Expired contract

Risk Management Information System (RMIS)

Details

Value
£10,500
Duration
2 years
Topic
Information systems
Published
23 September 2024

Tender description

The RMIS will improve the ease with which risks can be aggregated and reported on to a range of different audiences. The contract was procured via CCS framework G-Cloud 13. Contract term is 2 + 1 + 1 The initial term cost is: 10500 GBP The cost for extension (1+1) per year is 5250 GBP

Timeline

  1. Completed: Award date2 July 2024
  2. Completed: Award published23 September 2024
    Current notice
  3. Completed: Contract expiry date1 July 2026

About the buyer

The National Lottery Community Fund is a central non-departmental public body, and buys through its own procurement team. Lower-value purchases need written quotations from the budget holder, with a competitive tender run by procurement above that. Complex or high-risk requirements are always handled by the procurement team.

Over the past 5 years, most of The National Lottery Community Fund's contract awards have been in business services, research and development and IT services.

AI insights

  • Is there a preferred supplier?
  • What are the buyers pain points?
  • What has the buyer previously procured?
  • What are the key requirements?
Sign-up to enrich

Decision makers

Connect with the people behind this procurement.

Contact nameJob titlePhone numberWork email
Head of Procurement+44 •••• ••••••
Commercial Director+44 •••• ••••••
Procurement Manager+44 •••• ••••••
Category Lead+44 •••• ••••••
Senior Buyer+44 •••• ••••••
Contracts Manager+44 •••• ••••••

Related buyers

Buyers similar to The National Lottery Community Fund.

View all buyers
BuyersCountValue
  1. 2,963
    £722.7m
  2. 1,208
    £14.4bn
  3. 809
    £8.9bn
  4. 552
    £16.2bn
  5. 486
    £3.5bn
  6. 440
    £130.6m
  7. 393
    £424.6m
  8. 356
    £1.7m
  9. 319
    £340.0m
  10. 283
    £10.2bn

Finding public sector work shouldn't be hard

Make your next tender search effortless with Stotles. Set up alerts, find decision maker contacts and never miss a good-fit opportunity again.