Air Force Sources Sought: Data Aggregation and Analytics (DA2)

Notice ID:  FA701424R000X

Scope.  OSI requires an interactive, web-based service that provides users real-time link analyses of extensive business linkages globally related to government contracting. This information is needed for the law enforcement mission of OSI. It should enable users to query using any single criterion or combination of vast search criteria, including executive name, company name, address, DUNS Number, government contract number, and others.  Link analyses generated from the tool should indicate corporate family trees, each component of which can be further refined to specific locations, the executives responsible for that component, and related government contracts. The system should provide commercial information and insight into businesses globally of any size, as well as show domestic and foreign ownership in companies.  Ultimately, the information that is delivered from this system should be able to be readily organized into link analyses with robust entity resolution.  Finally, customer training and support should be provided at little to no additional cost.

Background.   There was an exigent requirement for a data analytical capability specifically mining government acquisition and security data as well as certain open source and licensed commercial business intelligence data to conduct company and company personnel bonafides evaluations. With the existence of less than transparent and/or completely fictitious business ownership relationships by unscrupulous contractors and unauthorized foreign actors, the DAF’s supply chain and acquisition integrity efforts have been compromised.  This capability affords agents and analysts quickly and accurately uncover important links between individuals and companies of investigative interest and ascertain complex relationships that otherwise might have gone unnoticed, saving hundreds of man-hours. AFOSI’s investigative efforts has resulted in millions of dollars being recouped from fraudulent actions against the DAF.  This technology includes artificial intelligence to identify company connections through previously unknown or unseen relationships that exist deep inside link analysis.  This capability affords OSI’s investigators and analysts a means to validate the contractual histories and business/beneficial ownership relationships to protect our technologies and thwart fraud.

Task Descriptions.  The Contractor shall provide online access to an aggregated dataset comprised of the following data sources: Office of Foreign Asset Control Specially Designated Nationals List (OFAC SDN), Sam Exclusions, Sam Entities, Federal Procurement Data System, USA Spending, and Dun & Bradstreet Prime. This aggregated dataset shall be capable of being queried via a robust search algorithm to conduct data element link analyses. The output of such searches shall be displayed via a user-friendly link analysis program and both the search query and output data shall be consistently repeatable and accessible to the originator and other authorized users. Both the search criteria and output data shall not be viewable nor determinable by any unauthorized individuals, whether external or company employees duly appointed to maintain the security of the vendor’s data system. The aggregated dataset’s source data shall be refreshed at a frequency of quarterly/semi-annually.

The dataset shall be configured correctly with no more than one data element misconfigured per calendar quarter. If misconfigured, the dataset shall be reconfigured within three business days of notification from the user organization’s representative …

Read more here.

Ad



Not Yet a Premium Partner/Sponsor? Learn more about the OS AI Premium Corporate and Individual Plans here. Plans start at $250 annually.

How useful was this post?

Click on a star to rate it!

We are sorry that this post was not useful for you!

Let us improve this post!

Tell us how we can improve this post?

LEAVE A REPLY

Please enter your comment!
Please enter your name here