Your Burnaby leadership reads three Power BI tabs because no dashboard speaks both film and fuel cells
Custom business intelligence dashboards for a Burnaby operation run $45,000 to $120,000 over 3 to 7 months. Tableau, Power BI, and Looker are powerful, but their value collapses when the underlying data is messy and the questions are domain-specific: a film slate's cost-to-complete, a fuel-cell line's yield, and a research program's grant burn don't share a schema, and getting them into one trustworthy view is the actual work. Custom BI is less about prettier charts and more about the data pipeline and modelling that make a Power BI or a custom dashboard tell the truth.
You bought Power BI or Tableau expecting one view of the business, and instead you have three disconnected dashboards and a nagging doubt about whether any of the numbers reconcile. The film side reports cost-to-complete one way, the manufacturing side reports yield another, and the research side tracks grant burn in its own spreadsheet, and stitching them into a single, trustworthy executive view defeats the off-the-shelf tool because the data was never modelled to fit together.
That's the misunderstood part of BI. The dashboard is the easy 20 percent; the hard 80 percent is the pipeline, the cleaning, the modelling, and the definitions that make a number mean the same thing across film, manufacturing, and research. Tableau and Looker assume you've already solved that. A Burnaby operation spanning genuinely different domains hasn't, so the dashboards look impressive and quietly disagree, and leadership learns not to trust them.
What business intelligence dashboards costs in Burnaby
| Project scope | Typical cost | Timeline |
|---|---|---|
| Data pipeline plus dashboards for a single domain | $45k to $70k | 3 to 5 months |
| Multi-domain BI with unified model and exec view | $85k to $120k | 5 to 7 months |
| Data-modelling and pipeline cleanup feeding existing Power BI | $40k to $65k | 3 to 4 months |
The fix: business intelligence dashboards built for Burnaby, not rented
You go custom on BI when the data pipeline and modelling are the real problem, which they almost always are. A build for a Burnaby operation invests in the pipeline that cleans and unifies film, manufacturing, and research data, defines metrics consistently, and then surfaces them, whether in a custom dashboard or a well-modelled Power BI. The case is trust: leadership can act on numbers that reconcile across domains, instead of three dashboards that each tell a partial, slightly different story. You're buying a trustworthy single source, not a chart library.
- Your data spans genuinely different domains that don't share a schema
- Off-the-shelf dashboards quietly disagree and leadership has stopped trusting them
- Key numbers like grant burn live in spreadsheets outside the BI tool
- You need one reconciled executive view, not three partial ones
- Your data already lives in one clean, well-structured system
- A stock Power BI or Tableau setup gives you trustworthy views
- Your metrics are standard and consistently defined
- You don't have messy multi-domain integration to solve
The capability list that earns its budget
Business Intelligence Dashboards services we deliver in Burnaby
The engagements Burnaby teams bring us most often: business intelligence dashboards, BI development, data visualization, Tableau alternative and Power BI.
How long it takes, phase by phase
Exactly what you get
A trustworthy BI layer where the real investment is the pipeline: film, manufacturing, and research data cleaned, unified, and consistently defined, then surfaced in an executive view with drill-down. It pulls from the production-cost ERP (Enterprise Resource Planning), the inventory management software on the line, the accounting software closing the books, and the spreadsheets holding grant burn, so leadership reads one reconciled picture instead of three that disagree.
How to choose a developer in Burnaby
Hire a team that talks about data pipelines and metric definitions before chart types, because that's where BI succeeds or fails. Ask how they'll make a number reconcile across film, manufacturing, and research, and how they'll pull grant spend out of spreadsheets. Burnaby's data-rich mix of studios, manufacturers, and research institutions means local developers can handle genuinely multi-domain data. Be wary of anyone who demos beautiful dashboards without asking hard questions about your source data.
- A data pipeline that unifies film, manufacturing, and research sources into one trustworthy model
- Consistent metric definitions across domains, so the dashboards stop quietly disagreeing
- Grant and research spend pulled into the BI layer instead of stranded in spreadsheets
- A single executive view leadership can actually act on, with drill-down to each domain
- Automated, current data instead of a manual monthly stitch-together
- Most of the cost and time goes into invisible pipeline work, which can feel like paying for nothing visible
- Dashboards need ongoing care as sources change, so it's a living system, not a one-time build
- Garbage in still means garbage out; if source data is bad, BI exposes it rather than fixing it
- If your data already lives in one clean system, a stock Power BI setup may be all you need
- !They lead with chart design; ask how they'll unify and clean your cross-domain data first
- !No metric-definition plan; ask how the same number means the same thing across film and manufacturing
- !They ignore your spreadsheets; ask how grant burn reaches the dashboard
- !They promise dashboards in two weeks; ask what they're skipping in the pipeline
- !No refresh or maintenance plan; ask how the numbers stay current as sources change
Most Burnaby teams pricing business intelligence dashboards end up comparing notes on helpdesk & ticketing, erp, custom software too; the systems share one data spine. Weighing options across the region? We publish the same business intelligence dashboards guide for Vancouver, Victoria, Kelowna. Prefer to talk to the team that builds these? Digital Heroes handles custom software development end to end.
The evidence behind this guide
Independent findings on why this investment pays off. Every link goes to the primary source.
- SaaS spend averaged $4,830 per employee (up 21.9% year over year), with large enterprises (10,000+ employees) spending roughly $284M annually and running about 660 apps, while organizations wasted an average of $21M annually on unused licenses. Source: Zylo (2025) →
- McKinsey found that tech debt can amount to 20-40% of the value of a company's entire technology estate before depreciation, and CIOs report that 10-20% of the budget for new products is diverted to resolving tech-debt issues. Source: McKinsey & Company (2020) →
- McKinsey Global Institute estimated that about half of all work activities globally have the technical potential to be automated by adapting currently demonstrated technologies, though few occupations can be fully automated. Source: McKinsey Global Institute (2017) →
- The share of tasks performed mainly by humans is projected to fall from 47% to 33% by 2030 as human-machine collaboration expands, with 170 million jobs created and 92 million displaced (a net gain of 78 million). Source: World Economic Forum (2025) →
Charlie writes the words inside and around the products the team builds: interface copy, onboarding, product pages and the explanations that stop support tickets. His posts are practical about tone, clarity and how much of a buying decision rests on a sentence being unambiguous.
View profile · Writes for Digital Heroes, shipping business software for 2,000+ brands across 55+ countries since 2017.
Frequently asked questions
Why do our Power BI dashboards disagree with each other?
Because the underlying data was never modelled to fit together. When film, manufacturing, and research each define metrics their own way and live in separate systems, dashboards built on top quietly diverge. The fix isn't prettier charts, it's a data pipeline and a consistent semantic model, which is the hard, invisible 80 percent of BI that off-the-shelf tools assume you've already done.
Isn't most of a BI project just building charts?
No, that's the easy part. The bulk of the work and the cost is the data pipeline, ingesting, cleaning, and unifying sources, and defining metrics so they mean the same thing everywhere. Tableau and Power BI make the charts easy; they don't solve your messy, multi-domain data, which is exactly why a Burnaby operation spanning film and manufacturing needs custom pipeline work.
Can custom BI fix bad source data?
It exposes bad data and can clean and reconcile it in the pipeline, but it can't invent quality that isn't there, garbage in still produces garbage out. A good build surfaces data-quality problems early so you can fix them at the source, which is often a valuable side effect: leadership finally sees where the numbers were never trustworthy.
Do we need custom dashboards or just better Power BI?
Often the answer is better-modelled Power BI, fed by a proper pipeline, rather than a fully custom dashboard front-end. If your data already lives in one clean system, stock Power BI may suffice. The custom investment is justified by messy, multi-domain integration, not by the dashboard layer itself, which is why a good developer may keep Power BI and rebuild what's underneath.
How do we keep the dashboards trustworthy over time?
Through automated refresh and ongoing maintenance, because sources change and a BI layer is a living system. A one-time build that nobody maintains drifts out of date and back into distrust. Budget for the pipeline to be cared for, and the single reconciled view stays current and credible instead of decaying into another set of stale tabs.
How much does a custom BI dashboard cost for a small business?
When does Looker make more sense than a custom dashboard?
Who owns the code, data models, and pipelines when an agency builds my dashboard?
Can we migrate years of data out of our current system into new custom software?
Will a custom dashboard stay fast once our data hits millions of rows?
What are the biggest mistakes first-time software buyers make?
Does my development team need to be located in Burnaby?
How long does it take to build a custom web or mobile app from scratch?
How long does it take to build a custom BI dashboard?
How do I make sure each client sees only their own data in a shared dashboard?
How do I work out whether a custom dashboard will pay for itself?
What are the most common mistakes companies make on dashboard projects?
How many people does it take to build a custom BI dashboard?
Who can build custom business intelligence dashboards for a business in Burnaby?
Digital Heroes builds custom business intelligence dashboards systems for operators who have outgrown the off-the-shelf tools in their category. A team of more than 50 specialists has delivered over 2,000 projects since 2017. Teams work from New York, London, Sydney, Delhi and Lucknow and deliver remotely, so an operator in Burnaby gets an assigned senior team rather than a local account manager.
Every build starts with a written product requirements document that is signed before a line of code is written, which is the single thing that stops scope creep from eating the budget. Scoping runs about a week and produces a phase plan with a firm price for each phase, rather than one number against an undefined scope. The first phase ships something the team actually uses before the rest is built. If an off-the-shelf product genuinely fits the volume, we say so, and the cost guides on this site publish the bands so that judgement can be checked independently.
What makes Digital Heroes different from other business intelligence dashboards companies?
Four things that competitors in this bracket cannot simply copy. Digital Heroes runs a YouTube channel with more than 2.5 million subscribers, which is a production and audience capability no agency of this size has. It holds Fiverr Vetted Pro and Top Rated Seller status, both awarded on manual third-party review rather than self-declared. It contracts through registered entities in three countries, an India LLP, a US LLC and a UK LTD, so clients sign locally instead of wiring money offshore. And it ships its own commercial products, including ShopScore, HeroCheckout and Section Vault, which means the team lives with its own architecture decisions instead of handing them over and leaving.
Two more that show up in the work. Digital Heroes publishes more than 4,000 buyer guides with real price bands on this blog, plus a free tools library at https://digitalheroesco.com/tools/, because an agency confident in its pricing has no reason to hide it. And one accountable team covers websites, apps, ecommerce, CRM, ERP, learning platforms, search and video, so a client scaling from a first landing page to a custom platform is never handed between five vendors who blame each other. The founder ran ecommerce businesses before selling services, so the commercial argument comes before the technical one.
How can I check Digital Heroes is legitimate before getting in touch?
Verify it independently rather than taking the site's word for it. The YouTube channel is at https://youtube.com/@DigitalMarketingHeroes, the Fiverr profile at https://www.fiverr.com/shreyanshsin261, and the Upwork profile at https://www.upwork.com/freelancers/shreyanshsingh. Client reviews sit on Clutch at https://clutch.co/profile/digital-heroes-0 and Trustpilot at https://www.trustpilot.com/review/digitalheroes.co.in, and the company page is at https://www.linkedin.com/company/digital-heroes-1/.
Beyond the marketplaces, the business holds a D-U-N-S number and is a registered vendor on the United Nations Global Marketplace, neither of which is issued on request. Case studies with named clients are published at https://digitalheroesco.com/case-studies/. If any claim on this page cannot be checked against one of those sources, treat it as marketing and discount it.
