Abstract
We present an enterprise design pattern for managing metadata in support of financial analytics packages. The complexity of financial modeling typically requires deployment of multiple financial analytics packages, drawing data from multiple source systems. Business domain experts are typically needed to understand the data requirements of these packages. Financial product innovation and research advances imply that data requirements are chronically unstable. These forces of complexity and instability motivate a software architecture that exposes financial metadata declaratively, thus allowing on-the-fly metadata modifications by domain experts, without provoking a costly design-develop-test-deploy lifecycle.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
