Big data cases 31-34: Climate Agricultural Insurance, Hiptype record reading

31 Delay Forecast for FlightCaster and Passur

The aviation industry is counting every second, especially when the flight arrives at the exact time. If a plane arrives ahead of time and the ground crew is not ready, the passengers and flight attendants will be trapped on the plane in vain time; if a plane is delayed, the ground crew can only sit and wait, in vain. A major US airline found in its internal report that about 10% of the flights actually differed from the estimated arrival time by more than 10 minutes, and 30% of the flights differed by more than 5 minutes. FlightCaster is a company that provides flight delay information forecasts based on airline flight operations. Like the airline's proprietary information on similar flight operations, the company has historical data on a large number of domestic flight flights and real-time flight operations. The secret of Flightcaster is its efficient use of big data analytics and the real-time management of output data using appropriate software tools.

Passur Aerospace is a technology company that provides decision support for the aviation industry. By collecting public data such as weather and flight schedules, combined with other non-public data collected by other independent factors that affect the flight factors, the flight arrival time is predicted comprehensively. By 2012, Passur had more than 155 radar receiving stations, collecting a series of information for each aircraft on the radar every 4.6 seconds, which will continue to bring massive amounts of data. Not only that, after long-term data collection, Passur has a huge multi-dimensional information carrier for more than ten years, providing a thorough analysis and appropriate data model. Passur believes that airlines plan for the arrival time of their flights and can save millions of dollars per year per airport.

32 Climate Agricultural Insurance

A startup called Climate Company conducts more than 10,000 simulations of more than 1 million locations in the United States and weather conditions in the next two years. The amount of data is huge, dynamic, and real-time. Subsequently, the company combined data on root structure and soil porosity with simulation results to provide crop insurance for thousands of farmers. The acquisition of soil data by remote sensing is not the same as the familiar data acquisition of user network behavior through web services, and the concept of data has been greatly expanded. In order to provide accurate insurance services for each field, it is certain that agricultural products futures, climate predictions, international trade, international political and military security, national economy, industrial competition, etc., which are compatible with land data, are also needed. The business model launched on the basis of such a large amount of big data is innovative, highly competitive with existing crop insurance methods, and sustainable and scalable. Even better, the company is based on big data operations, without a high investment in network infrastructure, just renting Amazon's public cloud service, tens of thousands of dollars a month.

33 Hiptype record reading

Almost all of the paid e-books will provide some chapters for readers to try. In fact, publishers need to figure out where people have read, whether they have purchased after reading, and other experiences to sell more e-books. American startup Hiptype has developed an e-book reading analysis tool, and its business model is trying to solve this problem. Hiptype calls itself "Google Analytics for eBooks" and provides rich data about eBooks. It not only counts the number of trials and purchases of e-books, but also maps the "reader's map", including the user's age, income, and geographic location. In addition, it can tell publishers whether they have made a purchase after reading the free chapter, how many readers have read the entire book, and how many pages the reader has read on average, which chapter the reader likes to start with and which chapter Halfway, and so on. Hiptype can be integrated with e-books, and publishers always get user data no matter which channel they choose. All data collected by Hiptype is anonymous. When the user downloads the e-book with the built-in Hiptype service, he will get a prompt and can choose to block it.

34 Ankecheng's "One Person in One"

There is a huge problem with online marketing. How do you know if people using several different names on the Internet are the same person? An Chengke has launched a technical solution called “Audience Operating System” to solve this problem. It allows marketers to bind to your "digital characters", even if you change your name because of a marriage, or use a nickname, or occasionally use a middle name, it can still answer whether the person who has changed the address or phone number is The same person's problem.

AOS can aggregate information from different databases, either offline or online, that companies may collect for individuals on different occasions. By using AbiliTec, a digital "identification" technology that Acxiom also has, AOS removes customer information and makes it simple and simple. AOS helps Ancheng's advertisers use their data to find ads on Facebook to target users.