Your Kelowna data is in Commerce7, Square, QuickBooks, and a booking tool, and none of it answers your real questions
Custom BI dashboards in Kelowna run $35,000 to $90,000 over 3 to 6 months. You build custom when your data is scattered across Commerce7, Square, QuickBooks, and a booking tool, and the questions that matter, does a tasting-room visit become a club membership, what's the true cost per case, which channel actually makes money, require joining those sources in ways Tableau and Power BI can't until the data is modeled first. The dashboard isn't the hard part; the data plumbing is.
You bought Power BI expecting answers and got charts of whatever each system exports. Commerce7 knows club and DTC. Square knows the tasting room. QuickBooks knows the money. The booking tool knows visits. None of them knows the others, so the question you actually care about, whether the person who booked a tasting in July became a club member in September, has no single place to live. You end up exporting CSVs and stitching them in spreadsheets, which is exactly what you bought BI to avoid.
Off-the-shelf BI tools are visualization layers. They're excellent at charting clean, modeled data and useless at producing it. The real work for a Kelowna winery or tour operator is upstream: pulling Commerce7, Square, QuickBooks, and booking data together, resolving the same customer across them, and modeling it so a visit, a membership, a purchase, and a dollar can be related. Without that, Power BI just gives you four prettier silos, and your most valuable questions, about conversion, channel profitability, and seasonal patterns, stay unanswered.
The fix: business intelligence dashboards built for Kelowna, not rented
You invest in custom BI, really custom data modeling under a BI tool, when the questions that drive your business require joining sources no off-the-shelf dashboard joins for you. A custom build pulls Commerce7, Square, QuickBooks, and booking data into one modeled warehouse, resolves customers across them, and powers dashboards that answer conversion, channel profitability, and seasonal questions directly. You can keep Power BI or Tableau on top; the value is the modeled data beneath. That's what turns four silos into actual answers.
The capability list that earns its budget
Kelowna business intelligence dashboards: the full scope
Digital Heroes builds the full business intelligence dashboards stack for Kelowna teams. Typical engagements cover Looker, real-time analytics, KPI dashboards, data warehouse, embedded analytics, business intelligence dashboards and BI development.
What business intelligence dashboards costs in Kelowna
| Project scope | Typical cost | Timeline |
|---|---|---|
| Data pipeline + modeled warehouse + core dashboards | $30,000 to $55,000 | 3 to 4 months |
| Full BI build with identity resolution and profitability models | $55,000 to $90,000 | 4 to 6 months |
| Enterprise BI with real-time refresh and predictive analytics | $90,000 to $150,000 | 6 to 9 months |
How long it takes, phase by phase
Exactly what you get
You get answers, not four prettier silos. Pipelines pull Commerce7, Square, QuickBooks, and your booking data into one modeled warehouse, customers are resolved across all of them, and the model relates visits, memberships, purchases, and dollars. Now the dashboards can answer what you actually ask: whether a July tasting visit became a September membership, what a case truly costs, which channel makes money, how the season really moves. You can keep Power BI or Tableau on top, because the value is the modeled data beneath, the part those tools can't build for you.
How to choose a developer in Kelowna
Hire for data engineering, not dashboard decoration. The hard, valuable work is the pipelines, identity resolution, and modeling beneath the charts, so ask candidates how they'd join Commerce7, Square, QuickBooks, and booking data and resolve the same customer across them. A team that leads with chart aesthetics has the priorities backward. Make sure the modeled data also serves your crm, accounting-software, and inventory-management-software, since a warehouse that answers questions for one team should answer them for all of them.
- One modeled data layer joining Commerce7, Square, QuickBooks, and booking data
- Visitor-to-member conversion finally measurable end to end
- True channel profitability with revenue and cost in the same model
- Seasonal pattern analysis across the whole operation, not per-silo
- Dashboards that answer your real questions instead of charting exports
- Most of the cost is invisible data plumbing, not the pretty dashboards on top
- It depends on source-data quality; messy inputs limit what the model can answer
- For a single-source operation, the native tool's reporting may be enough
- The warehouse needs ongoing maintenance as source systems change their exports
- !They focus on dashboard looks: ask how they'll model and join your four sources
- !No identity-resolution plan: ask how a visitor and a member become the same person
- !They ignore data quality: ask how they handle messy source exports
- !No warehouse layer: ask where the joined, modeled data will actually live
- !They can't show a multi-source BI build: ask for a comparable reference
If business intelligence dashboards is on the roadmap, helpdesk & ticketing, erp, custom software usually follow within the year. Budget them as one conversation.
Rohan advises mid-market and enterprise teams on ERP, CRM and custom software, and has led delivery on dozens of business-software builds.
Writes for Digital Heroes, shipping business software for 2,000+ brands across 55+ countries since 2017.
Frequently asked questions
Isn't Power BI or Tableau enough on its own?
They're excellent at visualizing clean, modeled data and unable to produce it. Your hardest questions need Commerce7, Square, QuickBooks, and booking data joined and modeled first, which those tools don't do for you. So on their own they give you four prettier silos. The custom work is the data layer beneath; you can absolutely keep Power BI or Tableau as the front end on top of it.
Why is most of the cost not the dashboards?
Because the dashboards are the easy 20%. The real effort is the invisible plumbing: building pipelines from each source, resolving the same customer across systems, and modeling the data so visits, memberships, purchases, and dollars relate. That's what makes your questions answerable. A quote that's mostly about chart design is mispriced; a serious BI build is mostly data engineering.
Can it really track visitor-to-member conversion?
Yes, once the data is modeled and customers are resolved across sources. By connecting booking and tasting-room data to Commerce7 membership records through identity resolution, the system can follow a person from a July visit to a September membership. This is exactly the kind of cross-source question off-the-shelf BI can't answer until the underlying data is joined, and it's often the most valuable thing the build delivers.