Provision of Statistical Analysis and Modelling of Ireland’s Water Quality Monitoring Data

AI-generated analysis of the documents. Check the official notice and any amendments for current submission details.

1. At a glance

2. Scope of Work

The contract involves the statistical analysis and modelling of Ireland's water quality monitoring data. The contractor will be responsible for processing and interpreting large datasets to assess water quality trends and compliance with environmental standards. The scale of work includes:

• Data Collection and Management: Gathering water quality data from various sources, ensuring data integrity and consistency.
• Statistical Analysis: Applying statistical methods to analyze water quality data, identifying trends, anomalies, and compliance with regulatory standards.
• Modelling: Developing predictive models to forecast future water quality scenarios based on historical data.
• Reporting: Preparing detailed reports on findings, including visualizations and recommendations for policy and management.
• Collaboration: Working with Teagasc and other stakeholders to ensure alignment with project goals and regulatory requirements.
• Software Utilization: Using statistical software and tools for data analysis and modelling.
• Documentation: Maintaining comprehensive documentation of methodologies, processes, and findings.
• Training and Support: Providing training sessions and support to Teagasc staff on data interpretation and model usage.

The work will be conducted over a 24-month period, with key milestones and deliverables aligned with project timelines.

3. Background & buyer context

This tender is part of Teagasc's initiative to enhance the understanding and management of Ireland's water resources. The procurement aligns with national environmental policies and aims to support compliance with EU water quality directives. The project is driven by the need for robust data analysis to inform policy decisions and improve water management practices. There is no mention of an incumbent contractor, indicating an open opportunity for new bidders.

4. Eligibility & selection criteria

• Turnover requirement: Not specified for this tender.
• Insurance:
• Employer’s Liability: €13 million per claim.
• Public Liability: €6.5 million per claim.
• Professional Indemnity: €1 million per claim.
• Certifications: Not specified for this tender.
• Past experience: Minimum of two comparable projects within the last three years.
• Personnel: Not specified for this tender.
• Geographic / facility constraints: Not specified for this tender.

5. Award criteria & scoring

The contract will be awarded based on the Most Economically Advantageous Tender (MEAT) criteria, with a focus on quality and cost.

6. Submission requirements

• Method statement / response document: No named template, no page limits specified.
• CVs: Required for key personnel, no page count specified.
• Pricing schedule: Must be completed as per Appendix 2.
• Case studies: Two required, demonstrating similar project experience.
• Declarations: ESPD, Bona Fides, Tax clearance, Conflict of Interest.
• Mandatory site visit: Not specified.
• Submission portal: eTenders, with specific format rules for electronic submission.

7. Key dates & process

8. Contract terms that matter

The contract is for a term of 2 years with no specified extensions. Payment terms are in accordance with the Services Contract at Appendix 5. Key performance indicators (KPIs) and service level agreements (SLAs) are not detailed. Liquidated damages or penalty regimes are not specified. Intellectual property ownership and sub-contracting rules are not detailed. No parent-company guarantee or bond requirements are mentioned.

9. Risks, red flags & unusuals

The tender specifies high insurance requirements, which may limit participation to larger firms. The lack of detailed KPIs and SLAs could pose a risk in terms of performance expectations. The absence of a specified incumbent may indicate a new area of work for Teagasc, potentially affecting project continuity. The requirement for two comparable projects within the last three years may exclude newer firms.

10. SME fit assessment

This tender is suitable for firms with experience in statistical analysis and environmental data modelling. Companies should have the capacity to meet the high insurance requirements and demonstrate past project experience. Consortiums or sub-contracting are allowed, which may benefit smaller firms. Bid preparation is likely to require several days of effort, given the need for detailed documentation and case studies. The absence of an incumbent suggests a fair opportunity for new entrants.

11. Where to dig deeper

• Source RFT filename: "C4773 - Analysis of Irelands Water Quality Monitoring Data - RFT.docx"
• eTenders CFT ID: Not specified
• Contact email or clarification portal: eTenders messaging facility
• Important attachments: "Appendix 1 — Requirements and Specifications", "Appendix 2 — Pricing Schedule", "Appendix 3 — Tenderer’s Statement"