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Official procurement procedure

Provision of External Support to Project Data Analytics

Data analysis services
UK
Published value
Not published
Submission deadline Not published
Lots published1
Procurement Executive Summary
AI & Search Synopsis
Generated from official OCDS record
Tenderline Synopsis: Ministry of Defence: "Provision of External Support to Project Data Analytics". Published status: complete. Published value: Value not published. 1 published lot. Submission deadline not published. See the official notice for participation instructions.
Contracting AuthorityMinistry of DefenceScope & CategoriesNot publishedSubmission Window
complete
No deadline published
Submission GatewayDirect notice routeLegal Basis & RegimeStandard procurementEstimated Value (exc. VAT)Not published
Bidder Intelligence · Authority Profile: Ministry of Defence
Market Analytics
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Derived from OCDS awards & bid statistics
Published history for Ministry of Defence. These figures describe retained records, not a forecast of bids or a measure of buyer bias.
Average Price Reduction
Not availableInsufficient comparable data
Requires at least 5 comparable procedures
Competition Density
1.5Bids / Report
78.6% of reports have one bid
Supplier ConcentrationNo estimate
Insufficient attributable awardsNo concentration estimate available
Payment Terms
Check noticePublished terms
Payment obligations depend on the applicable regime and contract. Consult the official documents.
Coverage: 30 active published awards; 14 bid reports (which may be per lot). Supplier values exclude multi-supplier awards, frameworks and DPS, and use GBP only. They are published award values, not payments. Price reduction compares single-lot, single-award, single-supplier GBP procedures with explicitly non-framework/non-DPS status; increases remain in the average. Unpublished data stays unknown. Awarded suppliers are winners, not all bidders.
Procedure terms
Contracting AuthorityMinistry of Defence
Procedure methodNot published
Procurement categoryNot published
Statuscomplete
Framework / DPSNot published
CompetitionNot published
Above thresholdNot published
Legal basisNot published
Tender period startsNot published
Clarification deadlineNot published
Electronic submissionNot published
Submission languagesNot published
Published5 May 2022, 14:36 BST
Last source update5 May 2022, 14:36 BST
Recurring procurementNot published
ClassificationData analysis services
Delivery area
UK
OCIDocds-h6vhtk-03345f
What is being bought
• Advise and peer review the Department’s optimism bias policy. Advise and peer review the Department’s approach to cost growth and cost escalation. • Introduction of a reference class forecast for Defence projects, to prevent approval of overly optimistic projects. • Conduct Reference Class Forecasting (RCF) on a minimum of 100 projects/programmes to provide benchmarking and forecasting on live and future MOD projects, enriched with RCF data from projects from around the world (e.g., US DOD). • Develop detailed RCF from comparing individual project work breakdown structures. • Identify solutions to blocks in the Department’s current data landscape that prevent end-to-end oversight of projects from Head Office to suppliers. • Run two experiments on selected and agreed MOD programmes to better understand cost and schedule gaps by mapping granular project-level data from the various fragmented systems for domains such as cost and time etc and applying pre-built unique Artificial Intelligence / Machine Learning (AI/Ml) algorithms. • Propose solutions that can help the Department move from descriptive analytics to predictive analytics with portfolio data. The above will provide the MOD with better Project Delivery Data Analytics such as: a. Enhanced LFE to support forecasting at project initiation and through life. b. Reduced cost of projects – delivering more for less. c. Reduced duplication of work across common projects. d. Improved delivery performance and confidence. e. Continuous improvement. f. Improved pan-MOD and MOD-Industry collaboration. g. Increased transparency.
What changed
From the official release history
  1. Status changed to complete
    5 May 2022, 14:36 BST
  2. Official notice release published
    5 May 2022, 14:36 BST
  3. Buyer information updated
    5 May 2022, 14:36 BST
Lots and requirements (1)
Published by the contracting authority
  • Lot 1 · #1
    Individual lot title not published
    Status not published
    Published valueNot published
    • Advise and peer review the Department’s optimism bias policy. Advise and peer review the Department’s approach to cost growth and cost escalation. • Introduction of a reference class forecast for Defence projects, to prevent approval of overly optimistic projects. • Conduct Reference Class Forecasting (RCF) on a minimum of 100 projects/programmes to provide benchmarking and forecasting on live and future MOD projects, enriched with RCF data from projects from around the world (e.g., US DOD). • Develop detailed RCF from comparing individual project work breakdown structures. • Identify solutions to blocks in the Department’s current data landscape that prevent end-to-end oversight of projects from Head Office to suppliers. • Run two experiments on selected and agreed MOD programmes to better understand cost and schedule gaps by mapping granular project-level data from the various fragmented systems for domains such as cost and time etc and applying pre-built unique Artificial Intelligence / Machine Learning (AI/Ml) algorithms. • Propose solutions that can help the Department move from descriptive analytics to predictive analytics with portfolio data. The above will provide the MOD with better Project Delivery Data Analytics such as: a. Enhanced LFE to support forecasting at project initiation and through life. b. Reduced cost of projects – delivering more for less. c. Reduced duplication of work across common projects. d. Improved delivery performance and confidence. e. Continuous improvement. f. Improved pan-MOD and MOD-Industry collaboration. g. Increased transparency.
    Contract periodNot published
    EligibilityNot published
    Options / renewalNot published
Timeline
  1. Procedure published
    5 May 2022, 14:36 BST
  2. Award active
    Not published · Not published
  3. Contract active
    Signed 5 May 2022, 00:00 BST · £200,000
Commercial outcome and competition
Awards
Foresight Works Ltd
Not published · Not published · active
Contracts
Provision of External Support to Project Data Analytics
£200,000 · signed 5 May 2022, 00:00 BST · active
Bid statisticsNo aggregate bid statistics published
Buyer and organisations in this procedure

Ministry of Defence

Contracting authority GB-FTS-50580
View buyer profile
Documents (0)
Official links; attachments are not copied
No data
No linked documents are published
Related procedures (0)
No data
No related procedures published
Planning and rationale
Planning budgetNot published
No-engagement rationaleNot published
Procedure rationaleUnder PCR Regulation 32 b) ii:- Foresight Works has pre-built unique Artificial Intelligence / Machine Learning (AI/Ml) algorithms that address MOD project delivery system objectives such as early warnings or predicting & preventing risk drivers. Foresight Works also have a unique database for reference class forecasting to compare MOD projects against various global benchmarks. Foresight Works tooling is capable of connecting to MOD datasets, but also its multiple dataset providers (SharePoint, MS Power BI, Office365, MS Project, Oracle Primavera, Oracle E-Business).