What To Do With Big Data

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

For many market researchers, "medium data" is the analysis goal that truly provides ROI value returns. The so-called "Big data" analysis, will show a diminishing ROI. The industry's skepticism about the concept of "big data" has never stopped, and many people think it is just an overly hyped marketing bubble. Indeed, most companies do not have PB-level data, such as Google or Facebook, in terms of volume of data. So, does big data have any meaning? Data analysis expert Tom ...

Innovative report from the dean of top research institutes when all our actions and our lives can be "data", the company that holds the data is like owning a rich gold mountain. 　　As Victor Maire-Schoenberg says, the big data age is "the future that has happened," and in this already-occurring future, there is no bystander. December 19, 2013, by the boutique media "digital Business Times" sponsored by the "Great data creation of the era of Subversion" 2013 China Summit Forum in Beijing to make a grand Holiday Crowne Plaza Hotel ...

The data again "big" no useful is equal to zero, to collect "slow data" "Live data" on the internet every moment in the production of data, people's lives everywhere in the various devices, such as computers, mobile phones, smart appliances, sensors and so on, can always leave traces of human behavior, real-time data generation, These increased geometric levels of data deposition on the Web, become large data. These large numbers of data again "big" no useful is equal to zero, to collect "slow data" "Live data ...

"Enterprise Observer" reporter Jianwen If you want to choose the last two years in the media, the top ten hot words, big Data no surprise will be selected. However, it seems that everyone is aware of the power of large data but cannot find a way to use large data. 　　Whether it's a business, a government or any other community organization, big data is so close, but so far away. "Big data has become a hot word for people to talk about, but few mention the ability that people need to have in this huge change, and countless businesses and individuals forget to ' count '." "As Vice president of the Business Intelligence Department of Alibaba Group ...

This era has not been a simple digital media era, some business giants have quietly used "big data" technology for many years, with large data-driven marketing, drive cost control, drive product and service innovation, drive management and decision-making innovation for many years. Large data contains a variety of information on the operation of the enterprise, if they can be timely and effective collation and analysis, it can be a good effective way to help enterprises to carry out business decision-making, to bring the enterprise to obtain huge value-added value benefits. This issue with large data on the most closely related to the retail industry, and small partners to share big ...

This era has not been a simple digital media era, some business giants have quietly used "big data" technology for many years, with large data-driven marketing, drive cost control, drive product and service innovation, drive management and decision-making innovation for many years. Large data contains a variety of information on the operation of the enterprise, if they can be timely and effective collation and analysis, it can be a good effective way to help enterprises to carry out business decision-making, to bring the enterprise to obtain huge value-added value benefits. This issue with large data on the most closely related to the retail industry, and small partners to share big ...

Foreword 2012 years time "big data" the argument gradually appears in our vision, to 2013 years "The Big Data" became the hottest discussion topic, then what is the big data, the big data actually has what magic to let the person go hot to discuss? Let's look at the definition of large data: "Big Data", Or the vast amount of data, refers to the volume of data involved in the large scale to be unable to pass the current mainstream software tools, within a reasonable time to achieve capture, management, processing, and collation to help the business decision-making more positive purpose information. (In Victor Maire-...

Big data goes from "concept" to "value", based on large data recommendations and forecasts gradually popular, data science will rise, security and privacy become an important issue, the large data industry into a strategic industry-this is the Chinese Computer Society large Data Expert committee on the "Big Data" 2014 Ten trends in the prediction of the content. In this forecast, it also includes data commercialization and data sharing alliance, large data ecological environment development and so on. At the same time, the large data experts committee predicts that 2014, the Internet and E-commerce, Finance (stock market forecasts, financial Analysis), health care (epidemiological monitoring and forecasting ...).