FY22_GDO_DAR_Data Landscape Analysis

The District of Columbia Government's Data Analytics and Research (DAR) division has issued a procurement opportunity for a comprehensive Data Landscape Analysis in fiscal year 2022. This solicitation seeks a qualified vendor to conduct an in-depth assessment of the district's current data management, analytics capabilities, and strategic information infrastructure. The primary objective appears to be developing a holistic understanding of existing data systems, identifying potential optimization strategies, and creating a roadmap for future data utilization and integration across government agencies. The contract opportunity was posted on October 28, 2021, with a strict proposal submission deadline of November 4, 2021, indicating a compressed timeline for potential respondents. While specific detailed evaluation criteria are not explicitly outlined in the provided information, typical requirements for such an analysis would likely include demonstrated expertise in data systems architecture, municipal government technology assessment, and strategic planning capabilities.

The procurement does not specify explicit set-aside designations or vendor restrictions based on the limited information provided. Given the technical nature of the data landscape analysis, respondents would likely need substantial experience in government data infrastructure, analytics consulting, and strategic technology assessment. While no incumbent vendors are mentioned, the project suggests potential integration with existing district-level data systems and technological platforms. The budget range and potential contract value are not specified in the available documentation, which may indicate that pricing will be evaluated competitively based on proposed methodological approaches and vendor qualifications. Potential respondents should carefully review the full solicitation documents to understand the precise scope of work, submission requirements, and any nuanced evaluation criteria specific to the District of Columbia's data analytics needs.