Big data: 5 tips CIOs must master

IDG News Service New York branch Joab Jackson

The wave of data that began with the analysis of some Web service providers is spreading to the general business. This is because, even if the current conditions are not perfect, but in order to maintain competitiveness and maintain normal business, to make full use of large data. In this case, the following article will introduce the enterprise's intelligence of the top person to have to master the 5 items of large data.

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First, the situation requires enterprises, grasp the big data.

Analysis of large data, initially by Google, Yahoo and Twitter and other U.S. Web service providers began to do. This is because these enterprises need to maximize the use of information resources from users. However, from the current trend, we believe that even the general enterprises in order to maintain competitiveness and business operations normally, one day in the future will be a good use of large data.

Jo Maitland, head of Gigaom Research in the US, points out that some companies in the United States, despite their small size, have a lot of data, such as a hedge fund that has a lot of data. In addition, McKinsey and Company, a consultancy in the United States, recently predicted that in the next few years, a wide range of industries, including public institutions, health management, retailing, and manufacturers, would be able to obtain the corresponding financial profits by analyzing large data.

Eric Baldeschwieler, US yahoo Hortonworks, the Hadooplinux release, said that a climax is now emerging to realize that mastering big data is an essential project for businesses. This trend has universal significance and is applicable to customers in many fields. This is because the collection of transaction information and analysis of it will enable enterprises to better understand the consumer trend toward consumption. Because these data can be used in addition to new product development and new services, but also to use the fastest speed to solve future problems, to provide convenience.

Second, information and data that are useful to businesses are ubiquitous in everything.

Some people may feel that there is not a single most important amount of data available at hand, but we can say that the day will come when you can master the data. The Baldeschwieler points out that the big data you want is simply "formed by collecting scattered data."

For example, a computer Operation log folder (log file) on the server may be a large data. The server tells everyone about the different sections of the different areas that he's looking for. By tracking the data, you know what the customer needs. Parse the action log the matter itself is very early, but in the new situation, it will be at a higher level of analysis, its analytical precision will be further improved.

At the same time, the data taken from the sensor will become large data. In recent years, some securities analysts have already begun to talk about how low-cost sensors connected to the network, the continuous issue of data information, in order to understand the "material" of the flow and consumption process, that is, "things" network phenomenon. Now we can imagine that this data can come from the information provided by vending machines for vehicles, bridges and beverages. Microsoft Kevin Dallas points out that the real value of the IT industry's equipment is to make it collect data and analyze the information it collects in order to improve business efficiency.

(Responsible editor: The good of the Legacy)