Big data will trigger another revolution, flooding the world

The world will be "submerged" data, sooner or later big data will trigger a new round of mobile computing revolution. According to the Bank of Canada CIBC forecast, the information generation in the next 10 years will increase by 50 times. Market research firm IDC expects data generation to grow 44-fold between 2009 and 2020. Mobile devices, social media, wearables and the Internet of Things will be the main force driving explosive growth in data volume.

Apple released iPhone 6 years ago subvert the electronics industry. Big data will trigger the next revolution in the mobile computing industry? Many people give a positive answer.

In a recent report, market intelligence firm BI Intelligence analyzed the potential, real world use, and problems of big data, answering frequently asked questions about big data and mobile devices. The following is a summary of the report:

Big Data Definition Big data is defined as a data set that satisfies three attributes, so-called "three-dimensional" - size, diversity, and speed. But there are other big data features, said Kipp Jones, Skyhook vice president of product. "I think there's a fourth dimension of big data - value." To make data meaningful, data needs to be efficiently collected and stored . Users must manage, analyze, and discover the value of these data. If there is no value to the user, the data is not worth any treatment.

Mobile devices are especially suited for big data. Moving big data is not just the result of smartphone adoption and consumer usage patterns; apps and services running in the background also generate data. Technically, the data generated by mobile devices is no different from the data generated by the traditional Internet, the difference between the two is that consumers will generate more data. Users are still generating large amounts of data even when not using the phone.

Big data can be used to optimize and personalize the mobile experience. The uses for moving big data are varied, but are often used to optimize and personalize mobile services. For example, application developers can take advantage of Flurry's analytics services to improve their apps. User retention is a key indicator of application developers, developers can compare their own applications and other users of similar applications retain ability to figure out what needs to be done to retain more users.

· Help to drive the explosive growth of mobile advertising. Location data is a key part of moving big data and probably the major difference between moving big data and big web-based data. Location data will help change the mobile advertising industry. Real-time position-related precision advertising is a significant advancement in the advertising market.