Challenge

Know where the production number came from.

When two reports disagree, the meeting becomes a debate about the data. GTMI follows the measure back to the production event, agrees the calculation with its owner, and designs the reporting path around the decision it needs to support.

See the service for this problem

For operations and engineering teams reconciling OEE, yield, shift performance, or reports across sites.

Before the dashboard
Same measure.
Different answers?
SourceWhich event is authoritative?
Time windowWhere does the shift begin?
ExclusionsWhat counts as planned downtime?
CorrectionsHow is late data handled?
Agree the definition, then build the view
From source event to operational decision
Recognise the problem

A dashboard cannot settle an undefined measure

One team excludes planned downtime and another includes it. A shift crosses midnight but the report uses calendar days. Missing equipment values are corrected by hand with no record of the adjustment. The chart may look clear while the measure underneath remains disputed.

What GTMI would examine first

The reporting path

01

Source event

Capture the production context and timestamp.

02

Governed model

Agree calculations, exclusions, and ownership.

03

Reporting view

Show freshness, gaps, and relevant context.

04

Decision

Give the report a clear operational purpose.

Follow the number back to the event

We use a disputed or labour-intensive report as the test case. Source capture, extracts, calculations, and dashboard logic show where timing gaps, manual steps, or competing definitions enter the measure. The review also asks who uses the report and which decision it should support.

Agree the definition with its owner

The reporting brief states the source of truth, calculation, time window, exclusions, and treatment of late or corrected data. Process owners approve the business definition. GTMI then defines the data path, quality checks, and presentation needed to make that measure usable.

From review to delivery

Keep the reporting path within the agreed boundary

A reporting application should receive the data it needs through an approved interface. Depending on the source, this may use a read-only API, MQTT path, historian, or separate store. We assess access and validation boundaries so reporting changes do not introduce uncontrolled access to execution systems.

Explore the delivery scope

The service pages explain the work you can commission, the outputs and how it fits alongside your team.

How we approach this

Take a closer look at the work

See the shift reporting example

The service explains the contribution and the decisions its outputs support. Where an example is shown, it uses fictional manufacturing data.

Before we start

Do we need a new dashboard platform?

The assessment starts with the measure and its source. The right first step may be a definition change, better capture, or a governed data model using your existing reporting tools.

Can we compare performance across sites?

Only when the definitions and operating context support that comparison. The review identifies differences in time windows, exclusions, source capture, and corrections before proposing a shared view.

Start with your situation

Bring a report people keep questioning

Start with the report, its source data, and the operational decision it is meant to support. We can discuss whether the first improvement belongs in capture, the calculation, the data path, or the report itself.

Contact GTMI

Tell us briefly what you need help with. We can discuss the details and agree the next step. Supporting documents are optional and can wait until that conversation.

Prefer email or phone? Email GTMI or call +34 858 23 50 22

Your enquiry

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