Enhancing Student Pathways with Common Cloud Data Platform Demonstration Project
Explore how the Common Cloud Data Platform (CCDP) Demonstration Project is revolutionizing student analytics and program support with near real-time data processing. Gain insights into the project team, goals, and benefits to students, including streamlined program completion and enhanced transfer processes.
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Presentation Transcript
Common Cloud Data Platform (CCDP) Demonstration Project VISION 2030 CISOA 2024 Advanced Seminar August 01, 2024
Project Team Gary Moser Jory Hadsell Justin Schultz Rupa Saran Michelle Smith Craig Hayward CCDP Project Coordinator CCDP Project Coordinator CCDP Project Support CCDP Project Lead Visiting Assistant Vice Chancellor CCDP CO Project Manager Vice Chancellor and Chief Information Officer Vice Chancellor and Chief Technology Officer Director, Strategic Planning & Operations, IT Vice Chancellor and Chief Information Technology Officer Visiting Executive for Strategic Research and Innovative Design Equitable Student Learning, Experience, and Impact Office FHDA CCD FHDA CCD Kern CCD Coast CCD CCCCO CCCCO
People Creates an active partnership with a field-driven initiative. Connection to Vision 2030 Resources Frees up valuable staff to focus on other urgent projects. Policy Data governance practices that can inform and advance policy for further development and reforms. Systems Systems development to remove barriers at scale by providing near real-time data, improving student support and programmatic progression and analytics. 3
Single interface for Chancellor s Office to access districts data What is the Common Cloud Data Platform? Establishes a core data architecture and schema Able to streamline MIS and 320 reporting Designed to address a diversity of ERP providers and multiple hosting scenarios (on-premises, cloud, SaaS) 4
What CCDP will Demonstrate Focused on field driven solutions Sync data from districts to CCCCO in modern system Near real-time data to improve student support and programmatic progression and analytics Common data structure Begin with defined data scope, knowing future adaptions will be needed Support for the Cradle-to-Career program and other intersegmental initiatives
Benefits to Students Near real-time student analytics will enhance program mapping and student pathways, thus facilitating smoother program completion with fewer excess units. A foundation for an automatic application and acceptance pipeline to other institutions, thereby streamlining student transfers. Access to near real-time data will improve student support, allowing colleges to shift limited resources more effectively. This will enable them to prioritize institution specific technology initiatives to better address students unique needs. Support for the Cradle-to-Career program and other intersegmental initiatives.
Benefits to Colleges and Staff Streamlined Management Information System (MIS) and attendance reporting will alleviate the burden on over-stretched personnel responsible for MIS/320 reporting, enabling them to prioritize their primary duties. Streamlined data submission processes will eliminate the need for large-scale, complex system migrations. Synchronization of data from districts to the Chancellor s Office will occur in a modern system, ensuring colleges retain control over data submission information. The Chancellor s Office data dashboard will feed near real-time data available at the system level, enabling colleges to rapidly identify enrollment and success trends.
COMIS / 320 Challenges and Desired Outcomes What is What can be One-way transmission at points in time Interconnected system leveraging modern data flows and expanded college, regional, and state-wide insights Each district develops their own quality assurance processes, errors are common Collaborate through near real-time integration, while maintaining local autonomy Little visibility or double-checking on quality processes Share best practices and QA through agreed upon data governance Time-intensive and stressful submission process impacts staff Staff freed up to validate and release final/official reports on behalf of district rather than construct entire report Data submitted at various times, sometimes late / time lag Actionable insights available to colleges and Chancellor's Office
Cloud Data Sharing Partnership Chancellor's Office Dashboard District Dashboards MIS & 320 Reporting Data Driven Decision Making Near Real- Time Data
Initial Participating Districts Coast Community College District: Coastline, Golden West, Orange Coast Kern Community College District: Bakersfield, Porterville, Cerro Coso Foothill - De Anza Community College District: Foothill, De Anza Siskiyous Joint Community College District: College of the Siskiyous Santa Clarita Community College District: College of the Canyons Cerritos Community College District: Cerritos The initial cohort was selected based on a variety of factors, including but not limited to district size, multi- or single- college, executive interest, and to represent a variety of ERP systems. These districts were all participants in 4CIS.
Technical Design & Workflows Modernized MIS/320 Reporting Banner Insights Per-Institution Data Warehouse Insights Per-Institution Data Lake Coast CCD Kern CCD FHDA CCD College of the Siskiyous Experience Per-Institution Insights Reporting Chancellor s Office Dashboard Insights Colleague Unified Data Lake College of the Canyons Per Institution De-Silo & Unify Layer PeopleSoft Per Institution MIS/320 Large Wide Tables Chancellor s Office Data Warehouse Cerritos College Peoplesoft Data Warehouse & Dashboard
Project Timeline Summary (A) MIS and 320 Reporting Business Analysis (A) Cohort # 1: Data Validation and Enable MIS/320 Data Collection via CCDP Solutions (A) Cohort # 2: Data Validation and Enable MIS/320 Data Collection via CCDP Solutions (B) Cohort # 1: Configuration of Required Ellucian and Invoke Learning Components (B) Cohort # 2: Configuration of Required Ellucian and Invoke Learning Components (B) Continued testing and data validation of CCDP solutions (C) Development of Chancellor's Office Dashboard (C) Deployment and Validation of Chancellor's Office Dashboard (D) Cohort # 2: Recruitment Phase One (Oct 2023 - Dec 2024) Phase Two Phase Three (Jul 2025 Jun 2026) (Jan 2025 Jun 2025)
Key Deliverables Technical Deliverables MIS and 320 data available in Aggregated Data Lake ERP and third party data available in Aggregated Data Lake Districts can report on MIS, 320, third party, and ERP data (including transactional data) from within Insights Districts can derive functional and fiscal benefits Modernized MIS/320 Reporting Ellucian Institution Institution Banner, Colleague, Degree Works Insights Data Lake / Data Warehouse Insights Reporting Aggregated 3rd Party Data Invoke Insights Data Lake Data Hub Chancellor s Reporting
Key Deliverables 3-Month Milestone MIS / 320 data in Insights Insights and Experience provisioned Data Connect Import for MIS / 320
Key Deliverables 6-Month Milestone ERP data available in Insights Systemwide Data Lake feeds Invoke 3 x MIS files modernized Validation rules, fast updates
Key Deliverables 12-Month Milestone All MIS / 320 reports modernized Data Connect import for third party data Beta testing of modernized solution
Key Deliverables 15-Month Milestone MIS and 320 files can be generated Decision point for adoption
Additional Information & Updates Project Website & FAQs https://www.cccco.edu/About-Us/Vision-2030/vision-2030- demonstration-projects/common-cloud-data-platform For additional information or to get involved, please contact the project team at ccdp@cccd.edu
Thank you! www.cccco.edu
