Vorteks™ Empirical Data-driven Solutions · 2018. 2. 23. · Vorteks performs automated entity...
Transcript of Vorteks™ Empirical Data-driven Solutions · 2018. 2. 23. · Vorteks performs automated entity...
In today’s data-saturated analytic environment, no single analyst or group of analysts is capable of reading and comprehending the amount of data available on most topics. The need to rapidly isolate the right data necessary to solve complex problems requires a new approach.
Vorteks can ingest bulk data, pull from existing databases, monitor file structures, poll dynamic data sources (e.g., social media, RSS, etc.), or simply import via “drag and drop.” A command-line interface enables seamless integration of existing enterprise data processing pipelines.
Data is converted into a single format that the analyst can query to discover the intersections among and between data sets automatically rather than querying from individual databases and
making manual connections.
Vorteks queries these multiple data sources for millions of terms simultaneously and returns an automated result in the form of network relationships that can be depicted in multiple views.
Rapid, iterative processing coupled with agile analytics enables analysts, operators, planners, or computer network defense personnel to discover relationships present in the data that are not obvious.
Vorteks performs automated entity extraction, natural language processing, and relationship detection across data sets as specified by analysts, thus eliminating the need to read each document and manually tag items of interest. Vorteks exports to many existing visualization and analysis tools.
Vorteks provides an environment to visualize
and analyze integrated data in multiple
representations using a variety of analytic
techniques to develop data-driven empirical
solutions.
Vorteks™Empirical Data-driven Solutions
Benefits
■■ An analyst-driven data acquisition, processing, visualization, and analysis environment enabling integration of millions of disparate structured, semi-structured, and unstructured records or documents■■ Versatile — rapidly ingest, display, and understand large amounts of complex data from multiple sources in one tool■■ Comprehensive — users become proficient in data processing, data management, and data analysis all in a single environment; does not require an engineer ■■ Agile — processing speed allows users to postulate multiple hypotheses, generate network models, explore multiple views and analytic measures, and quickly reprocess for new insight
Vorteks™
For further information contact:
Raytheon CompanyIntelligence, Informationand Services 13900 Lincoln Park DriveSuite 400Herndon, Virginia20171 [email protected]
www.raytheon.com
Information Collection: initial harvesting/retrieval■■ More than 1 million documents and more than 5 million records; Open Database Connectivity (ODBC) plug-ins; RSS and social media streams
Format Conversion: parsing and conversion to XML ■■ Common data format, easily indexed and tagged, exportable to other applications
Augmentation: extraction/characterization/supplementation■■ Entity extraction, normalization; extraction of phone numbers, email, social media handles, etc.
Storage and Indexing: data warehousing■■ Automated relationship detection and mapping
Search: browsing, search, and retrieval■■ Networks automatically generated from more than 2 million search terms
Modeling: relationship mapping■■ Analyst can choose a variety of relationship indices and representations of data
Visualization: graphical representation■■ Multiple views and social network analysis functions
Internal Reference # IIS E17-2KTV This document does not contain technology or Technical Data controlled under either the U.S. International Traffic in Arms Regulations or the U.S. Export Administration Regulations.
© 2017, Raytheon Company. All rights reserved. Advanced Media-East_4439537 (12/17_Update)
Vorteks Processing
EnvironmentUser-constructed data pipeline
consisting of 46 separate microprocessors to extract, transform, and load up to 22 different data types.
Vorteks Data
ManagerWindows service that allows the user
to collaborate across the network, store raw or processed data, and
designate security access protocols.
Vorteks Visualization
EnvironmentDisplays data in multiple views;
makes sense of network relationships at a large scale; sets up alerts for
activities of interest.