Pharaoh Next Door in "Big Data Application Scenario" (serialization 1)

The editor tells everyone: In order to let everyone have an interesting understanding of the application scenarios of big data, the front sniff is going to come out with a moth! ! ! ——Welcome to "The King Next Door of "Big Data Application Scenarios".

For a long time to come, the old king next door will bravely stand up and demonstrate various big data application scenarios with his own personal experience.

With the development of the era of big data, various new data application scenarios emerge one after another. More and more fields such as medical care, e-commerce, finance, and government affairs are hiding big data. In order to let everyone have a deeper understanding of the application of big data In the scene, the editor moved out a real (nie) real (zao) case.

Lao Wang is the owner of the spicy strip processing company next to Xiaobian. He is planning to cooperate with a snack raw material supplier recently. In order to understand the actual situation of the company, Lao Wang specially bought fruit snacks to bribe Xiaobian and let Xiaobian help him with the supply. businessmen to investigate.

This is where the editor began to use big data to help Lao Wang reach the pinnacle of his life.

The editor first searched the company name on major search engines such as Baidu and Google through the ForeSpider crawler software to crawl all relevant information about the company. After that, the company's information was collected on major forums, social networking sites, and news sites.
Next, after collecting all the data, I found that due to the fuzzy search of the search engine, some of the data was not related to the company, but it could not be manually distinguished among the hundreds of thousands of data, so the editor used the data again. Mining technology successfully filtered out irrelevant data, leaving data effective for Lao Wang to analyze the supplier company.

After solving these problems, we found that the company has more than hundreds of thousands of valid data. Therefore, in order to help Lao Wang to solve the problem perfectly, the editor used our ForeAna analysis system to automatically analyze the semantics of each data from various dimensions. The analysis results show that more than 90% of the data are positive comments on the company. At the same time, the analysis of the release time of the data shows that the company's popularity has been greatly improved in the recent period of time.

After this analysis, Lao Wang has a certain degree of trust in this supplier, but he still wants to look at other suppliers of the same type and compare them, so at his strong request, the editor helped him collect several similar industries. After comparing the data of other companies, Lao Wang found that the company he was about to cooperate with had good reviews and reputation in the same industry. Lao Wang returned to his company with satisfaction and signed a supplier agreement with the other company.

The small matter of Lao Wang looking for suppliers shows the changes brought about by the emerging technology of big data. By monitoring the information on the Internet, collecting the data you need, and conducting intelligent data mining and analysis, you can obtain scientific analysis results, and adjust your own development strategies accordingly. For example, an investment-oriented enterprise can analyze the big data of the enterprise in a targeted manner, evaluate the development potential of the enterprise, and formulate an investment plan. Production-oriented enterprises can understand the shortcomings of their own products and the advantages of competing products through big data analysis, and make strategic adjustments. Government agencies can also use big data to understand people's livelihood and conditions, adjust policies in a timely manner, and so on.

When we talk about big data, I believe most people think of user behavior analysis, that is, big data can penetrate "privacy", through user browsing records, consumption records, friends, movement trajectories, etc., various behaviors of users Analysis to obtain accurate information about users.

With the promulgation of the National Cybersecurity Law, many users' privacy data transactions that are borderline balls are forced to be suspended. People should focus on how to mine valuable information from massive public data, rather than staring at user private data from illegal channels.

Since the data itself has the characteristics of massive and multi-dimensional, we can disclose the data and results through the Internet, look for some of their characteristics and correlations, and make scientific predictions on the user's behavior, so that we can make targeted adjustments to our follow-up various development strategies. [/size][/size]