Data Management

Leveraging Enterprise Data to Your Highest Advantage

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Through our Data Management (DM) practice, CORMAC helps customers realize the benefits of a unified data environment and sound data governance. This ensures enterprises have quick, secure and reliable access to the data they need.

We assist organizations in making the best possible use of the vast volumes of data they collect, produce, store and access every day. Drawing from DAMA International’s Data Management Body of Knowledge (DMBOK), CORMAC applies global best practices for acquiring, validating, storing, protecting, and processing enterprise data for better analysis and decision making.

Capabilities

Big Data.

CORMAC develops flexible data architecture to handle enterprise data sets that are too large and complex for traditional data warehouses. Using cloud computing, we deploy both structured and unstructured data to modern tools, such as MapReduce, data lakes and IBM’s Hybrid Data Management (HDM). We build big data stores leveraging emerging technologies and methods that include IoT, edge computing, in-memory computing, augmented data management, and continuous intelligence (CI).

Data Modeling.

CORMAC applies data modeling expertise for traditional systems as well as Big Data and NoSQL. When designing or re-engineering databases, our experts diagram the data flows throughout an organization to support that organization’s business requirements. This provides a logical structure for the database to ensure it aligns with customer needs.

Data Catalog and Enterprise Metadata Management.

CORMAC enables organizations to find, inventory, and analyze vastly distributed and diverse data assets. Our experts help customers design and implement data catalogs and manage the metadata tied to data assets across their organization. This allows analysts to easily search and retrieve data by attribute, such as data domain, compliance risk, trustworthiness or usefulness.

Data Wrangling.

We clean and unify complex data sets so they are easier to access and analyze. Our work includes transforming or mapping high-volume data, making it more valuable and useful for future analysis and machine learning. Our self-service data wrangling model allows analysts to tackle complex data more quickly and produce more accurate results, enabling more informed decisions.

Data Integration.

CORMAC consolidates data from disparate sources into a single view. Ultimately, this enables analytics tools to produce intelligence that is complete, correct and actionable. In addition to the traditional ETL/ELT techniques, we use modern data integration frameworks such as API-driven data integration, common in-memory data interfaces, and machine learning to create smart data integration assistants for embracing no-ETL approach.

Data Security.

With proven expertise in data security and federal regulations for data privacy and protection, we help customers fully realize the benefits of big data without sacrificing security. Our experts work with customers to mitigate security challenges inherent to big data, ranging from fake data generation to distributed frameworks.

Other Areas of Expertise

Data Analytics
Using data science and business intelligence tools, we provide the power to turn raw data into insights and opportunities.
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Digital Services
We use best practices such as Agile and human-centered design principles to deliver digital solutions.
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Health Information Technology (HIT)
We develop custom solutions in data management and analytics to strengthen performance in public healthcare programs.
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Emerging Technologies
Through collaboration, we explore new applications for AI and other capabilities to solve unique customer challenges.
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Related Work

Healthcare Data Warehouse: 62+ Billion Claims and 2+ Petabyte Size
The nation’s largest healthcare payer engaged CORMAC to help build a big data repository that integrates complex Medicare Parts A, B, C, D Claims, as well as beneficiary and provider data. The big data repository is the backbone to analytics that helps the customer better support new healthcare models under the Affordable Care Act (ACA); curtail Medicare fraud, waste and abuse (FWA); and reduce improper Medicare payments.
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Data Visualization and Storytelling using Human Centered Design (HCD)
For over 10 years, CORMAC has specialized in visualizing complex enterprise data to reveal the performance of various programs and mandates. Using Agile and HCD techniques, we’ve built 40+ dashboards, including the Affordable Care Act (ACA) dashboard used by the White House, the New Medicare Card Project (NMCP) dashboard for HHS/CMS management, and the Medicare Administrative Contractor (MAC) performance dashboard for CMS administration.
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Preventing Healthcare Fraud, Waste, and Abuse (FWA)
CORMAC built a system to curtail payments to excluded providers in support of HHS/CMS’ program integrity efforts. The repository and its data-driven alert system leverage Data as a Service (DaaS) to collect, store and analyze provider exclusion data from the Office of Inspector General (OIG). It shares this information with stakeholders via a public-facing website, helping them identify and deny claims submitted by excluded providers.
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Health Quality Measures Reporting
In support of the five Post-Acute Care (PAC) Quality Reporting Programs (QRPs) under the ACA and IMPACT Act, CORMAC collects health quality measure data, performs advanced analytics and produces compliance reports. This work helps determine compliance status for Hospice, IRF, LTCH, SNF and HHA QRPs, resulting in reduced cost and improved quality of care.
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Healthcare Data Registry to Support Healthcare Innovation
In support of the ACA, CORMAC created and maintains the Oncology Care Model (OCM) DataRegistry. Implemented in AWS cloud, the Registry collects demographic, clinical, and staging data and quality measure performance data on up to 200 oncology practices. Our work promotes practice transformation, supporting better health outcomes and reduced costs for beneficiaries.
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Artificial Intelligence (AI) for Past Performance Evaluation
Past Performance Evaluation is a tedious and time-consuming process for the federal government. CORMAC completed Phase 1 of a prototype to determine the extent to which AI can assist contracting officers in making more efficient and effective use of CPARS data. The CPARS AI prototype used CORMAC’s CREPES product, which leverages Machine Learning (ML), Natural Language Processing (NLP) and Data Visualization.
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Data Modernization: Migrating 500 TB of Medicare Claims Data
The nation’s largest healthcare payer engaged CORMAC to help build a big data repository that integrates complex Medicare Parts A, B, C, D Claims, as well as beneficiary and provider data. The big data repository is the backbone to analytics that helps the customer better support new healthcare models under the Affordable Care Act (ACA); curtail Medicare fraud, waste and abuse (FWA); and reduce improper Medicare payments.
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Enterprise Database Administration – Managing 500+ TB of Complex Medicare and Medicaid Data 
DBA is a major component of supporting the agency’s information systems and achieving effective, up-to-date health care coverage to promote quality care for beneficiaries. Our innovative DBA services ensure secure operational effectiveness and efficiency as well as availability of CMS Oracle and SQL Server databases.
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