Risikoanalyse er ikke tilgjengelig for dette landets anbud ennå. Støttes for øyeblikket: Estland, Latvia, Litauen, Polen, Frankrike, Storbritannia, Danmark, Nederland, Norge og Finland.
Få en AI-drevet vinnerstrategi skreddersydd for dette anbudet. Inkluderer sannsynlighetsscore for å vinne, viktige muligheter og utfordringer, anbefalte fokusområder for tilbudet, innsikt i konkurranseposisjonering og handlingsrettede anbefalinger for å maksimere sjansene dine.
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3 dokumenter tilgjengelig med AI-sammendrag
The University of York seeks an OfS registered strategic partner with a proven track record in global data-driven marketing, lead generation, and student recruitment to expand its online degree, short course, and micro-credential portfolio.
This document is an OCDS Release Package providing structured data about the University of York's tender for a strategic partner to manage and expand its global online education portfolio, including marketing, lead generation, and student recruitment.
The University of York seeks an OfS-registered strategic partner with a proven global track record in data-driven marketing, lead generation, and student recruitment for its expanding online portfolio, including degrees, short courses, and micro-credentials, for a contract starting June 2026.
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This tender provides a clear description of the project and detailed requirements, but significant gaps exist in legal compliance, completeness, and fairness due to missing critical information like evaluation criteria and undisclosed value.
The tender defines the procedure type and CPV code correctly, and there are no disputes. However, the reveal date is missing, making it impossible to assess the full preparation period from publication. Crucially, mandatory exclusion grounds are not explicitly mentioned, which is a significant legal oversight. The 'planning' status might explain some omissions, but based on the provided data, these are gaps.
The description of the project and the AI-extracted technical requirements are very clear, detailed, and unambiguous, providing a strong understanding of the University's needs. However, the complete absence of specified evaluation criteria is a major deficiency that significantly impacts the overall clarity for potential bidders.
Basic information like title, organization, reference, deadlines, and contract duration are well-defined. Requirements are also detailed. However, the estimated value is not disclosed, and critically, evaluation criteria are missing. The listed documents are general notices rather than comprehensive tender documents (e.g., full specification, ITT, contract terms), suggesting potential gaps in the overall package.
Fairness is significantly compromised by the undisclosed estimated value and the complete absence of evaluation criteria, preventing bidders from understanding the opportunity's scale and how their proposals will be judged. The lack of electronic submission (e-submission) can also create barriers to equal access. While requirements are specific (e.g., UK base), they do not appear overtly tailored to a single company.
The contract start date and duration are clearly specified, which is practical for planning. However, the lack of electronic submission is a significant practical drawback for bidders. The undisclosed financial value also makes it difficult for potential partners to assess the commercial viability and resource allocation required for the bid.
Dates provided (submission, contract start, duration) are logical and consistent. There are no reported disputes or suspensions. However, several key fields, such as the liable person, specific procedure codes, and the tender's reveal date, are unpopulated, indicating some inconsistencies or omissions in the structured data.
The tender explicitly highlights an 'Innovative use of AI' as a desired capability, which is a positive aspect for innovation. However, it lacks explicit criteria or focus on green procurement or broader social aspects, indicating a missed opportunity to integrate comprehensive sustainability considerations.
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