Data Analytics: Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life

Weather Prediction: Weather-related disasters can cripple environments
and economies. The ability to better predict weather can allow people and
governments to position themselves to sustain less damage –
environmentally and economically – in the event of a natural disaster. In
this case, a natural disaster refers to wildfires, droughts, flooding, damaging
storms, and other instances of Mother Nature’s wrath that are out of our
control. However, data technology will soon be able to help predict certain
events. For example, set to launch in 2018 the JPSS (Joint Polar Satellite
System) will use sensor technology and data to predict the path of a

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hurricane or a storm front long before it occurs. This gives the population
that lies in the path of the storm an early warning system, and they’ll be
able to protect their property and evacuate the area in a timely manner. The
future of predictive science has already been mentioned by major news
outlets that recognize the guesswork of meteorology may soon be a thing of
the past.