ROVQIX builds custom dashboards and data visualisation interfaces — designed around the specific decisions they support, with server-side aggregation, sensible refresh strategies and performance that holds as the underlying dataset grows.
Most dashboards fail the same way: they display everything available and support no decision in particular. People look once, then never again.
Not data-first
Server-side, indexed
Charts with data tables
Because people want CSV
Establishing what decision each view supports, then removing everything that does not serve it.
Query and aggregate in the database with proper indexes, not by shipping rows to the browser.
Charts chosen for the comparison being made, not for visual variety.
Shareable filter state in the URL so a colleague sees exactly what you saw.
Colour-independent encoding, keyboard navigation and an equivalent data table for every chart.
CSV and PDF, because someone always needs the numbers in a spreadsheet for a board pack.
Because they were designed around available data rather than around a decision someone has to make.
| Unused dashboard | Used dashboard |
|---|---|
| Shows every metric available | Shows the metrics for one decision |
| No sense of good or bad | Targets and thresholds visible |
| Same view for everyone | Role-appropriate views |
| Requires interpretation | States the conclusion |
| Loads in twelve seconds | Loads immediately |
| No export | CSV export on every table |
Most slow dashboards are slow because a query that was fine at ten thousand rows is doing a sequential scan at ten million. It is usually an indexing problem, not a charting one.
| Use case | Refresh | Why |
|---|---|---|
| Operational monitoring | Real-time | Decisions made continuously |
| Sales pipeline | Every few minutes | Nobody watches it per second |
| Management reporting | Hourly or daily | Decisions are not made per minute |
| Financial reporting | Daily, after close | Accuracy matters more than freshness |
| Historical analysis | Batch | Real-time adds cost, not value |
Real-time is the most expensive default in dashboard work. We size refresh frequency to the decision, which frequently removes most of the infrastructure cost.
Use a BI tool for internal analysis by analysts who want to explore. Build custom when the dashboard is part of your product, needs your design system, or serves a specific operational decision repeatedly.
Yes. Where sources disagree we build reconciliation that surfaces the disagreement rather than silently preferring one, because a dashboard nobody trusts is worse than none.
Never encode meaning in colour alone, provide an equivalent data table for every chart, make interactive elements keyboard-operable, and ensure text alternatives describe the trend rather than the image.
We can build a report builder, but it is substantially more work than fixed views. Most teams need three well-designed views far more than they need a builder they will use twice.
Indicative ranges in USD. Every engagement is quoted to a written scope before work starts, so the number you approve is the number you pay.
$4,000 – $12,000
3–6 weeks
Best for: One well-defined view
$15,000 – $45,000
8–16 weeks
Best for: Multiple roles and views
$2,500 – $7,000
2–4 weeks
Best for: Dashboards that are slow or unused
How we think about this work, in more depth.
Dashboards
A 30-minute call, then a written proposal with scope, price and timeline within two to three working days. No retainer required to get a real number, and no obligation if the answer is that we are not the right fit.