Monitoring data analytics for reference Big Data pushes business models_Data Analyst Exam

One of the biggest uses of Big Data is prediction. Everyone suffers from late flights, how can I know in advance if the flight I booked will be late?The website flightcaster lets you know in advance the probability of a flight being late. The U.S. company's forecasts are based on data from the Bureau of Transportation Statistics, FAA Traffic Control Center alerts, the U.S. Weather Bureau, and flightstats (a website that provides information on flight status). flightcaster can tell you six hours before an airline formally releases information about a late flight, and the probability of your flight being on time is only 3 percent, with a slight chance of being late. The probability of your flight being "on time is only 3%, slightly late is 14%, and more than an hour late is 83%".

The site uses a huge amount of statistical data kept by the unit over the past decade, which is analyzed by artificial intelligence to produce predictions that are 90 percent accurate. What causal relationship there is between the past decade's data and whether or not a flight will be late in the future is not clear -- another hallmark of big data: replacing causation with correlation.

For individual users, big data can also predict airfare trends to save money for self-paid travelers; predict traffic congestion to help people choose better times and routes to save time; and provide more accurate book lists to help you discover more great books, just like Amazon does. Google also predicted the severity of bird flu on U.S. soil in 2009 and future epidemics by analyzing users' search terms, successfully helping health authorities contain a massive outbreak of the disease.

The modern business environment is changing very drastically, and for companies, it is especially important to be prepared and utilize big data well in the era of big data. For example, Montblanc, a famous stationery maker, has increased sales by 20 percent by analyzing data from surveillance cameras and placing the items it most wants to sell in locations that are most likely to catch customers' eyes.

Generating new services by using data that was previously inaccessible is what people expect most from the future of the big data era.

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