Manufacturing
Run Your Plant on Numbers, Not Hunches
Allston Yale builds manufacturing analytics for mid-market manufacturers in Texas and across the USA. We help lean IT and operations teams turn data from the plant floor, the ERP, and endless spreadsheets into a clear view of how the business is running.
01
The Data Is on the Floor, Not in a Report
Manufacturers generate enormous amounts of data and see very little of it in time to act. Machines, the ERP, and quality logs all hold the answer, but it arrives a shift or a week late. We close that gap so the numbers keep pace with the floor.
02
What Manufacturing Analytics Covers
Data analytics in manufacturing touches every part of the operation. It tracks overall equipment effectiveness and throughput on the line, scrap and quality in production, inventory and supply across the chain, and on-time delivery out the door.
Most plants do not need all of it at once. We start with the metric that is costing you most, whether that is unplanned downtime or missed shipments, and build out from a number people already argue about every morning.
03
Built for Lean Manufacturing IT Teams
A mid-market manufacturer often runs on one or two IT people stretched between the office and the floor. We build reporting that small team can own, so production visibility does not depend on a consultant being on call or a spreadsheet only one person understands.
04
From the Plant Floor to a Dashboard People Trust
Your data lives in systems like SAP, Dynamics, Epicor, or Infor, in your MES, and in sensors on the machines themselves. We bring those together, reconcile them, and turn them into a Power BI manufacturing dashboard the plant can read at a glance.
That means one version of OEE, one number for on-time delivery, and one place to look when something slips. Power BI for manufacturing puts that in front of supervisors and the plant manager without anyone running a report by hand.
05
Seeing Problems Before They Cost You
The real prize is catching trouble early. Predictive analytics in manufacturing uses the patterns already in your data to flag a machine drifting toward failure or a line trending toward scrap, so you act before the stoppage instead of explaining it afterward.
This is where Microsoft Fabric earns its place. Its real-time and event-streaming tools are built for the steady flow of machine and sensor data, turning a feed most plants ignore into an early warning you can act on.
06
Built on Power BI and Microsoft Fabric
We build manufacturing analytics on Microsoft Power BI for the dashboards and Microsoft Fabric for the data platform underneath. For the reporting craft see our Power BI consultant page, and for the platform see our Microsoft Fabric consulting page.
Most manufacturers start with Power BI done well on the metrics that hurt, then grow into Fabric as real-time data and more sources come into play. We help you tell a genuine need apart from an upgrade you can wait on.
07
What Sets Us Apart From Other Manufacturing Analytics Companies
Plenty of manufacturing analytics companies will hand you a generic dashboard and leave. We learn how your plant actually runs first, build to that, and document everything so your team keeps control long after we step back.
What working with Us Looks like
Our clients are not after a prettier wall display. They want to stop being surprised by their own numbers and start running the plant on data they trust. The reporting we leave behind is meant to be dependable enough to act on without a second look.
32%
INCREASE IN DECISION SPEED
27%
REDUCTION IN OPERATIONAL COSTS
2.4x
INCREASE DATA UTILIZATION
96%
DATA ACCURACY IMPROVEMENT
Data-Driven Demand Forecasting with Analytics Data Platform
Analytics Data Platform Facilitating a Greener Future
Common Questions
Can you connect to our ERP and MES?
Yes. We regularly pull from the major ERP and MES systems, through their databases, extracts, or interfaces, and combine that with machine and sensor data. We do not replace those systems; we make the data they hold usable in one place.
Can we get close to real-time visibility?
Often, yes. With Microsoft Fabric handling the streaming data, dashboards can refresh close to live for the metrics that need it, like line status or downtime, while slower measures update on a normal schedule. We match the speed to the decision.
Do we need Fabric, or is Power BI enough?
Power BI alone is often enough to start. If your data is manageable and not real-time, a strong Power BI model will carry you far. We bring in Fabric when streaming machine data, volume, or many sources genuinely call for it, not before.
How long until we see something useful?
A first dashboard on a priority metric, OEE, downtime, or on-time delivery, usually lands in weeks. We get one trustworthy view in front of the floor early rather than waiting to model the whole operation, then build out from there.
Talk to Us About
Your Plant
If you are running the plant on yesterday’s numbers or a spreadsheet only one person trusts, a short conversation will show what is possible. Book a time and we will walk through your data and where the fastest win is.
