全球智库信息集成服务系统

The Navy Faces Barriers to Making Sense of the Intelligence, Surveillance, and Reconnaissance Data Being Collected

• Challenges to the timely consumption of data include slow download times, shared communications pipelines, and large chunks of untagged raw data.
• Challenges to the accurate integration of data include stovepiped databases and networks, and cluttered analyst workstations.

Dynamically Managing Analyst Workloads May Improve Analyst Productivity, but Only to a Certain Extent

• Today's tasking arrangements are, in the main, fixed and geographically based. Intelligence specialists in one location can become quickly overwhelmed with tasks.
• Tasking models in which tasks are automatically shared based on who is available to accept new tasking outperform today's model in terms of analyst productivity, but only in the short term.

A Solution to the Navy's "Big Data" Challenge Must Involve Changes Across Four Dimensions: People, Tools and Technology, Data and Data Architectures, and Demand and Demand Management

• One potential solution involves adding more applications to analyst workstations, with the goal of helping analysts take advantage of the increased variety of data afforded by the proliferation of data types and databases.
• A second potential solution involves the physical consolidation of applications and their corresponding data and databases, with the goal of enabling a high level of interoperability.
• A third potential solution involves the virtual consolidation of databases, applications, widgets, services, and other elements into a cloud architecture, with the goal of limiting the transmission of raw data and of implementing a data strategy that includes the use of metadata.