Notice Information
Notice Title
MARKET ENGAGEMENT on behalf of NHS CFA- Advanced Analytical Data Science Capability to Counter Fraud in the NHS - Delivery Partner
Notice Description
It is the NHSCFA's intention to use advanced analytical techniques underpinned by data science including machine learning, together with the integration of technology to not only help stop known frauds but predict and uncover those that have yet to occur or those that have yet to be reported or observed. By creating a data science technological capability and utilising the copious amount of data captured each day in the NHS. Harnessing the power of expertise, then actionable outcome through an evidence-based data science approach to fraud detection will not only identify novel patterns of concern but unlock the value of data meaning abuse can be detected earlier in turn protecting NHS funds from fraud. The inclusion of fraud detection techniques will also highlight patterns in data that will identify previously unseen fraud trends, therefore improving the time to action. The requirement is to secure a partner to build our advanced analytical capability and data environment. We require a partner who has supported organisations drive forward innovative data analysis to counter fraud. They will support NHSCFA to become a Centre of Excellence for analytical fraud detection and pattern identification. We are looking to start the project in October 2023 and deliver the objectives of the project by the end of March 25 Please refer to the full draft specification document for details.
Notice Details
Publication & Lifecycle
- Open Contracting ID
- ocds-b5fd17-5288f571-cb1d-40a7-a610-7698bd8f1e1c
- Publication Source
- Contracts Finder
- Latest Notice
- https://www.contractsfinder.service.gov.uk/Notice/cee8d817-0665-46b8-8d6d-2a958762f716
- Current Stage
- Planning
- All Stages
- Planning
Procurement Classification
- Notice Type
- Market Engagement Notice
- Procurement Type
- Standard
- Procurement Category
- Not specified
- Procurement Method
- Not Specified
- Procurement Method Details
- Not specified
- Tender Suitability
- SME
- Awardee Scale
- Not specified
Common Procurement Vocabulary (CPV)
- CPV Divisions
72 - IT services: consulting, software development, Internet and support
-
- CPV Codes
72316000 - Data analysis services
Notice Value(s)
- Tender Value
- Not specified
- Lots Value
- Not specified
- Awards Value
- Not specified
- Contracts Value
- Not specified
Notice Dates
- Publication Date
- 29 Sep 20232 years ago
- Submission Deadline
- Not specified
- Future Notice Date
- 9 Oct 2023Expired
- Award Date
- Not specified
- Contract Period
- Not specified - Not specified
- Recurrence
- Not specified
Notice Status
- Tender Status
- Planning
- Lots Status
- Not Specified
- Awards Status
- Not Specified
- Contracts Status
- Not Specified
Buyer & Supplier
Contracting Authority (Buyer)
- Main Buyer
- NHS SHARED BUSINESS SERVICES
- Contact Name
- Available with D3 Tenders Premium →
- Contact Email
- Available with D3 Tenders Premium →
- Contact Phone
- Available with D3 Tenders Premium →
Buyer Location
- Locality
- SALFORD
- Postcode
- M50 2UW
- Post Town
- Manchester
- Country
- England
-
- Major Region (ITL 1)
- TLD North West (England)
- Basic Region (ITL 2)
- TLD3 Greater Manchester
- Small Region (ITL 3)
- TLD34 Greater Manchester South West
- Delivery Location
- Not specified
-
- Local Authority
- Salford
- Electoral Ward
- Quays
- Westminster Constituency
- Salford
Further Information
Notice Documents
-
https://www.contractsfinder.service.gov.uk/Notice/cee8d817-0665-46b8-8d6d-2a958762f716
29th September 2023 - Early engagement notice on Contracts Finder -
https://discovery.ariba.com/rfx/17577460
Please access the procurement portal using the link https://discovery.ariba.com/rfx/17577460 to respond to the Market Engagement Questionnaire(MEQ)
Open Contracting Data Standard (OCDS)
View full OCDS Record for this contracting process
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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