Abstract: A system, computer-implemented method, and computer program for enhancing business intelligence and peer analysis by improving access to and analysis of data and generation and presentation of results for a remote user. A data transporter assembles and normalizes data from different sources. The data is stored in a data mart having multiple data stores include curated and metadata stores. An API receives a request for a time series and/or geospatial dataset with attributes indicating levels of aggregation and granularity, interacts with the metadata to generate a corresponding SQL query, executes the SQL against the curated data, and communicates the resulting dataset to a BI software application in an open standard data format. The data mart may host the curated data in a star schema having a plurality of dimensions, the data transporter component may include a key management controller, and the data transporter may also interact with the metadata.

Abstract: A system, computer-implemented method, and computer program for enhancing business intelligence and peer analysis by improving access to and analysis of data and generation and presentation of results for a remote user. Data is assembled from different sources, normalized, stored in a database, and periodically or continuously updated. The data may include public, semi-private, private, and/or internal data. Various data and analysis measures, research and report templates, and output formats (e.g., charts, maps, and tables) are presented to the user for selection, and the selections are employed by the application to generate a report and communicate it to the user. The data may include metadata for the data, and the metadata may be used to limit the user's selections, and prior selections may be used to limit the user to compatible subsequent selections. The report may be automatically customized based on a user profile, user preferences, and/or default settings.