Big Data Could Have Predicted The South Asia Earthquake

Big Data Could Have Predicted The South Asia Earthquake

Early this morning South Asia was hit with a massive 7.5 earthquake. The quake centered in Afghanistan and rattled neighboring countries including Pakistan and India. There have been 180 people reported dead and hundreds injured by the earthquake. Included in this death toll are twelve young girls who were trampled when trying to evacuate their school.

Could these deaths have been prevented?

What if the people of Afghanistan knew there would be an earthquake coming their way?

Is it possible to predict the wrath of mother nature? 

With the help of Big Data Analytics- Yes these things are possible. 

Innovative companies such as Terra Seismic are revolutionizing the way we look at earthquake data. We have always relied on gathering data after a quake to try to connect patterns and predict the next big occurrence. Terra Seismic has implemented satellite data to predict large earthquakes before they happen, allowing people to prepare themselves.

Terra Seismic is still relatively new and continues to improve the way we foresee these devastating events, but they have already correctly predicted more than a few quakes including the one that hit the Indonesia Island of Sumatra in March earlier this year. I am not sure if the earthquake that rocked South Asia this morning was predicted, but if it was, how might the repercussions be different?

Besides the massive hit the economy takes when faced with the damages of a natural disaster, many people suffer injuries, lose their homes and often times become homeless. If the people of South Asia had been warned about the earthquake that was coming their way, they could have protected themselves better. People could have avoided being near the less developed areas that are home to very unstable structures. Schools could have practiced evacuation drills to prevent the widespread panic that claimed  the lives of those poor twelve girls. Hospitals could have been stocked, staffed and ready.

It is hard to say if we can truly ever be prepared for a natural disaster, but with the developing technology and Big Data available, we have a much better chance at less devastating effects than we ever have before.

Learn how big data is helping track and predict the patterns of other natural disasters in this informative article.  

Big Data In The Hotel Industry

Big Data In The Hotel Industry

Big Data is making its way through every industry possible, including the hotel industry. This industry is another perfect example of how effective use of analytics can dramatically change how a business is run. There are many types of data being collected including video, audio, and web data, and there are huge volumes of each. However, many hotels are carrying all of this data with them, but not acting upon a majority, if any of it.

Many hotels gather loyalty information about their guests, but fail to take it a step forward. This, to me, is the perfect opportunity for any and all forms of predictive analytics.

Hoteliers could exploit their data and deepen their knowledge of guests in order to develop a more granular understanding of segment behavior, needs, and expectations; identify profitable customer segments and their buying preferences; and identify opportunities to attract new guests.

In this industry, understanding guest preferences, purchase behavior, and profit potential can dramatically increase brand loyalty and wallet share of their most valuable guests.

One key factor that hotels must be aware of throughout this process is what guests they are targeting. Targeting the frequent guests who are likely to take advantage of other hotel amenities would generate much more overall profit than targeting the guests that are just stopping by. By marketing to their most loyal guests preferences, hotels will find themselves staying ahead of trends, setting strategies, and achieving their goals. This will then lead to happier guests, and more money in the bank.

And look at that…all of that can be done with the right analysis of data!

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