As big data takes root in various enterprises, corresponding business models are slowly surfacing.
In the era of big data, marketing will rely more on massive amounts of data to find users more accurately. Based on the data from different platforms, the data will be further mined and analyzed to find the corresponding groups of people, and then these groups will be analyzed individually and personalized marketing services will be developed.
Big data extends to traditional industries
The development of big data has spread from the Internet companies represented by Google, Amazon, and Yahoo! to more and more startups and traditional industries such as finance, electricity, and telecommunications, which have been mining and analyzing data in different dimensions to create more business models and economic growth points. growth points. At the same time, many countries, including the United States, have elevated big data management to the level of national strategy, and considered their development strategy in a holistic manner from the national level. From the current history and trend of big data development at home and abroad, companies and enterprises that have mastered huge amounts of effective data and have strong data processing and analyzing capabilities will be at the forefront of big data development. In order to grasp more data, major companies are seizing the Internet entrance, including mobile browsers, search engines, operating systems, application stores and so on.
Currently, companies such as IBM [microblogging] and Oracle, which focus on enterprise-level big data solutions, have already provided commercialized products; companies such as Google, Baidu, Tencent, and Alibaba [microblogging], which are based on their own business and Internet characteristics, are building their own big data systems; and, at the same time, a number of research institutes or academic institutions have begun to invest in more experiences to engage in Related theoretical and practical research. The data in "big data" mainly includes "online" big data and "offline" big data, although companies and research units engaged in big data research and development have different business logics for these data. Although companies and research units engaged in big data research and development have different business logics for these data, the big processing techniques are basically similar, including data acquisition, import and pre-processing, statistics and analysis, and mining.
Preliminary formation of big data business model
Big data has been maturely and widely used in major enterprises at home and abroad. As China's largest e-commerce platform, Taobao has a huge amount of commercial data, and now Taobao is facing the problems of large volume of data, diverse content, rich dimensions (covering nearly one hundred commodity dimensions in different industries, a five-level commodity category system, and nearly one hundred thousand brands), and poor quality of the source data (illegal transactions, malicious evaluations, and use for custom attributes). For the challenges facing Taobao, distributed storage computing, real-time computing, real-time stream processing, cloud-based data mining, data visualization and data product practices are key technologies to cope with the wave of big data.
For Baidu, China's largest search company, with its entrance advantage, it has the largest database of consumer behavior in China, covering 95% of Chinese Internet users, responding to 5 billion search requests per day, with a 67% share of the search market. Baidu's vice president Wang Zhan introduced that Baidu has built five major data system platforms including Baidu Index, Sinan, Feng Yun List, Data Research Center and Baidu Statistics, which help enterprises understand consumer behavior and interest changes in real time, as well as information on industry development, market dynamics and trends, and competitors' movements, in order to make timely adjustments to their marketing strategies.
Tencent is one of the most anticipated and imaginative Internet companies in the era of big data. Tencent has a more complete record of people's behavioral trajectories and social attributes on the Internet. According to the information disclosed by Tencent, up to now, Tencent has more than 825.4 million active QQIM accounts, 600 million space users, 540 million registered microblog users and 500 million WeChat users. When these massive amounts of information are aggregated together, it is possible to obtain a series of valuable information such as users' interests, places of belonging, social relationship chains, and so on. Then, using big data and relationship chains, Tencent will be able to screen and recommend the most suitable content for the user.
Yahoo, as an old Internet company, has deep technical accumulation and influence in the field of big data. Yahoo has the world's largest Hadoop cluster, about 25,000 nodes, mainly used to support advertising systems and personalized news systems. And Yahoo is also the most important contributor to the Hadoop open source community, with a contribution rate of more than 70%. In addition, Yahoo is also very focused on investing in other areas of big data, and it has just acquired big data analytics company Zhituo Tongda in China, completing the first real overseas acquisition since new CEO Mayer took office.
With massive amounts of data, it is also possible to provide better, more personalized services to users. Sina, the largest portal in China, recently launched a new version of its home page, and the most significant change is the addition of a "Guess Your Favorite" section. Sina collects and mines massive amounts of data from microblogs and then recommends personalized news for each user.
Text, sound, images, and user behavior and relationship networks constitute a huge data resource on the Internet. With the explosion of the Internet and mobile Internet at home and abroad, the amount of data is also increasing dramatically, and the more mature cloud computing has brought about a revolution in computing power, which makes it possible to tap into the processing of these big data resources as well as the commercial realization of these resources. The era of big data is coming.