AI dashboard development ยท UK
If a routine operational question still takes three exports and a stitched-together spreadsheet, the dashboard problem starts with the data model. Griffith's Digital Insights Ltd. builds custom business dashboards on your existing systems, with agreed KPI definitions, role-based views and reporting people can trust.
No platform migration is required. We connect the systems you already use, then build a practical view for the decisions your teams make every day.
Start with the numbers.
Daily performance
A single view for shift and management teams
Output vs plan
92%
Open exceptions
08
Orders on time
96%
Throughput by shift
Needs attention
error_outlineLate dispatch
error_outlineLine downtime
error_outlineStock variance
Sample interface only. Figures shown are illustrative.
A clearer reporting routine
A useful dashboard settles definitions before it adds charts. That gives teams the same answer when they look at the same measure.
historyBefore
task_altAfter implementation
Make time visible. During scoping, we map the hours currently spent collecting and checking reports against the decisions those hours should support. Existing reporting stays in place while the new dashboard is tested and signed off.
Built in layers
Each layer has a clear job. Expand a card for a practical example.
Connect ERP, production, warehouse, CRM, finance and spreadsheet data into a shared, modelled source.
Match order IDs across sales and dispatch records, then show open orders alongside fulfilment status.
Agree owners, definitions, targets and exception thresholds before visualisation work begins.
Define on-time delivery, including the dispatch cut-off, exclusions and the source timestamp used.
Use clear charts, comparison periods, annotations and drill-downs to investigate changes in context.
Move from a weekly scrap rate to the affected product, production line and recorded reason.
Set role-based views and schedule reports for desktop, mobile, email or a secure portal.
Send a shift summary to team leads and a consolidated variance report to managers each morning.
Connect, check, present
Dashboard implementation starts with the records you already have. We shape the data before it reaches a chart.
Identify where the numbers live and how often each source changes.
Clean records, match identifiers, standardise units and align definitions against reports your teams already use.
Publish interactive views, scheduled reports and alerts from the same governed dataset.
Keep the reasoning traceable. Data lineage, version history and access rules are documented so teams can see where a measure came from and who can view it.
Good connections begin with a clear source list.
Views by audience
One governed dataset can support different views without asking every person to work through the same crowded screen.
Show live throughput, exceptions, downtime reasons and shift performance in a format suited to a terminal or tablet.
Track weekly trends, variance against target, cost and utilisation, with drill-through to the records behind a change.
Review consolidated scorecards, margin movement, working capital indicators and period comparisons.
Scheduled distribution and threshold alerts put the relevant update in front of the right people. Commentary fields add operational context instead of sending raw numbers alone.
Role-based views keep attention on the next decision.
A planned rollout
Reviews happen at each stage, so the first time you see the dashboard isn't at launch.
Meet the people who prepare and use the current reports.
Source inventory, KPI owners, agreed definitions and priorities for the first release.
Build the pipelines and compare totals with current reporting.
Validated dataset, documented exceptions and an agreed refresh frequency.
Review layouts and interactions in working iterations.
Role-based pages, drill-down paths and feedback resolved before release.
Configure access, delivery and practical team guidance.
Access settings, report schedules, short training sessions and operating notes.
Check accuracy and usage, then plan the next reporting need.
Accuracy review, user feedback and a prioritised list for the next iteration.
Scope determines the calendar. We set dates after reviewing your systems, data quality and approval points.
Sector-specific measures
A useful KPI reflects the work behind it. We start with the measures your teams act on.
Monitor OEE, throughput, downtime, scrap and quality across lines, shifts and products.
Manufacturing analytics arrow_forwardBring inventory, order fulfilment, fleet activity and warehouse performance into view.
Supply chain analytics arrow_forwardTrack demand, stock cover, margin movement and customer value across channels.
Retail analytics arrow_forwardMonitor utilisation, pipeline, cash flow and compliance with clear period comparisons.
Financial analytics arrow_forwardTell us which reports you assemble, which systems hold the data and who needs the answer. We will use that detail to scope a practical dashboard implementation.
Based in Batley, West Yorkshire. Working with organisations across the UK.