Our Insights

Implementing federal low-code and no-code solutions using platforms such as Appian, Microsoft Power Automate, and  H2O AI to provide federal clients higher productivity with the ability to build applications quickly that are built once and run anywhere.

The Advanced Technology Academic Research Center (ATARC), a leading Government Private / Public Partnership, has a goal to accelerate the adoption of AI and data analytics best practices across government and industry that increase efficiency and reduce cost.

Analytica worked with the DHA’s Analytics and Evaluation Division (J-5) to provide centralized analytics services, data reporting processes, and automation. Our team successfully automated or semi-automated data collection and reporting, often resulting in the development of dashboards that aid leadership in making critical, enterprise-wide decisions. We modeled and forecasted various aspects of cost through the MHS enterprise and specific incidents such as the COVID-19 pandemic. This work aided in an increase in the reliability, sustainability, and quality of DHA data products.

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).

Analytica supports the Centers for Medicare and Medicaid Services (CMS) with federal program integrity support analysis, oversight, and compliance in support of Medicare and Medicaid. Our team-integrated team applies both subject matter and technology expertise to help combat public sector fraud, waste, and abuse, In collaboration with our client, we help provide innovations around case prioritization, selection, and applying risk-based analytics to program integrity reviews.

Enterprise-level business intelligence, data management, and analytics have evolved materially over the last few years. However, many organizations still maintain highly siloed data with limited self-service and enterprise-level data management and analytics capabilities. Analytica was engaged by a federal government client, the Department of Homeland Security (DHS), to help modernize their enterprise analytics capabilities and support the analysis of hundreds of millions of records from across DHS agencies. The client faced difficulty linking immigrant identities from the disparate records stored in more than four dozen separate data silos. Downstream, this hindered their ability to perform timely mission critical enterprise-level planning, prescriptive, and predictive analytics.