3.5 Pain points
Taking the above-described processes and practices in handling ESG into account, the pain points of the current state (AS-IS scenario) can be boiled down to (Danish Business Authorities & Deloitte, 2023):
Manual processes, including manual management and collection of ESG data.
Difficulties in obtaining data.
Non-standardized data – data exists in silos throughout the supply chain, often in poor quality.
Current data formats and structures makes it difficult to integrate data across systems.
Solutions are expensive to acquire, maintain and costly in terms of change management.
Limited experience, knowledge and collection of ESG data in many businesses – lack the correct competencies and resources.
If the pain points are not mitigated, a range of potential risks exist for the SME’s. For example, companies that are unable to provide the requested data to stakeholders may face economic consequences (Danish Business Authorities & Deloitte, 2023), such as:
A. Missing out on business opportunities: For example if, as is already seen across many industries, businesses include ESG data deliverables as a requirement in their contractual agreements between trading partners. Companies not able to deliver the requested data might lose competitive ground.
B. Reputational damage: Investors, consumers, and business partners may perceive companies that fail to meet ESG disclosure requirements as polluting, lacking transparency or clarity in their sustainability commitments. Consequently, stakeholders might withhold investments or refrain from purchasing their products.
C. Penalties for non-compliance: SME’s subject to CSRD (in 2027), even though the reporting requirements for SMEs will be lower than larger enterprises, will potentially be facing fines or legal consequences – if not able to report on the mandated disclosure requirements, due to lack of resources.
D. Increased loan costs: Companies not able to deliver on ESG data, will forgo the opportunity to pursue “green bonds”. Companies lacking ESG data might face higher taxes and interest rates, compared to those who can deliver on ESG data.
Having analyzed these pain points, the next step is to consider how they can be mitigated, i.e., an optimal end state. This will be explored in the following section “TO-BE”.