User Data Analysis

In the past 30 years, many companies have added new management to cope with the vagaries of the business environment. In the middle of the 80, the CFO was a strange position for most companies. However, with the increasing transparency of value management and corporate-investor relations, more and more companies have CFOs. With the growing importance of brand building and customer management to the company, the chief marketing officer becomes more and more important, and many companies set up a chief strategist to help the company deal with the challenges from the market. Now, the power of data analysis is profoundly affecting the business landscape. Get hold of ...

In the past 30 years, many companies have added new management to cope with the vagaries of the business environment. In the middle of the 80, the CFO was a strange position for most companies. However, with the increasing transparency of value management and corporate-investor relations, more and more companies have CFOs. With the growing importance of brand building and customer management to the company, the chief marketing officer becomes more and more important, and many companies set up a chief strategist to help the company deal with the challenges from the market. Now, the power of data analysis is profoundly affecting the business landscape. Get hold of ...

With the development of the Internet, mobile Internet and IoT, no one can deny that we have actually ushered in a massive data era, data research company IDC expects 2011 total data will reach 1.8 trillion GB, the analysis of these massive data has become a very important and urgent demand. As an Internet data analysis company, we are "revolt" in the field of analysis of massive data. Over the years, with stringent business requirements and data pressures, we've tried almost every possible big data analysis method, and finally landed on the Hadoop platform ...

The intermediary transaction SEO diagnoses Taobao guest cloud host technology Hall from the website user level, we subdivide the user into each kind according to the user visit behavior characteristic, because the user behavior is different, the behavior statistic index is different, the analysis angle is different, so if wants to subdivide to the user, Can be from many angles according to a variety of rules to achieve a variety of classifications, see some data analysis reports do a variety of user segmentation, a variety of user behavior analysis, combined with other dimensions, it seems that the content is absolutely rich, but it is difficult to understand the results of these analysis is to explain what ...

The intermediary transaction SEO diagnoses Taobao guest cloud host technology Hall billion Power network case Center editor-in-chief Wei The Science and Technology COO Zhang Shaofeng The Korea all clothing House PR director Chen the electricity merchant experienced the extensive brutal growth, gradually enters the fine operation stage, the data mining and the analysis also becomes the new target which the electricity merchant enterprise exerting force. 　　What data mining directly drives sales growth in the finer battles of this data? How do I turn data into sales? Less than 5% power companies have data mining team billion power ...

* The content of this article by the Ferry, Sword Rainbow, and the author together to provide, the author summarized TB recently in various key products and shopping processes have joined the user feedback portal (Figure 1), also opened a variety of official forums to collect user opinions and suggestions, so will collect a large number of plain text data. How do you analyze these data to guide product improvement? This article will describe the theoretical basis and practical application of content analysis (content-analysis) in the processing of network text data (e.g., user feedback). Including: The content analysis method brief, the enterprise application content analysis Step ...

It is an important goal for us to realize the improvement of enterprise operation efficiency through large data technology, but this work is not easy for every enterprise. On January 21, "1 billion said TalkingData mobile Internet Industry index Data Report", a number of industry experts and senior talkingdata for us to share the release of large data value existing pits, and how we can solve. The so-called 1 billion said, refers to the TalkingData platform now covers 1.06 billion of mobile smart devices, including iOS, an ...

The intermediary transaction SEO diagnoses Taobao guest Cloud host Technology Hall website Operation dimension optimization process, the author mainly summed it up to three stages, the first stage is the new station after the release of the site content to cultivate the spider trust period, the second phase of the article included a number of promotion, the construction of the chain content of the site weight promotion period, The third stage after the weight of the site, keyword ranking of the stability of the maintenance period, the author today and you discuss the topic is about the weight of the site after the stability of the time how to use data analysis to understand user behavior to enhance the user experience, thereby stabilizing the site weight and platoon ...

From August 19, 2014 to 20th, the "2014 China International Data Conference" was held at the Ambassador Hotel in Beijing. 　　The following is Zhu speech by general manager of IBM China Development Center information Management Software Department. 　　Point of view concentration: 1, large data this matter, if it has a life cycle, I think it has not exceeded its infancy; 　　2, the charm of large data is not that it is big, but it is such a large number of data can produce more and more value before. 3, the big data is not only refers to the new data, in this society, the most valuable data is still ...

Intermediary transaction SEO diagnosis Taobao guest Cloud host technical Hall The purpose of the data Warehouse is to build an integrated data environment for analysis, and to provide decision support for enterprises (Decision Support). In fact, the data warehouse itself does not "produce" any data, at the same time does not need to "consume" any data, data from the outside, and open to external applications, which is why called "Warehouse", not called "factory" reasons. Therefore, the basic structure of the data warehouse mainly contains the data inflow and outflow process, can be divided into three layers-source data ...