Finding the right application goal: Big data future key points in business

Large data is a more technical component of the topic, because the data processing in a technical breakthrough, such as MapReduce, Hadoop, such as decentralized large data processing technology to ask the market, we have a better way to deal with future data processing and analysis of the problem, such as the rapid increase in data volume, The frequency and speed of data flow are fast, as well as the geometric data which is increased massively.

But with these new data-analysis techniques, it doesn't make business smarter and more money. Without a clear commercial application, large data will not bring any value. However, it is a big problem how the IT department knows where the commercial application of large data is.

Big data makers say there's a lot of information executives asking: What can big Data do? This is actually the problem that foreign enterprises are facing today, the former has a large data seminar in the United States, there are information managers to respond to this problem, because it department is difficult to find the application of large data opportunities, but rather is the boss or business unit managers can find the opportunity to use large data, However, bosses or business unit managers are often not aware of it technology, and it is not clear to what extent today's large data data analysis technology can be, of course, what business problems can be improved by large data, or even create new opportunities.

The information director of the US company also mentions that the IT department has been mostly dealing with structured data, figuring out new usage from data in relational databases, or improving business processes without being stumped by IT staff, but for unstructured data unfamiliar to IT staff, It's more difficult to think of new ways to use them.

So, if the IT department leads into the technology of large data, and then to see how it can be used, may not have a good ending. Unlike cloud computing, even if you're wrong in the first direction, you'll always start with the virtualization of your IT infrastructure and end up with a record of virtualization benefits even if you don't meet the goals you originally set.

In an interview with EMC technology, he noted that he saw some changes in the development of big data in the United States, and that some companies had shifted from a discussion of specific technologies to a commercial approach to the application of large data, which he thought would be a good result for big data.

Large data allows you to deal with large data analysis of the sharp weapon, if there is a clear application of the purpose of the company or the community, may bring great benefits, but there is no clear goal of sharp objects, will still end up heroes.

I was very impressed with the application of a large data in the previous array. Japan has a big data application program that collects information about car-use computers, statistics on sudden signs of car brakes, offsets, and so on, and then statistically analyzes the locations where motorists generally have emergency brakes, And then personally to observe the actual traffic situation, according to the situation of the scene to adjust traffic log or change the rules of the traffic regulations, the results of the specific reduction of the incidence of accidents, which is a great welfare for the people.

The project must collect a lot of information on vehicle computers in order to effectively identify all the possible locations of traffic accidents, so it is bound to face a large number of data analysis challenges.

In fact, after understanding the technical capabilities of large data, there are good application cases in all walks of life, such as banks used to forecast more volatile global financial markets, the rapid dispatch of global investment, and agri-food companies to analyze abnormal weather to adjust crop planting strategies on different farms around the world; even, Studios can store every word of an actor with large data technology, and they can quickly find each clip and trim the most moving results.

The big data analysis problem that could not be solved before, now, big data can help in the technical to be busy, as long as the right commercial application target, big data can become a big hero.

(Responsible editor: Schpeppen)