Best practice data management for integrating ESG and sustainability into the organisation

As the data landscape for ESG matures, the focus now is on integration of sustainability data into workflows, creating new risks, challenges and opportunities for data management and technology.

The lack of standardised, accurate and reliable data continues to plague data quality with fragmented data and competing frameworks creating challenges for regulatory compliance and investment insight.

Raw data has become critical and harnessing unstructured and alternative data sources with innovative technologies like AI and ML is a must have capability to keep ahead.

Financial firms must stay on top of these data management challenges and opportunities with flexible strategies, capabilities and technologies to ensure they can adapt to the evolving regulatory landscape and for the broader pursuit of ESG integration into the business.

2025 Topics:

• Navigating the ESG & Sustainability regulatory landscape including preventing greenwashing, fund labelling for the buy side, and the development of green products by the sell side
• Given consolidation of the “ESG alphabet” by the ISSB, best practices for streamlining and integrating sustainability reporting requirements to transition the business model and incorporate sustainability into risk management
• How to manage the complexity of non-financial data and the ongoing incorporation into financial institutions across the technology stack
• Practicalities of managing and integrating unstructured and alternative ESG data, alongside new regulations from the UK and EU on ESG vendors
• Opportunities and challenges for harnessing ESG data with AI and ML
• How leadership and culture of businesses need to drive and integrate environmental, social, and governance risks into business decision making