{"id":4139,"date":"2017-05-18T07:03:12","date_gmt":"2017-05-18T01:33:12","guid":{"rendered":"http:\/\/www.allerin.com\/blog\/?p=4139"},"modified":"2017-05-17T11:25:28","modified_gmt":"2017-05-17T05:55:28","slug":"big-data-in-disaster-management","status":"publish","type":"post","link":"https:\/\/www.allerin.com\/blog\/big-data-in-disaster-management\/","title":{"rendered":"Big data in disaster management"},"content":{"rendered":"

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The irony is that while a crisis calls for a quick and efficient response, it is often met with chaos and disorganization. All communities, worldwide, are vulnerable to crisis, both natural and human-induced. However, regardless of what is the type of a disaster, disaster management will always need some help in reaching out to those affected and creating safer situations. And that is exactly why big data in disaster management has so much to promise.<\/p>\n

Big data in disaster management: the need<\/h1>\n

While businesses have already been using big data to improve their operations, crisis response teams are turning to big data too. And big data is known for taking unorganized sets of information<\/a> and making them into something comprehensive. During a disaster, more often than not, response teams have to take decisions based on incomplete and inaccurate information. This is exactly where big data fills up the lacuna for right and complete information needed for managing the disaster well. During the 2011 earthquake and tsunami in Japan, or the hurricane Sandy of 2012, or for that matter any other disaster in any part of the world, response teams were struggling with to reach people who needed help quickly.<\/p>\n

Big data in disaster management: the opportunities<\/span><\/h1>\n

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So how exactly can big data improve the way disaster managements are planned and executed?<\/p>\n

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