Harness Big Data and Business Intelligence to Assess ESG Risk

Logo
Presented by

Szilvia Andriasik, Compliance and Integrity Officer and Consultant

About this talk

In the transition to a green economy, regulators, consumers and investors alike are keen to ensure that their money is going towards organisations with low ESG risk. In turn, it's never been more important for businesses to assess and monitor their own ESG performance. As operations become increasingly digitised, businesses have more intelligence than ever, providing them with a clearer view of efficiencies and challenges. By collecting valid and relevant data based around international indicators and the company’s self-assessment, businesses can harness data analytics to build a comprehensive ESG risk-assessment that monitors ESG tasks in real-time. The challenge is in analysing and interpreting the raw data in a way that makes it easier for business managers, CFOs and ESG officers to understand what the potential ESG risk factors are and what actions can be taken to overcome them. In this session, Compliance and Integrity Officer and Consultant Szilvia Andriasik she shares her insights on the power of big data and analytics to optimise ESG outcomes. Topics for discussion include: - Best practices for ESG risk analyses. - Combine international standards with internal data to conduct comprehensive ESG analysis. - Leverage business intelligence and tools like Power BI to spot ESG red flags. - And more...
Related topics:

More from this channel

Upcoming talks (4)
On-demand talks (212)
Subscribers (92250)
Data is the foundation of any organization and therefore, it is paramount that it is managed and maintained as a valuable resource. Subscribe to this channel to learn best practices and emerging trends in a variety of topics including data governance, analysis, quality management, warehousing, business intelligence, ERP, CRM, big data and more.