Mathematica

Improve performance, adapt programs sooner, and make more timely, confident decisions using evidence and action-ready analytics.

Build trusted, connected data foundations that help organizations make better decisions, move faster, and turn complex information into actionable insights.

Helps organizations identify effective approaches, improve outcomes, and make informed decisions with credible, action-ready evidence.

Helps healthcare organizations use pricing data to identify opportunities, strengthen positioning, drive growth, support advocacy, and advance research.

Connect with multidisciplinary experts to drive innovation, streamline operations, and pursue ambitious goals.

Build secure, future-ready data foundations to support organizational needs and prepare for evolving technology.

Build a tailored data foundation that helps your organization make smarter decisions and turn information into action-ready insights.

Helps state agencies and rural healthcare organizations identify care and financial risks, plan services and investments, and strengthen access, outcomes, and long-term sustainability.

Helps state SNAP agencies improve payment accuracy, strengthen operations, modernize systems, and sustain access to benefits through tailored analytics and technical assistance.

Helps TANF and workforce programs strengthen engagement and support lasting progress toward economic independence.

Use Medicare and Medicaid expertise to develop and maintain measures that help assess and enhance healthcare services.

Supports high-quality care for infants and toddlers in early learning settings through an evidence-based tool.

Builds teams’ skills and capacity to strengthen research, evaluation, reporting, and program improvement.

Evaluate academic, government, or foundation programs and gather evidence about them with a free platform.

Helps state Medicaid agencies prepare T-MSIS data efficiently so they can use it for advanced analytics.

Understand people’s needs and community perspectives to solve problems and improve programs with innovative solutions.

Help organizations use AI to strengthen evidence and decisions, streamline work, and improve services while keeping transparency, accountability, and expert oversight in view.

Analytics & Operations

Mathematica provides practical, evidence-driven analytics and operational support to help organizations respond to changing conditions, improve performance, and make better decisions. Services include performance metrics, real-time operational analytics, evidence-informed improvements, advanced analytics, data visualization, data management and governance, rapid-cycle evaluation, and Bayesian methods that update insights as new data become available.

Category: Data Analytics Services

• Track And Improve Performance
  Monitor effectiveness and identify opportunities to refine programs, support learning, and strengthen accountability.
• Act On Timely Insights
  Give leaders information while there is still time to respond, helping programs adapt and keep time-sensitive goals on track.
• Turn Evidence Into Improvements
  Apply evidence to operational changes that help programs improve performance and respond to emerging challenges.
• Test And Refine Strategies
  Assess improvement strategies in real time to support timely refinements and confident decisions.
• Update Insights With New Data
  Incorporate new data into analysis to provide timely, action-ready evidence for decisions.
• Predict Impact And Manage Costs
  Assess potential impact, manage costs, and inform better decisions.
• Scale Insights Through Collaboration
  Share knowledge and build organizational capacity to extend useful insights and support learning and innovation.
• Clarify Complex Information
  Use visualizations and dashboards to make complex concepts easier to understand and communicate.
• Manage And Govern Data
  Support secure data management and governance designed to enable compliance, continuity, and AI readiness.

Data Solutions

Mathematica helps organizations build trusted data foundations through flexible, technology-agnostic development of data platforms, warehouses, predictive models, and analytics tools. Teams integrate and enrich large, complex datasets and build secure, interoperable data infrastructures that support reliable, transparent analytics and AI. Solutions are designed for organizational needs across cloud platforms, BI tools, and programming languages, with governance and transparency built in. Data management and scalable, tailored data governance support secure handling, compliance, continuity, and AI readiness. Technologists collaborate with subject matter experts experienced in public program operations and evaluation.

• Adapt Data Solutions To Your Technology
  Use solutions designed for organizational needs across platforms and technology stacks, with governance and transparency built in.
• Connect And Enrich Complex Data
  Integrate complex datasets within secure infrastructures that support reliable, transparent analytics and AI.
• Build Data Platforms, Models, And Tools
  Develop data assets that support trusted data foundations and informed decisions.
• Strengthen Governance And AI Readiness
  Apply tailored data governance to support compliance, continuity, and AI readiness while building a trusted foundation for analytics and AI.
• Align Solutions With Program Needs
  Combine technology expertise with knowledge of public program operations and evaluation so solutions reflect organizational requirements and opportunities.
• Manage Data Securely From One Location
  Manage data securely from a central location and optimize how it is handled.

Research & Evaluation

Mathematica helps government and industry leaders uncover what works and why through research, evaluation, monitoring, and learning services. Work includes experimental, quasi-experimental, and mixed-method evaluations; cost-effectiveness analyses; implementation and impact studies; evaluation design; policy analysis; surveys; and technology-enabled data collection. Support can also span performance measurement, MEL frameworks and learning agendas, rapid-cycle and developmental evaluation, evidence-informed strategy and program design, capacity building, workshops, communities of practice, and dissemination. Evaluations reflect real-world environments and incorporate human-centered design and community perspectives to produce credible, action-ready insights.

• Identify What Works
  Choose appropriate questions and methods to assess program and policy effectiveness and inform decisions.
• Assess Real-World Results
  Understand program impact and implementation to identify what drives meaningful change.
• Adapt Programs With Timely Evidence
  Use rapid-cycle evaluation and real-time learning to refine strategies and adjust work while it is underway.
• Set Goals And Track Progress
  Frameworks, learning agendas, metrics, and dashboards help organizations define goals, identify learning needs, and monitor progress.
• Strengthen Programs Through Ongoing Learning
  Use small-scale tests and evidence-driven adjustments to identify challenges, improve approaches, and consider whether to expand them.
• Inform Decisions With Analysis
  Examine program value and policy options to support informed investment, program, and strategy decisions.
• Ground Program Design In Evidence
  Use evidence and planning support to shape strategies and program designs around relevant findings and intended results.
• Capture Reliable Data
  Gather reliable research and evaluation data using survey operations and technology-enabled collection methods.
• Strengthen Internal MEL Capacity
  Build the skills and practices needed for measurement, evaluation, and learning.
• Share Insights And Collaborate
  Create opportunities to share evidence and learning, collaborate, and connect insights to strategy and practice.
• Maximize Resources And Manage Initiatives
  Use evidence-based strategies to maximize available resources and receive support managing grant initiatives.
• Include Community Perspectives
  Bring human-centered design and community perspectives into research and evaluation.
• Turn Findings Into Action
  Translate and share evidence so decision makers and practitioners can use findings to shape strategy and improve programs.

PricePrism™: Advanced Price Transparency Intelligence Platform

PricePrism is a suite of price intelligence tools, analysis, and data intelligence services for healthcare professionals and organizations, including providers, physician practices, and medical associations, colleges, and societies. It leverages pricing data to support opportunity creation, positioning, growth, advocacy, and research.

• Use Comprehensive Pricing Data
  Access pricing data and intelligence tools to inform price transparency work.
• Identify Opportunities And Support Growth
  Use pricing data to identify relevant opportunities, enhance positioning, and support organizational growth.
• Advance Advocacy And Research
  Use pricing data and analysis to support advocacy efforts and research.

Mathematica's Data Innovation Lab

Mathematica's Data Innovation Lab is a data sandbox for changemakers. It connects organizations with data scientists, social scientists, and technologists to help drive innovation, streamline operations, and achieve ambitious goals.

• Access Cross-Disciplinary Expertise
  Work with data scientists, social scientists, and technologists through a collaborative, multidisciplinary resource.
• Drive Innovation And Streamline Operations
  Partner with multidisciplinary experts to advance innovation and streamline organizational operations.
• Pursue Ambitious Goals
  Use multidisciplinary expertise to work toward ambitious organizational goals.

Data architecture

Mathematica provides data architecture services to help organizations build secure, future-ready data foundations.

• Build Secure, Future-Ready Data Foundations
  Develop a data foundation designed to support security and future organizational needs.

Data strategy

Mathematica develops data strategies tailored to each organization, laying the foundation for smarter decisions. Work can include support across data collection, analysis, and governance, as well as modernizing and connecting data systems to turn complex information into clear, action-ready insights.

• Build A Strategy For Your Organization
  Establish a data foundation designed for the organization rather than relying on a one-size-fits-all approach.
• Connect Data Across Systems
  Link systems to reduce the loss of insights caused by siloed data and support more coordinated, responsive services.
• Govern Data With Greater Confidence
  Support trusted data foundations and management that promote compliance, continuity, and transparent use.
• Turn Data Into Action-Ready Insights
  Connect information to practical insights for understanding what is working, identifying gaps, and informing decisions.
• Modernize Data Systems
  Improve data quality and exchange, reduce manual processes, and support more efficient, connected data practices.

Rural Health Analytics and Technical Assistance

Mathematica helps state agencies and rural healthcare organizations address complex challenges through analytics, policy expertise, and implementation support. Its analytics platform combines advanced analytics, AI, machine learning, and clinical expertise to identify service-line opportunities, unmet care needs, and factors affecting rural hospital sustainability. The service includes integrated and customizable reports, strategic and technical advisory support, and financial modeling to guide care planning, investment, and hospital performance. It also supports evaluation of hospital reopening and the development of care transformation approaches, including value-based care and alternative payment models.

• Identify Rural Care And Service-Line Opportunities
  Use integrated analytics to understand local service opportunities, unmet care needs, and factors that affect rural hospital sustainability.
• Assess Financial Viability And Performance
  Evaluate potential financial effects and use service-line analysis and technical assistance to inform efforts to sustain and improve rural hospitals.
• Support Planning With Tailored Reports
  Use hospital- and state-level reports to support collaboration, care planning, and program reporting.
• Guide Investments And Close Care Gaps
  Develop plans for addressing care gaps, directing investments, and strengthening rural hospital financial viability.
• Combine Relevant Healthcare And Community Data
  Bring together healthcare and community data sources, with the option to incorporate state-specific data, to inform rural health assessments.
• Plan Regional Care And Assess Access
  Use enrollment, service-use, quality, access, and travel-time information to guide care planning and identify access needs.
• Develop Innovative Rural Care Models
  Plan care transformation approaches with collaboration among providers, payers, and technical experts.
• Evaluate Rural Hospital Reopening Options
  Assess the feasibility and potential impact of reopening a recently closed rural hospital to inform state planning.

SNAP Data Analytics and Technical Assistance

Mathematica provides data-informed technical assistance tailored to state SNAP programs, combining data analytics, operational expertise, and hands-on support. The service helps agencies identify performance challenges, design practical improvements, and implement and monitor solutions suited to each state’s context. Support can address payment accuracy, operations and workforce, data and systems modernization, participant access and service delivery, and SNAP employment and training. Services include root-cause analysis, data and case-pattern analysis, workflow and system assessments, analytics and monitoring tools, training, coaching, rapid-cycle testing, and performance measurement.

Category: Data Analytics Services

• Reduce Payment Errors
  Use root-cause analysis, quality-control support, and corrective action planning to address operational drivers of SNAP payment errors.
• Turn Program Data Into Insights
  Use program data and analytics to assess performance and understand potential effects of program changes.
• Strengthen Staff And Workflows
  Identify workforce and workflow challenges and develop practical training, policy, and process improvements.
• Modernize Data And Systems
  Implement tools and system changes that help agencies monitor performance and improve data reliability.
• Improve Access To Benefits
  Improve participant-facing processes and communications so eligible participants can obtain and maintain benefits.
• Strengthen Quality Control Data Use
  Use validated quality control data and related tools to identify performance issues early.
• Implement And Refine Improvements
  Put tailored solutions into practice, monitor progress, use feedback and outcome measures, and adjust approaches as needed.
• Strengthen Employment And Training
  Improve program design and delivery by aligning participant needs, provider capacity, and labor market opportunities.

Goal4 It!™

Goal4 It!™ is a science-informed employment coaching approach for TANF and workforce programs. It is designed to empower economic independence by sparking motivation and change, and helps programs strengthen engagement and support lasting progress. The model can be tailored to specific workforce programs and community needs. It is used by more than 50 communities across 10 states.

• Strengthen Coaching With Science-Informed Methods
  Use a science-informed coaching approach to support TANF and workforce programs as they work to empower economic independence.
• Spark Motivation And Support Lasting Progress
  Strengthen engagement and support lasting progress through an approach designed to spark motivation and change.
• Support Progress Toward Economic Independence
  Provides a coaching approach intended to help programs empower economic independence.
• Tailor Coaching To Program And Community Needs
  Adapt the employment coaching model to fit specific workforce programs and community needs.

Clinical Quality Measure Development

Mathematica provides clinical quality measure development and maintenance, drawing on Medicare and Medicaid expertise to help organizations measure and enhance healthcare services. Its work also includes quality measure monitoring.

• Develop Measures For Better Assessment
  Use clinical quality measure expertise to assess healthcare services and inform efforts to enhance them.
• Maintain And Monitor Quality Measures
  Access support for maintaining and monitoring quality measures as part of ongoing healthcare assessment.

QCIT

QCIT is an evidence-based tool that supports high-quality care for infants and toddlers in early learning settings.

• Support High-Quality Early Learning Care
  Supports high-quality care for infants and toddlers in early learning settings using an evidence-based approach.

Technical Assistance

Mathematica provides teams with skills, support, and tools to strengthen research, evaluation, and reporting. Technical assistance can build measurement, learning, and evaluation capacity and may include tailored training, coaching, practical tools, and implementation support to help organizations improve programs and use evidence in decision-making.

• Build Evaluation Capacity
  Develop the capacity to measure and evaluate programs, apply learning, and inform continuous improvement.
• Strengthen Research Capability
  Build skills and practical support to conduct and use research, develop evidence, and make informed decisions.
• Develop Team Skills
  Help staff build relevant skills and apply practical approaches to their programs and responsibilities.
• Put Improvements Into Practice
  Execute improvements, monitor results, and adjust approaches as teams learn.
• Strengthen Reporting
  Improve reporting and convey program information more effectively.
• Share Learning Across Programs
  Exchange insights and apply shared learning to program improvement.

e2i Coach

e2i Coach is a free platform for evaluating academic, government, or foundation programs and gathering evidence about them.

• Evaluate Programs And Gather Evidence
  Use the free e2i Coach platform to evaluate programs and gather evidence about them.

Imersis®

Imersis is a set of proven tools that helps state Medicaid agencies efficiently prepare T-MSIS data for advanced analytics, backed by Mathematica’s Medicare and Medicaid expertise.

• Prepare T-MSIS Data Efficiently
  Use Imersis tools to prepare T-MSIS data efficiently, supported by Medicare and Medicaid expertise.
• Prepare Data For Advanced Analytics
  Prepare T-MSIS data for advanced analytics so state Medicaid agencies can use it for more advanced analysis.

Human-Centered Design

Mathematica uses human-centered design to understand people's needs, solve problems, and improve programs with innovative solutions. The approach prioritizes human-centered design and engages community perspectives.

• Understand People's Needs
  Understand people's needs as a basis for addressing challenges and improving programs.
• Solve Problems With Innovative Solutions
  Address problems with innovative solutions using human-centered design.
• Improve Programs
  Apply human-centered design and community perspectives to improve programs.
• Engage Community Perspectives
  Bring community perspectives into research and evaluation.

Responsible AI solutions

Mathematica partners with organizations to design and deploy responsible AI solutions built on secure, high-quality, well-governed data. Its approach combines policy and domain expertise, analytic rigor, and human oversight. Solutions include custom tools, automated document analysis, AI-enabled data platforms, and model evaluation, with safeguards for privacy, security, transparency, accuracy, and fairness. Applications support research, policy analysis, decision-making, and agency operations.

• Design AI Around Real-World Needs
  Connect AI design and deployment to client goals, program context, policy expertise, and analytic rigor.
• Build Trusted, Decision-Ready Data
  Create a secure and well-managed data foundation for reliable AI by integrating information across programs and platforms.
• Keep Experts In The Lead
  Preserve expert review so people can verify evidence, interpret findings, and assess alignment with client goals.
• Protect Privacy And Public Trust
  Apply governance controls and vetted tools to support accountable AI use and safeguard privacy, security, and public trust.
• Evaluate AI Before Deployment
  Test AI models on complex data to assess whether and how they can responsibly support accurate, transparent decisions.
• Streamline Complex Workflows
  Use AI-supported tools and analysis to reduce time spent on complex or repetitive work while retaining expert oversight.
• Speed Agency Operations
  Support faster agency processes with governed AI while maintaining accuracy, transparency, and expert oversight.
• Reduce Analysis Costs
  Apply AI to time-intensive analysis tasks; one chatbot helped CMS reduce annual costs for an agency-rule analysis by roughly 94 percent.
• Trace Findings To Their Sources
  Keep quotations linked to their original interviews or focus groups so researchers can verify evidence and interpret findings.