Thursday, August 18, 2011

High Tech Or Low Tech, Crime Analysts Solve Crimes

Yesterday I posted about a very high tech way crime analysts are solving crime problems in their community, that is using predictive policing. Today, we have a story about a lower tech method but one that also works. The Orlando Sentinel has this story of a Daytona Beach Police crime analyst solving crimes like this one:

Jackie Flory was reviewing reports from the arrest of two suspects last week when she ran Matthew Tibbs through a state computer system and realized he fit the description of a man who had robbed several stores.

She also noticed that he owned a car that matched the description of the getaway car in an Ormond Beach heist, an arrest affidavit said.

On Monday, police charged Tibbs with robbery in a July 28 holdup at the Publix at 1500 Beville Road in Daytona Beach.

He is also the primary suspect in other robberies in Ormond Beach and South Daytona, according to the arrest report. In each robbery, the suspect wore a different hat.

One of the keys to a successful crime analysis program is developing your crime analysts to become "the local crime experts". In fact the excellent book Crime Analysis For Problem Solvers has a chapter devoted to this concept which I have previously written about here.

Crime analysts need to have time set aside in their day to review cases that come in to your department. There is nothing like this 'eyes on' approach to detecting crime series. For all the great things crime analysis software can do, nothing beats the intuition of a seasoned analyst.

Does your analyst have the time to spend reviewing cases at your agency? What are you doing to help them become "the local crime expert" in your community?

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