A cloud service for the evaluation of company´s financial health using XBRL-based financial statements

Financial statements of all listed and over the counter (OTC) companies collected by stock exchange represent valuable big open data. Therefore, automatic processing and analyzing such big data would create tremendous added value economically. In this paper, we design and implement a cloud service for evaluating company´s financial health using XBRL-based financial statements collected by Taiwan Stock Exchange Corporation (TWSE). The XBRL-based financial statements are parsed and stored as key-value pairs into MongoDB, which is a kind of NoSQL database. The proposed system is designed using three-tier architecture for flexibility and maintainability. It also provides user-friendly interface with various charts. The proposed system indeed demonstrates powerful benefits of implementing interactive data using XBRL for financial disclosure documents in big data era.