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Innovative Automated Support of Data Analysis for Emerging Missile Defense System (MDS) Capabilities

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0860-22-C-7019
Agency Tracking Number: B212-006-0161
Amount: $154,997.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: MDA21-006
Solicitation Number: 21.2
Timeline
Solicitation Year: 2021
Award Year: 2022
Award Start Date (Proposal Award Date): 2021-12-06
Award End Date (Contract End Date): 2022-06-05
Small Business Information
7047 Old Madison Pike, Suite 305
Huntsville, AL 35806-2197
United States
DUNS: 968887195
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Jennifer Steinhauser
 (256) 665-5664
 jennifer.steinhauser@nou-systems.com
Business Contact
 Heather Johns
Phone: (256) 327-5541
Email: heather.johns@nou-systems.com
Research Institution
N/A
Abstract

nou Systems, Inc. (nSI) proposes an extension of our data insight and analysis tool, Sherlock, to address the big data analysis challenges facing the DoD. Sherlock, in tandem with aSSIST and a new tool for tracking the pipeline of the system on a micro and macro level, will provide this interconnected platform with data analysis tools, automated dashboards, clustering techniques for organizing complex data, and novel ways of viewing data links of all kinds. Sherlock, as a generic tool, already provides an integrated workspace for performing typical data analysis in an intuitive and efficient way, data exploration tools for viewing connections between datasets of any type (provided they are presented to the app in database form), and will soon incorporate the ability for users to create custom tools and machine learning models. The Sherlock engine will run within each app in the suite, extending to provide automatic population of pre-defined or user-defined metrics dashboards along each step of the missile lifecycle, clustering and filtering tools to reduce the complexity and quantity of information presented to the user, the ability to explore, add, and edit data connections, and the capability to allow users to add novel machine learning and artificial intelligence (AI) tools directly into the app. Since Sherlock is generic in nature, it can be integrated with any type of data, and will be tailored to each application it supports, as well as remain a standalone tool for generic data analysis. Approved for Public Release | 21-MDA-11013 (19 Nov 21)

* Information listed above is at the time of submission. *

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