
Evolution of WISEdata: Enhancing Data Reporting and Integration
Explore the evolution of WISEdata from chaos to clarity, highlighting key milestones such as the origins, technological upgrades, and improved data validation. Learn about the shift to real-time data integration and the journey towards enhanced reporting and interoperability.
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Presentation Transcript
From Chaos to Clarity: From Chaos to Clarity: Elevating WISEdata for Enhanced Reporting and Integration Jaidaa Shafaei Product Owner / Scrum Master WISEdata Collections Team Applications Development and Management
Topics WISEdata Evolution Importance of Early Data Reporting Ensuring Data Quality Interoperability and Integration Expanding Data Collection for Local Use 2
From Chaos to Order: The Origins of WISEdata WISEdata has evolved significantly from its origins. The adoption of Ed-Fi enabled API-driven data integration. The initial focus on choice schools expanded to include public schools. 3
The Vintage ISES ISES (Individual Student Enrollment System) was Wisconsin's first student-level data collection system. 4
The OG WISEdata Portal The WISEdata Portal launched in 2015-16, offering basic data collection and submission features. WISEdata marked a solid shift to real-time data integration and flexible submission. 5
The Journey from Chaos to Clarity Since its inception, WISEdata has undergone significant changes. Let s take a quick look at some key milestones. 6
The Evolved WISEdata Portal WISEdata as a growing ecosystem: Broadening support across various data categories, Undergoing continuous enhancements, and Improving validation capabilities to better serve evolving needs. 7
Taming the Chaos: Transformations in Technology WISEdata has implemented significant technological upgrades: Data standards upgrades (v2 to v5) API version updates (v2 to v7) Adapted to SCED updates Ensuring curriculum data is current and accurate 8
Clearing the Fog: Enhancing System Interoperability Better Interoperability = More Useful Data Initiatives include: Identity management APIs for students and staff. Seamless integration of WISEdata to feed data to WISEid on a nightly basis. Integration with the WI immunization registry, validation rules, and address verification. Pupil Count Module for improved tracking (in pilot phase) Source: Education Analytics 9 9
Collective Responsibility in Achieving Clarity Achieving data clarity requires collaboration across all teams. Imagine the possibilities with seamless data flow and fully connected systems! 10 10
Establishing Clarity: Strategies for High Data Quality Assess data regularly and ensure interoperability Focus on source data daily to prevent errors. Empower staff to own data quality processes. Sync data consistently and address issues proactively. Review and correct errors regularly. Use tags and filters for clear reporting. 11
Clarity in Timing: The Impact of Timely Data Submission Moving from chaos to clarity isn t just about meeting deadlines. A culture of timely, accurate, and consistent data submission. 12
Clarity Beyond Compliance: Maximizing Data Collection Data collection is more than compliance. Interoperability allows for seamless integration of data from various systems. Source: Education Analytics 13 13
Questions? Scan the QR Code to go to the WISEdata 2025 Conference webpage. You can leave feedback, view the agenda, read about the sessions, and more! Thank you! Email: jaidaa.shafaei@dpi.wi.gov