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Platform Support

Services

Modernizing Legacy Systems:

Automation of processes, workflows, and leveraged data to enhance productivity and migrate to secure, scalable, and cost-effective cloud-based platforms.

733 Workflows and Dashboards replicated and updated via state transfer integrated eligibility solution, significantly accelerating implementation efforts

Salesforce Expertise:

Implementing and customizing Salesforce solutions to enhance agency capabilities.

Led the design and development of a single digital platform for Medicaid members to view all their benefits through one log-in.

Business Intelligence:

Leveraging data insights to improve decision-making and program effectiveness.

Increasing employment and training enrollment and provider retention through automated workflows and streamlined claims processing.

Data Management and Integration:

We Assist clients in organizing, storing, integrating and governing their data effectively. Offer services such as data integration, data warehousing, data migration, data governance, and meta data management. Assist in data infrastructure setup, including data storage, processing, and integration

Data Visualization and Business Intelligence (BI):

We develop visually appealing and interactive dashboards, reports, and analytical applications to help clients gain insights from their data. Utilize tools like Tableau, Power BI, or custom visualization frameworks.

Advanced Data Analytics:

We Perform in-depth analytics on client data to uncover patterns, trends, and correlations. Offer services such as predictive analytics, descriptive analytics, prescriptive analytics, and data mining.

Data Science and Machine Learning:

We apply machine learning algorithms and data mining techniques to extract valuable insights from large datasets. Offer services such as classification, clustering, regression, and recommendation systems etc.

Data Strategy and Consulting:

We provide strategic guidance to clients on leveraging data as a strategic asset. Help define data-driven business objectives, develop data strategies, and identify growth opportunities.

Data Quality and Governance:

Assess and improve the quality of client data, ensuring accuracy, consistency, and compliance with data regulations. Provide services like data profiling, cleansing, enrichment, and data privacy / security measures.