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The JSE is committed to upskilling and developing future leaders of SA.

The JSE recognises that its success and strength depend on the quality of its employees. We are committed to fostering a culture of continuous learning and high standards of performance.  We naturally seek to empower our graduates and encourage diversity and opportunities for all.

 

The JSE Data & Digital Academy will deliver a 2-year mixed learning training course where:

  • Structured training with practical examples and an intensive two-week Boot Camp

  • 80% of the individual’s time is spent on BUA/project work (Monday to Thursday), remaining time spent on module-based training (Fridays)

  • Each module includes an optimal mix of a case study, technical, business and soft skills tailored to working level skills with a few awareness level skills

  • 9 modules were selected incl. sub-modules-practical case studies linked specific skills (i.e. cloud Fundamentals, Analytics & Viz, AI & Machine Learning, Data Engineering, Data management & Governance, Financial data Fundamentals and software design principles , art of storytelling, design thinking, etc.)

  • The academy will build on modules over the two years starting with fundamentals and advancing to more challenging modules i.e. Analysis & coding to AI & ML

  • Suggested certifications to complement the JSE needs and steerco/business area approval. Recommended certification after year 1.

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purple person

Define a Purple Person?

The idea of the “Purple Person” was first introduced by Wayne Eckerson in a 2010 blog post. It describes someone with the right mix of business and technical skills.

These individuals can bridge the gap between organizational requirements and the capabilities of how data and technology help us achieve that.  They’re not intimidated by technology and data, and willing to jump into the “belly of the beast” and do whatever is necessary to work with it in their environment.

They understand their data and use technology in their roles, but in most cases their focus is on making them useful to the organisation’s context. As our world changes at a rapid pace, due to technology, we need to develop people who can function at the intersection of where technical and the business meet.

Stepping in means that these people must understand not only the technology and data utilised, but also the business process into which they fit. Thus, these people have to be “purple,” speaking the language of both business and technology, and serving as a translator between those worlds:

Red Skills – technical acumen and data analysis
Blue Skills – business acumen and storytelling

The Proficiency Framework is a flexible skills and proficiencies framework that forms the backbone of the JSE Data & Digital Academy. The framework can be flexed to organisational and individual needs as required.

Participants will attend weekly classes, learning from industry experts while working on JSE projects that will directly impact how we operate as a business. By the end of the programme, they will have acquired the following skills:  

✅️ Advanced data and digital skills relevant to the JSE’s future.

✅️ Practical experience in using technology to drive innovation.  

✅️ A stronger, more competitive skill set for the evolving job market.  

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Introduction to the Proficiency Framework

The Framework serves as the backbone of the JSE Data & Digital Academy skills assessment and the associated training curriculum. Outlining what skills need to be displayed to be at a certain level of proficiency will:

The Framework comprises:

  • The Proficiency Levels, which is a high-level summary of proficiencies and the differences between them
  • The Skills Table is the foundational table of data skills mapped across Proficiency Level.

The Framework serves as the backbone of the JSE Data & Digital Academy skills assessment and the associated training curriculum. Outlining what skills need to be displayed to be at a certain level of proficiency will:

  • Enable the identification of those who need training for a certain skill
  • Enable post-learning intervention evaluation

The Data Proficiency Levels are intended as a validated and specific skills framework that can be adjusted to a given role by JSE teams or line managers – akin to a ‘pick and mix’. They can choose:

  • What skills are relevant for a given role profile
  • What Proficiency Levels these skills should be at for a given role profile

It is not expected that someone at a given Proficiency Level would exhibit every skill at that level

  • Someone in a certain role would more likely have a mix of skills at different Proficiency Levels.