team that built version one owns it. That is how a dashboard gets used instead of shelved.
"We don't deliver dashboards. We build the capacity to run them — and that capacity happens to include a dashboard."
One clear question, one data source, two stakeholders, one dashboard they own. Best for proving the model or landing a focused first win.
Up to two dashboards and sources, extended training, and a governance starter so definitions stay maintained.
Multiple dashboards, train-the-trainer, and a warm handoff into BI Project Build for standardizing analytics across programs.
What you bring: Two to four named stakeholders with time formally allocated. Data access provisioned before training. A decision-maker empowered to sign off at each gate.
Every Co-Build engagement starts with a scoping call — confirming the business question, identifying the two to four stakeholders, and confirming data access. We'll tell you whether it's a fit before we write a proposal.
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