Purchase Orders Over €20,000 Q2 2014

Spending records

Payment date^*	Supplier	Description	Kind	Amount
30 Jun 2014	OFFICE OF PUBLIC WORKS	Rent & Services Charges	Purchase Order	€87,210.21
30 Jun 2014	OFFICE OF PUBLIC WORKS	Rent & Services Charges	Purchase Order	€216,209.10
30 Jun 2014	UNITY TECHNOLOGY SOLUTIONS	ICT Managed Services	Purchase Order	€63,283.50
30 Jun 2014	DIRECTOR OF PUBLIC PROSECUTIONS	Electricity Charges	Purchase Order	€37,001.00
30 Jun 2014	SOUTHSIDE PERSONNEL	Agency Staff Fees	Purchase Order	€33,927.71
30 Jun 2014	ORANGE RECRUITMENT LTD	Agency Staff Fees	Purchase Order	€22,689.47
30 Jun 2014	SOUTHSIDE PERSONNEL	Agency Staff Fees	Purchase Order	€27,681.91
30 Jun 2014	HARRY WALSH & ASSOCIATES	Agency Staff Fees	Purchase Order	€27,114.86
30 Jun 2014	PREMIER RECRUITMENT INTERNATIONAL	Agency Staff Fees	Purchase Order	€27,458.91
30 Jun 2014	HAYS RECRUITMENT	Agency Staff Fees	Purchase Order	€56,949.39
30 Jun 2014	AIRTRICITY LTD	Gas Supply	Purchase Order	€22,700.00
30 Jun 2014	HAYS RECRUITMENT	Agency Staff Fees	Purchase Order	€34,273.13
30 Jun 2014	PREMIER RECRUITMENT INTERNATIONAL	Agency Staff Fees	Purchase Order	€32,958.33
30 Jun 2014	GABRIEL MC CLEAN	Consultancy Fees	Purchase Order	€118,080.00

^* 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