Big data will drive mobile computing innovation into a new phase

According to foreign http://www.aliyun.com/zixun/aggregation/31646.html "> Media reports, the world is fast drowning in data."

Imperial Commercial Bank of Canada predicts that information production will increase by 50 times times in the next 10 years. IDC, a market-research firm, has also made a similar prediction: The amount of data will increase 44 times-fold in 2009-2020 years. Mobile technology, social networking, wearable devices and internet of things all play an important role in the Big Bang.

Apple's release of the iphone 6 years ago has revolutionized electronic commerce. The iphone leads the market into a technology world where software and hardware design are the main ideas.

Can data be the turning point of the next innovation? Many people think the answer is yes.

The relationship between big data and the mobile industry is this:

First, large data requires a definition: Large data is usually defined as a dataset with three attributes, namely 3v: Sound (volume), mutation (produced), and rate (velocity). But that's not all. Kipp Jones, vice president of Skyhook's products, said: "I think Big Data has a 4th V: value." "To make the big data meaningful, it needs to be effectively captured and stored." Then you need someone to manage, analyze, and extract value from it. Data, large or small, is not worth dealing with if it is worthless to someone.

The mobile industry is particularly well suited to the development of big data: Moving large numbers is not just a feature of smartphones and consumers using patents. Large data can also be created by apps or other background-running services. Technically, it is no different from the data created using traditional networks. The real difference is that consumers are turning to digital channels and leaving behind traces of data that record behavioral activity, generating much more data. Even when consumers are not using their phones on the surface, they are creating data.

This data can be used to optimize and personalize the mobile experience: moving large data has a variety of uses, but it is often used to optimize and personalize mobile services. For example, application developers may use flurry analysis to improve their apps. Retention is a key criterion for developers. Developers can compare their users ' numbers to other apps to learn how they accumulate users and how they can improve to increase the number of users.

Data can also drive the development of mobile advertising: location data is a key component of moving large data, and it may be the original data type that distinguishes between mobile and network large data. Location data can help change the mobile advertising industry. Large data has the ability to transmit real-time hyper-localization and directional advertising, which represents a potentially significant change in the advertising marketplace.