Payments Over €20,000 Q1 2018

Spending records

Payment date^*	Supplier	Description	Kind	Amount
31 Mar 2018	People & Process Ltd	Contracted Training	Purchase Order	€31,733.32
31 Mar 2018	Ormonde School of Motoring	Contracted Training	Purchase Order	€28,897.00
31 Mar 2018	Kilsea Ltd	Contracted Training	Purchase Order	€58,288.80
31 Mar 2018	Iskill Training Ltd	Contracted Training	Purchase Order	€58,271.29
31 Mar 2018	Irish colleges Training Centre Ltd	Contracted Training	Purchase Order	€62,855.38
31 Mar 2018	Insight Training	Contracted Training	Purchase Order	€64,616.82
26 Mar 2018	Kilkenny Electrical Wholesale	Electronic Hardware Phase 2 Training	Purchase Order	€76,846.37
26 Mar 2018	Presto Construction Ltd	Capital Works, Raheen Road	Purchase Order	€25,749.63
14 Mar 2018	Vodafone ECS	Government Networks Installation	Purchase Order	€24,600.00
16 Feb 2018	John J. Roynane	Capital Works - Project 218	Purchase Order	€24,456.57
16 Feb 2018	Paul Flynn Construction Ltd	Capital Works - Project NCP 14	Purchase Order	€29,214.90
12 Feb 2018	Education & Training Boards Ireland	Annual Subscription	Purchase Order	€42,700.00
06 Feb 2018	Unilift Ltd	Rent of Premises	Purchase Order	€57,500.00
26 Jan 2018	Irish Public bodies Mutual Insurances	Public Liability Insurance	Purchase Order	€226,319.14

^* Payment date may be the end of the reporting quarter when the entity does not publish an exact date.

How to read these figures

These are reported values from published purchase order and payment records — not verified cash paid, and not total spending by this organisation. A row may be a purchase order, a payment, or another reported transaction; the source files often do not say which.

Coverage and quality vary. Some fields are blank, supplier names are free text (the same firm can appear under many labels), and descriptions are inconsistent rather than a controlled taxonomy. An amount alone says nothing about value for money and it may or may not include VAT.

Records are retrieved from each organisation’s published files such as spreadsheets, PDFs, and other formats of uneven quality. Extraction techniques (including automated parsing) can introduce gaps, misreads, or incomplete rows when source layout or quality is poor. Treat the data as a starting point for investigation, not a definitive ledger.

Here is a project that encountered similar issues