Data source types ranging from property and corporate records that can identify the ultimate beneficial owner of companies; trade records that can tell us about specific shipments and transactions; and even aircraft and vessel movement data to track assets in near real-time. We identify available datasets, verify their usefulness, and index them into our Data Search and Knowledge Library environments. For more information, see What is the Data Dictionary? and What is the Knowledge Wiki?

Data file types, from PDFs, CSVs, JSON, HTML and other file types brought together into a single search bar. For more information, see Advanced Search Guide and How do I search and use the results page?

Modeled data takes structured tabular datasets and breaks them down into their constituent parts using the Aleph Follow the Money model. By doing this we enable users to explore the entities and relationships that make up a dataset. For example, in a corporate registry there is the company, shareholders, officers, etc. which might represent a single row of a much larger dataset. In Seamless Horizons, we are able to break this down into the entities (companies, persons) and intervals (owned by, shareholder of).