Your Derby plant manager exports four CSVs every Monday to find out last week's first-pass yield
Custom business intelligence dashboards for a Derby engineering business pull first-pass yield, on-time-in-full delivery, machine utilisation and scrap from your ERP (Enterprise Resource Planning), MES and spreadsheets into one live view. Expect $30k to $85k and 2 to 5 months. The win is the metrics that actually run a precision shop, yield, OTIF and utilisation, updated live in one place, instead of a plant manager exporting four CSVs every Monday to reconstruct last week by hand.
You run a precision-engineering operation in Derby, and the numbers that should drive it are scattered. First-pass yield lives in the quality spreadsheet, on-time delivery in the ERP, machine utilisation in the MES or nowhere, and scrap in a third place. Tableau, Power BI and Looker can visualise data beautifully, but only once it is clean and connected, and yours is neither, so the dashboard project stalls before it starts.
So every Monday the plant manager exports CSVs and rebuilds last week in a spreadsheet, and by the time the picture is clear the week is gone and the problems it would have surfaced have already cost you. In a shop where first-pass yield and OTIF directly drive whether you keep a prime happy, running the operation from a hand-built weekly export is flying a week behind the aircraft.
What breaks first in Derby
- First-pass yield, OTIF, utilisation and scrap each live in a different system or spreadsheet
- A plant manager rebuilds last week from CSV exports instead of reading a live view
- By the time the weekly picture is clear, the problems it shows have already cost you
- Power BI or Tableau stalls because the underlying data is not clean or connected
The fix: business intelligence dashboards built for Derby, not rented
Custom BI work earns its keep here because the value is not the chart, it is the pipeline that makes a precision shop's scattered, messy data trustworthy and live. Build the data layer that pulls yield, OTIF, utilisation and scrap from your ERP, MES and spreadsheets, model it correctly, and surface it live, and the plant manager stops rebuilding last week and starts running this week from a view they can trust.
What business intelligence dashboards costs in Derby
| Project scope | Typical cost | Timeline |
|---|---|---|
| Data pipeline and core operations dashboards | $30k to $55k | 2 to 3 months |
| Full BI with multi-source integration and modelling | $55k to $85k | 4 to 5 months |
| Annual support and enhancements | $8k to $20k | ongoing |
The capability list that earns its budget
What we build under business intelligence dashboards in Derby
Everything a business intelligence dashboards build here can cover: data visualization, Tableau alternative, Power BI, Looker, real-time analytics and KPI dashboards.
Exactly what you get
You get the data pipeline that makes a precision shop's scattered numbers trustworthy, then live dashboards on top: first-pass yield, OTIF, utilisation and scrap by part, cell and prime, defined once so the numbers stop being argued. The plant manager stops rebuilding last week from CSVs. It draws from your ERP, the traceability spine, inventory and project management software, giving leadership and the shop floor each the view they need at the right altitude.
How to choose a developer in Derby
Choose a team that spends most of the conversation on your data sources, not the chart colours, because in a Derby shop the hard part is making messy ERP, MES and spreadsheet data trustworthy. Insist on a real pipeline, agreed metric definitions and live updates. Avoid anyone who promises pretty dashboards without addressing the integration that makes them reliable.
- !They sell dashboards but skip the pipeline; ask how messy source data gets connected
- !No metric definitions; ask how first-pass yield is defined consistently
- !No MES or quality connection; ask where yield and scrap data comes from
- !They promise live data without integration work; ask how it stays current
- !They quote before seeing your sources; ask them to map your data flow first
Teams investing in business intelligence dashboards in Derby 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 did our Power BI project stall?
Power BI and Tableau visualise data well, but only once it is clean and connected. In most Derby shops the data is scattered across ERP, MES, quality spreadsheets and more, so the project stalls on integration. The value is in the pipeline that makes the data trustworthy, which is exactly the part a tools-only approach skips.
What metrics should the dashboards show?
The ones that run a precision shop: first-pass yield, on-time-in-full delivery, machine utilisation and scrap or concession rate, broken down by part, cell and prime. These are the numbers that tell you whether you are keeping your customers happy, and they are usually the ones currently scattered.
Why not just keep using weekly CSV exports?
Because they leave you a week behind reality. By the time the plant manager has rebuilt last week, the problems it reveals have already cost you. Live dashboards surface issues while you can still act on them, which is the whole point of the investment.