2013 Enterprise Track, Building the Spatial Enterprise for Denver Public Schools by Matthew Baker and Robb Menzies

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The Planning and Analysis department at Denver Public Schools is the center of support for the 2nd largest school district in the State of Colorado, and spatial data is a crucial enabler of most of the analysis that is done in our department. Recently, however, we begun to re-think how our data could be used, and started a complete overhaul of our planning database.

This session will examine the use of maps and analysis at DPS, the process of merging our Geographic Information System with a Spatial Information Technology workflow, and how this new database serves the needs of analysts throughout the district.

Topics covered will include how we use spatial data, SQL analysis, and GIS processes to support the workflows of our analysts, the tools used to create the new database design, load data, and test it across the enterprise, and where our spatial and SQL analysis will go in the years to come.

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2013 Enterprise Track, Building the Spatial Enterprise for Denver Public Schools by Matthew Baker and Robb Menzies

  1. 1. Building The Spatial Enterprise for Denver Public Schools Robb Menzies GIS Specialist Matthew Baker Spatial Information Manager
  2. 2. DPS Overview ● Fastest Growing District in CO ● 84,424 Students – About to become largest district in CO ● 120 Languages ● 172 Schools
  3. 3. DPS Student Ethnicity
  4. 4. DPS Student Performance
  5. 5. Overview Planning & Analysis ● DPS Administration Building ● Demographic Analysis and Projections – ● Student Demand and Performance Capacity and Resource Planning – Strategic Regional Analysis (SRA)
  6. 6. Special Challenges ● NCLB – ● DPS one of first districts in US to close school School of Choice Process – – ● ● Choice Zones vs. School Boundaries ½ of students choice “out” Aggressive Implementation of Charter and Innovation Schools School Phase In / Phase Out
  7. 7. History DPS GIS ● Originally Planning and Transportation had separate GIS ● GIS Specialist created to bridge gap ● Transportation later silo'd to non-GIS routing ● GIS managed by Planning & Analysis and served to enterprise systems
  8. 8. Spatial Data and Client Applications
  9. 9. Overview DPS Enterprise Students Teachers Principals Superintendent Administration Infinite Campus (IC) Enterprise DB Planning & Analysis
  10. 10. Spatial Data Primary ● School Points ● Boundaries ● Address Points ● Student Households (addresses) ● Planning and Forecast Regions ● Transportation ● October Count
  11. 11. Address Point File ● Currently ~280,000 geocoded address points – ● Infinite Campus (IC): Central Database – ● Origin and source of truth for student data Weekly sync to IC addresses and GIS addresses – ● Student Household locations IC doesn't (yet) store spatial data! Upcoming Internship with CO OIT – Emily Griffith Technical College
  12. 12. Spatial Data Other City & County of Denver ● Parcels ● Street Centerlines ● Election Precincts ● Police Districts ● Block Groups ● Blocks ● Tracts ● Birth data Neighborhoods ● Census ● Historic Landmark Districts ● Zoning ● Land Use ● Council Districts
  13. 13. Clients DPS Enterprise ● School Matrix – Address Point with Boundary, Grade Info ● Business Intelligence ● IC ● Operational Data Store (ODS) ● Colorado Department of Education – CDE Pipeline
  14. 14. Clients DPS School Locator ● Enter Address ● Get: – Boundary Schools ● ● ● – Elem Mid High Transportation Info ● ● http://maps.dpsk12.org/ ArcGIS Server Google Maps API
  15. 15. ● ● ● ArcGIS Online-based Application Enabled non-GIS users in Facilities to digitize and prioritize irrigation areas at all DPS facilities Took 2 days to complete!
  16. 16. Building the Spatial Enterprise
  17. 17. Design Tasks Initial ● Identify and Interview users and stakeholders ● Design GIS database ● DEV / QA database design ● Implement production ● Applications – Re-build ArcGIS Server – Re-build web applications
  18. 18. Workflow Example SQL Data Pull IC
  19. 19. What's Broken? ● Broken Data links – SQL to Excel – SQL to Map ● ArcGIS creates spatial data ● SQL Server creates tabular data ● How to blend?
  20. 20. Improvements ● SQL Server “Workspace” – Planners Build and Use Spatial Functions – Storing Query Views ● ● ● Use in Excel Use in ArcMap (spatial views) ETL Automation – From DPS Enterprise ● – To SQL Workspace To / From SDE ● To DPS Enterprise
  21. 21. Workflow Target Planning & Analysis SQL Spatial ODS GIS DPS Enterprise
  22. 22. Tools Used ● SQL Server 2012 – Spatial data: geometry ● ArcGIS 10.1 ● FME Workbench ● PGModeler – PostgreSQL database modeler
  23. 23. Thank you! Matthew Baker matthew_baker@dpsk12.org Robb Menzies robb_menzies@dpsk12.org

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