Innovative Data Anomaly Detection and Transformation for Analysis Applications Navy SBIR FY2013.2 Sol No.: Navy SBIR FY2013.2 Topic No.: N132-096 Topic Title: Innovative Data Anomaly Detection and Transformation for Analysis Applications Proposal No.: N132-096-0721 Firm: Quanterion Solutions 811 Court St. Utica, New York 13502-4096 Contact: Paul Lein Phone: (315) 351-4205 Web Site: quanterion.com Abstract: The Navy has invested significant resources in constructing, maintaining and updating various information systems/databases that contain data/information that needs to be manually filtered to detect/remove anomalies prior to transforming it to perform useful analyses. The proposed approach will automate this process by: 1. Parsing the data/information needed and detecting its source 2. Allowing users to define a customizable template to extract/map data 3. Applying a logic system to the data/information records to automatically detect anomalies and repair records 4. Allowing users to define/select a customizable template and format repaired data/information to make it suitable for additional analyses The approach will utilize data/information on part failures; flight hours; number of aircraft landings; maintenance hours per repair; maintenance procedure content; part costs; part nomenclature; historical information on "mishaps", and other disparate data elements as part of a software tool that extracts, transforms and detects/repairs dataset anomalies in preparation for Naval Aviation Maintenance & Supply Model (NAMSM) analyses, eliminating the need for most manual intervention. Due to the data/information-independence and user-customizable capabilities of the approach, it will have broad applicability throughout the DoD, other government agencies and numerous commercial/industrial market segments not limited to reliability, availability and maintainability analyses. Benefits: Successful completion of the Phase II effort will result in a flexible, customizable approach to automated data/information anomaly detection and repair that can be readily adapted/transitioned to a wide variety of DoD, Service and Other Government Agency (OGA) analysis communities, as well as a number of diverse commercial market segments and application environments (e.g., transportation, health services, banking, data/information warehousing, etc.). Return