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.: N132-096-0399 Firm: Sonalysts, Inc. 215 Parkway North P.O. Box 280 Waterford, Connecticut 06385 Contact: Margaret Bailey Phone: (860) 326-3621 Web Site: www.sonalysts.com Abstract: NAVAIR's Warfare Analysis and Integration Department (AIR 4.10) has three labor intensive, error prone, data management operations that Sonalysts' desktop, Windows application will automate with a generic toolkit to greatly reduce the human effort. The data provided by the fleet tends to be error prone, but modeling, simulation, and analysis require valid data. The data contains both quantitative and qualitative elements which are interdependent. Additionally, these processes must be run on hypothetical datasets to evaluate proposed equipment changes, where the potential benefits are loosely defined. Once the data is cleaned, the results need to be formatted to support downstream analysis tools. The codes, rules, and formats evolve over time. Sonalysts proposes a set of user-configurable, rule-set generators for creating and maintaining instructions for cleaning the data, synthesizing hypothetical data, and formatting output datasets. These rule sets are used by the code, but are not part of it. Thus, modifications do not require program source code changes or recompiling. Qualitative data analysis techniques will be used to perform weighted matching of text elements to automate selection of dependent code values. Benefits: The rules for repairing, extending, and formatting data will vary depending on the organization using the toolkit. Through user configuration, the toolkit can correct, extend, and format many types of data and log the results, tailoring them to fit many situations. The operations involved can be used to do much more. The combination of mixed quantitative/qualitative data analysis and modification could also be used to auto-complete information, perform data-reduction or make logical inferences, and output the results in a user-defined format. The toolkit, "DataMorf," will improve data accuracy, time effectiveness, and ultimately save money. The Navy will have the capability to increase throughput for their aircraft modeling, simulation, and analysis, while freeing up personnel for less mechanical tasks. DataMorf would be a useful tool in logistics operations. Upon award, Sonalysts will contact Mr. Tom Blake, the Sustainment IPT Lead for the NAVAIR E-6 team. DataMorf will satisfy AIR 4.10's requirements, and future commercial prospects for the solution are excellent. Marketing will be limited initially to aviation, but the solution has applications across DoD and in the commercial airline industry. With a successful track record, the market for this product will readily expand beyond aviation to other product areas, in and out of DoD. Return