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Law enforcement optimisation

For the municipality of Amsterdam, Xomnia built a user friendly dashboard to optimise law enforcement. Xomnia harvested data from 7 entirely different data sources stored in the municipality’s data silos, such as GPS data from walkie-talkies and text data from fines collected by PDA’s and control room reports. The data was reconstructed and interconnected to enable dynamic data exploring for creating the dashboard.
Xomnia enabled the municipality of Amsterdam to work with data from their silos to retreive completely new steering information, on an operational, tactical and strategical level. Currently Xomnia works on the next step: predictive modelling to enable preventive action which includes 1. Understanding the elements that lead to certain situations 2. Scenario analysis: predicting what, where and with which intensity events occur

Big data consultancy project

Machine learning & Predictive modelling, QlikView & QlikSense

Government

Xomnia empowers our organization with newly gained knowledge that is retrieved out of our own data. We now independently utilize this, without the need of any further technical knowledge or external support. Great job guys, thanks!

Rienk Hoff Managing Director – Gemeente Amsterdam, Handhaving en Toezicht