Beyond the balance sheet: Bridging the confidence gap in corporate data

South African finance teams are still wrestling with fragmented, manual reporting systems that slow decision-making and erode trust in their numbers. This growing confidence gap in corporate data is quietly shaping how organisations measure performance, act on insight and define value.

During a panel discussion at the recent SAICA iN-FOR_sight Summit, sponsored by Finnivo (a renowned financial planning and analysis solution used by several notable listed and state-owned organisations in South Africa), panellists explored how automation and trusted data are transforming financial leadership.

Among them was Rui Morais, CEO of Dis-Chem, who emphasised that the modern balance sheet is no longer enough on its own, but must be underpinned by continuous insight that supports innovation and strategic clarity.

That perspective aligns with the view of Ishak Kula (pictured), chief financial officer at STADIO Holdings, who believes fragmented systems are the biggest barrier to confident decision-making. “When information is fragmented, it creates complexity and error,” he said. “Businesses that grow fast often find that their systems and processes lag behind, and that kills confidence.”

For STADIO, investing in automation has not just accelerated processes but strengthened analytical rigour. “We used to take about 12 to 15 days to produce management accounts and interpret our results. We’ve halved that,” Kula shared. “It’s created not only efficiency and effectiveness, but it’s allowed people to analyse and respond appropriately.

“There’s no room for mistakes when you’re dealing with investors’ money or large-scale projects. Confidence in data gives you the freedom to move decisively.”

Automation, however, is more than a matter of speed. It represents a shift from reporting to understanding, from gathering numbers to interpreting what they mean for the organisation’s strategic direction. When data is consistent, complete and accessible, it becomes an active tool for foresight.

“Your ability to get data quickly and insightfully is critical,” said Kula. “When you have a capital expansion project of that magnitude, your investors look at you with the eyes of a hawk. You can only act confidently when the data is accurate, complete and available in time.”

Confidence in data, in this sense, is measurable. It shows up in faster decision cycles, more accurate forecasting, higher stakeholder trust and tangible improvements in return on capital. Finance teams that automate reporting are no longer chasing numbers, but are interpreting outcomes and testing strategy in real time.

The conversation around value is also evolving. Traditional metrics such as profitability, liquidity and shareholder return still matter, but they no longer tell the whole story. As organisations look to define value creation more holistically, the reliability of data becomes a core performance indicator. Data confidence allows leaders to quantify the impact of their decisions beyond compliance or quarterly results, to understand, in measurable terms, how strategy converts into sustained value.

For finance teams across sectors, the understanding that automation is not a luxury or an IT upgrade but the foundation for confidence is crucial. This confidence ensures decision-making can shift from cautious to bold, and that value creation moves beyond the balance sheet.

“The more confidence we have in our data,” said Kula, “the more confidently we can create value.”