Your Glasgow Power BI looks impressive and still can't answer 'which jobs are we underpricing'
A custom business intelligence dashboard for a Glasgow engineering or events firm runs £25,000 to £80,000 over 3 to 6 months. Tableau, Power BI, and Looker visualise whatever data you feed them beautifully. The problem is rarely the chart; it's that the underlying data is scattered across an ERP (Enterprise Resource Planning), a CRM (Customer Relationship Management), a job spreadsheet, and Xero, and none of them agree on the one question that matters: which jobs make money and which you underprice. A custom BI build unifies those sources into a trusted model first, then dashboards the answers you can actually act on.
You have Power BI and it produces handsome dashboards, but leadership still doesn't trust them, because the data behind them comes from systems that disagree. The ERP says one revenue figure, the job spreadsheet says another, and margin per job, the number that would tell you which work you underprice, isn't anywhere clean enough to chart. So the dashboards show activity, not truth, and decisions still get made on gut.
This traces straight back to the Glasgow estimating habit: jobs quoted from old quotes and never properly costed, so there's no reliable margin data to visualise in the first place. Tableau and Looker can't fix that, they're presentation layers, not the missing model. When the data foundation is broken, a prettier dashboard just makes the wrong number more convincing. The work is in unifying and trusting the data, then the visualisation is the easy part.
The case for owning your business intelligence dashboards
You build custom when the problem is the data model, not the chart, and you need a trusted single source before any dashboard means anything. A Glasgow build unifies your ERP, CRM, job costing, and Xero into one reconciled model, surfaces real margin per job, and only then dashboards the answers, who you underprice, what wins, where margin leaks. For a firm whose pricing problem starts in the data, that foundation is the whole value. It draws from your ERP, accounting, CRM, and project management systems.
What your build should include
Business Intelligence Dashboards services we deliver in Glasgow
Digital Heroes builds the full business intelligence dashboards stack for Glasgow teams. Typical engagements cover BI development, data visualization, Tableau alternative, Power BI and Looker.
Budgeting a business intelligence dashboards build in Glasgow
| Project scope | Typical cost | Timeline |
|---|---|---|
| Data unification and core dashboards | £25k to £48k | 3 to 4 months |
| Full BI platform with margin analytics | £55k to £80k | 4 to 6 months |
| Margin and quote-accuracy dashboards on existing data | £20k to £40k | 2 to 3 months |
Delivery, week by week
Exactly what you get
A BI capability where the data is trustworthy first and the dashboards second: a unified model reconciling your ERP, CRM, job costing, and Xero, true margin per job surfaced so underpricing is finally visible, and dashboards answering the profitability questions leadership actually asks, with drill-down to the underlying jobs. Automated pipelines keep it current. It draws from your ERP, accounting, CRM, and project management systems, turning four sources that disagree into one you can act on.
How to choose a developer in Glasgow
Choose a developer who spends the first conversation on your data sources, not your colour palette. The good ones know the value is in unifying and trusting the data; the weak ones sell dashboard design over a broken foundation. Glasgow buyers value substance, so favour the firm that says a prettier chart won't fix bad inputs. Ask how they reconcile disagreeing systems, confirm margin-per-job is the target, and make sure drill-down from headline to source job is part of the build.
- One reconciled data model your leadership actually trusts, instead of dashboards that disagree
- True margin per job surfaced, so you can finally see which work you underprice
- Dashboards answering profitability questions, not just showing activity and revenue
- A single source drawn from ERP, CRM, job costing, and Xero, kept in sync
- Decisions made on evidence, with the data foundation fixed before the visualisation
- Most of the cost and effort is in data unification, which is unglamorous and invisible to users
- Dashboards are only as good as the source data; bad inputs still need fixing upstream
- You own the data pipelines and their maintenance as source systems change
- If you only need to visualise one clean source, off-the-shelf Power BI is cheaper and enough
- !They lead with chart design before asking about your data sources; ask how they reconcile disagreeing systems
- !No data-unification plan; ask where the single trusted source comes from
- !They promise insight without fixing inputs; ask how bad upstream data is handled
- !No drill-down from headline to source; ask how a number traces back to its jobs
- !Only a Tableau or Power BI reseller story; ask for a data-model build, not just dashboards
Teams investing in business intelligence dashboards in Glasgow usually scope it next to helpdesk & ticketing, erp, custom software, since these systems share data and budgets.
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
Why won't Power BI alone solve this?
Power BI visualises whatever you feed it, but your data lives in systems that disagree, so it charts numbers nobody trusts. The real work is unifying the ERP, CRM, job costing, and Xero into one reconciled model, then the dashboard is the easy part.
Why can't we see margin per job today?
Because the data is scattered and jobs are often quoted from old quotes and never properly costed. There's no clean margin figure to chart. A custom build fixes the data model so margin per job becomes real and visible.
Can we build dashboards on our existing data?
If one source is already clean, yes, margin and quote-accuracy dashboards on existing data run £20k to £40k in 2 to 3 months. If your sources disagree, the unification work comes first, and a good developer will tell you which situation you're in.