Companies and other organizations rely on data feeds from numerous sources to obtain relevant, timely data for their businesses and operations. Such data sources, however, are commonly received in a variety of formats which requires the receiving organization to manually extract the relevant data from each type of document. Consequently, many organizations expend considerable resources to analyze incoming data and file formats, identify relevant data, and store it in a useful format in their existing databases. The extent of effort involved may consume a large amount of the organization's administrative resources. In addition, many organizations do not effectively correlate incoming data with their existing databases. Consequently, organizations frequently miss opportunities to effectively and rapidly assimilate incoming data into their operations and businesses. These and other drawbacks exist with known systems.