2013 Big Data exerting force: "Aggravating" financial innovation integration Collection viewpoint

This year, whether you realize it or not, big data has come to our side.

The electricity business launches the advertisement, the logistics dispatch capacity, the SFC catches the mouse storehouse, the financial institution sells the fund, the Civil aviation saves the cost, the farmer cracked pig cycle, the producer pats the film ... Seemingly unrelated things, behind the big data in the force. With the internet, mobile Internet penetration in various fields more and more deep, from the government to enterprises, from groups to individuals, the accumulation of data is increasing day by day. The issuance of 4G licences has also allowed mobile data access to be upgraded from "Country roads" to "highways". It can be foreseen that the speed of big data sweeping all walks of life and people's lives will only get faster and quicker.

Close to the end of the year, let us review the industry praised the "big data Year", feel it brought us changes, embrace the coming future.

"Aggravating" financial innovation

When the traditional banking industry is still "lying to make money", sitting high profits, the door suddenly came to a "spoiler"-internet finance. This year, the balance treasure was born, micro-letter 5.0 Payment function launched, Baidu Hundred hair Financing online ...

To balance treasure as the representative of the Internet financial products in 2013 a whirlwind, up to now, the scale of 100 billion, the user nearly 30 million. What is the distinctive feature of the balance treasure compared to the ordinary money fund? As large data. To fund the purchase and redemption of the forecast as an example, based on Taobao and Alipay data platform, can timely grasp the purchase, redemption change information. In addition, the use of historical data accumulation can grasp the customer's behavior law.

Ali small loan is benefited from large data. It relies on Alibaba (business-to-business), Taobao, Alipay and other platform data, not only to help identify and spread the risk, to provide more targeted, diversified services, and the bulk of the flow of the operation of the transaction costs greatly reduced.

The traditional financial sector is also embracing big data aggressively. ICBC is building the network information data platform based on the offline POS machine. Ping An group teamed up with Baidu to study consumer online behavior habits, product innovation.

Pulling out the Rat barn.

Back in 2000, a "fund shady", the first stab the fund's glossy myth. The cover-up was based on data analysis, from August 9, 1999 to April 28, 2000, the domestic 22 funds in the Shanghai Securities market, a large stock trading record. At that time, the work was done only by an SSE researcher.

By the year 2013, "Big data" regulation had entered the public eye. In September this year, the SFC notified Malle use of Non-public information transactions, involving 3 accounts, trading stocks 76, the cumulative deal of 1.05 billion yuan, and Shenzhen in the monitoring of abnormal account heavy warehouse and Malle operation account height coincide.

"Shenzhen has more than 200 different indicators, the input force to the prototype system project and share price of the different dynamic link, build market monitoring comprehensive data model, comprehensively promote the insider trading, market manipulation, securities fraud text information mining and supervision." Shenzhen general manager Liping said during the two sessions this year.

In addition, this November, the National Bureau of Statistics and Ali, Baidu and other 11 companies signed a strategic cooperation framework Agreement to promote the application of large data in government statistics. In the future, large data has important strategic value for the problems faced by our country's deepening reform and opening-up, as well as the realistic challenges in environment, transportation, education and medical treatment.

Cracking the pig cycle

Pork is too cheap for a while, farmers ' rights and interests are not guaranteed, in a moment the price of pigs is too high, CPI rising people's lives are affected. How to solve the pig cycle? The key is to solve the problem of asymmetry between farmers and market information.

Liu, chairman of the New Hope Group, proposed that we should centralize the data over the years to establish a dynamic culture, production and market system. Predicting pig cycles through large data and cloud computing, will find that the price of the pig cycle has a certain regularity, about 3-5 years is a complete cycle, less than 2 years, more than 5 years, and this cycle by the country's policy changes, weather changes, infectious diseases, changes in farmers ' income, The change of raw material price and other factors affect people's living standard and purchasing power. All pig farmers in the country, if through cloud computing, large data to the huge data research, analysis, judgment, research a model, set up information systems, pigs will become more scientific.

In fact, large agricultural data can permeate farmland, sowing, fertilization, insecticidal, harvesting, storage, breeding, sales and other links, is cross-industry, multidisciplinary, cross business data analysis and excavation.

Making money "Reading minds"

When a well-dressed lady steps into the mall, the salesman can recommend the style according to her dress. And in the online shopping, the buyers and sellers "double Blind", which makes it difficult to have targeted services.

However, the situation is changing recently: netizens sweet and girlfriends at the same time to enter the same home appliance business site, but the display of the page incredibly different: small sweet was recommended for mother and child supplies, and the boudoir honey is regarded as a cargo.

Taobao has an interesting feature--automatic cruise for shopping carts. The shopping cart is "alive" and can guess the owner's mind. A click of the Automatic Cruise button, the shopping cart will be in the whole network to automatically collect a group of products suitable for users, and presented. It's not too much to call it "mind reader."

How do these shopping forecasts work? Data is the answer to everything. Taobao can be based on each user's favorites, the types of shopping, search records, browsing records, similar recommendations, and so on, tailored to each consumer's list of desires, or even what other people have bought the same type of product, will be a basis for predictions.

Not long ago, Taobao free to the seller to open the data in the shopping cart. Sellers see a buyer to put the goods into the shopping cart, you can directly to the consumer discount. According to statistics, "Shopping cart marketing" has led to a 2.5 times-fold increase in merchandise turnover in shopping carts.

Scan Logistics Nodes

This November 11 afternoon, Hangzhou. Taobao sellers morning mom received a courier company SMS reminder: Due to the area of large shipments, recommend the wrong peak shipments. Morning mother decided to ship the next day, the result is faster.

One day, Beijing. Shentong Courier Gutijin learned that the next day he will send delivery of the volume reached 3 times times the usual. "Do not eat not to drink run broken leg also send not finish!" Gutijin hurriedly got a friend to help to send together, just calculate not to delay.

In Shenyang, consumer Chenya snapped up a shipment of clothes across the province and got it 3 days later. "With the usual difference is not too much, more than the last double 11 obviously fast." ”

"Double 11" period, the sky cat sales of more than 35 billion yuan. Express volume but avoid large area delay behind, is the Big Express company cooperation platform of data radar real-time monitoring played a role. November 13, rookie network data radar monitoring to Yuantong Express Hangzhou Distribution Center Express State 24 hours unchanged. Headquarters judge the node load is very high, immediately report yuantong emergency deployment resources, pressure flood peak quickly to ease.

"Combined with historical data, according to this year's business list, stock volume and other information analysis, we have a double 11 order volume to make forecasts, accurate to each region, network, information and express Company share, so that the adjustment of the layout of the capacity more accurate." "Rookie network Vice President Tan Yu introduced.

Intelligent Machine

How to make flying safer, more efficient, or even cheaper? The airline industry has long pursued this goal.

Spring and Autumn airlines have easily saved 210,000 of dollars that might have been spent. It also starts with the sensors that the GE (General Electric Company) has placed in the aircraft. The data from these sensors in the spring Airlines aircraft show that a plane's number second engine fan vibration value suddenly increased, compared with historical data, GE in Shanghai Aviation Customer Support Center immediately to the spring and autumn air sent notice, after the investigation found that two fan blades of the engine was injured by external objects, A major failure has been avoided, and large data systems can judge for themselves which needs to be overhauled, saving the high cost of a wide range of manual repairs.

In 2013, the head of GE said it would spend 1.5 billion of billions of dollars on "industrial Internet" in the next three years.

The internet, big data not only makes airplanes smarter, it even makes all machines intelligent. When the industrial revolution brought about by the machine world and the Internet revolution brought about by the digital world deeper integration, the "industrial Internet" concept emerged. The internet connects people with all machines, establishes the nervous system of the mechanical kingdom, and directs the machines to better serve the human race.

Consolidated Collection Point

"Card House" not only in the United States hit, but also red to the other side of the Pacific China, but this did not make the production of Fannai flying company surprised, because the film director shouted "Boot" before he knew it will be fire, the secret is large data.

Nano-flight data scientists analyzed the user's record of more than 30 million records per day, including the user when, where, what kind of equipment to watch what content, and in the record pause, backward, fast forward, scoring, search at the same time, a large number of screenshots, trying to analyze the user in volume, screen color and even the selection of scenes preferences.

The company analyzed the large number of broadcast data and found that a significant amount of users like the work of "social network" director Fincher, while the famous movie star Kevin Specy and the British version of the card house are more hits. Therefore, the company decided to take these ratings to join the gold point, so there is the United States play "card house."

This approach has also been borrowed from China's peers, and in 2013, Archie was planning to make a film of a commercial micro-film that was particularly large, and to see if big-data-guided movies were as popular as expected.