E-commerce Development Prospects in Big Data
Abstract: Cloud computing, networking, social networking and other new services to promote data types and scale of human society is growing at an unprecedented rate, the official arrival of the era of big data. By the status quo for the next big data era of e-commerce, a detailed analysis of the challenges and opportunities presented to build e-commerce services in an era of large data models, while building e-commerce service platform era of big data. The establishment of the e-commerce platform to help companies overcome the overall management of weak fundamental issues, while enterprises to expand business volume, expand market share, enhance overall competitiveness, also has a very important role, it will be the future of e-commerce development the inevitable trend.
Key words: Big data; E-commerce; Cloud computing
1 Introduction 1
2 Opportunities on Big Data 2
2.1 Good for Marketing Management 3
2.2 Beneficial to Personalized and Accurate Commodity Recommendation 5
3 Challenges on Big Data 6
3.1 Challenges in Dealing with Big Data 6
3.2 Challenges in Protecting Secrets 8
4 Big Data’Influence on Worldwide Economy 10
5 Conclusion 12
With the rapid development and changes of the Internet, e-commerce has carried a lot of personal and business information, e-commerce contains a large quantity of data, and complex structure, the business data types, which means that the electricity supplier data must be on the basis of data analysis and data mining, in order to get the real value. So the big data applications in electronic commerce is becoming more and more important. At the same time, the electronic commerce enterprises in China already know that big data contains a huge commercial value, but the domestic Internet giant only open source software developed applications based on large data, not the formation of personalized enterprise applications.
This paper first analyzes the discovery, challenges and opportunities of e-commerce in the era of big data. Secondly, it puts forward the construction of e-commerce service mode in the era of big data, and constructs e-commerce platform in the era of big data. The construction of e-commerce service model in the era of big data can not only promote the development of enterprise's economy, but also accelerate the construction of informatization of e-commerce enterprises. It is an urgent need to promote the economic development of e-commerce enterprises, an effective way to transform traditional enterprise economy into information economy, and an effective way for enterprises to achieve economic globalization and informatization.
Big data has become a global language. But the definition of large data is also different, there is no unified standard definition. The word 'big' of big data means not only the huge number, but also the variety of data, complex structure and fast speed of change. These characteristics are closely related to the development of Internet. It is following the cloud computing and networking IT industry is a disruptive technology innovation, will have a huge impact on the business. Nowadays, large data analysis has become a hot spot in industry research, and big data is creating great value in many ways. In the big data age, the volume of data will explode in the next few years.
Overall, the future development trend of big data mainly showed the following characteristics: big data will become more and more into the vertical field; more and more real-time; the big data industry will develop into the ecological chain; openness is more and more strong.
2 Opportunities on Big Data
The data has been injected into the world economy as a 'flood', and has become an important part of the global economic fields. Enterprises can analyze and use data in explosive growth. By collecting, integrating and analyzing big data, enterprises can find new business opportunities, create new value, bring big market, big profits and great development. Therefore, for the electronic business enterprises, the big data age has a huge business opportunity.
2.1 Good for Marketing Management
According to statistics, the average time spent by a salesperson in searching for relevant information for preparing transactions is 24% of the working time, and these time and effort can be converted to 2 billion 600 million .To achieve 'low cost and high efficiency' marketing, enterprises must rely on the analysis and optimization of big data to squeeze out every potential value in the marketing process, so as to save costs, win opponents and occupy the market. Big data technology can help them get more business, and sales staff anticipate that the big data strategy will have a significant impact on sales. The era of big data, leader of the network media is from the content provider to evolve into open ecological, social marketing focus on big data era of massive amounts of data behind the understanding of consumer, mining user needs, and ultimately provide personalized cross platform marketing solutions. If the electricity supplier owns the technology based on big data, it will significantly improve the probability of finding potential customers, selling time and predicting the success of the transaction.
The arrival of the era of big data has greatly changed consumer behavior. Consumers can get the latest market information more easily, understand the market more, and buy idealized goods through multiple comparisons, so active and rational consumption behavior becomes the mainstream trend. In addition, because of the extensive and rapid data dissemination, the smooth communication and rapid communication, consumers tend to be more imaginative, like innovation, and put forward higher requirements for personalized consumption. Consumer choice of goods has not only taken into account the value of the use of goods, but more consideration of its individualized characteristics, which has become the primary standard for many consumers to buy goods in the big data age.
In the era of big data, enterprises can collect and record the data of consumer web browsing, commodity information inquiry, and enough to buy frequency and other consumption behavior through the Internet, analyze consumer's consumption habits, judge their type and consumption preference, make a precise positioning to consumers, and formulate a targeted product portfolio, marketing plan and business decision. And in the data analysis, business opportunities and market gaps are constantly discovered. For consumers with personalized needs, personalized customized services are pushed, customer satisfaction is improved and marketing results are achieved. For example, some foreign companies, by grabbing the records of the traces of consumer online shopping, accurately predict that consumers will buy a product in a certain period of time in the future, prepare for the source of goods early, and push the product information with the consumer's customary sales promotion, and the consumer is easy to accept the goods. Consumers achieve personalized demand on the basis of reducing search cost, help enterprises establish good customer relationship and truly achieve personalized service marketing.
In the era of big data, the efficiency of the promotion mode with the mass media as the main carrier is decreasing. Because of the wide and fast spread of information, the most important mass media, such as TV and newspaper, will be significantly reduced in the future, and network marketing based on the database will become a more important promotion. Big data network marketing breaks the limitations of traditional marketing by geographical location and region. It can be carried out at any time and anywhere, making the whole world gradually become one. The change of space and time requires the enterprise to adjust its promotion strategy at any time. In addition, under the background of big data, big data can help enterprises to effectively collect and filter information, and make it specific for making promotion decisions. Through the analysis of large data, enterprises understand the use of consumer media habits, consumer information inquiries, consumers' personality preferences and other information, make use of appropriate media channels to formulate promotion strategies, transform the process of making the promotion decision from experience to science, and finally achieve the maximization of the effect of marketing promotion.
The big data age is a new development model on the premise of the rapid development of the application level of modern scientific information technology. Taking the background of the development of the big data age as the breakthrough point of the discussion, this paper makes a brief introduction to the current situation of the development of electronic commerce in the era of big data.
The thesis concentrates on the risks and opportunities of e-commerce in the era of big data. And it discusses the development background of big data, the development of e-commerce in the era of big data and transformation of e-commerce services under large data background.
Therefore, the thesis is to explore how e-commerce works in the era of big data ,risks and opportunities during the operation and the influence on the economy all over the world.
1. Choose an appropriate topic.
2. Collect relative data on the Internet, in the library and from the books I have studied..
3. Keep in touch with the instructor during the writing process and polish the drafts.
1. Thesis report Deadline: 11th, Mar.
2. Data collection and the first draft Deadline: 31st, Mar.
3. First draft modification Deadline: 12th, Apr.
4. Second draft modification and the final version Deadline: 20th, Apr.