CCPC Payments over €20k - Q4 2017

Spending records

Payment date^*	Supplier	Description	Kind	Amount
05 Dec 2017	ESRI	Research (Outsourced)	Purchase Order	€30,750
20 Nov 2017	Carat	Media Buying Services	Purchase Order	€26,164
20 Nov 2017	Carat	Media Buying Services	Purchase Order	€43,834
18 Dec 2017	Carat	Media Buying Services	Purchase Order	€50,000
08 Dec 2017	ECC	Final Funding Payment 2017	Purchase Order	€59,651
21 Nov 2017	ESRI	CCPC Funding Price Lab	Purchase Order	€52,000
04 Dec 2017	Amarach Research	Market Research Services	Purchase Order	€37,952
18 Oct 2017	Fexco	Helpline Services	Purchase Order	€39,187
18 Oct 2017	Fexco	Helpline Services	Purchase Order	€39,187
09 Nov 2017	Fexco	Helpline Services	Purchase Order	€39,187
09 Nov 2017	Fexco	Helpline Services	Purchase Order	€39,187
05 Dec 2017	Fexco	Helpline Services	Purchase Order	€39,187
05 Dec 2017	Fexco	Helpline Services	Purchase Order	€39,187
05 Dec 2017	Fexco	Helpline Services	Purchase Order	€39,187
05 Dec 2017	Fexco	Helpline Services	Purchase Order	€39,187
18 Dec 2017	CTI Global	Business Continuity Services	Purchase Order	€21,651
18 Dec 2017	CTI Global	Business Continuity Services	Purchase Order	€21,651
04 Dec 2017	Office of Public Works	Building Service Charge	Purchase Order	€29,097
04 Dec 2017	Office of Public Works	Building Service Charge	Purchase Order	€29,097

^* 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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