The core opportunity is ESG (Environmental. Social, Governance). The core challenge within ESG is data aggregation. The biggest issue that our clients face with regards to ESG is what data should be disclosed and where can I find said data in my organization. Thus, the challenge for us is helping our clients aggregate their data. Reporting on ESG and adhering to disclosure requirements is a key sign to regulators, investors, peers and competitors that your business takes its ESG commitments seriously. An organization that is able to fully integrate ESG, and thus ESG data, into their corporate strategy, with a symbiotic relationship between day-to-day business and ESG goals, will find itself in a much stronger position than its peers. After outlining ESG goals and identifying which frameworks to adhere to, organizations need to determine where that data will be sourced. Once the data is sourced, organizations will then have a full picture of their impact and can begin to make the necessary changes to improve. For many organizations, mapping out their ESG goals is an essential early step on the ESG journey. However, turning those goals into actions often requires large-scale operational and cultural shifts. Each organization will have to shift towards an ESG focused culture. Part of data aggregation is learning the different pieces of data that need to be collected. In many instances, there are calculations that need to be made based on raw data that is collected. In other words, the raw data that is aggregated is not the final figure that is needed for for a specific metric. The goal with these metrics is to eventually get to some sort of net-zero emissions. Different organizations will take different paths to get to that goal depending on the industry the organization is in. We are looking to ensure that our end-to-end ESG software tool is, for all intents and purposes, an end-to-end tool. We want to make sure that our clients can identify the data that needs to be collected, collect data, make calculations based on the data the collected data, report the data, derive insights on that data, and subsequently make more sustainable business decisions based upon the calculated data. We need to understand the end-to-end process in each industry and how they differ from one another. Once we identify the differences, we can understand the different KPIs for each industry and their impacts. In ESG the differences for how ESG is handled in different industries is drastic. A technology company whose services are mostly delivered online has a completely different ESG impact and outlook than a more industrial company like Oil & Gas or Shipping & Logistics. Ideally, at the end of the engagement, we would like to have best practices guides researched and presented per industry. We can start with the industrial ones and then move downwards into softer, less environmentally harmful ones.