Award

GSEEH - Provide building stock data for the Green Home Grant

CAMBRIDGESHIRE & PETERBOROUGH COMBINED AUTHORITY

This public procurement record has 1 release in its history.

Award

21 Jan 2022 at 12:34

Award Notice
Summary of the contracting process

The procurement process involved the Cambridgeshire & Peterborough Combined Authority, which sought to obtain building stock data for the Green Home Grant. The tender, titled "GSEEH - Provide building stock data for the Green Home Grant," falls under the services industry, specifically related to Database services. The contract, valued at £8,000, was initiated through a tender method and has been completed, with the contract period running from 21 April 2021 to 31 May 2021. The final award was published on 21 January 2022 and is linked to University College London as the successful supplier.

This tender presents opportunities for businesses specialising in data services, particularly those with expertise in building stock data and environmental assessments. Companies that can provide comprehensive data solutions and have the capability to analyse and deliver on large datasets would be well-positioned to compete for similar contracts. The successful supplier indicates a preference for established organisations, emphasising the need for substantial experience in service delivery within this sector.

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Notice Information

Notice Title

GSEEH - Provide building stock data for the Green Home Grant

Notice Description

Purchase of London Solar Opportunity Map data and details of external wall area for 41,000 properties within London from the London Building Stock Model

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-414df5c6-fd5e-4a13-ada9-490e3053e12e
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/9dc99b9d-82e6-4ea2-af0d-d6745af2555f
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
Other -
Tender Suitability
Not specified
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

72 - IT services: consulting, software development, Internet and support

CPV Codes

72320000 - Database services

Notice Value(s)

Tender Value
£8,000 Under £100K
Lots Value
Not specified
Awards Value
£8,000 Under £100K
Contracts Value
Not specified

Notice Dates

Publication Date
21 Jan 20224 years ago
Submission Deadline
1 Apr 2021Expired
Future Notice Date
Not specified
Award Date
19 Apr 20214 years ago
Contract Period
20 Apr 2021 - 31 May 2021 1-6 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
CAMBRIDGESHIRE & PETERBOROUGH COMBINED AUTHORITY
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
ELY
Postcode
CB7 4LS
Post Town
Cambridge
Country
England
Major Region (ITL 1)
TLH East (England)
Basic Region (ITL 2)
TLH4 Cambridgeshire and Peterborough
Small Region (ITL 3)
TLH42 Cambridgeshire CC
Delivery Location
TLC North East (England), TLD North West (England), TLF East Midlands (England), TLG West Midlands (England), TLH East (England), TLJ South East (England), TLK South West (England)
Local Authority
East Cambridgeshire
Electoral Ward
Ely East
Westminster Constituency
Ely and East Cambridgeshire

Supplier Information

Number of Suppliers
1
Supplier Name

UNIVERSITY COLLEGE LONDON

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

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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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