By Nomsa Dlamini, Director: Programmes & Delivery at SDI Training. Originally published September 2026.
Across every African institution I have worked with in the last 18 months — national treasuries, reserve banks, donor-funded programmes, large corporate L&D functions — the same conversation keeps emerging. The HR team knows they need to build people analytics capability. They know the demand is coming from the executive committee, the board, and the strategy function. They cannot quite agree on what people analytics means in their context, what skills they need, or how to build them. This article is my attempt to frame the conversation in a way that is useful to HR leaders evaluating their 2026 capability-building plans.
The shift from HR reporting to people analytics
For most African institutions, HR reporting today is operational: headcount, vacancy rates, training hours, exit interview summaries, payroll accuracy. These reports are necessary but not sufficient. They describe what happened. They do not predict what will happen, recommend what to do about it, or measure whether the intervention worked. People analytics is the capability to do all three. It is the difference between a function that reports the past and a function that informs the future.
The capability gap is rarely about technology. Most institutions already have an HRIS that produces more data than they currently use. The gap is in the skills to ask the right analytical questions, structure the data to answer them, interpret the results in sector context, and present recommendations that survive executive scrutiny. This is a skills problem before it is a technology problem — and skills problems are tractable.
The three skills HR teams must build
1. Analytical questioning. The single most underrated skill in people analytics is the ability to frame a question that is worth answering. Most HR teams start with the data they have and look for patterns. The right sequence is the opposite: start with the executive decision you want to inform, work backwards to the analytical question that would inform it, then determine what data would answer the question. Without this discipline, people analytics produces dashboards nobody uses.
2. Data structuring. The data needed to answer most strategic HR questions already exists in the HRIS, payroll system, and performance management system. What is missing is the skill to structure it: defining the unit of analysis, joining data across systems, dealing with missing values, and constructing the cohort views that surface patterns invisible in aggregate. This is not advanced statistics — it is the disciplined application of foundational data skills to HR data, and it is the foundation of every analytical project.
3. Sector-context interpretation. A 12% voluntary turnover rate means something different in a central bank than it does in a tech firm. Without sector context, analytics produces technically correct answers that are practically misleading. The skill here is not statistical — it is contextual: knowing which patterns matter in your institution, which patterns your executive committee will recognise as urgent, and how to frame analytical findings so they drive action rather than discussion.
What good looks like in 12 months
A reasonably mature people analytics function in an African institution should, after 12 months of focused capability building, be able to do four things consistently. First, produce quarterly strategic workforce reports that inform executive committee decisions — not just describe what happened. Second, answer ad-hoc analytical questions from business leaders within 5 working days, with structured methodology and confidence intervals. Third, run at least one predictive pilot per year — flight risk modelling, internal mobility prediction, or training effectiveness attribution — that changes a real HR decision. Fourth, measure the impact of HR interventions on business outcomes, not just HR metrics.
None of this requires building a data science team. It requires building analytical capability inside the existing HR function, supported by external specialist input where needed. The investment is in training, not technology — and the return is measured in decisions informed, not reports produced.
Where to start
If you lead an HR function in an African institution and recognise any of the patterns above, the next 90 days are decisive. Three concrete moves: (1) Run a structured capability assessment of your HR team’s analytical skills — not a self-assessment, an objective diagnostic. (2) Identify three executive questions that would benefit from analytical input over the next two quarters, and structure the analytical questions that would inform them. (3) Build a 12-month capability development plan that combines structured training (instructor-led, cohort-based), peer coaching, and a real workplace application project per delegate.
SDI Training’s Programmes & Courses catalogue includes a 5-day People Analytics for HR Leaders programme in the Public Sector Reform and Development Partners tracks. Cohort dates for Q1 2027 will be published on the Training Calendar. If you would like a confidential conversation about your team’s specific context, book a consultation — we will come back within one business day with a tailored recommendation.
About the author: Nomsa Dlamini is Director: Programmes & Delivery at SDI Training. She leads the firm’s programme portfolio and delivery methodology, and is the lead instructor on the People Analytics for HR Leaders programme. Before joining SDI she was a programme director at a national reform unit, where she built the analytics function she now teaches others to build.
