Valuable life-cycle management data derived from unstructured data formats (Microsoft® Word, Microsoft® Excel, etc.) is underutilized in the current acquisition decision process. The Scoring Analysis via Data Integration and Information Extraction (SADIIE) capability implements an information extraction system that leverages web-based software and machine learning to identify key system metrics and threshold values from unstructured and structured information sources. SADIIE provides the capability to synchronize unstructured and structured data, to drive data analytics that enable collaboration and real-time decision support through flexible visualization and quantifiable assessment. Applied Technical Systems (ATS) implements simple, user-centric solutions to simplify and rationalize complex data problems. Under ATS’s Agile development methodologies, each SADIIE function is prototyped, verified, and improved. ATS’s target architecture establishes a robust data driven decision support analytic framework suitable for employment by the naval weapons systems acquisition and program management communities.