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HISTORIC ENGLAND has floated a tender for Mobile Locational Analytics Data 2024. The project location is United Kingdom and the tender is closing on 21 Feb 2024. The tender notice number is IT-514-262-P/REF 00000262, while the TOT Ref Number is 95753766. Bidders can have further information about the Tender and can request the complete Tender document by Registering on the site.
Procurement Summary
Country : United Kingdom
Summary : Mobile Locational Analytics Data 2024
Deadline : 21 Feb 2024
Other Information
Notice Type : Tender
TOT Ref.No.: 95753766
Document Ref. No. : IT-514-262-P/REF 00000262
Competition : ICB
Financier : Self Financed
Purchaser Ownership : Public
Tender Value : GBP 50000
Purchaser's Detail
Purchaser : HISTORIC ENGLAND
Firefly Avenue Swindon Wiltshire SN2 2EH United Kingdom
Contact Person : Thomas Colwill
United Kingdom
Email :Thomas.Colwill@HistoricEngland.org.uk
Tender Details
Title : Mobile Locational Analytics Data 2024
Location Of Contract : SN2 2EH
Industry : Database systems - 48610000 Statistical software development services - 72212463 Data capture services - 72313000 Data collection and collation services - 72314000 Data analysis services - 72316000 Statistical services - 79330000
Value Of Contract : £0 to £50, 000
Description : 1.3 Description of scope/Specification 1. Historic England is looking to purchase data collected through mobile platforms and other digital hardware to produce research for the Cultural Heritage Capital Programme (CHC). We need data for informed decision-making using locational analytics from mobile devices and other sources. The successful candidate will provide data and insights on movement patterns, visitor frequency, dwell time, and where visitors are residentially from. 2. The research aims to explore the use of data from mobile devices and other sources for alternative sampling methods in economic valuation. The collected data will be used for econometric analysis and descriptive statistics. 3. There must be scope for 15 separate heritage sites to be analysed. More will be preferred. Essential data on movement patterns, visitor frequency and where visitors are res...
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