Data Dash is a specialist analytics consultancy helping mid-market companies turn raw data into decisions in weeks, not quarters. We deliver the work big firms charge $100K+ for — at the speed and price growing businesses actually need.
Data Dash exists because there's a real gap in the market between the big consulting firms and what most growing businesses actually need. A $50M company doesn't need a six-month McKinsey engagement to know which marketing channels are working. They need a great dashboard, in two weeks, that answers the questions keeping leadership up at night.
That's the work we do — and we do it well because we've done it before, at scale, inside the kind of companies that hire us. Every engagement is led by senior practitioners with deep technical expertise and an obsession with making analytics actually useful.
No bait-and-switch where you meet the principal in the sales call and get handed off to junior staff for delivery. The senior consultant you meet is the senior consultant building your dashboards.
The goal isn't more dashboards. The goal is better decisions. Every line of code we write is in service of someone making a smarter call than they would have without us.
Before founding Data Dash, our principal spent years building analytics inside Fortune 500 organizations and advising venture-backed startups. That means seeing how data actually flows through real businesses — the messy parts, the political parts, the parts where the right dashboard prevents a $500K mistake.
We bring that perspective to every client engagement. You don't need to teach us what a P&L is or why retention matters. We come in already speaking your language, focused on getting you answers as fast as possible.
And because Data Dash is intentionally a focused practice, when you hire us, you're working directly with senior expertise — not a junior consultant relaying questions back to a senior partner you'll never speak to again after the kickoff call.
Data Dash operates as a distributed practice, drawing on talent across multiple time zones. The result: faster turnaround, broader perspective, and access to the best expertise regardless of where it lives.
With practitioners across North America, Europe, and Asia-Pacific time zones, we can move work forward around the clock when projects demand fast delivery.
Our distributed model means we tap specialists with deep experience in specific industries, BI tools, and analytics methodologies — matching the right expert to your project, not whoever happens to be on the bench.
Distributed by design from day one. Async communication, cloud-native deliverables, recorded walkthroughs, and weekly previews mean your time zone doesn't matter — only that we deliver.
Most analytics consultants disappear into a back room and resurface weeks later with a 40-page deck. We don't. From day one we're in your tools, on your calls, and asking your team the questions only they can answer.
The result is dashboards that reflect how your business actually runs — and a team that owns them long after we're gone.
These aren't marketing words — they're the operating principles we apply to every project. We turn down clients who don't share them.
A dashboard delivered in 6 months is one your business has already moved past. We move in weeks because the cost of slow is higher than the cost of imperfect.
Bad analytics don't just waste money — they erode trust in data across the organization. We'd rather build one dashboard your team checks daily than ten that gather dust.
"Revenue is up 12%" is information. "Revenue is up 12%, driven by your East region — but margin is compressing because of the discount strategy" is insight. We always deliver the second.
Our goal is to leave you self-sufficient. We document everything, train your team, and aim for engagements that end naturally — not retainers that quietly never stop.
We use AI where it actually adds value — forecasting, anomaly detection, natural language querying. We don't bolt it onto every project to look modern.
If we think your KPI doesn't measure what you think it measures, we say so. If your data isn't ready for the dashboard you're asking for, we tell you. No yes-people.
Our model is fundamentally different from traditional consulting firms. Here's what that means for you.
Our most common engagement is 2–4 weeks for a sprint project, 4–8 weeks for a full build, and ongoing for fractional analytics retainers. We start with a free discovery call to scope the work and give you a fixed timeline before any commitment.
Sprint projects typically run $5K–$15K. Full builds range from $20K–$60K depending on scope. Fractional retainers start at $4K/month. We provide a fixed price upfront — no hourly billing, no surprises.
We build in Tableau, Power BI, and Looker — the three tools that cover roughly 90% of the BI market. If you're using something else (Sigma, Qlik, Metabase, etc.), reach out — we may still be a fit.
Almost every client comes to us with messy data. That's normal. The first week of any engagement is auditing and connecting your data sources, and we'll be honest if we find issues that need to be addressed before dashboards are useful.
Yes — happily. We sign NDAs before any discovery call where you'd be sharing sensitive information.
You get 90 days of free support after launch — bug fixes, small tweaks, and team questions. After that, you can either go fully self-sufficient with the documentation we leave behind, or transition to a fractional retainer for ongoing support.
Free 30-minute discovery call. No pitch deck, no commitment. We'll listen, ask good questions, and tell you honestly whether we can help.
Book a discovery call [email protected]