How are you developing the data literacy of your organization, including the skills of your data teams and of your business stakeholders?
Our organization’s mission is to provide our investors with a competitive advantage through data, insights, engineering, and generative AI (genAI). We do this by being laser focused on our investors’ needs, leveraging new technology, and constantly questioning our status quo to ensure our efforts align to value creation and innovation.
We deliver value through tradable insights and predictions; building scalable data products; education and training; using the latest tech in our platforms; and aspiring to have a level of partnership so strong that our portfolio managers and stakeholders would say they could not imagine working without it. In the early days of our organization, we were focused on core data architecture, platforms, and discoverability, building products like a firmware data catalog. Our stakeholders are data savvy and part of our group’s job is to help them find an informational advantage through data.
Our firm leverages traditional financial and market data, all categories of alternative data, and we have a large proprietary data collection effort. Like the financial markets we operate in, data is constantly changing the impact of certain datasets can degrade over time as they become more commoditized. We are constantly looking for new information sources that our competition has not yet discovered or that our scale allows us to process smarter, faster, and better.
