What is the definition of "big data"?

Source: Internet
Author: User
Keywords Big data big data they big data what they are what they are what they are what they are what they are what they are what they are what they are

More than half of the respondents were small and medium-sized enterprises, according to a > survey of 154 Companies Http://www.aliyun.com/zixun/aggregation/32268.html, just released by Harris Interactive. The survey shows how they define "big data". 28% of respondents said it meant "a massive increase in transaction data". And 24% said it was a new technology for managing massive amounts of data, and 19% of respondents defined it as "compliance data storage and archiving requirements." ”

No matter how they define big data, they only know they want it! About 76% of the respondents described the big data as a new "opportunity" for their company.

Perhaps big data for small business owners, like Pinterest companies, are often mentioned in technical and commercial media, and they believe they should do something, even if they don't have any direction about how to proceed.

"Small businesses are almost always more or less interested in big data, and they are trying to capture that information and use it to create competitive advantages." "Steve Lucas, executive vice president of SAP, the sponsor of this survey, said.

Don't be overwhelmed.

Lucas himself defines large data as data from many different sources, providing businesses with more information than they have traditionally received. He likens the handling of large data to crossing the road in Mumbai, and if you're going to cross the road in the United States (wait for the green light, look right, look to the left, if no car is coming, start walking) can get you killed by a car.

The survey showed that this was a dilemma for small businesses, fearing that their larger peers would be buried with massive amounts of data. How to avoid it?

1, focus on a little

Many expert sources (including included) suggest measuring every possible parameter, from the page loading time to the customer's color preferences, to the location and time of your product. This is a powerful approach, but if it's too much for your business, you can first figure out which issues are most important and focus on collecting as much data as possible. "If you don't have a strategy to find the noise signal, you'll get lost because there will be more and more noise." Lucas warned.

2, the use of technology to manage data

Lucas recommends using software tools to help manage and monitor data. This is not surprising: SAP is selling such tools for real-time tracking of data in social media. Whether or not these tools are meaningful to you, it can be a good idea to look for data analysis tools or experts to help you turn a lot of data into business intelligence.

3. If you don't know what big data is, don't worry.

No one can really figure it out. Lucas said he was hired to help the federal government make use of large data for a member. The first agenda of the Committee is to find out what is the big data?

"There is no moral authority on data anywhere in the market, or anywhere else in the world. "he said. "For big data, everyone has a different point of view, and these ideas will continue to arise." ”

In the end, it doesn't really matter, he adds. "The key is not what is big data, but what you do with it." ”

(Responsible editor: The good of the Legacy)

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