Tender Summary: Statistical Software for Data Analysis Training

Objectives

The primary objective is to deliver specialised training to Brand South Africa’s researchers and professionals in statistical software for data analysis. The programme aims to equip participants with practical, hands-on capabilities to efficiently clean, model, and interpret large datasets, thereby strengthening the organisation’s evidence-based decision-making and national reputation management functions.

Scope of Work

• Curriculum Coverage: Training spans data preprocessing (handling missing values, variable creation), descriptive statistics (means, medians, standard deviations, ranges), inferential testing (t-tests, ANOVA, multivariate analysis), predictive modelling, and visual data reporting.
• Skill Tiering: Content is structured across three competency levels: basic (foundational statistics and simple visualisation), intermediate (advanced modelling and task automation), and advanced (complex multivariate analysis and strategic interpretation).
• Deliverables: Completion of a structured short course culminating in the issuance of an accredited NQF certificate to all attendees who successfully finish the programme.
• Supervision & Compliance: Service delivery will occur under the direct supervision of a Brand South Africa representative, requiring strict adherence to the organisation’s Code of Conduct and internal operational guidelines.

Technical Requirements

• Experience Verification: Bidders must provide one reference letter on official client letterhead confirming prior experience in delivering statistical software or data analysis training.
• Facilitator Credentials: The proposed trainer’s CV must demonstrate a minimum of one year of technical and professional experience in statistical software for data analysis.
• Financial Submission: A detailed budget breakdown is required using the prescribed pricing schedule. Line items must be quoted VAT-exclusive, while the total contract price must be VAT-inclusive.
• Procurement Compliance: Bidders must submit completed Standard Bidding Document (SBD) forms, a valid Central Supplier Database (CSD) report, and either a certified B-BBEE certificate or a sworn affidavit to claim preference points. Failure to provide proof results in automatic disqualification for the specific goals component.
• Evaluation Framework: Proposals will be assessed using an 80/20 scoring matrix: 80 points allocated to price competitiveness and 20 points to designated socio-economic specific goals per the Preferential Procurement Policy Framework Act.

Skills Requirements

• Software Proficiency: Demonstrated expertise in industry-standard statistical platforms, specifically SPSS, R, and SAS.
• Analytical Competency: Ability to teach data cleaning protocols, statistical programming, hypothesis testing, regression analysis, and automated reporting workflows.
• Pedagogical Capability: Strong instructional skills tailored to diverse learner proficiencies, ensuring participants can independently apply analytical techniques post-training.
• Accreditation Knowledge: Familiarity with South Africa’s National Qualifications Framework (NQF) standards to ensure course content aligns with nationally recognised competency benchmarks and qualifies for official certification.

Notes on Unusual or Complicated Terms

• NQF Certificate: Refers to certification aligned with South Africa’s National Qualifications Framework, a statutory system that classifies and validates educational achievements against standardised learning outcomes. Only accredited training providers may issue these credentials.
• PPPFA 80/20 Preference System: A public procurement scoring mechanism where 80 points are awarded based on the lowest acceptable price, and 20 points are allocated for socio-economic goals (e.g., black-owned enterprises, exempted micro-enterprises). Strict documentary proof is mandatory; missing documentation yields zero points for this category.
• SBD Forms: Standardised bidding documents mandated by South African state entities to ensure transparency, declare conflicts of interest, and formalise preference claims. Incomplete or non-compliant submissions result in immediate disqualification.