April 10, 2020

How cities can be run with analytics

The municipal archives of every city in the civilization are data mines. You get information from sources as disparate as property taxes and sanitary services. All this data had been gathering dust for years as governments did not know how to use it nor did they have the technological support to find worth in those vast heaps of apparently useless information. Not any more. Cities have changed, so have the people. My father just paid the electricity bills while lying on the bed and even received a discount, and he loves it. Change and development is not a new age or Gen Y thing, everyone can benefit from it in their own way.

Hence, the mayor now wants to analyze sewer data and weather data in order to pre-plan the treatment of flooded streets way before they are flooded; way to go mayor! With IoT and machine learning at their disposal, all that the cities need is able data analytics professionals who can make sense of all the data.

Buenos Aires waking up to floods

The Argentine capital was plagued by chronic floods. One time nearly 100 people were killed and thousands had to be evacuated. They could not have it any more so they put sensors on 30,000 drainage pipes to monitor the water levels in 1500 kilometer long pipeline. The data was uploaded to the cloud and the workers could monitor the data in real time and they sprang to action whenever there were debris or blockades. They could also alert the citizens about the possibility of flooding so that proactive measures could be taken.

Taxation made easy in Queensland, Australia

The state revenue office in Queensland used machine learning to sort through 187 million tax records from 97,000 tax payers to find patterns. The system could predict who is likely to make a tax default with 71% accuracy. They could also identify the non taxpayers. Thus they could device several different ways of reaching out to the citizens with hard worded letters or better paying terms as and when required.

The French city of Antibes uses machine learning to stop terrorism

There is no easier way to wreak havoc than poisoning a city’s water reservoir. France is no stranger to terrorism the beautiful nation has been targeted time and again by anarchist and terrorists. The governing body of Antibes has put sensors in 200 kilometers of pipeline under the city’s water reservoir. These sensors will trigger an alarm whenever there is an intrusion in the water supply.

From traffic control to sewer management to countering infectious viruses, data analytics can be the saviour for a city. As the public sector keeps on integrating data analytics there will be an increased demand for data analysts. Be ready, enrol for a data analytics course now.