Purchase Orders Over €20,000 Q3 2017

Spending records

Payment date^*	Supplier	Description	Kind	Amount
30 Sep 2017	Havas Media	Contract July 2017 February 2017	Purchase Order	€27,000.00
30 Sep 2017	Mediavest Ltd	August 2017 Costs	Purchase Order	€32,579.99
30 Sep 2017	Barnardos	25xCarry	Purchase Order	€33,175.00
30 Sep 2017	PC Peripherals	25xToshiba Youth	Purchase Order	€38,729.63
30 Sep 2017	Mazars	Strategy Materials Development Support LGTB	Purchase Order	€39,483.00
30 Sep 2017	Persuasion	Republic Affordable Childcare Website	Purchase Order	€40,292.99
30 Sep 2017	Mazars	Head of Internal Audit Consultancy	Purchase Order	€50,184.00
30 Sep 2017	Havas Media	Radio ads for Campaign Ireland Ltd Affordable Childcare	Purchase Order	€58,945.29
30 Sep 2017	Havas Media	Ireland Ltd Affordable Childcare Media	Purchase Order	€60,956.34
30 Sep 2017	Havas Media	Outdoor Media Ireland Ltd Campaign August	Purchase Order	€68,551.59
30 Sep 2017	ESRI	Research Grant Contribution to Switch Prog 2017	Purchase Order	€95,000.00
30 Sep 2017	ESRI	Commissioned Research GUI2 May 2017 Costs	Purchase Order	€269,864.40
30 Sep 2017	ESRI	Commissioned Research GUI2 June 2017 Costs	Purchase Order	€270,106.00
30 Sep 2017	ESRI	Commissioned Research GUI2 Print Advert Newspapers	Purchase Order	€334,065.18
30 Sep 2017	ESRI	Commissioned Research GUI2 Garda Vetting April-June 2017	Purchase Order	€370,289.50
30 Sep 2017	POBAL	External Delivery of Programmes Laptops 25xDock Stations	Purchase Order	€1,648,357.00

^* 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