Award

STEAM Economic Impact data model for Enjoy Staffordshire

STAFFORDSHIRE COUNTY COUNCIL

This public procurement record has 1 release in its history.

Award

19 May 2023 at 13:20

Summary of the contracting process

The Staffordshire County Council has awarded a contract for the STEAM Economic Impact data model for Enjoy Staffordshire to WEST MIDLANDS GROWTH COMPANY LIMITED, valued at £80,376. The procurement method used was a direct Single tender action (below threshold). The tender period ended on 30th March 2023, with the contract starting on 1st April 2023, lasting for a day in the West Midlands region, United Kingdom.

This procurement process presents an opportunity for businesses in the sales, marketing, and business intelligence software category, specifically those offering economic intelligence models. The direct procurement method and single tender action could suit small and medium-sized enterprises looking to collaborate with local authorities such as Staffordshire County Council for economic intelligence projects.

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Notice Title

STEAM Economic Impact data model for Enjoy Staffordshire

Notice Description

As part of our work to enhance two tier working with district and borough councils across Staffordshire we have developed strong links and enhanced contributions to support visitor economy activities. Our local authority partners are keen to understand their return of investment and as such we have investigated the market for economic intelligence models. The STEAM model is increasingly becoming the 'industry standard' and is adopted by many neighbouring Visitor Economy partnerships allowing for direct comparisons to be made and will also be an important evidence base for Staffordshire to promote itself as an Local Visitor Economy Partnership. Visit England as the national tourism body identifies STEAM as its preferred data platform.

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-ff7ea635-56ea-4ddd-9b7e-ac8e5cfeca1d
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/715713dc-5bb8-41d6-92a2-be041b3bbb2b
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Direct
Procurement Method Details
Single tender action (below threshold)
Tender Suitability
SME
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

48 - Software package and information systems


CPV Codes

48480000 - Sales, marketing and business intelligence software package

Notice Value(s)

Tender Value
£80,376 Under £100K
Lots Value
Not specified
Awards Value
£80,376 Under £100K
Contracts Value
Not specified

Notice Dates

Publication Date
19 May 20232 years ago
Submission Deadline
30 Mar 2023Expired
Future Notice Date
Not specified
Award Date
29 Mar 20232 years ago
Contract Period
31 Mar 2023 - 1 Apr 2023 24 hours
Recurrence
Not specified

Notice Status

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

Contracting Authority (Buyer)

Main Buyer
STAFFORDSHIRE COUNTY COUNCIL
Contact Name
Nathaniel Taylor
Contact Email
commercial.team@staffordshire.gov.uk
Contact Phone
01785854658

Buyer Location

Locality
STAFFORD
Postcode
ST16 2DH
Post Town
Stoke-on-Trent
Country
England

Major Region (ITL 1)
TLG West Midlands (England)
Basic Region (ITL 2)
TLG2 Shropshire and Staffordshire
Small Region (ITL 3)
TLG24 Staffordshire CC
Delivery Location
TLG West Midlands (England)

Local Authority
Stafford
Electoral Ward
Forebridge
Westminster Constituency
Stafford

Supplier Information

Number of Suppliers
1
Supplier Name

WEST MIDLANDS GROWTH

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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