Big Data Era Of Network Marketing Books Problems And Solutions

Book online marketing to traditional book marketing methods have a majorimpact, but with the arrival of the era of big data, user-generated massive data networkmarketing books turn to bring new opportunities and challenges. Currently Big Data haseven risen to the height of the national science and technology strategy, the Obamaadministration announced last March$200million investment in large data fields; inthe country, but also for China, Zhongguancun demonstration of large data industryshowed great support. Also included are some well-known companies want to marketdata from large nuggets, such as IBM, Google and Microsoft, meanwhile, thepublishing industry also started to explore big data, for example: last year, the thirdnational publications supply chain Forum will explore its impact on the industrygenerated. The books must take full advantage of network marketing in the context oflarge data analysis and mining of user data in order to find a new breakthrough, whichwill be a large data network marketing combined with our books explore practicalsignificance.Features, these features Big Data Big Data with massive data, data typediversification, fast data processing speed and low-density data values, but alsobrought many changes in interactive marketing, adhere to the people-centered, focusedon big data data application rather than data storage, and other changes to the marketingcloud. Compared with the current network marketing books bookstore traditionalmarketing entity, has a low cost of sales, breaking the space-time constraints and otheradvantages, and Dangdang, Amazon as an example for analysis. The era of big data,network marketing books I faced massive user data can not be quickly converted into avalue of user data security risks and other difficulties exist. And pointed out threeaspects responses: First, mining user behavior information to achieve precisionmarketing. Second, focus on the implementation of reader service word of mouthmarketing. Such as: Amazon has a good reputation. The third is to build a businessmodel of integrated marketing. The arrival of the era of big data, the increasinglyfierce competition in marketing campaigns to promote the entire book online marketing presents some new trends will move toward interactive marketing.Research methods used are: literature research, mainly related to the largegathering data and network marketing related literature, comparative study of itsconsolidation; comparative research and case analysis will compare the networkmarketing and traditional marketing methods, and Dangdang and Amazon to thenetwork as an example analysis. Finally, induction, deduction, induction clarify theconcept of using big data, defined the characteristics of big data and use deductiveanalysis of the difficulties and countermeasures era of big data network marketing facebook, but also on our books online marketing predict future developments.