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Education Data & AI Analytics

Turning CCRPI Data into Actionable School Insights

A cloud-based analytics solution for the College and Career Ready Performance Index (CCRPI).

Turning CCRPI Data into Actionable School Insights

Executive Summary

  • AANSEACORE completed a CCRPI analytics use case designed to reduce the manual effort required to collect, consolidate and interpret education performance data. The solution brings together CCRPI-related information and presents it through intuitive cloud-based dashboards and reports, enabling school and district leaders to review key performance dimensions and use the resulting insights to support improvement decisions.
  • Note on results: The source use-case document defines the intended benefits and operating model but does not provide quantified post-implementation KPIs. Accordingly, this case study describes the successful completion and delivered capabilities without inventing numerical impact.

The Challenge

  • CCRPI is Georgia's annual accountability framework for measuring how effectively schools, districts and the state support student college and career readiness. The original use case identified a recurring operational challenge: principals and administrators were spending considerable time collecting CCRPI data and related information, then consolidating and analyzing it before they could make timely strategic decisions.
  • The opportunity was to replace fragmented, labor-intensive analysis with a cloud-based capability that could organize the data, surface relevant indicators and make information easier to consume through dashboards.

The Solution Delivered

  • AANSEACORE implemented a data and analytics solution centered on CCRPI. The delivered approach organizes relevant education data into a model that supports role-appropriate dashboards and reports for school and district stakeholders.
  • Analytics across Achievement, Progress, Achievement Gaps, Challenge Points, Performance Flags and Star Ratings.
  • Cloud-based dashboards and reports designed for principals, teachers, technology leaders and district leadership.
  • Data integration across school Student Information System (SIS) data, district technology-usage information and GADoE-published data, with other local records considered where applicable.
  • A feedback-oriented operating model so stakeholder corrections and enhancement requests can be incorporated into subsequent data or feature updates.
  • Training and handoff designed to help end users navigate, interpret and appropriately use the insights.

Business Challenges

Time-intensive collection, consolidation and analysis

How the Use Case Was Executed

1. Discovery

Engaged school leaders to understand how school performance was measured and assess maturity in using CCRPI data.

2. Requirements

Mapped CCRPI indicators and additional analytical needs across Achievement, Progress, Achievement Gap and Challenge Areas.

3. Agile Development

Used incremental, sprint-based demonstrations so direct stakeholders could shape the solution through recurring feedback.

4. Training & Consumption

Made dashboards available in the cloud and prepared direct stakeholders to access, navigate and derive insights from the solution.

Data Foundation

The use case mapped analytical concepts to specific data sources. Achievement and achievement-gap analysis draw on school SIS and student performance data; progress can incorporate district technology-usage statistics and test results; challenge-point analysis can combine school performance information with GADoE annual data and school initiative tracking; performance flags and star ratings use school and GADoE-published performance information.

Business Impact

Centralized analytics: A more consistent view of CCRPI performance dimensions across relevant data sources.
Timelier insight consumption: Leaders can review dashboard-based information without first recreating the full consolidation process manually.
Role-based reporting: Different stakeholder groups can receive the dashboards, reports and insights appropriate to their responsibilities.
Improvement-oriented analysis: Achievement, progress, gaps, challenge points, flags and ratings can be reviewed together to identify areas requiring attention.
Governed adoption: Training, access controls, data-quality checks and feedback mechanisms support responsible ongoing use.

Technology Footprint

Microsoft FabricOpenAIPythonShell ScriptingPower BI

Responsible AI, Security and Governance

Responsible AI considerations were built into the use-case design. The framework addressed fairness, reliability and safety, transparency, privacy and security, accountability, and inclusion.

  1. Fairness

    Planned testing for discrepancies across identified groups, including use of Fairlearn where applicable.

  2. Reliability

    Source-data quality assurance, end-user training and resilience planning for source-system maintenance or interruptions.

  3. Transparency

    Traceability of consumed data elements, documented communication of model limitations and channels for stakeholder feedback.

  4. Security

    Role-based access control through Azure Active Directory, approved permissions by stakeholder group, and Azure firewall/security layers.

  5. Governance

    Joint review by AANSEACORE and OEA, performance governance, continuous data-quality inspection and instructor-led/train-the-trainer enablement.

Business and Education Value

With the use case successfully completed, the primary value is a reusable analytics capability that centralizes CCRPI-related information and makes it easier for education leaders to move from raw data to interpretable insights. Instead of relying on manual consolidation alone, stakeholders can consume structured dashboards and reports tailored to their decision-making needs.

Key Takeaways

  • CCRPI reporting becomes more actionable when data collection, modeling and visualization are treated as one connected workflow.
  • Stakeholder participation throughout discovery, requirements, agile development and training helps align analytics with real school-leadership needs.
  • Data quality, human interpretation and responsible AI controls remain essential even when dashboards make insights easier to access.
  • The completed solution establishes a foundation that can be extended with additional indicators, data sources and stakeholder-specific views.

About the Use Case

  • The initiative was developed under Open Education Analytics (OEA) as an AANSEACORE Data and AI use case focused on the College and Career Ready Performance Index (CCRPI). The source material positions school leaders, educators and institutional leaders as direct stakeholders, with students and parents among the intended beneficiaries.
  • Source file - GADOE CCRPI Reporting System.

The completed solution establishes a foundation that can be extended with additional indicators, data sources and stakeholder-specific views.