Power BI integrations · MES system

Production burns profit quietly.
Let’s see which way it leaves.

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Controllers, sensors and plant systems land in one data layer, visible in Power BI. Losses stop being a matter of instinct and become a line item with an amount. No migration, no replacing systems.

Starting point

A modern plant cannot run on instinct.

The shop-floor data usually exists already — in controllers, in SCADA, in the ERP and in the shift supervisor’s head. The trouble starts where it has to be brought together and turned into a decision.

The report arrives too late

The shift ends on Friday, the spreadsheet is ready on Tuesday. The decision concerns production that no longer exists.

Everyone counts OEE differently

Production has its 78%, the board sees 61%. The meeting turns into an argument about numbers instead of causes.

Downtime reason: “breakdown”

The most frequent stoppage code says nothing. Without a breakdown by cause there is nothing to fix.

The change in practice

What the morning stand-up looks like before and after

Drag the slider — on the right, the same stand-up after implementation.
  • Before: A spreadsheet filled in during the shift (three versions of the file in circulation). After implementation: Data straight from the machines (controllers and sensors, nothing retyped).
  • Before: Numbers from the supervisor’s memory (every department counts its own way). After implementation: One definition of OEE (the same on the floor and in the boardroom).
  • Before: Report ready three days later (the decision concerns the past). After implementation: Report in real time (state from a dozen seconds ago).
  • Before: Downtime reason: “breakdown” (nothing there to fix). After implementation: A reason with a specific code (Pareto shows where to start).
  • Shift OEE before implementation: 78% according to production, 61% according to the board. After: 74.2%, one number for everyone.

What we do

Power BI integration and an MES — one service, one product

Core service

Power BI integration

The full path of the data: from the controller signal, through the semantic model, to a report somebody genuinely opens at 6:00 in the morning.

  • One definition of each metric for the whole plant
  • No system replacement — we start from what already runs
  • The first working report in 2–3 weeks

Implementation from 8,000 PLN net.

See the service

Product

HyperVision MES

A manufacturing execution system billed per station. The core runs from day one; the rest you pick as modules.

Andon in real time OEE calculated automatically Built for IATF / GxP 12 modules to choose from

From 89 PLN per station per month.

What it changes

The work has to pay for itself in numbers

Calculator

See what your plant stands to gain

This is an assumption, not a forecast. The improvement is earned by maintenance and production — the system supplies the data that shows where those percentage points are sitting.

Net annual effect

1,355,824 PLN

After deducting the MES subscription and the Power BI implementation (Pilot package).

62% → 67%

OEE at the assumed improvement

once maintenance has acted on the findings, using the analysis tool we deliver

192 h

productive hours recovered / month

1,548 PLN

MES subscription / mo. (129 PLN per station)

< 1 mo.

payback on the Power BI implementation

Why we do this

Production burns money quietly. Our job is to show it

Losses in a plant rarely look like losses. They are three minutes of downtime nobody recorded, a changeover longer than the standard, and a batch reworked after hours.

Goal
To reach a state where every hour of a shift has an explanation — and the gap between plan and actual can be named as a specific cause, not as “a weaker week”.
Mission
To deliver a tool that sees the floor as it is and shows it without embellishment. The decision to change is made inside the plant — our part is making sure it is made on numbers rather than on instinct.
Principle
We do not sell a metric that will rise by itself. We join the project as part of the team: together we agree what to measure, together we check whether the numbers add up, and together we answer for somebody actually using them.

Where profit disappears most often

Micro-stops

Stoppages shorter than three minutes reach no spreadsheet. Over a month that is hours of production nobody counted.

Changeovers

The standard says one thing, the floor does another. Without measurement the gap has neither an owner nor a cause.

Scrap without a code

Material goes into the bin under the heading “quality”. Until there is a cause, there is nothing to fix.

A report after the fact

A summary ready on Tuesday describes production nobody can influence any more.

None of these can be fixed by a decision made off a slide. Every one of them can, however, be measured — and that is where the work together starts.

See how implementation runs

Before you ask

The questions that usually end the call

Five objections that most often end a first conversation. They are here up front so nobody has to phone in to hear them — and the full set lives on its own page.

What is the difference between an MES and a Power BI integration?+

The MES is a product that collects data on the floor at the moment events happen: orders, stoppages, scrap, reports. A Power BI integration is a service — it takes data that already exists somewhere (in the MES, ERP, SCADA or files), arranges it into one model and builds reports from it. The MES answers “what is happening on the floor right now”, Power BI answers “what did it look like over a month and a quarter”.

Do we have to replace the ERP or the systems we already run?+

No. We start from what already works — controllers, SCADA, MES, ERP, even spreadsheets. The data layer is built alongside them, not instead of them, so no existing system changes the way it works because of this implementation.

Does the subscription price cover connecting the machines?+

The amount above covers the system itself, in the subscription model. Connecting machines and company systems is a separate stage: it starts with an integration audit and is quoted separately — the scope depends on what stands on the floor and on what the ERP exposes.

Where does the data sit — in the cloud or on our servers?+

It depends on the system. Power BI runs in the Microsoft cloud, but on the plant’s own tenant — not on our infrastructure — and the data layer can be kept entirely on company servers. The HyperVision MES is always deployed on-premise, inside the plant’s closed network — with no data leaving the site and no cloud variant.

What if our data is incomplete or messy?+

That is the starting position in most plants and a normal part of the work. The kick-off workshop exists exactly to establish what can be calculated today, what is missing and what has to be measured. We come out of it with a list of metrics that can be calculated from what already exists.

Next step

Start with one report that changes the conversation on the floor

The kick-off workshop takes 90 minutes. You leave with a list of metrics your data can actually support and a quote in ranges.