The Data Mine

"2012 China Technology Business Leaders Summit" was held in Beijing in November 2012 16-17th. The picture above is the Executive Director of the New Media Marketing Research center of Guanghua School of Management, Peking University and Sumeng, associate professor of marketing. The following is a transcript of the speech: Sumeng: First of all, thanks to the "IT manager of the world," the enthusiasm of the President of the invitation, today to share with you on the big data and new media research and views. Many of you here are very senior marketing scholars and industry experienced professionals, please criticize. I'm going to spend 5 minutes running data-driven management ...

Victor Maire Schoenberg and Kenneth Couqueil in the big Data age tell us the 4V features of large data, namely volume (mass), velocity (high Speed), produced (variety), veracity (real). Large data must be complex compared to small data. However, complexity is definitely an opportunity, not a problem, for us. In the face of the big data age, how to embrace the big data, from the change of thinking way to begin. From "Based on presets ..."

Intel anthropologist Genevieve Bell shared her research on big data, thinking deeply about possible changes to the future from big data, and exploring the implications of these big data phenomena in many different contexts. &http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; "For me, in this job, the data itself is not what makes me feel the most ...

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 ...

Victor Maire Schoenberg and Kenneth Couqueil in the big Data age tell us the 4V features of large data, namely volume (mass), velocity (high Speed), produced (variety), veracity (real). Large data must be complex compared to small data. However, complexity is definitely an opportunity, not a problem, for us. 　　In the face of the big data age, how to embrace the big data, from the change of thinking way to begin. From "structured database based on presets" to "without presets ...

"Tenkine Server channel March 19 News" March 18, the tide held a press conference in Beijing, officially launched the first domestic financial industry-oriented large data customization machine-wave of cloud financial large data machine. 　　The product is the wave group and the domestic leading financial information solutions provider of the South-day information jointly launched for the financial industry's large data mining, analysis platform. In the past 2013, China's financial sector is perhaps the most hot talk of internet finance, internet finance is related to the application of large financial data. Tide is the leading manufacturer of large data processing platform, South Day ...

After cloud computing, IoT and mobile Internet, big data is the product of a new generation of advanced business applications such as information technology and e-commerce, social networking, and smarter cities. How do you capture the huge business value? Wuhan was the first to make overall planning, yesterday, the city's Executive Council principles adopted the "Big Data Industry Development action plan." The city plans to focus on building the optical Valley Cloud Village, zuo Large data industry park, such as the two major bases and Wuhan municipal Government data Center, National Geospatial Information Cloud Data Center and other 7 centers, is expected in 5 years to form a 200 billion-yuan industrial scale, LED ...

Choosing new hardware, storage, and other datacenter infrastructures for large data is a new challenge for IT professionals. Large data is unstructured information with unprecedented scale and form. It includes video, images, and semi-structured data (such as e-mail and text that is common on the web). 　　With more and more sensor-based mobile web monitoring devices and output data, the amount of data available continues to grow exponentially. The pressure to implement big data strategies often comes from the top, because managers believe that companies that can effectively use data will have greater advantages than those who are lagging behind ...

August 15, 2014, IBM Big Data and Analysis Summit Forum held in Guangzhou. 　　As a leader in the field of data and analysis, IBM announces that its large data and analysis has been widely used in the South China region, providing a visible, applicable and landing large data deployment program for more and more South China enterprises to realize industrial transformation and value breakthrough. "Through the cognitive and exploratory phases of the past few years, companies have become increasingly clear," said Mr. Jason Kelley, general manager of IBM Greater China data and analysis and new markets, global business advisory services.

Remember last year 8 15 competition? If you are the CEO of a certain electric company, would you adopt such a competitive strategy? Change is the eternal theme, business management can not be static. In the big data age, it is unwise for the electric trader to adopt price warfare, and to control the management based on the big data strategy will help you to surpass the existing CEO. Cost leading strategy, differentiation strategy and centralization strategy are the three strategies that enterprises can choose in market competition. In the era of information explosion, the fourth competition strategy-large data strategy has become the support of the original three competitive strategies. Big Data change Enterprise decision ...

In the face of rapid growth to the PB level of mass business data, people naturally have many questions in mind, big data can provide my business how to help? What is the relationship between cloud and big data? Cloud can land? Hadoop in the end can be used as a panacea for big data? What role will virtualization play in big data? With so many doubts, today we come to big data. According to a report by IDC entitled "Digital Universe," it is estimated that by 2020, global data usage will reach 3 ...

A few weeks ago, when William Lansing, chief executive of FICO, attended Stanford University's Big Data conference, he found that the industry's heated discussion of big data had increased from three "V" to four "V", that is, volume (data volume), produced (data type) , velocity (processing speed), and value (data values). and the fourth "V" means that the industry is starting to focus on data insights, emphasizing how to get the value of large data. "The value of tapping data is exactly the more than 50 years since FICO was founded ...

Now, cloud computing and large data are undoubtedly the fire of the concept, the industry to their discussion also intensified, then cloud computing and large data encounter again how the link? Some people say that cloud computing and large data are twins, two are different individuals, interdependent and complementary, and some people say that big data is to disrupt. Cloud computing VS Big Data in this regard, IBM Global Senior Vice president, the Department of Systems and Technology (STG) general manager Rod Adkins that the current global IT field has exciting development trends and challenges, now ...

In today's era of big data, businesses can learn more about consumers through a number of channels and can even understand what they need than consumers themselves. But in fact, very few companies really understand the depths of consumers, to give attentive personalized service, the enterprise is not enough intentions or the customer is too picky? In the data age, how companies should be better and faster to meet consumer spending Personal needs, to reach their psychological expectations? In the big data support, the company's personalized service will become more reliable, more popular? The rapid growth of big data and related technologies ...

The hottest science and technology terms for 2013 are none other than "big data," and related books have long dominated the list of bestsellers, giving unprecedented attention to big data. The new ideas brought by big data are gradually penetrating into every industry and changing the way we all think as creators of data. Before the advent of big data, it was a period of rapid development of technologies such as the Internet, cloud computing and Internet of Things. With the popularization and extensive construction of information terminals such as intelligent terminals and digital cities, anyone at any time, anywhere ...

Cloud computing data processing and storage are carried out on the cloud platform, computing resource owners and users of the separation has become the inherent characteristics of the cloud computing model, resulting in users of their own data security storage and privacy concerns are inevitable. Specifically, user data even includes privacy-related content in remote computing, there are potential for intentional or unintentional leaks in storage and communication, as well as data loss caused by failures such as power outages or downtime, even for unreliable cloud infrastructure and service providers, and may be inferred from the analysis of user behavior, Learn about the user's privacy letter ...

Big data surging, red IT industry has never lacked a new concept, the term, new technology, update fast, the launch of the fierce, dizzying. 　　After cloud computing and social networking, big data is now on fire again, surging, and seems to be the most fashionable word in the 2012 Information technology field. Oracle, SAP, IBM, Microsoft and other IT giants, such as looking for a new gold mine, began to dig up large data, multi-directional promotion of large data concepts, especially SAP Hana and Oracle ...

With the advent of cloud computing, "big data" has become one of the most widely discussed keywords in the industry, and many companies are already looking for the right bi tool to handle large data collected from different sources, but despite the increased awareness of large data, 　　But only a few companies, such as Google and Facebook, can really use big data to tap into business value. In fact, with the advent of the large data age, the enterprise's understanding of large data should not be limited to the basic technology such as Apache Hadoop, the enterprise should be from the infrastructure perspective to understand and ...

There is no doubt that all the people in the world concerned about the development of technology are aware of the potential value of "big data" for business business, and the goal is to address the pain caused by the growth of business data in the process of enterprise development. The reality is that many problems hinder the development and practical application of large data technologies. Because a successful technology requires some measure of standard. Now we can measure large data technologies with a few basic elements--streaming, parallelism, summary indexing, and visualization. Who uses the big data? A year ago, some of the major users of data technology ...