Need For 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 ...

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 ...

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 ...

Has the "Big data" era come? The trend is a ridiculous and respectable force: today, if you open any media, if not mention "big data", I am afraid to be embarrassed to publish. This trend is so overwhelming that even state leaders are no exception. 　　The question is: Why does everybody say Pro data? The value of data, with the exponential growth of data volume, has no longer been able to show through the traditional charts, which is why business intelligence has not yet become popular, has been "data analysis" to squeeze the stage. Because, the value hides in the data, needs the data analysis to be able to release these ...

The intermediary transaction SEO diagnoses Taobao guest Cloud host Technology Hall We are in the data analysis, most of the time in the use of trend analysis, comparative analysis, subdivision analysis of these three methods, but there is still a way we will often use-cross analysis, especially when troubleshooting data anomalies, Cross-analysis reveals its power. In addition to say sorry to everyone is the blog update frequency may not be so frequent, but as far as possible to publish at least a month, hope that the quality of the article is guaranteed, or welcome to comment on the discussion, can send ...

In the Internet industry, 2013 can be said to be recognized as a trans-era significance of the "big data year." In this year, the data is more precious than ever, and even become a new energy source comparable to the oil resources, the big data is considered as the information and the Internet after the whole revolution of the message again peak. 　　However, large data is not a slogan, and more enterprises need to be put into practice to dig out the potential value from the monotonous data. A survey earlier this year pointed out that 28% of global companies and 25% of Chinese companies are already starting to practice big data. To learn more about China ...

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 ...

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 ...

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 ...