Finance Leaders Discuss Data and AI Value

Experts at the 2026 Finance Indaba explored strategies for converting organisational data and AI into business value.

Updated on Oct. 27, 2026 in Corporate Finance

Finance Leaders Discuss Data and AI Value

Live Poll

Should companies prioritize customer trust over using collected data to increase their profitability?

At the 2026 Finance Indaba, financial leaders examined how organisations can better utilise data and AI to drive business value. The discussions highlighted the critical role of technology in scaling data processes to inform strategic decision-making.

Why it matters

Companies are increasingly focusing on operational efficiency and the identification of new revenue streams to bolster their bottom lines. Understanding evolving customer needs through data analysis remains a key component for managing risks and maintaining a competitive edge.

Finance teams are utilising technology to aggregate large data sets for financial reporting and insight delivery. Organisations apply assurance processes to raw data once, making it available for enterprise-wide use.

The players

Deon Raju

Deon Raju serves as the group financial director at Absa.

Lumka Masiza

Lumka Masiza acts as the CFO at Everllence.

Tendani Sikhwivhilu

Tendani Sikhwivhilu is the VP of group corporate finance at Massmart.

The details

Panelists at the 2026 event emphasised that finance teams must leverage audited data to effectively inform high-level business decisions. Furthermore, industrial applications of data analysis allow for improved machine efficiency and a reduction in overall input costs.

Timeline

  1. The Finance Indaba took place in 2026.

Market Dynamics

The 2026 Finance Indaba serves as a primary forum for South African financial professionals to benchmark their digital transformation progress against industry peers. This focus on data-driven strategy reflects a broader shift toward integrating AI and automation into core financial operations.

Investors should note that companies effectively leveraging data and AI for operational efficiency may demonstrate improved long-term profitability and risk management. These advancements can impact personal portfolio allocations as businesses seek to maintain competitive market advantages.

The takeaway

Organisations that prioritise the integration of audited data into their decision-making processes are better positioned to reduce input costs and identify new revenue opportunities. Leaders should focus on implementing robust assurance processes early to ensure data is enterprise-ready.

Further reading

For more insights on regional financial trends, visit the Corporate Finance section.

Source note: This article includes information reported by CFO South Africa.

Live Poll

Should companies prioritize customer trust over using collected data to increase their profitability?