DC Education Data Collaborative A vision for the proposed evolution of education data analytics in the District of Columbia public K-12 system

Current common data analysis practice… Step 1. Manually download multiple tables from student information system Step 2. Manually download additional student, school, and teacher data sources

Current common data analysis practice… Step 3. Perform magic in Excel using things like VLOOKUP and IFS formulas to “integrate” data Step 4. Examine data integrity using pivot tables

Current common data analysis practice… Step 5. Create tables for charts and then design multiple charts Step 6. Copy tables to a master dashboard, save as PDF, and send to school leader

Problems with current practice Time suck to manually download data and create required formulas in Excel over-and-over every time a new dataset is analyzed Requires certain Excel formula expertise to develop more complex metrics Very manual process leads to many potential points for error Oh yeah, and did we mention this is a very time intensive and repetitive process that does not allow for individual data discovery?

Vision for evolved education data analytics Phase 1. Create automatic data integration from source systems to one Ed-Fi aligned data warehouse

Phase 2. Using a data visualization tool, create interactive dashboards for school leaders using common metrics …school-level dashboard Student-level dashboard…

Phase 3. Add streams of school comparison points from the DC Education Data Collaborative data store

Phase 4. Schools create data sharing partnerships using the Data Collaborative’s new sharing management app

Phase 5. School dashboards now show updated information with data sharing partners identified

Phase 6. Advance school dashboards from common education metrics to sophisticated measures designed to find impact on student achievement Phase 7. Provide data coaching and support for all systems and to increase usage of advanced measures