Government tenderRFQ-0097-26/27
Data Analysis Services Tender - Gauteng
uMalusi Council for Quality Assurance in General and Further Education and Training
Buyer
uMalusi Council for Quality Assurance in General and Further Education and Training
Delivery location
37 General van Ryneveld street, Persequor Technopark. - Brummeria - Pretoria -
Procurement method
Request for Quotation
Published
08 Sept 2026
Description
Data Analysis with R Programme.
What this tender is about
The uMalusi Council for Quality Assurance in General and Further Education and Training is inviting quotations for Data Analysis services using the R Programme. This is a Request for Quotation (RFQ) process. The services will be delivered at 37 General van Ryneveld street, Persequor Technopark, Brummeria, Pretoria. The tender will be evaluated using the 80/20 preference point system, with 80 points for price and 20 points for specific goals such as SMME status, ownership by black people, youth, women, and people with disabilities. Tenderers must submit all required documentation to claim preference points. The closing date for submissions is 11 September 2026 at 16:00.
Scope of work
- Data Analysis with R Programme services.
How to submit
- Submit tender documents to uMalusi Council for Quality Assurance in General and Further Education and Training at 37 General van Ryneveld street, Persequor Technopark, Brummeria, Pretoria.
What is in the documents
SBD 6.1 IN TERMS OF PPR2022.docx
This document is the Preference Points Claim Form in terms of the Preferential Procurement Regulations 2022. It outlines the 80/20 preference point system applicable to this tender, detailing points for price and specific goals, and requires tenderers to declare company...
The sections above were generated from the official tender notice and its documents, with the source shown beside each point. The official record takes precedence; always verify against the tender documents before you submit.
Tender documents (3)
- DOCStandard Bidding Document (SDB)4.doc
- DOCSBD 6.1 IN TERMS OF PPR2022.docx
- DOCRFQ 0097-2627-Training on Data Analysis.doc
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