Your Leeds board sees a Power BI dashboard built on numbers three systems disagree about
A custom business intelligence solution for a Leeds firm costs £30,000 to £90,000 over 3 to 6 months, with most of the value in the data layer beneath the charts. Tableau, Power BI, and Looker are excellent at visualising data, but they cannot fix the fact that your finance, CRM (Customer Relationship Management), and operational systems disagree about the numbers. Build a proper data layer when your dashboards are pretty but nobody trusts the figures.
Your Leeds firm bought Power BI and built dashboards, and they look impressive in the board pack. The trouble is the moment anyone interrogates a number, it falls apart, because finance, the CRM, and the operational systems each hold a different version of it. The dashboard visualises whichever source it was pointed at, and the figures do not reconcile. So decisions get made on charts nobody fully trusts, or worse, the dashboard gets quietly ignored.
The mistake is treating BI as a visualisation problem when it is a data problem. Tableau and Looker are brilliant front ends, but they assume clean, reconciled, trustworthy data underneath, and that is precisely what a Leeds firm running disconnected finance, legal, retail, and operational systems does not have. Until something reconciles the sources into one agreed set of figures, prettier charts just dress up the disagreement. The work that matters is the data layer the dashboard tools take for granted.
- Your systems disagree about the same numbers and dashboards are disbelieved
- Analysts stitch exports by hand each month to produce the board pack
- The same KPI means different things in different reports
- Your data is already clean and lives in one trusted system
- Off-the-shelf Power BI reads it cleanly and the figures reconcile
- Your reporting needs are simple and stable
- A reconciled data layer so finance, CRM, and operations finally agree on the numbers
- Dashboards the board trusts because the figures survive interrogation
- Automated pipelines instead of analysts manually stitching exports each month
- Metrics defined once, consistently, so the same KPI means the same thing everywhere
- Feeds from your ERP (Enterprise Resource Planning), accounting software, and CRM unified into one source of truth
- The valuable work is the unglamorous data layer, not the charts everyone wants to see
- Reconciling messy source systems takes time and patience before any dashboard improves
- You own the pipelines and their maintenance as source systems change
- If your data is already clean and one tool reads it, off-the-shelf BI is enough
The honest cost picture for Leeds
| Project scope | Typical cost | Timeline |
|---|---|---|
| Data layer plus core dashboards | £20k to £40k | 2 to 4 months |
| Multi-source reconciliation and KPI definition | £45k to £70k | 3 to 5 months |
| Full BI platform with pipelines and alerting | £70k to £90k | 5 to 6 months |
Feature priorities for Leeds teams
Business Intelligence Dashboards services we deliver in Leeds
Digital Heroes builds the full business intelligence dashboards stack for Leeds teams. Typical engagements cover embedded analytics, business intelligence dashboards, BI development, data visualization and Tableau alternative.
Exactly what you get
The data layer the dashboard tools assume you already have: pipelines that pull from finance, your CRM, and operational systems, reconcile them into one agreed set of figures, and define each metric once so a KPI means the same thing everywhere. On top sits dashboards the board actually trusts, with drill-down from a headline number to the source transaction. The result is decisions made on the numbers rather than around them, which prettier charts alone could never deliver.
How to choose a developer in Leeds
Hire a team that talks about data before it talks about charts. The right Leeds partner spends most of the project reconciling your sources and defining metrics, because that is where trust comes from. Ask how they handle conflicting figures from finance and the CRM, and how the board drills from a number back to source. They should unify feeds from your ERP, accounting software, and CRM. A pragmatic buyer should be wary of anyone promising beautiful dashboards before the data is reconciled.
Timeline: what happens, and when
- !They focus on charts, not data. Ask how they reconcile your disagreeing sources
- !No KPI definition work. Ask how they make a metric mean one thing everywhere
- !They promise dashboards in two weeks. Ask how they fix the data first
- !No drill-down. Ask how the board verifies a figure back to source
- !Vague on pipeline maintenance. Ask who keeps the data layer current
Teams investing in business intelligence dashboards in Leeds 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 don't Power BI and Tableau fix our reporting?
Because they are visualisation tools that assume clean, reconciled data underneath, which is exactly what a firm running disconnected finance, CRM, and operational systems lacks. Pointed at unreconciled sources, they produce pretty charts built on numbers that fall apart under questioning. The fix is a data layer that reconciles the sources first, which is where custom BI work actually adds value.
Isn't BI mostly about the dashboards?
No, the dashboards are the visible 20 percent. The real work, and the real cost, is the data layer beneath: pulling from multiple systems, reconciling conflicting figures, and defining each metric consistently. A team that focuses on charts is selling you the easy part and skipping the part that makes the figures trustworthy, which is the part that actually matters.
How do you make the board trust the numbers?
By reconciling the sources into one agreed set of figures and giving the board drill-down from a headline number to the underlying transactions. When a partner can click a figure and see exactly what it is built from, trust follows. Trust comes from reconciliation and traceability, not from a slicker chart, which is why the data layer is the whole point.
Can we keep using Power BI as the front end?
Often yes. The valuable custom work is the reconciled data layer beneath, and Power BI or Tableau can sit on top of it as the visualisation tool. You are not necessarily replacing the dashboard product, you are giving it clean, trustworthy data to display, which is the missing piece. A good developer is happy to use your existing front end where it fits.
What does it take to keep the data layer working?
Maintenance, because source systems change their structure and new data sources appear. The pipelines need keeping current, and the metric definitions need governing so they stay consistent. Factor an ongoing arrangement into the plan, since a data layer that drifts out of sync with its sources quietly reintroduces the very disagreement you built it to remove.