Purchase Orders Over €20,000 Q3 2014

Spending records

Payment date^*	Supplier	Description	Kind	Amount
30 Sep 2014	Marsh Ireland Limited	Professional Services	Purchase Order	€22,575.00
30 Sep 2014	ODIN Consultants Ltd	Professional Services	Purchase Order	€22,610.48
30 Sep 2014	Mason Hayes & Curran	Legal Advice	Purchase Order	€25,329.51
30 Sep 2014	William Fry	Legal Advice	Purchase Order	€25,570.37
30 Sep 2014	Mason Hayes & Curran	Legal Advice	Purchase Order	€25,786.46
30 Sep 2014	Business Recovery Services Limited	Professional Services	Purchase Order	€25,809.11
30 Sep 2014	ODIN Consultants Ltd	Professional Services	Purchase Order	€26,445.00
30 Sep 2014	Mason Hayes & Curran	Legal Advice	Purchase Order	€28,376.72
30 Sep 2014	Institute	Professional Services	Purchase Order	€35,000.00
30 Sep 2014	Mason Hayes & Curran	Legal Advice	Purchase Order	€36,581.18
30 Sep 2014	Mason Hayes & Curran	Legal Advice	Purchase Order	€40,908.26
30 Sep 2014	ODIN Consultants Ltd	Professional Services	Purchase Order	€44,956.50
30 Sep 2014	Abtran	Professional Services	Purchase Order	€48,346.23
30 Sep 2014	Abtran	Professional Services	Purchase Order	€48,349.76
30 Sep 2014	Abtran	Professional Services	Purchase Order	€48,384.44
30 Sep 2014	Abtran	Professional Services	Purchase Order	€48,441.77
30 Sep 2014	Compliance Engineering Ireland Ltd	Professional Services	Purchase Order	€49,851.90
30 Sep 2014	Office of Public Works	Professional Services	Purchase Order	€237,660.04
30 Sep 2014	McCann FitzGerald Solicitors	Legal Advice	Purchase Order	€315,630.50

^* 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