Purchase Orders Over €20,000 Q1 2016

Spending records

Payment date^*	Supplier	Description	Kind	Amount
31 Mar 2016	201601 200006443 Dublin Bus	2016 Travel Pass Tickets for staff in the CSSO	Purchase Order	€22,440
31 Mar 2016	201601 200006479 BT	Broadband Services for the CSSO Office	Purchase Order	€24,000
31 Mar 2016	201601 200006485 Lynk	Taxi Service for the CSSO Office	Purchase Order	€25,000
31 Mar 2016	201601 200006446 Vodafone	Calls & Rental for Mobile Phones in the CSSO	Purchase Order	€30,000
31 Mar 2016	201601 200006445 eir ( Maintenance)	Eircom Calls ‐ Rental & Maintenance Contract for the CSSO	Purchase Order	€46,000
31 Mar 2016	201601 200006484 eir	Eircom Calls ‐ Rental & Maintenance Contract for the CSSO	Purchase Order	€46,001
31 Mar 2016	201601 200006442 Agency Accounts eir	Agency Staff on Loan January to December for the CSSO	Purchase Order	€72,291
31 Mar 2016	201601 200006451 Top Security	Security Staff January to August in Osmond House for the CSSO	Purchase Order	€93,218
31 Mar 2016	201601 200006450 Top Security	CSSO	Purchase Order	€93,504
31 Mar 2016	201601 200006453 Electric Ireland	the CSSO	Purchase Order	€110,005
31 Mar 2016	201603 200006600 G4S Support Services (Ireland) Ltd.	Office Cleaning January to May for Osmond House for the CSSO	Purchase Order	€21,662
31 Mar 2016	201603 200006599 Bloomsbury Professional	CSSO	Purchase Order	€27,357

^* 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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