PUBLIC CONTRACT INTELLIGENCE · SOURCE-CITED

Minitab Ltd public-sector contracts

A documented starting point for researching digital and technology procurement. This page records 1 recent public award record found in the reviewed source window; it does not claim that the supplier is seeking work or that a new opportunity exists.

Source snapshot reviewed 13 November 2026 · Latest retained release 12 November 2026 · Always verify the current official record.

Recent award timeline

12 November 2026 · ocds-h6vhtk-06af46

Confirmation of Award of a Contract for the provision of software licences for digital simulation software

Buyer: NHS Wales Performance and Improvement (hosted by Public Health Wales)

Published value: Not stated in the parsed award record

Award: 1 · Source status: active

Linked lots: 1 · Suppliers on this award: 1

Published classifications: None retained in this parsed record.

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Research Minitab Ltd in digital and technology procurement

The retained evidence covers 1 distinct procurement record and 1 named buyer: NHS Wales Performance and Improvement (hosted by Public Health Wales). The latest retained publication is “Confirmation of Award of a Contract for the provision of software licences for digital simulation software”, published 12 November 2026.

Use the buyer and contract title together when researching comparable requirements. Open each official release to check the tender description, award status and lot allocation before treating this supplier as a comparable provider. This is a bounded source sample, not a complete contract portfolio.

What to check for this supplier

  • For “Confirmation of Award of a Contract for the provision of software licences for digital simulation software”, establish which deliverables NHS Wales Performance and Improvement (hosted by Public Health Wales) described and verify the award status and scope.
  • Check whether the named supplier received a direct contract or a framework position; appointment alone does not establish guaranteed revenue.
  • Compare the published requirements with your own capability profile before pursuing a similar opportunity.

Published scope and award details

The following evidence belongs to “Confirmation of Award of a Contract for the provision of software licences for digital simulation software”, published by NHS Wales Performance and Improvement (hosted by Public Health Wales). It is a historical source snapshot reviewed on 13 November 2026, not a live availability check.

Procurement procedure
Below threshold - without competition
Status on the retained award
active — a source status, not proof of an open tender
Award identifier
1
Release identifier
107740-2026
Period recorded on this award
Not stated on this retained award; check the contract details and later releases.
Suppliers named on this award
1

Notice scope excerpt

This Contract Details Notice is being issued to confirm to the marketplace that NHS Wales Performance and Improvement have awarded a three year contract to Minitab Ltd for the provision Of software licences for the Simul8 digital simulation software with a contract value of £96,927.44 (no VAT). NHS Performance and Improvement are currently using the Simul8 digital simulation software for several models and a change in system is likely to result in disproportionate technical difficulties in operation.

The excerpt describes the procurement as a whole. It does not establish this supplier’s individual deliverables or lot allocation. This excerpt may be truncated. Source wording about applications or deadlines is historical and must not be read as an invitation to bid now.

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Contracts explicitly linked to this award

These contract records reference award 1 in the same retained release. They are shown separately from the award fields. Values are not annual revenue and may cover several suppliers; no total or per-supplier allocation is inferred.

Contract 1

Linked award: 1 · Status in source: active

Contract period: 2026-10-19T00:00:00+01:00 to 2029-10-18T23:59:59+01:00

Published contract value: £96,927.44

Procurement route and comparison checks

The retained procedure is “Below threshold - without competition”. To compare a future bid with this award, locate the original notice and evaluation documents from NHS Wales Performance and Improvement (hosted by Public Health Wales); the award alone does not establish the route for a future purchase.

  • Buyer match: confirm that requirements from NHS Wales Performance and Improvement (hosted by Public Health Wales) are comparable to the buyer, location and service scale you intend to target.
  • Delivery scope: use the excerpt above to identify deliverables, exclusions and technical constraints. Verify each against the complete documents before claiming a capability match.
  • Timing: check the award-specific period above against later contract notices. A missing date is unknown; it is not a renewal signal.

This profile is an independent research aid from Team J8VEST. It is not an endorsement by, or an affiliation with, the named supplier or buyer. The sample is not the supplier’s complete contract portfolio.

Questions for a bid or market team

  • Which published requirements and lots led to Minitab Ltd being named?
  • What evidence would a supplier need for comparable digital and technology procurement?
  • Do later notices change the term, value, scope or status of these awards?

Answer these questions from the complete procurement pack and later notices. Store the source URL, publication date and exact field behind every conclusion. A supplier name in an award does not prove present capacity, customer satisfaction, future demand or revenue attributable to that supplier.

How to interpret this record

The timeline is evidence of published procurement history, not a lead score. Values can describe a lot, ceiling, estimate or whole contract and must not automatically be treated as annual supplier revenue. Framework appointment does not guarantee call-off work.

Check the original tender, lot structure, duration, modifications and termination notices. Compare several awards before calling a pattern repeatable, and label every inference separately from source facts.

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