Enterprise Data Management


At Analytica, we believe every federal enterprise data management approach must be flexible to meet their unique needs. Rather than simply delivering federal agency data management and governance as a product, we create a program to help our clients learn data management and governance from us and be involved in implementation, so they are equipped to successfully maintain, continuously improve, and manage a master data management program that embraces their data as an enterprise asset.

Want to know more?

Reach out to discuss how we can help with your mission

Enterprise data management
in government

Federal Government Agencies rely on enterprise data with large-scale models and operating processes to inform and assess mission-critical IT project-level data design practices. These needs can be met through federal best practices leveraging Hybrid or Cloud Data Architecture, such as clustered computing resources, massive parallel processing, scalability, high performance, high availability of data, flexibility to support multiple types of business users, load operations and refresh rates, query operations, data processing engines, and pipelines. Analytica adapts data design standards and design guidance to support innovation in:

Architecture patterns

Data management technologies

Domain-level data exchanges

System development approaches: SAFe, Agile and DevOps

Analytica brings expertise in data modeling and integration, and a clear understanding of how these standards and guidelines can evolve. As required to inform and assess IT project-level data design practices, we manage:



Enterprise models

Operating processes

We adapt data design standards and guidance to support innovation in architecture patterns, data management technologies, and system and service development approaches.


The five key pillars on
Analytics Edge Framework

Analytica evaluates the maturity of our client’s data capabilities to improve priorities and create a data strategy and master data management program implementation roadmap. We establish an Enterprise Analytics Program for our clients based on the Analytics Edge Framework.

  1. Vision & Strategy

    Define and maintain the organization’s vision, priorities, strategy, and roadmap

  2. Data & Technology

    Access the analytic tools, technology, platforms, data sources, and repositories for capabilities and ability to support the strategy and program.

  3. Analytics & Innovation

    The center of the program and supports research and the incorporation of innovative data, tools, and technologies through Analytica’s Agile Analytics Project Management approach – based upon Agile and CRISP-DM.

  4. Organization & Talent

    Without proper communication, training and change management, a program will fail to provide the skills and experience necessary to ensure organizational user adoption. This is often referred to as the “last mile” to program maturity and can be the hardest to achieve.

  5. Sponsorship & Governance

    The foundation of our Framework ensuring the necessary sponsorship, management roles, responsibilities, policies, and procedures are in place for a secure and scalable Enterprise Program.

Enterprise Data Management
  • Improves data stewardship, governance, and interoperability while reducing data redundancy and quality issues
  • Builds a culture that values data.
  • Provides the knowledge and expertise for our clients to successfully maintain, continuously improve, and manage a data management program that embraces their data as an enterprise asset.

Relevant Insights

June 20th, 2021
Case Study

Federal Data Strategy and Governance

Analytica is supporting the Centers for Medicare and Medicaid Services (CMS) Office of Information Technology (OIT) to design and implement a federal data strategy and governance approach to support enterprise cloud environments. As part of work we are helping adapt data architecture, design standards and governance frameworks to support innovations around cloud based data management and analytics.

February 12th, 2020
Case Study

Affordable Care Act (ACA) Enterprise Data Engineering

The Patient Protection and Affordable Care Act (ACA) created new health insurance exchanges that began processing applications for coverage in 2014, creating large volumes of heterogenous data across Federal and State data sources. Our client, the Internal Revenue Service, is accountable for calculating and applying premium tax credits (PTC) to individuals and small businesses based on taxable income and insurance throughout the coverage period. They also use this data for matching and analysis to produce accurate measures of tax reporting, filing and payment compliance as well as decision-making and reporting to such external stakeholders as the Treasury, Congress, and the Government Accountability Office.

Analytica is an SBA Certified 8(a) federal consulting & IT solutions provider supporting federal data architecture and engineering
November 23rd, 2021
Case Study

Federal Data Architecture and Engineering

Analytica supports our client’s critical heterogeneous 7 Petabyte (PB) federal enterprise data warehouse environment with federal data architecture and engineering administration support across structured, semi-structured, and unstructured data located in on-prem and cloud environments from over 52 institutional Internal Revenue Service (IRS) databases. These databases include data from all the core IRS systems, such as the Modernized e-File (MeF), Return Review Program (RRP), Customer Account Data Engine 2 (CADE 2), and Account Management Services (AMS).


"*" indicates required fields

This field is for validation purposes and should be left unchanged.