OEDA was created in May 2018 to develop an enterprise-wide data analytics system
During the week of December 10th, EEOC held a series of “Data Dialogues” with stakeholders to introduce the agency’s new Office of Enterprise Data and Analytics (OEDA). In November 2017, Chief Data Officer, Dr. Chris Haffer was hired and the 21 year old Office of Research, Information & Planning was reorganized and upgraded in May 2018 into the new OEDA. In July 2018, the Deputy Director and Senior Counsel of OEDA, Kimberly Essary, was selected to serve as a Federal Data fellow on the Administration’s Federal Data Strategy Team. The Federal Data Strategy Team is made up of cross-discipline federal data experts who will help develop practices and action steps for the Federal Data Strategy as part of the President’s Management Agenda (PMA) and the Cross-Agency Priority (CAP) Goal of Leveraging Data as a Strategic Asset. According to Essary “with the creation of OEDA, the EEOC is well-positioned to support the transformative role data can have to make the federal government more efficient and transparent, and to better serve the American people.”
OEDA was created to “develop an enterprise-wide data analytics system, utilizing state of the art data and information science tools to enhance mission effectiveness and make the EEOC’s data readily available to both internal and external users.” According to EEOC Acting Chair Victoria Lipnic, the new OEDA allowed the agency “to address important issues about data protection, access, and internal data governance.”
OEDA is comprised of the Business Operations and Organizational Performance Division, Data Development and Information Product Division, Information and Data Access Division, and Data Analytics Division. In addition to other functions, the OEDA team manages the EEOC’s EEO surveys, which collect workforce data from employers, unions and labor organizations, state and local governments, and public and secondary school systems and includes the team of economists and statisticians who advise on large investigations.