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Improving Environment Data

Big Lottery Fund

This public procurement record has 1 release in its history.

Award

24 Jul 2026 at 13:32

Award Notice
Summary of the contracting process

The National Lottery Community Fund commissioned research and consultancy services to improve its environmental data. The project combines two workstreams: developing and testing a common typology for the environmental projects it funds, using machine learning to classify applications and supported activity; and improving monitoring data for its Climate Action Fund and future environmental funding across the UK portfolio. The second workstream covers reviewing monitoring requirements, assessing data capture, analysis and reporting options, refining and testing a survey tool, preparing an implementation plan, and reporting what is known about Climate Action Fund projects. The work was delivered for the Fund’s Evidence and Impact Team and other colleagues. The delivery scope covered the United Kingdom and internationally associated locations. The buying organisation is The National Lottery Community Fund, based in Birmingham. The procurement category was research and development and related consultancy services (CPV 73000000).

This procurement is complete and was awarded to CAG Consult LLP, trading as CAG Consultants. The award decision was made on 22 October 2025, for £74,937 including the stated currency of GBP. The contract ran from 28 October 2025 to 30 April 2026. The tender deadline was 8 September 2025 at 3pm. It was a services procurement using a tender process, evaluated against the requirements for the combined environmental data project. The contract was treated as suitable for small and medium-sized enterprises. The selected supplier was awarded the full stated contract value, and the award status is active. The work was structured as one project containing the environmental projects typology workstream and the Climate Action Fund monitoring data workstream, rather than as separately awarded lots. The tender status is complete.

This award demonstrates demand from The National Lottery Community Fund for suppliers that can combine environmental research, monitoring and evaluation, data strategy and practical implementation planning. A credible competitor for a future requirement would need to understand community-led environmental activity and translate varied project information into a usable classification system. Relevant capability includes applying machine learning or other analytical methods to classify funding applications, designing monitoring frameworks, reviewing survey instruments, and setting workable approaches to data capture, analysis and reporting. Experience of testing methods with programme teams and converting findings into implementation plans and evidence reports would be important. The requirement also suits a specialist consultancy or partnership bringing together environmental, data science, monitoring and impact evaluation expertise. The procurement was identified as suitable for SMEs, so a focused firm with demonstrable experience could compete alongside larger consultancies.

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Notice Information

Notice Title

Improving Environment Data

Notice Description

The National Lottery Community Fund want to better understand and communicate the wide range of activities that community organisations undertake that benefit the environment. This project will establish a sound foundation from which we can generate quality data about the environment projects we fund. An external supplier (possibly a partnership of specialist expertise) is being procured to work with our Evidence and Impact Team and others in the Fund. It will combine two related (but distinct) workstreams into one project for efficiency and synergies: A. Environment Projects Typology - This will establish a common Proof of Concept (PoC) typology for the types of environmental projects that we fund. This work will: review, further develop, and test our typology(s) of environmental projects using machine learning (AI) that classifies the nature of the work we receive applications for and support, and proposes a sound typology for the future, including considerations on how we use and improve it in the short and medium terms. B. Improve Climate Action Fund (CAF) programme monitoring data - This will create a Monitoring Framework that works for the current CAF funded projects as well as future environmental funding in our UK Portfolio. This work will review current monitoring requirements and identify future requirements; assess options for approaches for data capture, analysis and reporting; refine and test existing survey tool; create implementation plan; and complete report on what is known about CAF to date.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-426814a6-f997-4768-b54f-17f095be6fac
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/9b51c508-7b01-4548-8890-509fbae72a3a
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Not Specified
Procurement Method Details
Not specified
Tender Suitability
SME
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

73 - Research and development services and related consultancy services

CPV Codes

73000000 - Research and development services and related consultancy services

Notice Value(s)

Tender Value
£74,937 Under £100K
Lots Value
Not specified
Awards Value
£74,937 Under £100K
Contracts Value
Not specified

Notice Dates

Publication Date
24 Jul 20262 months ago
Submission Deadline
Not specified
Future Notice Date
Not specified
Award Date
22 Oct 202511 months ago
Contract Period
28 Oct 2025 - 30 Apr 2026 6-12 months
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Not Specified
Awards Status
Active
Contracts Status
Not Specified

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
Big Lottery Fund
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
BIRMINGHAM
Postcode
B15 1TR
Postcode Area
Birmingham
Country
England
Major Region (ITL 1)
TLG West Midlands (England)
Basic Region (ITL 2)
TLG3 West Midlands
Small Region (ITL 3)
TLG31 Birmingham
Delivery Location
Not specified
Local Authority
Birmingham
Electoral Ward
Edgbaston
Westminster Constituency
Birmingham Edgbaston

Supplier Information

Number of Suppliers
1
Supplier Name

CAG Consult LLP

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts.

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