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CCSQ Data and Analytics training and resources are now available in the CCSQ D&A Portal. Contents of this Confluence space will be archived in the upcoming weeks. |
About
The CCSQ Data & Analytics space is the place to find resources related to data and analytics to support the CCSQ mission to improve outcomes, beneficiary experience of care, and population health and
reduce health care costs.
This space is under construction. If you have suggestions for additional content on any of these pages, please email HCQIS_Data@hcqis.org with the information.
Image RemovedHCQIS Data & Analytics Modernization
Learn about To support this mission, the CCSQ Data and Analytics effort applies the agile development approach to make information timely, accessible, and secure. The CCSQ Amazon Web Services (AWS) environment is composed of the Centralized Data Repository (CDR) in the HCQIS Cloud and the implementation of CCSQ analytic tools (SAS Viya. Check out the Data & Analytics Quicklook Infographic here!
Image RemovedCCSQ Data & Analytics Community of Practice
The purpose of this CoP is to bring CCSQ data users together to collaborate and share their experiences.
Image RemovedCCSQ Data & Analytics Community of Practice
The purpose of this CoP is to bring CCSQ data users together to collaborate and share their experiences.
Image RemovedNavigating CCSQ Quality Data
New to CCSQ or trying to locate a data resource? This page contains links to help!
Image RemovedCCSQ Data Strategy
This page contains information about data strategy communication. This link will prompt you to log into HCQIS Confluence in order to view.
Image RemovedHCQIS CAADS
Collaborative Advanced Analytics and Data Sharing (CAADS) is a HCQIS analytics platform solution in development, which offers the values of integration, open architecture, best-of-breed, big data, analytics, and end-to-end suite platform.
, Databricks and QuickSight). The CDR consists of single, well-defined, and high-quality versions of all the data entities within the CCSQ organizational ecosystem. The analytics tools provide high-performance, in-memory analytics in an open, cloud-enabled, run-time environment.
The information is organized under four main categories: Training & Onboarding, Data Resources, Analytics & Tools, and Collaboration, as shown in the top navigation bar.
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