Hey, have you ever wondered how to make sense of the vast amounts of data available for company analysis? One approach is to feed taxonomies into models, but it’s not always easy. The original SEC taxonomies’ data can be scattered and disorganized, making it difficult to work with. For instance, Apple alone has 502 taxonomies, and when you have 16,215 companies, each with hundreds of metrics, it can be overwhelming.
However, what if we could organize and utilize this data more effectively? By feeding taxonomies into models, we can gain valuable insights into company performance and make more informed decisions. It’s an exciting opportunity, but it requires the right tools and approaches to make it work.
I’d love to hear from others who are interested in exploring this area. Are you willing to use taxonomies in your company analysis? What challenges have you faced, and how have you overcome them? Let’s discuss!