Government agencies face complex missions in difficult operating environments. Elder Research has decades of experience helping agencies tackle their most difficult analytics and data science challenges.

Our teams enable government agencies to introduce innovative data science, machine learning, and artificial intelligence solutions to tackle mission-critical tasks in national security, government programs, regulation, and research and development.

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Examples of our core capabilities in the government space include:

Data and AI Strategy

The Foundations for Evidence-Based Policymaking, the Federal Data Strategy, and the Executive Order for AI Leadership have set the legislative groundwork to advance data and AI innovation in government agencies. We partner with agency leaders as trusted advisors to develop practical data and AI roadmaps that meaningfully impact programs and policy to ensure sustained analytics growth and maturity.

Program Efficiency and Innovation

Many government programs aid our country’s most vulnerable people. Data science is truly a transformational tool for these government programs, but it requires technical and change management expertise. Our teams introduce and integrate innovative data science and machine learning solutions that improve the effectiveness and oversight of programs and minimize wasteful spending.

Fraud, Risk, and Threat Mitigation

Data science, machine learning, and AI are proven technologies that help protect our country and its people. We help agencies mitigating fraud, risks, and threats to successfully apply sophisticated analytical techniques to their mission challenges — including anomaly detection, clustering, complex network analysis, predictive analytics, natural language processing, and advanced data visualization.

Analytics for Regulators

Regulators have the difficult challenge of identifying non-compliance, systemic threats, and potential criminal activity. We work alongside regulatory agencies to build data science and machine learning capability to enable data-driven regulation of products, services, healthcare, financial markets, tax laws, and more.

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Case Studies

Improving Claims Approval Speed and Accuracy

We combined text mining with traditional statistical techniques to create an analytics solution for ranking disability claims for approval. For the Social Security Administration identifying claims for disability that met the requirements for approval was a time-consuming and error-prone process. Some claims were taking over two years to be processed, much too long for very ill or elderly claimants. The challenge was to effectively integrate the data.

Results: The solution allowed 20% of the claims to be approved immediately, allowing the organization to focus resources on the most challenging cases and ensure that all statutory requirements were met.

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Improving Unemployment Insurance Claim Fraud Detection

The Unemployment Insurance Integrity Center of Excellence, a collaborative hub for all Unemployment Insurance (UI) state agencies, funded the development of a Data Analytics and Predictive Modeling (DAPM) tool to support predictive analysis for Unemployment Insurance Integrity across 53 state and U.S. territory constituents. The goal for the development was to use data analytics to improve detection of fraud, overpayments, and underpayments in unemployment insurance. The solution needed to identify risky unemployment insurance claims, claimants, and employers while also helping states balance the competing requirements of promptness and accuracy of payments.

Results: The DAPM tool, highly acclaimed by the National Association of State Workforce Agencies (NASWA) and the New York Unemployment Insurance Center of Excellence, is scalable and deployable across all states and provides a framework that enables the Center and the states to deploy increasingly sophisticated UI program strategies over time. An estimated $972,000 in recoverable and $392,000 in non-recoverable overpayments savings were projected annually using this fraud detection tool. The automated scoring algorithms directly improved the speed, quality, and consistency of claim determinations and the plan is to implement the DAPM tool nationwide over the next few years.

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