Driving Reliable Financial and Non-Financial Metrics for Comprehensive Sustainability Reporting

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Driving Reliable Financial and Non-Financial Metrics for Comprehensive Sustainability Reporting

Enhancing Data Integrity and Transparency to Champion Corporate Responsibility

Gathering accurate and current data to support management decisions, workflow oversight, and strategic planning across business functions is currently a challenge. This difficulty is poised to escalate as sustainability reporting norms evolve and broaden further. Likewise, the relentless expansion of data in respect to variety, speed and magnitude will further amplify this complexity.

As a result, corporates will need to smartly adapt to develop a cohesive sustainability reporting strategy that integrates the required financial and non-financial metrics, and that pushes the boundaries of reporting to include non-listed suppliers. Overall, this will lead to the more comprehensive capture of detailed utility and scope emission information, as well as introducing a new area of carbon accounting in some locations.  However, who will undertake this work internally, and what challenges will need to be overcome, recognising that global legislation in this area is moving at different speeds across reporting jurisdictions.

Who will Manage Sustainability Workflows

Smaller companies may assign sustainability reporting to the CFO, while larger organizations may designate specialized ESG Controllers to manage these efforts. These differences in organizational structure make it even more challenging to establish a unified approach to incorporating financial and non-financial metrics in sustainability reporting, highlighting the need for a concerted effort to bridge the gap between domain disciplines and encourage collaboration across the organization.

Domain Strengths and Weaknesses

To achieve sustainability goals, companies must enhance data governance and tune reporting structures. Teams must collect and transform timely accurate data from multiple entities/segments, across multi-year periods, as well as providing comprehensive commentaries. Strict deadlines and ongoing management necessitate the creation of processes integrating quantitative and qualitative financial and non-financial metrics at finer granularity.

Executives must expand metric monitoring beyond financial KPIs. They must choose the best carbon strategy using domain knowledge on removal, offsets, and combinations thereof. Monitoring energy/emission/ESG metrics optimizes long-term performance.

Finance has rigorous tracking systems while sustainability teams understand non-financial impacts. Cross-functional collaboration/training enables the bridging of gaps when consolidating segmental data.

Enhancing data governance, transforming structures/processes, expanding metric monitoring, and increasing cross-functional collaboration – supported by digitization/analytics – empowers ambitious sustainability goals making sustainability data a competitive differentiator.

Bigger Picture Associated with Cross Domain Activities

It is generally reported that a large number of digital enablement initiatives fail to deliver expected results. This is typically down to creating project teams that do not contain representation from all impacted areas, and also down to not grasping the finer points associated with bringing data together from different systems and transforming it to meaningful output.

Scoping of projects, within or across domain functional areas, is also critical. Corporates typically are not well structured to undertake the latter, meaning that data processes and data collection are duplicated. This in turn points to a duplication in compute and storage resources, which in a cloud environment leads to runaway IT infrastructure costs. A current area of intense interest for senior management!

Sustainability reporting is a good rare example of where corporates are having to assess business flow change across domains, which bodes well for further cross domain reporting. Cross-departmental teams establish joint goals, metrics, and reporting protocols that accurately reflect performance and priorities. This collaboration alone, if extended to other digital projects, is a key enabler for driving next steps towards deeper value creation, not just within domains but across them.

Impact on Non-Listed Companies

Legislation, as in this case, typically starts with larger corporates simply as regulators know that, in broad terms, they have greater access to resource pools and funding to drive it forwards. Once introduced, then regulatory reporting thresholds can decrease to encapsulate smaller companies, in essence bringing all companies up to the same level.

However, one difference in recent years, based on empirical evidence, has been that larger corporates have embraced and collaborated with smaller, more innovative organisations. As sustainability strategies gather pace, and as Scope 3 Emissions are mandated into supplier contracts, existing thresholds will become fuzzier; however there can be significant upside.

Proactively reporting sustainability data, even for non-listed companies, builds credibility and trust, which benefits both attracting capital and maintaining a social license to operate. Guidelines from the International Sustainability Standards Board and other organizations are therefore, directly or indirectly, influencing sustainability reporting practices for companies of all sizes.

How to

Sustainability reporting is going to broaden your overall requirements to build extended or new qualitative and quantitative actionable contextual workflows across functional areas, which in turn will advance your overall digital enablement capabilities.

For example, procurement processes, including capex, might be extended to gather and analyse Scope 3 Emission data from suppliers. Suppliers themselves, on the other hand, will need to start building emission related data by product type (think here of multi-tiered allocations), in order to provide the finer details of Scope 3 Emission data to their customers. Additionally, HR related processes will need to be extended to gather the required extended regulatory information. All processes must be repeatable and auditable, using full or partial automation, which may include machine learning capabilities.

Depending on jurisdiction, and final legislation, process capabilities will need to handle the finer points of carbon accounting. This will include segmental net present value calculations, and the ability to rank and explain the sustainability value of individual projects that have been selected by management.

Common theme here, is that any process solution deployed will need to be able to handle financial and non-financial data in both qualitative and quantitative workflows at an ultra-granular level. They will also need to handle an ever increasing number of data types. This requires latest process technologies to drive this forwards.

Conclusion

Sustainability reporting is no longer a niche responsibility – it is now a strategic imperative. As data complexity grows exponentially and regulations tighten, organizations must evolve their sustainability strategies and reporting to comprehensively integrate financial and non-financial metrics across domains.

Without a unified approach, sustainability goals will remain out of reach. Cross-departmental collaboration, data governance improvements, and process transformations are paramount. But just as critical are developing the digital capabilities to gather and analyse granular financial and non-financial data in real time.

Those that rise to this challenge will revolutionize not just sustainability reporting, but drive broader digital transformation. They’ll future-proof their businesses by optimizing performance based on a holistic view of value creation. Non-listed companies especially stand to gain tremendously by proactively championing transparency and responsibility through comprehensive sustainability reporting.

But for most organizations, the journey starts with a recognition that sustainability reporting is no longer a box-ticking exercise. It demands a radical rethink of workflows, metrics, technologies and skillsets. Those that answer this call will distinguish themselves by turning data into integrity, transparency into action, and responsibility into competitive advantage. The time for transformation is now.

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