Large data will drive a new wave of mobile computing revolution

December 4 News, the world will be the data "submerged", big data will trigger a new round of mobile computing revolution. Bank of Canada CIBC predicts that information generation will grow 50 times times in the next 10 years. IDC, a market-research firm, expects data generation to grow 44 times times during 2009-2020. Mobile devices, social media, wearable devices and the internet of things will be the main force driving the explosive growth of data volumes.

Apple's iphone, released 6 years ago, overturns the electronics industry. Will big data trigger the next revolution in the mobile computing industry? Many people gave a positive answer.

Market research firm BI FDI recently published a report that analyzed the potential, practical applications and problems of large data, and answered common questions related to large data and mobile devices. The following is a summary of the report:

• Large data definition: Large data is defined as a dataset that satisfies 3 attributes, also known as "three dimensions"-scale, diversity, and speed. But big data has other attributes, says Kipp Jones, vice president of Skyhook products. "I think the big data has a fourth dimension-value," said Kepp Jones. "To make the data meaningful, data needs to be efficiently collected and stored." Users must manage, analyze, and explore the value of these data. If there is no value to the user, the data is not worth any processing.

• Mobile devices are especially suitable for large data. Moving large data is not just the result of smartphone popularity and consumer usage patterns, but applications and services running in the background generate data. Technically, the data generated by mobile devices is no different from the data generated by traditional Internet, and the difference is that consumers generate more data. Even when the phone is not used, the user is still generating a lot of data.

• Large data can be used to optimize and personalize the mobile experience. The use of moving large data is varied, but it is often used to optimize and personalize mobile services. For example, application developers can use Flurry analytics services to improve applications. User retention capability is a key indicator of application developers who can compare their applications with those of other similar applications and figure out what needs to be done to retain more users.

• Contribute to the explosive growth of mobile advertising. Location data is a key component of moving large data, possibly the main difference between moving large data and large data based on the web. Location data will help to change the mobile advertising industry. Real-time release of accurate location-related advertising is a major development in the advertising market.