USCIS RFI: Predictive Lake Analytics Nextgen eXchange Services (PLANXS) II

Notice ID: 70SBUR25I2

PLANXS II will support the Data and Business Intelligence Section (DBIS) Portfolio’s development, operations and maintenance, customer engagement, and training for the program missions and technical stack…

This PLANXS II task order will be the primary vehicle to obtain professional services in development of new and enhancement of existing capabilities in advanced analytics and reporting of USCIS data as well as the brokering of data for information technology systems and applications. The development scope of the program involves transforming agency-wide analytical capabilities and enhancing the agency’s ability to use its large data pool for decision-making, operational improvement and predictive and prescriptive analytics; any USCIS, DHS, or external federal agency system can become a source of data for DBIS, if dictated by the mission. Priority tasks will also support in accordance the OIT Strategic Plan and the USCIS Data Strategy.

This task order support will include program management, operations and maintenance of all DBIS system components in the cloud, research and analysis of emerging technologies, training and security, while complying with all Federal, DHS and USCIS standards, policies and procedures.

PLANXS II will include the following task areas:

• Advanced Data Analytics: The contractor shall provide capability for USCIS to invest in advanced forms of analytics to leverage big data and find new business intelligence discoveries using advanced technologies to do deep learning and analysis on data. Implement self-service models and data visualization for next generation business analytics and business intelligence. Make advanced data discovery accessible to business users irrespective of their technical knowledge and skills.
• Incorporation of Artificial Intelligence (AI) and Machine Learning (ML): The contractor shall capitalize on advances in AI and ML creating intelligent data models and automated analytics. The goal is to make acquiring new data easy, so it can be available for data science explorations and quick decision-making analysis for …

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