4PS Construct migration

Clean your purchase data before your 4PS Construct migration

4PS Construct is built on Microsoft Dynamics 365 Business Central, and moving onto it means your project and purchase data has to fit Business Central's data model, not just 4PS's older structures.

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Senden Sie ein repräsentatives Sample Ihrer Rechnungszeilen — bis zu 200 Zeilen oder ein paar Rechnungen (max. 10) — und wir klassifizieren sie, um Ihnen genau zu zeigen, wie es funktioniert. Ohne Kosten, ohne Verpflichtung.

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4PS Construct

Where the data breaks

  • Project and purchase data has been built up per project and per office, so the same supplier or material can look different depending on which project entered it.
  • Materials and subcontractors are described inconsistently, which makes it hard to compare costs across projects.
  • Comparing costs across projects is hard when the underlying categories were never standardised in the first place.

What it costs to leave it

Bad data doesn't stay behind when you migrate. It gets carried into the new system, where it causes extra test runs, a delayed go-live, and spend reports nobody trusts once the dust settles.

The migration journey

Where this fits in your migration

1

Plan and choose a partner

The business case is agreed and an implementation partner is chosen.

2Pearstop

Assess the data

What exists, what to move, and what state it is in. Pearstop starts here, by checking and classifying your purchase and supplier data.

3Pearstop

Design the new system

Processes, fields and how old data maps to new. Pearstop maps the cleaned data to the new system's fields.

4Pearstop

Test the move

Before go-live, your partner tests the move by loading the data into a trial version of the new system, often several times. We hand over the cleaned data in the format the new system imports, so those tests don't fail on bad records.

5

Go live

The new system goes live for your teams.

6Pearstop

Run

New invoices stay classified, so reporting doesn't slip back.

A mid-sized migration often takes six to twelve months; larger SAP and Oracle programmes often run a year or more. Data problems usually show up during the test runs, when there is least time to fix them.

Finance and procurement

Your teams, who own the data.

IT

Keeps systems, access and integrations running through the move.

Implementation partner

Sets up the new system.

Pearstop

Cleans and classifies the data.

The data that matters in a 4PS Construct migration

  • Project costs, which need a consistent structure to be comparable once they're in Business Central.
  • Suppliers and subcontractors, where duplication across projects and offices is common.
  • Materials, which are usually described differently from project to project.

What good data looks like

  • One record per supplier, with no duplicates across entities.
  • Every spend line labelled to one standard (UNSPSC or your own).
  • Item and material descriptions written the same way.
  • Units of measure consistent.
  • Inactive suppliers and items flagged, not migrated.
  • Every field mapped to the new system and documented.
  • Suppliers de-duplicated across projects.
  • Purchase lines classified per project, on one shared standard.

How Pearstop handles it

The data doesn't need to be clean first. AI classification handles the clear cases, and a person reviews anything uncertain. UNSPSC labels are mapped to 4PS Construct's fields, in the format your migration needs. New invoices stay classified after go-live, so reporting doesn't slip back into the same mess.

Work with your partner

Most migrations run through an implementation partner. We work alongside them, or directly with you. Your partner sets up the new system; we give them clean, classified data in the format their import tools need. Nobody's scope changes, and your partner's team can spend their time on the new system instead of fixing records.

Why start early

Bring us in when you assess the data, not after the first test run fails. You find duplicates, free-text lines and missing categories while there is still time to fix them, nothing has to be cleaned twice, and the test runs go faster because the data goes in cleanly. Some problems only show up once you look closely at how the data behaves, which is why it pays to work with someone who handles this data every day.

FAQ

Frequently asked questions

What should construction companies clean before moving to 4PS Construct?

Supplier, subcontractor and material records across every project first, since 4PS Construct runs on Business Central's data model, and inconsistent project-level data won't automatically become comparable just by moving into a new system.

Send us 200 lines

We'll classify a sample of your purchase data and send it back so you can see what good data looks like before you commit to cleaning the rest.

Senden Sie uns ein Sample

Senden Sie ein repräsentatives Sample Ihrer Rechnungszeilen — bis zu 200 Zeilen oder ein paar Rechnungen (max. 10) — und wir klassifizieren sie, um Ihnen genau zu zeigen, wie es funktioniert. Ohne Kosten, ohne Verpflichtung.

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