Police Data-Mining Done Right
enharmonix writes "Courtesy of Bruce Schneier, it's nice to hear something good about data mining for a change: predicting and stopping crime. For example, police in Redmond, VA, '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.'"
Do they really need to spend thousands of dollars analyzing data to determine there's more crime around check-cashing stores on paydays?
Offshore, if we're lucky.
The cops busted him outside a check cashing joint on payday.
I cried real tears when Li Mu Bai died.
Which check-cashing place do you go to?
I cried real tears when Li Mu Bai died.
After you've been robbed if the police don't respond quickly enough simply call back and tell them not to worry about it, you've caught the thieves and you shot them. It's amazing the turnaround time.
Buckle your ROFL belt, we're in for some LOLs.
Wow. Over here, companies use direct bank transfers to pay their workers' salaries, and have done so for at least 30 years now. I've no need to ever carry large amounts of cash or cash-analogue paper (checks).
Is the US banking industry really that backward? How come?