Purchase Orders Over €20,000 Q4 2023

Spending records

Payment date^*	Supplier	Description	Kind	Amount
21 Dec 2023	Indecon	Human Capital Initiative (HCI) mid-term review	Purchase Order	€41,185.00
21 Dec 2023	Mazars	Student accommodation reviews	Purchase Order	€45,693.00
18 Dec 2023	Alice PR and Events Ltd	Communications, PR and Strategic Marketing - Springboard +	Purchase Order	€27,835.00
13 Dec 2023	Bell Media Ltd	Promotional stands, magazine advertisement for National Tertiary Office	Purchase Order	€37,884.00
13 Dec 2023	Micromail	IT - Azure subscription	Purchase Order	€73,438.00
30 Nov 2023	Eversheds Sutherland	Legal advice	Purchase Order	€21,196.00
23 Nov 2023	Conradh na Gaeilge	Sponsorship of Gníomhaí Gaeilge Initiative	Purchase Order	€50,000.00
23 Nov 2023	Vidatum Technologies	IT - contractual maintenance and support	Purchase Order	€63,653.00
23 Nov 2023	BDO	Consultancy, student accommodation and acquisition by University	Purchase Order	€75,312.00
16 Nov 2023	BDO	Consultancy, financial system review and acquisition by University	Purchase Order	€30,588.00
26 Oct 2023	BDO	Consultancy, student accommodation project	Purchase Order	€34,747.00
19 Oct 2023	Mazars	HCI system audits	Purchase Order	€74,649.00
12 Oct 2023	Mazars	Review of HEI (Higher Education Institution) immediate/ongoing projects	Purchase Order	€23,433.00

^* 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