Section one: Contracting authority/entity
one.1) Name and addresses
Ministry of Defence
Kentigern House, 65 Brown Street
Glasgow
G2 8EX
Contact
James Smith
Country
United Kingdom
NUTS code
UK - United Kingdom
Internet address(es)
Main address
https://www.gov.uk/government/organisations/ministry-of-defence
one.4) Type of the contracting authority
Ministry or any other national or federal authority
one.5) Main activity
Defence
Section two: Object
two.1) Scope of the procurement
two.1.1) Title
Provision of External Support to Project Data Analytics
Reference number
703832450
two.1.2) Main CPV code
- 72316000 - Data analysis services
two.1.3) Type of contract
Services
two.1.4) Short description
• 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.
two.1.6) Information about lots
This contract is divided into lots: No
two.1.7) Total value of the procurement (excluding VAT)
Value excluding VAT: £200,000
two.2) Description
two.2.3) Place of performance
NUTS codes
- UK - United Kingdom
two.2.4) Description of the procurement
• 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.
two.2.11) Information about options
Options: No
two.2.13) Information about European Union Funds
The procurement is related to a project and/or programme financed by European Union funds: No
Section four. Procedure
four.1) Description
four.1.1) Type of procedure
Award of a contract without prior publication of a call for competition in the cases listed below
- The procurement falls outside the scope of application of the regulations
Explanation:
Under 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).
four.1.8) Information about the Government Procurement Agreement (GPA)
The procurement is covered by the Government Procurement Agreement: No
Section five. Award of contract/concession
Contract No
703832450
Title
Provision of External Support to Project Data Analytics
A contract/lot is awarded: Yes
five.2) Award of contract/concession
five.2.1) Date of conclusion of the contract
5 May 2022
five.2.2) Information about tenders
The contract has been awarded to a group of economic operators: No
five.2.3) Name and address of the contractor/concessionaire
Foresight Works Ltd
64 New Cavendish Street
London
W1G 8TB
Country
United Kingdom
NUTS code
- UK - United Kingdom
National registration number
11330700
The contractor/concessionaire is an SME
Yes
five.2.4) Information on value of contract/lot/concession (excluding VAT)
Initial estimated total value of the contract/lot/concession: £200,000
Total value of the contract/lot/concession: £200,000
five.2.5) Information about subcontracting
The contract/lot/concession is likely to be subcontracted
Section six. Complementary information
six.4) Procedures for review
six.4.1) Review body
Ministry of Defence
Kentigern House, 65 Brown Street
Glasgow
G2 8EX
Country
United Kingdom