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

The fundamental reason is that the Internet has made our lives, from online to offline, people and vehicles have been digitized, which makes it possible for large-scale commercial use of data, and then package the name big data.

At the technical level, it is nothing more than assigning to many machines what one machine cannot do, not a major progress. The main driving force is smartphones, and every time we chat, every order betrays us. Another driving force is the computerization of offline business. All kinds of bookkeeping that used to be done manually are now completed by computers, all kinds of household appliances can also be connected to the Internet, and the large-scale popularization of digital monitoring. If you take the modern big data analysis system and go back 20 years, or even ten years ago, there is not so much data for you to use.

Here I still want to recommend the big data Learning Exchange Group I built myself: 529867072, all of them are developed by big data. If you are studying big data, the editor welcomes you to join us. Everyone is a software development party. Irregularly share practical information (only related to big data software development), including the latest big data advanced materials and advanced development tutorials sorted out by myself. Welcome to join us if you want to go deep into big data.

Another driving force is the emergence of deep learning. Deep learning especially consumes data, and its own excellent performance further enhances the commercial value of big data and so on.

Now this reply is typed by voice on my mobile phone as I walk. I knew full well that this would expose some of my whereabouts, preferences, and so on, so I coveted its convenience and continued to provide data materials to iFLYTEK.

Big data is fundamentally inseparable from the basic theoretical knowledge of mathematics, statistics, computer science and data science, and the rapid development of technology has brought the most direct leap forward to the digital field.

The value of promoting the technological progress of human society, such as App R & D and application, database compilation and application, all comes from the invention and operation of big data.

Big data not only created new computing methods and technical processing methods, but also provided the basis for the research and development, application and landing of other technologies, such as artificial intelligence.

The "trading gate" in big data's "triple door" theory is the core reflection of big data's technological value.

The "transaction gate" refers to the data of the transaction between the customer and the enterprise, and the transaction behavior of the customer is retained through the internal system of the enterprise, which is basically based on "ex post" data.

"Trading door" is the primary threshold to promote enterprise data-driven business, communicate with customers, obtain effective and analytical data, no matter how big data's acquisition ability develops, direct trading information is always the first effective and worthy of attention.

According to Taobao's transaction analysis report, the proportion of repurchase orders and same-store repurchase orders after large purchases is 25.0% and 16.8% respectively, which is significantly higher than 18.8% and 10.7% of ordinary orders, indicating that after the first order has gained trust in the seller's service and product quality, the second order is entirely possible to enlarge the amount, and is much higher than the ordinary order.

As a result, sellers are guided to improve service, adhere to quality, and timely launch bundled recommendations, so as to achieve the chance of placing large orders for similar goods.

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