Large data and data openness: changed business entertainment and even love laws

What is big data? Editors, erudite, are trying to get rid of data-piling business cases, and real, practical data mining stories remain.

We're covering bogus data companies? Are we becoming a force in the "Big Data scam" that bill Franks, author of the book "Harnessing Big Data", calls it? The same question happened to Alibaba. According to sources, March 23, Alibaba bought a mobile developer data statistics platform for 70 million dollars. This led to heated discussions by experts about the acquisition of a real big data company?

These questions are not unreasonable.

China does not have large data in the soil. "Almost Sir", "probably qi" cultural label has been there. Most of the time, governments at all levels do not need "big data", the key data for decision-making is only a digital ratio (GDP), and second, for industry authorities, they have a lot of raw data, but they are still tempted to explore the scale of data openness, for example, to open raw data, Or is it open to all kinds of processing data? Is it transferable to a large data company with more advanced computing and storage capabilities, or is it open source and shared with a wide variety of businesses? Thirdly, the tool value of data mining is not fully recognized. In this area, the development of hardware and software is not very mature.

Even so, no one denies the advent of the data revolution, especially in the internet industry. Alibaba's Ma Yun will be big data as a strategic direction, Baidu Li used "box calculation" to plan for the future. Even the CBA (Chinese men's Basketball professional league) has also learned the NBA (American Basketball professional league) a variety of data statistics, analysis and excavation.

Over the past two years, a significant amount of capital has been invested in new data-tool companies, with 1.17 billion of dollars flowing to 119 database software companies in the past two years, according to Dow Jones VentureSource, the US Dow Jones risk source. Last year, SAP's market capitalisation overtook Siemens to become Germany's highest-value listed company, partly thanks to the commercialization of its database software Hana, which Hana a 142% increase in revenue from SAP3.92 billion in the last year.

However, large data can not be analyzed, the excavation of their own direct liquidity ability. On deadline, we reread Victor Maire-Schoenberg, the Big Data age: The big changes in life, work and thinking, and the authors believe that in the future, data will become valuable assets. Over time, it will swagger into the balance sheet.

Case 1: Farmer Spring sells mineral water with large data

Use your imagination and choose the answer you think it is.

Here is the Shanghai urban and rural combination of nine pavilion town, Xinhua supermarket, a corner of the farmer spring Water pile head quietly placed here. The salesman from the farmer spring Day routinely comes to this point, taking 10 photos: How the water is placed, how the position changes, how highly ... This point every salesman to run 15 a day, according to regulations, before work 150 photos were returned to Hangzhou headquarters. Each salesman, the amount of data produced in 10M per day, does not seem to be a big number.

But the farmer Spring country has 10,000 salesman, such daily data is 100G, monthly 3TB. When these pictures like snowflakes into the farmer spring in the computer room in Hangzhou, the company's CIO Jian will have such a feeling: guarding a jinshan, but do not know where to dig the first spade.

The questions Jian want to know include: How to put a stack of water to promote sales? What age consumers stay longer in the water heap and how much they buy at a time? What changes in the buying behavior have occurred as a change in temperature? How did the competitor's new packaging affect sales? Many questions can now be answered, but they are more based on experience than on data.

From 2008 onwards, the photo of the salesman is so collected, if according to the attributes of the data classification, "picture" is a typical non-relational data, but also includes video, audio and so on. To systematically analyze the jian data is the next step envisaged by the farmer spring in the "Big Data Age" must be taken. If supermarkets, financial companies and farmers Spring have some channel to share information, if a similar image, video and audio data can be analyzed systematically, if the person's position has more ways to be monitored, then spread out in front of Jian is a human consumption based on the picture, and the picture is a group of complex "0, 1, 1, 0 ".

SAP Global Executive Vice President, Sun Xiaoqun, dean of China's research institute, said in an interview with the Chinese entrepreneur that the use of data mining is divided into three stages, "the first is to make the data transparent, so that you can see the data, to see more and more data; the second step is to ask questions that can form interactions, A lot of support tools to help us make real-time analysis, and the 3.0 era, the flow of information to guide logistics and capital flow, now data to tell us the future, tell us where to go. ”

SAP has been cooperating with farmer Spring in enterprise management software ERP since 2003. At that time, the farmer spring is only a software procurement and user, and SAP is the role of service providers.

As of June 2011, SAP and Farmer Spring began to develop a data scene of transport environment based on "drinking water" in this industrial form.

(Responsible editor: Fumingli)