RSA Q3 2018 Purchase Orders Over €20K

Spending records

Payment date^*	Supplier	Description	Kind	Amount
10 Jul 2018	CYCLING IRELAND	Road Safety	Purchase Order	€31,666.00
10 Jul 2018	DMT Ltd / Codec	ICT	Purchase Order	€41,694.00
10 Jul 2018	Portwest Ltd	Road Safety	Purchase Order	€93,800.00
10 Jul 2018	SGS - Societe Generale de Surveillance SA	CVR Covis and reporting	Purchase Order	€111,519.57
10 Jul 2018	SGS - Societe Generale de Surveillance SA	Contract Management Process, Digital Tachograph and Communication	Purchase Order	€129,401.88
09 Jul 2018	Geraldine Leader	Facility Management	Purchase Order	€31,295.00
05 Jul 2018	Competence Assurance Solutions Ltd	Driver Education	Purchase Order	€60,000.00
04 Jul 2018	SGS - Societe Generale de Surveillance SA	Contract Management Process, Digital Tachograph and Communication	Purchase Order	€207,196.00
03 Jul 2018	Abtran Limited	Driving Licence Operations	Purchase Order	€43,843.00
03 Jul 2018	Abtran Limited	Driving Licence Operations	Purchase Order	€131,529.00
02 Jul 2018	Rational Commerce	ICT	Purchase Order	€21,000.00
02 Jul 2018	Rational Commerce	ICT	Purchase Order	€21,000.00
02 Jul 2018	Rational Commerce	ICT	Purchase Order	€21,000.00
02 Jul 2018	Rational Commerce	ICT	Purchase Order	€21,000.00
02 Jul 2018	Aramark Workplace Solutions	Facility Management	Purchase Order	€21,550.51
02 Jul 2018	Aramark Workplace Solutions	Facility Management	Purchase Order	€26,757.34

^* 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.

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