Q1 2017 — Public Purse

Spending records

Payment date^*	Supplier	Description	Kind	Amount
31 Mar 2017	CODE PLUS LTD	QAS System	Purchase Order	€22,140.00
31 Mar 2017	MINDSHARE MEDIA IRELAND LTD	Outdoor Mussels Campaign	Purchase Order	€63,179.99
31 Mar 2017	MINDSHARE MEDIA IRELAND LTD	Print Mussels Campaign	Purchase Order	€29,517.00
31 Mar 2017	MINDSHARE MEDIA IRELAND LTD	Mussels Campaign Feb 2017	Purchase Order	€31,439.00
31 Mar 2017	MINDSHARE MEDIA IRELAND LTD	Radio Mussels Campaign	Purchase Order	€38,114.00
31 Mar 2017	MINDSHARE MEDIA IRELAND LTD	Pigmeat TV Campaign	Purchase Order	€34,446.00
31 Mar 2017	JAMES BURKE & ASSOCIATES	Supplier Development Programme	Purchase Order	€26,196.00
31 Mar 2017	ERGO OFFICE FURNITURE LTD	Office Furniture	Purchase Order	€34,617.12
31 Mar 2017	RK ROFESSIONAL FLOORING LTD	Carpet Replancement Clanwilliam Court	Purchase Order	€24,205.76
31 Mar 2017	ROBERT MITCHELL	Office Fit-out Work	Purchase Order	€46,234.99
31 Mar 2017	PROINTAL LTD	German Foodservice Market Programme	Purchase Order	€55,000.00
31 Mar 2017	CAPITA CUSTOMER SOLUTIONS	BLQAS Audits / Reviews	Purchase Order	€88,432.08
31 Mar 2017	AGRI-DATA LTD	BLQAS Audits / Reviews	Purchase Order	€112,526.55
31 Mar 2017	AGRI-DATA LTD	BLQAS Audits / Reviews	Purchase Order	€33,142.81
31 Mar 2017	AGRI-DATA LTD	BLQAS Audits / Reviews	Purchase Order	€30,310.23

^* 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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