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A repository for information related to the Data Analytics team's Establish an OCDO and Data Governance need.

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Data Analytics: Establish an OCDO and Data Governance

How to respond to this RFQ

This RFQ was posted to eBuy under RFQ1398262. Should you have any questions or feedback related to this Request for Quote, please fill out this Q&A form no later than October 1, 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 9, 2019 at noon, eastern.

We cannot commit to considering anything sent to us after the deadline above or sent via any other medium.

Background

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 accomplishes 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 agency partners with a shared service solution for professional services.

At the U.S. Department of Housing and Urban Development (HUD), the Data Analytics CoE was tasked to assess existing data, tools, and systems used by HUD programs and offices and define analytics outcomes and priorities to move HUD towards a data-driven culture. HUD also desired the development of a strategy for analytics transformation that includes data governance, data management, and use cases for artificial intelligence technologies.

Purpose

HUD has a need to establish an Office of the Chief Data Officer (OCDO) to manage data as a strategic asset and to create and implement an overall data management strategy. These high-level objectives reflect the need for improving and establishing organizational data standardization, integrity, availability, accessibility, usability, and sharing best practices at an enterprise level, to ultimately improve decision making throughout the agency.

This must be achieved in a manner that allows the selected Chief Data Officer (CDO) and HUD Executives to define the authority of the OCDO, finalize a communication plan, submit a Congressional review/approval package for the OCDO's operations, support that process, and provide base functionalities of an OCDO for HUD on an enterprise-wide level. Additionally, this must be done in a way that establishes and maintains a formal data governance steering committee and working group, data quality and data certification policies, an enterprise-wide data asset inventory, business glossary, metadata and master data management, a HUD Open Data Portal, and a self-service data analytics environment.

Other HUD-related work

Please see the main repository for information on all procurement related information to the HUD and CoE engagement.