Financial reporting and sustainability reporting are increasingly held to similar expectations by investors and assurance providers. Yet the systems behind them often operate very differently. As sustainability disclosures become more closely linked to investment decisions, the way organizations collect and manage underlying data is becoming just as important as the disclosures themselves.

A common challenge for many organizations in the GCC is how sustainability data is collected, managed, and governed. The responsibility for capturing Environmental, Social, and Governance performance metrics is frequently delegated to a siloed corporate communications or sustainability department lacking structural authority. Because these business units operate independently from the formal corporate accounting machinery, they may not have access to the same reporting systems and controls used for financial information.

Consequently, the corporate data gathering infrastructure relies entirely on distributed, manual workflows. Environmental metrics, utility invoices, human resource headcounts, fuel consumption logs, and supply chain inputs are aggregated via manual email chains and distributed Microsoft Excel spreadsheets passed between disparate business units. These manual processes can introduce inconsistencies and make verification more difficult, including formula corruption, unverified data truncation errors, a total lack of automated audit trails, and an absence of standardized internal controls.

This becomes more challenging when organizations seek alignment with global reporting standards. Under global benchmarks like the International Sustainability Standards Board and the Task Force on Climate-related Financial Disclosures, sustainability indicators are increasingly being treated as information that supports investment, assurance, and reporting decisions. They are recognized as material inputs that influence enterprise value, credit ratings, and the cost of capital. 

When a regional corporation publishes a sustainability report compiled through manual spreadsheets, obtaining reasonable third-party assurance over those disclosures can become significantly more difficult. Independent auditors cannot verify the provenance, integrity, or historical consistency of the data points. If an international institutional investor detects unverified metrics or requires restatements of key environmental disclosures, investors and assurance providers may have difficulty relying on the information provided.

Manual Spreadsheets ──► Data Truncation ──► Assurance Failures ──► Reduced Investor Confidence

The transition to mandatory disclosure regimes across regional markets, including recent binding directives from the Oman Financial Services Authority and the Kuwait Capital Markets Authority, is increasing expectations around how sustainability data is managed. Regional regulatory authorities are converging on unified, mandatory global baselines that treat non-financial data with the exact same rigor as financial accounting. 

Listed companies should begin evaluating whether existing reporting processes can support future reporting requirements. Executives must establish a unified data platform that automates the collection of environmental and social indicators directly from primary operational systems. Sustainability data must undergo multi-layered internal audit protocols before reaching the board of directors, ensuring that every disclosed metric is verifiable, defensible, and suitable for assurance and investor reporting.

Managing financially material corporate disclosure through unverified manual spreadsheets is a challenge that boards and management teams are increasingly being asked to address.

Data Infrastructure Rules