Police Data Mining Done Right
It’s nice to find an example of the police using data mining correctly: not as security theater, but more as a business-intelligence tool:
When Munroe took over as chief two years ago, his department was drowning in crime and data. Police had a mass of data from 911 calls and crime reports; what they didn’t have was a way to connect the dots and see a pattern of behaviour.
Using some sophisticated software and hardware they started overlaying crime reports with other data, such as weather, traffic, sports events and paydays for large employers. The data was analyzed three times a day and something interesting emerged: Robberies spiked on paydays near cheque cashing storefronts in specific neighbourhoods. Other clusters also became apparent, and pretty soon police were deploying resources in advance and predicting where crime was most likely to occur.