Closed

DDaT22549-Environmental Management Cloud Software Solution

UK Research and Innovation · £500,000 · closes 6 Oct 2023

£500,000

Estimated value

Closed

Deadline

1 Sept 2023

Published

This tender has closed.

See what's open in software, or get contracts like this in your inbox each morning — free.

Set up free alertsOpen software tenders

About this contract

The final date and time for the submission of bids is Friday 6th October 2023 at 14:00pm DO NOT apply directly to the buyer. All tender information MUST be submitted through the Jaggaer eSourcing Portal. Please ensure you review all attached information to ensure a full understanding of this requirement. All attachments can be found with the Supplier Attachments tab within the Jaggaer eSourcing Portal. This contract will be awarded based on the evaluation criteria as set out in the RFP document. How to Apply: UK Shared Business Services Ltd (UK SBS) will be using the Jaggaer eSourcing Portal for this procurement. To register on the Jaggaer eSourcing portal please use the link https://beisgroup.ukp.app.jaggaer.com/ and follow the instructions to register as a supplier. If you are already registered on the Jaggaer eSourcing Portal and wish to participate in this procurement, please use the link: https://beisgroup.ukp.app.jaggaer.com/. Once you are logged into the system you will be able to locate the Procurement you wish to leave a bid on by clicking the ITTs Open to All Suppliers and searching for the reference number DDaT22549 Purpose The purpose of this tender exercise is to secure a high calibre environmental software solution that will enable UKRI to: • Undertake effective data management and reporting of our historical and current carbon emissions • Undertake effective data management and reporting of wider environmental sustainability impacts as stipulated in the GGC reporting framework (as supplied under Annex C) • Forecast and track UKRI's potential future carbon emissions to 2040 using estimated data generated by UKRI • Undertake 'What If' scenario analysis of UKRI's future carbon emissions using estimated data generated by UKRI to assess a range of possible carbon reduction scenarios to 2040. Aims UKRI intends to use the software & services provided to support a range of our strategic and operational environmental performance requirements, including: • For carbon accounting and reporting based on data from our historical and current operations • To generate future emissions forecasts using estimated data generated by UKRI from proposed future interventions into our existing operations and new infrastructure investments • To generate 'What If' future scenarios and analysis through future scenarios using estimated data generated by UKRI from alternative options for delivering proposed future interventions into our existing operations and new infrastructure investments • To use the range of emissions scenarios and forecasts generated by the platform as the evidence base to inform future net zero investment planning and decision-making • To regularly review and report on emissions by Centre/Institute, Research Council, and UKRI (the 'Users') • To conduct business analysis and future trend analysis by integrating our financial and carbon emissions data • To enable continuous improvement in the quality of UKRI data sources (and compatibility from our contractors and service Suppliers) to drive increasingly robust emissions data • To ensure UKRI's carbon reduction planning, accounting, and reporting is aligned with UK Government and global best practice, including the GHG Protocol and Science Based Targets initiative (SBTi) for example

Key dates

Published1 Sept 2023
Submission deadline6 Oct 2023 Add to calendar ↓

Source

Source notice on Find a TenderView ↗

Lot — bid on it if it fits

This contract has one lot. Bid if it suits your firm.

Purpose The purpose of this tender exercise is to secure a high calibre environmental software solution that will enable UKRI to: • Undertake effective data management and reporting of our historical and current carbon emissions • Undertake effective data management and reporting of wider environmental sustainability impacts as stipulated in the GGC reporting framework (as supplied under Annex C) • Forecast and track UKRI's potential future carbon emissions to 2040 using estimated data generated by UKRI • Undertake 'What If' scenario analysis of UKRI's future carbon emissions using estimated data generated by UKRI to assess a range of possible carbon reduction scenarios to 2040. Aims UKRI intends to use the software & services provided to support a range of our strategic and operational environmental performance requirements, including: • For carbon accounting and reporting based on data from our historical and current operations • To generate future emissions forecasts using estimated data generated by UKRI from proposed future interventions into our existing operations and new infrastructure investments • To generate 'What If' future scenarios and analysis through future scenarios using estimated data generated by UKRI from alternative options for delivering proposed future interventions into our existing operations and new infrastructure investments • To use the range of emissions scenarios and forecasts generated by the platform as the evidence base to inform future net zero investment planning and decision-making • To regularly review and report on emissions by Centre/Institute, Research Council, and UKRI (the 'Users') • To conduct business analysis and future trend analysis by integrating our financial and carbon emissions data • To enable continuous improvement in the quality of UKRI data sources (and compatibility from our contractors and service Suppliers) to drive increasingly robust emissions data • To ensure UKRI's carbon reduction planning, accounting, and reporting is aligned with UK Government and global best practice, including the GHG Protocol and Science Based Targets initiative (SBTi) for example.Value not published

Who to contact

Similar open tenders

Contains public sector information licensed under OGL v3.0