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Tuesday, 23 June 2026
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NEWS / Data Desk

Africa’s ESG Data Skills Gap Could Slow the Reporting Transition

Boards can approve sustainability ambitions, but companies still need people who can collect, test, interpret and defend the data.

By Paul Wafula | June 16, 2026 | Data Desk
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At a glance

• Mandatory sustainability reporting is moving from voluntary narrative to market disclosure discipline.
• Boards, finance teams and audit committees need data systems before the first reporting cycle.
• Assurance readiness is now as important as the final report.

The reporting problem is a skills problem

Sustainability reporting sounds like a boardroom issue, but much of the work happens at the data level. Someone must collect energy bills, fleet records, supplier information, HR data, safety logs, procurement records and risk registers. Someone must check that the information is complete and defensible.

Many organisations are discovering that they do not have enough people trained to do this work well.

Why this matters

Boards can approve sustainability ambitions, but companies still need people who can collect, test, interpret and defend the data.

ESG data is messy by nature

Financial data has mature systems, controls and audit trails. Sustainability data is often scattered across spreadsheets, emails, branches, factories, suppliers and operational teams. Definitions are inconsistent. Ownership is unclear. Evidence can be missing.

This is why sustainability teams cannot work alone. Finance, operations, procurement, human resources, legal, risk and internal audit all need to participate.

The new skill set

The market needs professionals who understand reporting standards, data governance, emissions measurement, internal controls, assurance expectations and business strategy. These are hybrid skills. They sit between finance, risk, operations and communication.

Universities, professional bodies and employers should move quickly. The demand curve is already rising.

Technology helps but cannot replace judgement

Software can organise data, automate collection and improve dashboards. But technology will not decide what is material, whether a figure is reasonable or whether a disclosure is misleading. Those questions require trained judgement.

Companies that buy tools before fixing ownership and controls will simply automate confusion.

What good preparation looks like

A serious organisation should map data owners, define metrics, train staff, test evidence trails and run dry reporting cycles before deadlines arrive. Waiting until the reporting season will turn a manageable transition into a scramble.

Questions for the boardroom

Who owns this risk at board and management level?
What evidence would satisfy an external assurer or investor?
Which part of the strategy, budget or operating model changes because of this issue?

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