The document outlines a series of requested services and tools relevant to data management and cloud computing for government operations related to the Federal Deposit Insurance Corporation (FDIC). It categorizes various functionalities such as Test Data Management, Access Control, and Database management across different technological solutions, primarily centered around Azure Cloud Services. Key software names mentioned include various products from IRI, Azure tools (like Azure Data Lake and Azure Synapse), development languages (Python, R, JavaScript), ETL processes, and reporting applications (Tableau, SAP Business Objects). This extensive list indicates a focus on enhancing data governance, analytics, collaboration, and cloud-based infrastructure to meet agency needs. The overall purpose appears to be the identification and procurement of effective tools to streamline data management, ensuring security and compliance for federal grants and contracts. This aligns with the objective of improving efficiency and accountability in government operations.
The document outlines a comprehensive inventory of software tools, data sets, and systems utilized by the FDIC for various operational purposes. It highlights key components including data management systems like Enterprise Data Warehouse (EDW), risk-related premium systems, and dashboards focused on analytics and compliance. The file catalogues tools such as Oracle, SQL Server, and various ETL services, noting the diverse types of data sources involved, including census data and vendor information. Frequency of data management activities varies from daily updates to annual reviews and is employed across several platforms, employing tools like SAP Data Services and Mulesoft for integration and reporting. Each system and tool is associated with specific applications, ensuring regulated data operations crucial to governmental compliance and oversight functions. The document serves as a valuable reference for stakeholders in crafting proposals for RFPs and grants facilitating better understanding of the FDIC's operational data landscape.
The 2027 FDIC Target State document outlines the Federal Deposit Insurance Corporation's (FDIC) strategic vision for modernization of its information technology (IT) architecture over the next five years. It aims to develop an Adaptive IT Architecture that enhances operational agility, cybersecurity, data management, and digital empowerment to support the FDIC’s mission of ensuring a safe financial system. Key components include modernization of various divisions such as Consumer Protection, Insurance and Research, and Resolutions and Receiverships.
The document emphasizes the need to streamline IT portfolios, migrate to low-code platforms, adopt cloud-native frameworks, and leverage advanced data analytics to improve decision-making and operational efficiency. Objectives to achieve this include increasing speed and agility in service delivery, enhancing cybersecurity, stimulating innovation through technology ecosystems, and fostering a continuous learning culture among staff through a Corporate University.
The strategic goals are aligned with the FDIC's overarching mission, advocating for proactive cybersecurity and effective change management to ensure resilience and responsiveness to emerging challenges in the financial landscape. This comprehensive blueprint serves as an essential guide for future investments, technology enhancements, and policy creation within the agency.
The document outlines the achievements related to the implementation of the IRI Voracity software suite acquired by the FDIC in 2023 for test data management. Key accomplishments include the successful installation and configuration of the software on four Windows 2019 servers, establishing governance for providing obfuscated data, and creating reusable master set files to ensure data integrity across systems. Additionally, the software has enabled the development of the RMS Supervision360 application using masked data from nine different applications, classified as a medium effort task. Furthermore, the initiative involves replacing an outdated custom-built Test Data Generator with the more advanced IRI Voracity application. These developments demonstrate FDIC's commitment to modernizing its data management processes while ensuring compliance with privacy and governance standards. The context of this document reflects broader government initiatives in technology acquisition and enhancement aimed at improving operational efficiency and data handling practices.
The Federal Deposit Insurance Corporation (FDIC) has issued a Request for Proposal (RFP) for Enterprise Test Data Management (ETDM) services. The initiative aims to streamline test data lifecycle management by integrating effective strategies and techniques for managing high-quality test data, which is essential for protecting sensitive information, regulatory compliance, and accelerating software release cycles. The contractor will deliver tailored solutions based on project complexity, categorized into small, medium, and large projects, with firm fixed pricing and time/materials options.
The contract stipulates detailed project management, planning, and analysis, emphasizing collaboration with internal FDIC teams and third-party service providers. Key personnel must possess substantial experience in Agile methodologies and enterprise data management to ensure successful execution. Deliverables include the analysis of current test data practices, future improvements, and user training, with a period of performance extending up to five years. Safety measures, confidentiality, and compliance with federal regulations are prioritized throughout the contract to safeguard sensitive data and maintain operational integrity. This RFP demonstrates FDIC’s commitment to enhancing its data management capabilities while aligning with strategic goals across its departments.
The FDIC has developed a structured Excel file to guide Offerors in preparing proposals for a Task Order related to the Enterprise Test Data Management (ETDM) contract. The file comprises multiple tabs, including pricing for different project complexities (small, medium, large), descriptions of labor categories, hourly labor rates, and a summary of proposed pricing. It specifies roles and full-time equivalent (FTE) estimates per project complexity, with detailed input requirements for biweekly sprint charges.
Key labor categories include Project Manager/Scrum Master, Data Architect, System Administrator, and Data Warehouse Specialist, each requiring significant experience and expertise in areas such as Agile methodologies, data management, database technologies, and cloud solutions. The Offerors must provide complete pricing for all labor categories to avoid disqualification.
The document emphasizes a structured approach to pricing analysis, allowing the FDIC to evaluate potential costs when awarding the contract. Contributions from Offerors will be utilized for evaluation purposes in future tasks under this agreement while maintaining a clear distinction between mandatory and optional pricing components. Overall, this file serves as an essential reference for prospective contractors aiming to submit responsive and competitive proposals aligned with FDIC requirements.
The document addresses solicitation questions related to Enterprise Test Data Management, intended for potential offerors participating in a government Request for Proposals (RFP). It seeks to clarify expectations around the management of test data essential for various enterprise applications. The document outlines the importance of proper data management practices to ensure compliance with legal standards and to maintain the integrity and security of data throughout testing processes. Additionally, it invites potential offerors to submit questions about the solicitation to assist in understanding the requirements fully. The primary goal of this document is to facilitate a clear and transparent communication channel between the issuing agency and prospective vendors, thereby ensuring the project aligns with federal standards and successfully meets governmental data management needs.