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The goal of the Indio SPI was to develop a data-driven project to better understand, predict, and reduce burglary patterns in the city. The Indio SPI team compiled four datasets covering up to 10 years of historical data to support analysis of (1) police data on burglary and truancy arrests; (2) probation data; (3) school data on unexcused absences; and (4) census data from 2000 to 2010. Using this data, Indio SPI produced a database to identify trends in residential and commercial burglaries and conducted a mapping analysis that suggested truancy precedes burglary by one to two years in specific locations. The team identified a migration of truancy arrests from the southwest to the northeast side of the city, followed by a similar trend in burglary arrests a few years later.