First, the shortcomings of Internet big data companies
1. data information LAN: the data information of internet companies is still fragmentary. For example, JD.COM Mall only has online sales data information, and there is no data information for web search. The lack of data information of Internet companies also indicates the overall development strategy of Internet companies. I naturally understand this, and there is a lot of data and information recovered at this stage.
2. Cutability of data information: It is difficult to integrate data information on the data network, such as searching for suits and trousers on the Internet and buying suits and trousers on Taobao. Your posture data information is stored in two different ways, but everyone knows that it is also the same person, and new technologies such as COOKIE for advertising promotion are also stored in QQ account in a short time, which is very convenient, and in fact, it is very convenient to combine ID with QQ account. The unification of data information signs is one of the core contents of big data mining in Internet companies.
3. Closed data information: Few Internet companies are willing to open their own data information. After all, this is also their property and competitive advantage. So the openness is a series of operation modes and application levels, not data information.
Your collaboration and data information are still very important to me at this stage. Even if some data and information are open to the outside world, there are naturally some internet companies cooperating with each other to exchange data and information, but this is not open. Under the current conditions, how to make Internet companies open to the outside world, enjoy resource data and information, and promote social progress is very worthy of scientific research.
4. Inclusion of data information: Internet companies' data information is restricted by their related services in terms of consumers, related business processes, time, indoor space, etc., and their data information standards and depth are relatively limited, but they don't know much about Internet data information in the retrieval industry and social media industry.
But we don't know much about the Internet in the retrieval industry and social media industry, and we don't know much about the Internet in the retrieval industry and social media industry. Therefore, we can infer the specific reasons, formulate better marketing strategies, and grasp who is the seller or the intermediary.
Second, the advantages of accurate expansion of mobile big data
Due to the precise expansion of mobile big data, all personal and corporate networks and personal communication behaviors flow into the pipeline of communication operators in the form of information, and communication base stations that report Internet big data to operators anytime and anywhere can also communicate with each other anytime and anywhere. With the development of Internet industry, the data information operation scale of communication operators is very competitive in the market.
Communication operators regard data as a unique ID, and integrate all kinds of data information. It is impossible for ordinary companies to describe the consistency of customers, because data is related to the business process itself and has the original characteristics of mobile communication.
In fact, it is very comprehensive for mobile big data and operator big data to accurately expand customers' natural resources. From these data information, we can describe customers more stereoscopically and help enterprises expand customers more accurately and quickly with the least cost.
Mobile big data, the operator's big data acquisition can not only give accurate and all-round accurate users the ability to explore, but also include a detailed risk control management system, which can greatly reduce the risk of domain expansion or even zero risk; It can also help fields, companies and enterprises to accurately target customer groups in real time, capture and push in real time through various channels and multi-service platforms, and strive for a large number of transaction volume conversion and business cooperation opportunities for corresponding fields, companies and enterprises.