Why do companies have to take big data revenue?

In recent years, the word big data appears in the industry frequency is very frequent, was fired by the rising, with Luoyangzhigui to describe also more. Shout Big data every day, but how many people really understand big data? First of all, not the technical level, just the surface of the things, know how many people? Companies are so attached to big data, what are the big data, or what value does it bring to the business? Let's take a discussion of big data.

Big data, also known as the vast amount of information, refers to the magnitude of the data involved is not able to through the current mainstream software tools, within a reasonable time to capture, management, processing, and collation to help business decision-making more positive purpose information. Even so there are still many companies value big data this piece, said why many enterprises will pay attention to big data, one of the most important reason is the characteristics of big data, that is large volume, diversity, low value density, fast speed. Understanding the characteristics of big data is also a further understanding of the concept of big data that we have previously described, which features the following:

1 ) data volume is huge. From the TB level, jump to PB level.
　　2) wide range of data types, blog, such as video, pictures, location information, and so on.
　　3) low value density. Take video as an example, the data that may be useful during continuous uninterrupted monitoring is only two seconds.
　　4) fast processing speed. 1 Second law. In the end, this is fundamentally different from traditional data mining techniques. IoT, cloud computing, mobile Internet, telematics, mobile phones, tablets, PCs, and a wide variety of sensors all over the globe, none of them are data sources or bearer methods.

At present, the main source of big data from the enterprise, whether it is enterprises or other institutions will produce a lot of data, these data seems useless, in fact, these enterprises lack the value of the eyes to find data. There is a classic case, a supermarket through the analysis of a female customer's shopping data (including shopping list, browse items, consulting information, video surveillance information < supermarket wandering area >, etc.), according to the analysis of the female customer sent a pregnant baby test supplies, this move made the female customer's father very angry, Immediately call the supermarket to complain, because her daughter is still underage! The supermarket manager immediately visited the apology, but the fact was that soon after the little girl had to tell her father the truth because she could not conceal her bulging abdomen: she was really pregnant. Through the analysis of the data, the operator can find out the intrinsic connection of certain things, so that big data is applied to all walks of life, widely used, large to a city's operation, small to a store business, such as the financial field, e-commerce, Internet of things, etc., especially the e-commerce industry, every day there are thousands of data. The clever use of this data, often more than a multiplier.

Big data is so widely used, presumably many people will ask: what can it solve for the enterprise? Business intelligence and OLAP can be said to be the leader of big data applications, and the use of big data today has largely helped companies improve productivity and competitiveness. For example, in the market, companies can use big data related analysis, can help enterprises to solve the flow of customers, more accurate understanding of consumer behavior, mining new business models, such as operations, big data analysis to help enterprises improve operational efficiency, optimize labor input, Thus reducing the cost of human resources. No doubt big data is a means to help enterprises analyze large amounts of data and further tap the market segment, which can shorten enterprise product development time, enhance enterprise's innovation ability in business model, product and service, and business decision-making level, reduce the risk of enterprise operation.

For enterprises, big data challenges and values coexist, if you can make good use of this tool, the value of big data is visible and tangible. Big data through the method of data analysis to explore the potential value, has important research significance and practical value. Also hope that business leaders can make good use of this "weapon."

Reproduced in the Austrian Power-bi Business intelligence official website http://www.powerbi.com.cn/more.asp?id=1078

Why do companies need to take big data revenue?