Miami-Dade Police Department: Leadership Series Video
Using statistical analysis to find similarities in crime patterns helps break cold cases.
The Miami-Dade Police Department uses IBM Smarter Cities strategies and SPSS models to analyze cold robbery cases against historical crime data to uncover insights and catch repeat offenders -- making streets safer for citizens and tourists.
Using a Smarter Cities framework, Miami-Dade Police Department filters current crime data through historical crime patterns to provide detectives with breakthrough insights.
Instrumented: Key crime details, from location to modus operandi, are captured by detectives early in the investigation and fed into the Blue Palms model.
Interconnected: By integrating all of the department’s data from previously solved crimes into a common repository, the system identifies a series of distinctive crime signatures or common patterns.
Intelligent: By analyzing the data from unsolved cases against known crime signatures from solved cases, the model’s algorithms can identify specific high-probability suspects, thus enabling detectives to focus their investigative resources on the most likely individuals.
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