Technologies
Hands on capability in the data, AI, automation, analytics, and business platforms used by leading companies.
555-555-5555
mymail@mailservice.com
A KPI Project Legacy Initiative
More than a job. A launchpad. We bring exceptional young talent, world-class training, and deep mentorship together and place graduates into careers across the globe.

96%
Absorption Rate With Market Related Salaries
Real grads. Real jobs.
Almost every grad placed.
A programme that compounds.
Five years ago, we set out to prove that South African youth, given the right opportunity, could become world class Data, AI and Automation practitioners.
105 careers later, with a 96% absorption rate, we know the model works. Every graduate is evidence that talent here is abundant. What was missing was the runway, the structure, and the right business environment.
Now we are building that runway at scale. 2,035 careers by 2035. This is not a job placement scheme. It is a national capability movement that helps companies modernise, future fit their teams, and open real career paths for a new generation.
Young digital talent brings energy, tools, and confidence with new technology. Experienced people bring domain knowledge, judgment, and context. Together, they create the capability companies need for the new world of work.
A 96% absorption rate is not luck. It is the result of selecting the right people, training them practically, and coaching them personally until they are ready to create value in a real business environment.
Purposeful Talent
We select graduates who are hungry, coachable, curious, and ready to grow. Talent matters, but attitude, discipline, and learning agility matter just as much.
Practical Training
We select graduates who are hungry, coachable, curious, and ready to grow. Talent matters, but attitude, discipline, and learning agility matter just as much.
Personal Coaching
We select graduates who are hungry, coachable, curious, and ready to grow. Talent matters, but attitude, discipline, and learning agility matter just as much.
We teach the theory graduates need, then move quickly into research, real data, practical case studies, technology, and presentations. The goal is not simply to know more. It is to solve real business problems and create value from day one.
Hands on capability in the data, AI, automation, analytics, and business platforms used by leading companies.
Practical concepts from proven frameworks, including data analysis, project management, process improvement, root cause analysis, and problem solving.
Professional behaviours that help graduates communicate clearly, take ownership, present confidently, and perform effectively from day one.
Graduates build practical capability across a broad technology stack, with deeper specialisation based on their role, client environment, and business needs.
Graduates learn to analyse data, build dashboards, automate reporting, model information, and turn complex data into clear business insights.
Power BI
Qlik
Tableau
Excel
Graduates learn to use leading AI platforms to research, analyse information, improve processes, build practical agents, and create solutions suited to the client's technology environment.
Microsoft Copilot
Claude
OpenAI
Graduates use low code platforms to digitise processes, manage tasks, improve collaboration, build trackers, automate workflows, and create greater visibility across teams.
Smartsheet
Monday.com
SharePoint
Graduates gain exposure to budgeting, forecasting, financial reporting, modelling, and performance management technology.
Prophix
Excel
We take the most useful concepts from proven business methodologies and apply them to real problems, processes, data, and decisions. We do not teach every methodology in full. We focus on the practical concepts graduates can use immediately in the workplace.
Planning, scope, ownership, milestones, dependencies, and disciplined execution, supported by clear tracking of risks, actions, issues, and decisions.
Structured thinking, insight generation, trend analysis, comparison, and decision support.
Requirements gathering, problem definition, stakeholder needs, business context, and solution thinking.
Work breakdown structures, process mapping, roles and responsibilities, controls, handovers, bottlenecks, and process improvement.
Using structured techniques to define problems, identify underlying causes, test assumptions, and solve the right problem.
Balanced Scorecard, KPIs, OKRs, goal alignment, performance measurement, and accountability.
Waste reduction, quality improvement, process optimisation, root cause thinking, and continuous improvement.
Structured solution design, testing, deployment, adoption, support, and continuous refinement.
Technical capability alone is not enough. Graduates are coached to communicate clearly, take ownership, work with others, and perform confidently in a professional environment.
Accountability, professionalism, discipline, resilience, self awareness, and continuous improvement.
Initiative, ownership, collaboration, influence, decision making, and business awareness.
Clear written and verbal communication across business, technical, and leadership teams.
Presenting insights, dashboards, recommendations, and business cases with clarity and confidence.
Every cohort is designed around the client’s environment, technology stack, and capability priorities. This example shows the outcomes from a Data Analytics stream focused on practical analysis, business insight, visualisation, and confident presentation.
Other cohorts may place greater emphasis on AI, automation, process digitisation, FP&A, or a combination of these capabilities.
Diagnose, clean, and structure messy datasets.
Standardise formats and calculate rolling metrics.
Turn raw numbers into insight narratives.
Apply 5 Whys to spot performance gaps.
Pick charts using a 4-step framework.
Quantify gaps and prioritise with RAG tags.
Measure absolute and percentage shifts.
Surface top performers with drill-down logic.
Measure how product and segment mix shape metrics.
Compare metrics side-by-side for variance.
Identify the 20% factors driving 80% results.
Spot relationships using scatter plots.
Benchmark tracking via the 5M method.
Analyse hybrid operational business models.
Deliver concise insights to executive leadership.
Speak to live datasets with real advice.
Plan, prioritise, and ship features under pressure.
Every cohort is designed around the client’s environment, technology stack, and capability priorities. This example shows the outcomes from a Data Analytics stream focused on practical analysis, business insight, visualisation, and confident presentation.
Other cohorts may place greater emphasis on AI, automation, process digitisation, FP&A, or a combination of these capabilities.
Diagnose, clean, and structure messy real-world datasets for reliable analysis.
Standardise date formats and calculate YTD, PYTD, rolling averages with confidence.
Turn raw numbers into clear Problem → Insight → Action narratives.
Apply the 5 Whys and segmentation to find the real drivers behind performance gaps.
Pick the right chart from 21 options using a repeatable four-step framework.
Quantify gaps between actuals and targets, then prioritise with RAG indicators.
Measure absolute and percentage shifts across like-for-like periods and dimensions.
Surface top performers and track ranking shifts with dynamic, drill-down logic.
Measure how product, region, and segment mix shape the bigger business picture.
Compare entities and metrics side-by-side to expose meaningful differences.
Identify the 20% of factors driving 80% of results — then drill into 16/64.
Spot relationships, outliers, and trends using scatter plots and dual-axis views.
Benchmark performance against Mean, Median, Min, Max, and Mode (5M method).
Analyse product, service, and hybrid business models and their financial drivers.
Deliver concise, structured insights and hold composure under tough questions.
Speak to live data on the fly, handle challenges, and offer real recommendations.
Plan, prioritise, and ship weekly deliverables under realistic business pressure.
Graduates go beyond dashboards. They help build internal systems, automate manual work, improve processes, connect information, strengthen controls, build and deploy practical AI agents, tune and optimise them, and turn business needs into working solutions.
Help design practical internal systems that coordinate work, capture information, guide users through processes, and provide clear visibility of progress and ownership.
Identify repetitive activities and build practical automations that reduce effort, improve consistency, minimise errors, and free people to focus on higher value work.
Design, build, deploy, test, tune, and improve AI agents that support specific business tasks, knowledge needs, decisions, and processes.
Build sign offs, approvals, checklists, audit trails, reminders, and escalation steps into everyday processes so that important controls are not dependent on spreadsheets or memory.
Build simple integrations that move information between platforms, reduce duplicate capturing, and make the right information available where it is needed.
Turn complex ways of working into clear process maps, work breakdown structures, roles, handovers, controls, and data flows that teams can understand and improve.
Identify missing, duplicated, inconsistent, or poorly structured data, then help clean, standardise, document, and strengthen the information used across the business.
Engage stakeholders, understand the real problem, define what information and functionality are needed, and turn business requirements into practical working solutions.
the 2035 goal
The gap between where we are and where we’re going is the invitation. Every career we add is a family changed, a community lifted, and a global employer that wins.
Since 2014, a number of organisations have given young South African talent the opportunity to learn, contribute, and grow in a real business environment. Some hosted graduates. Some supported training. Some helped us test and strengthen the model. Each played a part in the journey that has brought us to this point.








From the managers
Hear from the managers and mentors at our host companies — the people who worked alongside our graduates and saw the difference firsthand.
Head of Finance Operations
ABSA
Data & Analytics Lead
Clientèle
FP&A Manager
PROPHIX
Reporting & Insights Manager
AECI
Placeholder names & videos — real manager interviews coming soon
the 2035 goal
Real work samples from real graduates. The dashboards, automations, and analyses they built — side by side with where they started. Drop your email and we'll send the full results pack.
Get the results pack
One email. Real work samples. No fluff.
No spam. Just one email with the work samples.
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Graduate Story
Whether you host a cohort, sponsor a graduate, or introduce us to the right organisation, you can help build South Africa’s next generation of Data, AI and Automation talent.
Swipe, tap a card to read more, and pick the path that fits. Every one of them moves us closer to 3,500.

Embed high potential graduates into your team while building practical Data, AI and Automation capability inside your business.

Fund the training and development of a talented graduate and help create a sustainable career. Your sponsorship covers training...

Know someone with talent, curiosity, and drive? Introduce them to an opportunity that could change the direction of their career.

Are you curious, driven, and ready to work hard? Apply to join the next generation of Data, AI and Automation practitioners.

Share this page with someone who can host, sponsor, refer, or open a door. One introduction could help create the next career.
KPI Project Legacy
An initiative by KPI Management Solutions to ignite 2,035 data science careers for young South Africans by 2035.
Office
Address:
Design Quarter,
128 Leslie Ave, Fourways,
2191
Email us
All Rights Reserved | KPI Management Solutions | Privacy Policy