What COTS/GOTS Software as a Service (SaaS) data analytics solutions are available that support data capture through alternative collection methods?


Posted: October 26, 2022

Deadline: November 9, 2022

The Cybersecurity & Information Systems Information Analysis Center (CSIAC) is seeking possible commercial off-the-shelf/government off-the-shelf (COTS/GOTS) SaaS data analytic solutions that support alternative data gathering methods, such as crowdsourcing and direct observation, to provide “ground truth data.” This data analytics solution is meant to supplant personnel traveling and physically collecting information from U.S. facilities or areas of interest overseas.

The solution should provide an analytic framework for collecting required data elements for specific locations identified by the customer. The tools, methodology, and process must be scalable to support an increase in the number of locations during a prototyping effort (scale from 2 to 6 locations quarterly, if required). The solution should also provide complete data aggregation and analysis for critical data elements for identified countries near U.S. facilities and areas of interest overseas.

Data must be collected, processed, and transferred for dissemination within 60 days of a location tasking and provided in a format compatible with Esri ArcGIS PRO 2.6 and above to include a supported feature class table with defined field attribution and photo attachments. The captured data must also securely transfer to the government customer.

The solution should support ground-based data capture of identified critical locations, facilities, routes, and areas/points of interest to provide geospatial data with supporting photos, metadata, and attribution, including, but not limited to, the following:

  • Direct observation capture – Photo capture sufficient for two-dimensional and three-dimensional mapping of facilities and areas of interest, routes and intersections, and other data elements identified by the customer. These include, but are not limited to, coverage of the facility’s exterior out to the site perimeter, immediate surrounding area of site, open areas identified within defined distance from facilities of interest, and intersections and critical navigation points along a route.
  • Data attribution – Defined critical data elements for facilities, areas of interest, routes and intersections, and critical points of interest. These include, but are not limited to, GPS coordinates for location, date and time of data capture, addresses, estimated length/width of open areas, heights of facilities or obstacles, area usage/description, power and lighting conditions, and road and traffic conditions.
  • Place of interest mapping to include potential hazards based on historical or current activity in the area or region.
  • Primary and secondary route mapping at various times of the day and under all conditions to include road conditions, weather, lighting, travel time, and procedures during emergency events.
  • Current condition events/conditions reporting in real-time.

The solution should provide customer personnel training to interact with providers to ensure data elements are defined for site and facility locations of interest, data transfer is secured, requests for site-specific elements are refined, and an anchor data layer to identify trends and/or changes is used.

If you have any information, expertise, research publications, or know of relevant key contacts, please fill out the Active Inquiry form here and reach out to Olutoye Sekiteri (Olutoye.sekiteri.ctr@mail.mil), the lead IAC analyst for this effort, by clicking the “Collaborate with Us” or “Join the Discussion” buttons below.




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