- Country: Australia
- Summary: Engagement of Statistical Support for Defence
- AUT Ref No: 121183253
- Deadline: 15 Jul 2025
- Financier: Self Financed
- Purchaser Ownership: Government
- Tender Value: Refer Document
- Notice Type: Tender
- Document Ref. No.: ATM61428
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- Description:
- Logistics Assurance Branch (LAB) seeks to engage an Outsourced Service Provider (OSP) delivering specialist statistical analysis services for the purposes of logistical assurance sampling, specifically the execution of the National Asset and Inventory Sample (NAIS) and Military Support Items Impairment Sample (IS) from July 2025. In order to certify the statistical methodology and results over an organisation as large and complex as Defence, the OSP must have at least one person classified as an expert in the field of statistical analysis. The proposed engagement will have deliverable outcomes including the annual methodology, analysis plans and final outcomes report. It will be for a three-year period commencing from FY 2025-26, with two additional 12 months extension options, subject to Key Performance Indicators and deliverables being achieved. This will allow for consistency in adapting and refining the methodologies as ERP emerges and reaches maturation in sustainment.
Category : 81130000 - Statistics
Close Date & Time : 15-Jul-2025 12 : 00 pm (ACT Local Time) - Documents:
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CLICK HERE TO LOGINEngagement of Statistical Support for Defence - Australia Tender
The DEPARTMENT OF DEFENCE - DSRG, a Government sector organization in Australia, has announced a new tender for Engagement of Statistical Support for Defence. This tender is published on AustraliaTenders under AUT Ref No: 121183253 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2025-07-15.
The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.
