Big data insight, big data marketing case, what are the characteristics of big data enterprises?

1, Inspur GS helps Guang 'an Group No.1 Pig to strengthen food safety.

Guang 'an Group, as a national agricultural and animal husbandry enterprise group, has been facing the problem that the process of enterprise informatization does not match the development needs of enterprises for many years. In 20 13, Guang 'an Group introduced Inspur GS, and monitored the whole growth cycle of a pig by using an integrated management system, so as to promote the traceability of food safety, realize refined and intensive management of the feeding process, save about 20% of feed every year, and lay the foundation for the cultivation of smart enterprises in Guang 'an.

2. Huawei All-in-One Big Data Machine serves Peking University Key Laboratory.

After a lot of preliminary investigation, comparison and analysis, the key laboratory of Peking University chose Huawei's HANA data processing platform based on the high-performance server RH5885V2. The functions of HANA, such as rapid query analysis and real-time data calculation of a large number of real-time business data, largely benefit from the high reliability, high performance and high availability of Huawei RH5885 V2 server.

3. Digital China helps Zhangjiagang City to be more "smart"

In the case of Zhangjiagang City, citizens can log on to the public information service platform developed by Digital China, and with their ID cards and passwords, they can provide more than 240 online pre-trial services and more than 30 online services/kloc-0, and they can also check their working status in time through their mobile phones. Compared with the past, citizens can save at least half of their working hours.

4. Zhongke Shuguang helps Tongji University to achieve new heights in scientific research.

In order to meet the explosive growth of users and data volume, Tongji University and Zhongke Shuguang, on the basis of fully integrating the cloud computing platform and existing assets, adopted DS800-F20 storage system, Gridview cluster management system and Hadoop distributed computing platform to build an industry-leading big data flexible processing platform, which made Tongji University take a new step in the field of information science and its interdisciplinary research.

5. China Telecom's intelligent bus solution based on the Internet of Things.

China Telecom proposed an overall solution of intelligent bus application based on the Internet of Things. This scheme closely combines the characteristics of public transport industry, including global eye video monitoring system, GPS positioning and dispatching system, wireless data acquisition system and other technologies, and is a comprehensive solution for vehicle monitoring and dispatching management in public transport industry based on Internet of Things technology. China Telecom's Intelligent Transportation System uses the Internet of Things technology to improve the organic connection between people (passengers, drivers, managers) and bus facilities (roads, stations, etc.). ) and public transport vehicles, so as to maximize the use of time and space resources of the transportation system. Through the rational development, utilization and integration of information resources, we can improve the operating efficiency and service quality of public transport industry and provide necessary means to deal with major emergencies.

6. Data is a visual tax-related analysis platform constructed by tax authorities.

For a long time, the data of tax system comes from taxpayer's declaration behavior data and report data, which belong to different business systems of tax personnel, and the information itself is decomposed into fixed logic and processing forms according to business. Luo Ming Data is a visual tax-related analysis platform built by the tax department, and it is positioned as a data service product of the tax department. The products make full use of the relevant technologies of Luo Ming's bottom big data platform, data mining modeling technology and Luo Ming's tax industry research experts' understanding of tax source management specialization, refined risk control and intelligent decision analysis, and build a data application platform with analysis and prediction as the core to help tax authorities carry out tax collection and management more effectively, comprehensively and meticulously.

7. Youyi Interchange's big data experience in the automotive industry helps Audi recommend used cars.

In 20 15, the Audi tasting used car project was promoted for five months through the programmatic buying platform of Youyi Interchange, and the audience was mainly men and existing Audi owners. The launching strategy of Friendship Interchange Planning is as follows: firstly, through crowd tags and keywords, the accurate audience will be bid on the whole network; Secondly, optimize the recall of the above-mentioned winning bidders and analyze them to improve the success rate of the next round of bidding; According to Youyi's big data experience in the automotive industry, the consumer's behavior path is "interest-cognitive consideration-transformation". programmatic buying can lead the lost people to the next link through crowd memory, thus promoting the possibility of transformation. The final launch results show that Youyi Interchange has effectively achieved the customer KPI through the above strategies, with the exposure exceeding the forecast by 65,438+03%, the click volume exceeding the KPI by 26% and the registration volume reaching 65,438+063%.

8. Dongfeng Shen Feng Big Data "moves" to understand the target audience of the whole department and break the traditional promotion method.

Action DMP, the underlying behavioral data management platform of science and technology application, was selected for all marketing promotion activities of Dongfeng Shen Feng. Action DMP realizes real-time lossless analysis of user behavior metadata, application metadata and scene metadata in the whole network, and accurately captures the target audience of each model; Through the analysis of user behavior scenes, we can understand their catalytic habits and develop customized communication between brands and users, including personalized creative carriers and communication channel combinations. The final CPL cost of this project is 40% lower than the target.

9. Zhiziyun big data mining helps Suning.cn tourists "change their minds"

Suning.cn hopes that through the VRM model of Zhiziyun, the lost tourists who arrive at the station/enter the APP can be finely divided, and with the help of the precise orientation ability of DSP, the target crowd can be locked across the screen to find the lost tourists. First, establish a data warehouse; Secondly, Zhiziyun personalized recommendation engine Rec-Engine；; Zhiziyun intelligent dynamic bidding engine Delta-Engine；; Loc-Engine, a multi-screen LBS orientation engine of Zhiziyun, not only supports multi-screen delivery, but also establishes a visitor conversion rate prediction model and a product recommendation model from multiple dimensions such as visitor conversion rate, media, geographical location, time period, equipment type and equipment number. Finally, redirect the delivery, calculate the click-through rate and arrival conversion rate of each visiting visitor, then grade the visitors through automatic clustering algorithm, and make real-time differentiated bidding for people with different scores after integrating factors such as media environment and bidding success rate. In the end, this activity found 9572 163 lost tourists in Suning.cn, which contributed to 36748 direct and effective orders; The final return on investment is > 3.

10, "Uniqlo Lucky Wear Home" Uniqlo 20 16 Spring Festival on-site marketing OxO

On 20 16, Uniqlo China launched the Spring Festival theme activity of "Uniqlo is lucky to wear a home", which incorporated the brand concept of "LifeWear is suitable for life". Combine big data to analyze large-scale consumption, accurately spread appropriate mobile media, and connect to the store experience through self-media communication. Develop a high-quality mobile media strategy, combine self-media, online advertising, social media platforms, retail stores and WeChat payment, accurately cover the audience, and a series of online activities make the Uniqlo brand and winter and spring product images directly reach people's hearts, effectively bring offline users online to participate in interaction and actively share, realize OxO diversion, and obtain ideal brand marketing and sales growth effects.