Ideas For Data Analysis Projects

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 ...

Big Data has now become the focus of attention, many companies are struggling to put their own data to use, hoping to provide support for important decisions. While big data hype and hype are raging, 92% of companies remain neutral, planning to start at "the right time" or to say they don't intend to touch big data projects. 　　In companies that have already hands-on big data projects, most fail and often fall into the same trap. The key to success with large data projects is to build an iterative program that encourages existing members ...

Implementation of http://www.aliyun.com/zixun/aggregation/13844.html "> Large Data Project has one of the most important purpose is to better understand customers." The findings come from TechTarget's survey of 184 it and business professionals in the UK and Europe. The survey, which took place from July 2012 to September, deals with the status of the use of large data technologies and also analyzes the business reasons for large data projects. Investigate ...

Recently, two things about large data are worthy of attention: first, in the middle of May, our school set up a large agricultural data research center. The second is the middle of June, the first domestic agricultural data industry technology Innovation Strategic Alliance was established in our school. 　　These two events will have an important impact on the next development of the school, and also bring new opportunities for the development of the subject. At present, large data research and application in the domestic just started, the agricultural data related research has not been deeply involved, it should be said that our school in this area to grab the first mover. 　　We must cherish and grasp this opportunity, and actively carry out relevant research, as soon as possible to achieve results. ...

Editor's note: Data Center 2013: Hardware refactoring and Software definition report has a big impact. We have been paying close attention to the launch of the Data Center 2014 technical Report. In a communication with the author of the report, Zhang Guangbin, a senior expert in the data center, who is currently in business, he says it will take some time to launch. Fortunately, today's big number nets, Zhangguangbin just issued a good fifth chapter, mainly introduces Facebook's data center practice, the establishment of Open Computing Project (OCP) and its main work results. Special share. The following is the text: confidentiality is the data ...

The intermediary transaction SEO diagnoses Taobao guest Cloud host technology Hall data analysis, as the name suggests, namely data + analysis. That is to say, the data must be analyzed first. "Implementation that is not based on data analysis is bullying". 　　The collection of a large number of firsthand data and second hand data analysis, in order to maximize the development of data information function, play the role of data is the ultimate goal of our data collection. Some time ago dedicated to a website on the automotive Industry data collection and analysis, do not very good, but in the process I harvested a lot ...

"I know everything that's been removed from the shelves, and I know a lot about the consumers who have a membership card, but when we put a product similar to what the consumer buys on the shelves, we don't see the expected revenue growth." 　　"And why?" Big data, large numbers, is a quantitative message based on the behavior of people on the Internet and social media. With the gradual explosion of such data, the desire of companies, academics and the media to use the data has been stimulated. Among them, the company's executives are fascinated by the details of the customer's activities (such as who they contact, hi ...).

Vendors focused on data warehousing, large data analysis and integrated marketing management Solutions Teradata (Teradata Corporation, New York Stock Exchange trading Code: TDC) announces Teradata Data Lab software (Teradata LAB) Teradata Real-time workspaces within a data warehouse to help organizations innovate, identify trends, or immediately respond to a business environment by quickly exploring and testing new ideas and data. Teradata ...

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...