Official UK procurement notice
Provision of External Support to Project Data Analytics
Authority: Ministry of Defence (Central government)
What is being bought
Published requirement 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.
CPV: Data analysis services
The lotProcurement structure
single lot · no lot value publishedLot #1
Procedure terms & legal framework
From the official record- Procedure method
- Award procedure without prior publication of a call for competition
- Legal basis
- CELEX · 32014L0024 Public Contracts Regulations 2015 (Directive 2014/24/EU)
- Procurement category
- Services
- Notice status
- Awarded without competition
- Procurement threshold
- Unspecified in notice
- Regulatory regime
- Standard
- Commercial structure
- Stand-alone contract (no framework)
- Competition type
- Direct award (no call for competition)
- GPA / WTO covered
- Unspecified in notice
- Recurring procurement
- Unspecified in notice
- First published
- 5 May 2022, 14:36 BST
- Last source update
- 5 May 2022, 14:36 BST
- Authority reference
703832450- FTS notice number
2022/S 000-011714- Classification (CPV)
- Delivery area
- Official registry OCID
ocds-h6vhtk-03345fFind a Tender
- Why no open competition
- The procurement falls outside the scope of application of the directive
- Published justification
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).
Commercial outcome & contract awards
Published awards, contracts and bid statistics, not a forecast| Awarded to | Value | Date | Status |
|---|---|---|---|
| Foresight Works Ltd.SMESubcontracting: declared | £200,000 † | — | Awarded |
Contracts
Provision of External Support to Project Data Analytics · Foresight Works Ltd.SME
- Signed
- 5 May 2022
- Value
- £200,000
- Status
- active
Contracting authority & participating public bodies
Bidders & participating suppliers
1 commercial party on the notice- Foresight Works LtdAwarded supplier
Official documents & specifications
Official links; attachments are not copiedNo document links were published on the notice.