Create 10 times times the customer's super weapon ─big data digital Gold rush

Diapers, beer, Friday, what is the relationship between these three nouns? More than 10 years ago, no one would have felt any connection to these three things, including Walmart, the largest retail retailer in the United States. One day in the 90 's, a prestige department employee stumbled upon an analysis of business data and found that diapers and beer were often placed in the same shopping basket, mostly in Friday. What is this all about?

After further analysis, Prestige department found that the original American women in Friday will usually ask the husband after work for the child to buy a diaper and then go home, while the gentleman in the purchase of diapers also want to buy their own evening beer, such consumption habits have become the norm. After discovering this, the Prestige department changed the placement of the shelves, put beer and diapers together, and even placed the more expensive diapers next to the beer (many men do not look at the diaper price), and successfully increased the sales amount of both items.

The "Diaper and beer" of the Prestige department store is a classic case of finding business opportunities from the data. But the smartphone is not popular, the broadband network is not developed, and there is no Facebook social network to convey all kinds of messages?, now the change in the technology environment has increased the global data volume by more than 60 times times in 10 years. In addition, "Every passing will leave traces," through the digital tools, the past can not be described in all kinds of behavior, all find records, behind this is difficult to estimate, has not been explored opportunities.

Initiating innovation: Finding clues from records

How amazing is the explosive data growth? Look at a data: 2011 Global Production and replication of data reached 1.8ZB (zetabytes). "zb" is currently the largest unit of data storage, 1.8ZB is about 1.8 gigabytes, if the data are all installed in the 32GB version of the ipad, the ipad can build a mountain 25 times times higher than Mount Fuji, or a 6.1-meter high wall, enough to surround the entire South America.

The report, published by the storage industry, EMC and Research institute IDC, points out that over the next decade, companies will manage more than 50 times times the volume of data, growing faster and even beyond Moore's law. "Massive data swept, from the data to find out the Enterprise innovation Strategy, is currently the most important trend, the importance of the slightest action and cloud!" "said Bill McDermott, chief executive of Business Analytics software SAP (SAP), McDermott.

"How To make the mine (material) into steel (wisdom) is now the most serious challenge," Tian, chairman of China's broadband capital, believes that the wisdom that can be obtained after the data is concentrated is not just a matter of science and technology, but a business decision.

Tian that the future of the world's soft and hardware are not making money, information is the most valuable asset. Indeed, the opportunities that can be developed from the information, such as the telecommunications industry through tens of millions of customer information, can analyze a variety of user behavior and trends to sell to the needs of enterprises, this is a new information economy.

The idea of finding business opportunities from large sources has not yet become a clear trend in Taiwan, but Europe and the United States, and even China, have been the subject of attention. At the end of last year, SAP held a Chinese business meeting in Beijing to discuss how to get business opportunities from the data, the scene is really "million-head drilling", a total of thousands of people attended, including Lenovo, Haier Group, farmer Spring are sent high-level, in the meeting to share the secrets of processing information.

Haier Group is an example of Chinese companies trying to transform, in the past by high-level strategy, the front-line responsible for implementation, "but gradually found that this does not meet consumer demand," Haier Group CEO Zhang said. Haier now uses quantitative data as the basis for the enterprise, first through the analysis of information to understand customers, before the formulation of product strategy, through the front-line collection of information, can very clearly know the market demand changes.

Transition thinking: Customer-centric

In the past, enterprises in order to inventory production, sales strategy, resulting in price war, "Now is the first want to sell before production, should be user-centric, in order to customer sales," Zhang said, research and development personnel has not developed products, but research and development market, "this is the business intelligence analysis brought about by the new thinking of enterprise transformation!" 」

In fact, the case of gold mining from large data has been around you and me, the European fashion brand Zara is an example. The key to the success of Zara's market reputation is "fast fashion", a week will be able to shelves two of new products, each of the first volume is not much, after a wave of sales analysis, and then for the popular style of additional quantity, customer demand-oriented production strategy is the key to the success of Zara.

Outlets, Taiwan's most successful retail retailer, is also a representative enterprise that will be the front desk pos and all kinds of information analysis, and constantly put forward innovative solutions. In addition, China's largest Taobao has a group of groups dedicated to the analysis of user visits to visit the way to understand the user will often be in which nodes, decided to buy or decide to leave the shopping page, and then optimize the site user interface.

PS: The case at the beginning of the article, just in Saturday at the University of Hong Kong, a professor at the College of thought, told the big data age, let the precision is not a cloud, but the user's privacy issues also let some users beware, such as the Forum on the professor mentioned a case, the supermarket through the analysis of a female customer shopping data, The customer sent a baby test, but the woman's father was very angry and immediately called the supermarket, because her daughter is still underage! The supermarket manager immediately called to apologize, but in fact it was really pregnant for the little girl. From this case, we can find that the application of large data is really very good!!

The source of this article: digital era