1 shop chairman Yu Gang e commerce era of big data


big data application value and potential is no longer underestimated

Intel co-founder Gordon More found a surprising trend in 1965, which is the integrated circuit integrated circuit chip on the number of every 18 months have doubled, the discovery was hailed as the industry of Moore’s law. It was also described as the performance of the microprocessor doubled every 18 months, or half of the price decline; or the same price can buy computer performance (speed and storage) doubling every 18 months, and so on.

40 years in the history of the human is only a moment, Moore has witnessed a computer data processing and storage capabilities from K (Kilobyte) to M (Megabyte) to G (Gigabyte) to T (Terabyte) changes. In particular, the emergence of the Internet, let us quickly entered the era of big data (Big Data). The main driving forces are the following:

1, with the development of social economy and the increase of personal income, people’s individual needs are becoming more and more important. The enterprise to effectively meet the needs of these personalized needs a lot of data support.

2, the emergence of the Internet and the development of related technologies to make massive data collection and analysis possible. The characteristics of the Internet has led to the spread of these data can be high speed and large capacity.

3, the Internet has introduced a model of data generated by the user. This model is characterized by multiple sources, low cost, and more timely. Of course, the authenticity and reliability of these data need to be certified.

One of the advantages of

4, which is built on the basis of the Internet, is the availability of data. E-commerce can get the source of the customer’s visit in real time, the search, collection, purchase behavior in the website, and the relevance of the goods purchased. These data can help companies more accurate customer service.

The development of

5, artificial intelligence, information systems and Decision Sciences has promoted the development of a variety of analytical methods and tools, including data mining, customer behavior modeling, decision support, etc..

data (Data) is the original and fragmented, after filtering and organizing information (Information), related information integration and effective rendering of knowledge (Knowledge), deep understanding of knowledge and sublimation to understanding the nature of things and can give a counter three for wisdom (Wisdom). So the data is the source, is the cornerstone of decision-making and value creation.

The application of

data is broadly divided into the following steps: A. data collection, verification and filtering; B. classification and stored in the data warehouse; C. data mining is to find association rules and data of the data between the D. data model and parameter establishment; adjustment; Data > based on E.

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