Shulou(Shulou.com)06/03 Report--

Big data has become more and more popular in recent years. As a programmer, he has always wanted to learn big data systematically and learned some courses about big data online. But these courses are not systematic, feel very piecemeal, and the benefits are not very great. I am still at a loss about big data.

Recently, I saw in 51CTO that the actual combat big data course of teacher Xu Peicheng in charge of IT18 has gained a lot. Now I would like to share my experience with big data's declassification: big data's technology was applied to retail by Wal-Mart as early as 1998; and in 2009, an article in Nature magazine reported that Google analyzed the pathological features of previous epidemics, the results and the data from the National Centers for Disease Control and Prevention were very mild, and effectively predicted the outbreak of the epidemic virus. In a word, big data's application field and function are powerful.

Big data from a variety of angles: the public point of view is mainly a large amount of data; technicians are mainly concerned about data storage and calculation; enterprises are mainly concerned about what kind of data they need and how to get data analysis results in the shortest possible time. With the 50% annual growth of Internet data, the explosive growth of data doubling every two years reflects big data's characteristics of volume, variety, velocity and low value density. Big data mainly comes from physical equipment (cameras, computers, mobile phones and other devices) and human factors (news of various events, life sharing information, etc.). Big data's hot industries include medical government utilities, telecommunications, manufacturing, Internet, transportation, finance, circulation, energy, education and retail.

Big data Application Direction-Precision Marketing:

1. Locate the customer's basic attributes (gender, age, purchasing power).

two。 Mining customer behavior and preferences, customizing products and services.

3. Establish data system, market test, adjustment and optimization.

4.j establish a data warehouse, expand and update at any time, and lock in the crowd.

5. Database is the treasure of enterprise price and the source of wealth.

Big data's application direction-know yourself and know the enemy:

1. Collect competitor data.

two。 Find out the weakness, attack its weakness, and win by surprise.

3. Find out your weakness, adjust your strategy, attack and defend youdao.

4. Differentiation competition highlights self-enterprise value.

Big data Application Direction-Internal data Mining Innovation:

1. Collect, sort, mine and analyze the internal data of the enterprise, provide data support for the personnel of various departments, speed up the speed of decision-making, ensure the accuracy, and realize the efficient management of the enterprise.

two。 Provide effective data support for enterprise quality control, share sales, inventory and other business data, jointly carry out category analysis and management, and improve product quality.

3. Data fusion is carried out by using the information of multiple data sources to promote the accurate understanding of the dynamic characteristics of the enterprise so as to improve the decision-making ability of the enterprise. It provides information for all kinds of personnel of the enterprise organization through data acquisition, management and analysis, so as to improve the strategic and tactical decision-making ability of the enterprise.

Big data application direction-looking for new added points:

1. With the growth of more trading data, combined with the current market search buzzwords and consumer consumption trends, timely launch of similar product derivatives and related services.

two。 Online retailers, for example, decide how to adjust prices and promotional offers through a comparative analysis of traffic and sales.

Recently, I saw 51CTO open a free big data course + 18 hands of IT to support activities. Are there any friends together?

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