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This RFQ was posted to eBuy under RFQ1399047. Should you have any questions or feedback related to this Request for Quote, please fill out this Q&A form no later than October 8, 2019 at noon, eastern.
Anyone interested in responding to this RFQ is encouraged to review the instructions referenced in the timetable that immediately follows the cover page. Please remember to review any artifacts in the repository as well.
Responses for the RFQ are due no later than October 23, 2019 at noon, eastern.
We cannot commit to considering anything sent to us after the deadline above or sent via any other medium.
The mission of the Centers of Excellence (CoE), housed within the General Services Administration (GSA), is to accelerate Information Technology (IT) modernization, improve the public experience, and reduce legacy IT spending across the Government. CoE accomplish this by centralizing top government tech talent, leveraging private-sector best practices, and operating with a teaming mindset across Government departments and agencies. To better align with the dynamic effects of such a transformation, CoE provides a shared service solution for professional services to agencies adopted under the CoE initiative.
At the U.S. Department of Housing and Urban Development (HUD), the Data Analytics CoE was tasked to define the analytics outcomes and priorities while assessing existing data, tools, and systems used by HUD programs and offices. HUD also required the development of a strategy for analytics transformation that includes data governance, data management, and use cases for artificial intelligence technologies.
HUD has a need to integrate Advanced Analytics techniques such as Artificial Intelligence, Machine Learning, Robotic Process Automation, and Geospatial Analytics with HUD’s technical infrastructure and data to solve high priority issues. The team performing this work must validate certain use cases, gather and analyze data related to those use cases, develop a prototype, operationalize their prototype, and iterate and improve upon the design.
This must be achieved in a manner that will utilize the data governance standards, policies, and procedures established by the Office of the Chief Data Officer in order to bring an enhanced analytical basis to HUD's decision making. Additionally, complex model outputs must be simplified into user-friendly reporting and visualization for multiple types of users.
Please see the main repository for information on all procurement related information to the HUD and CoE engagement.
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