Data Analytics Future Scope

Although businesses used to rely on intuition, they can now use business intelligence and analytics to make factual decisions and answer questions such as how to design product prices, what markets the new service targets, and how to reduce risk. In this series, we will discuss the value of applying cloud computing in business intelligence and analytics. In the first part, we introduce the reason of business intelligence and analysis. In this article, we will discuss the specific value of the intelligent analysis cloud. Information and the development of information technology, as well as information on various ways to change the way we live and work. Business Intelligence and Analysis ...

When the data is more and more and the network is more and more common, the traditional security protection mode of setting boundaries is more and more powerless.   With large data technology for security analysis, that is, large data security analysis methods, gradually into the mainstream. IDC predicts that by 2020, cloud security, Internet security and large data security will be the three pillars of the information security market, and that large data security is the key to ensuring enterprise security in the future. As early as two years ago, Gartner had predicted that the boundaries of security would become increasingly blurred and that big data would be the key to solving security problems. and g ...

At present, big data has become a hot topic in the world. Gartner ranked large data as the most important technical direction for CIOs in the 2012, and IDC believes that big data is one of the most significant aspects of the enterprise's capacity reserve. In the recently held Teradata Data Warehouse and Enterprise Analysis Summit, the industry's hot talk "Data gold", looking forward to the bright future of the big data age. China Cloud reporter was fortunate to interview the Teradata company Chief Technical Officer Baoliming (Stephen BROBST), Teradata How to ...

This article describes ways to perform large data analysis using the R language and similar tools, and to extend large data services in the cloud. In this paper, a kind of digital photo management which is a simple and large data service is analyzed in detail, and the key elements of searching, analyzing and machine learning are applied to the unstructured data. This article focuses on applications that use large data, explains the basic concepts behind large data analysis, and how to combine these concepts with business intelligence (BI) applications and parallel technologies, such as the computer Vision (CV) and ... as described in part 3rd of the Cloud Extensions series.

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 ...

Guide: Yahoo CTO raymie Stata is a key figure in leading a massive data analysis engine. IBM and Hadoop are focusing more on massive amounts of data, and massive amounts of data are subtly altering businesses and IT departments. An increasing number of large enterprise datasets and all the technologies needed to create them, including storage, networking, analytics, archiving, and retrieval, are considered massive data. This vast amount of information directly drives the development of storage, servers, and security. It also brings a series of problems to the IT department that must be addressed. Information...

Nowadays, due to its long-term economic downturn, Japan has been facing many problems such as the declining international status, the aging of its young children, increasing social insurance costs and the aging of its social infrastructure. In order to change this status quo, the Japanese government has decided to maintain its sustained economic growth by deciding to promote economic development by vigorously developing the IT industry, especially big data and data and cloud computing. And Japan's major IT companies are looking forward to because of the big data and cloud computing has become the core of IT business strategy. In addition, regardless of the big data technology or the practical application of the enterprise, Japan occupies the ...

Open source code platforms for large data are becoming popular. 　　In the past few months, almost everyone seems to have felt the impact. Low cost, flexibility and applicability to trained personnel are the main reasons for open source prosperity. Hadoop, R, and NoSQL are now the backbone of many of the enterprise's big data policies, whether they use it to manage unstructured data or perform complex statistical analyses. "It's almost impossible to keep up with it: SAP AG recently released a new product, SAP BusinessObjects Predictive analytics, software integration ...

Editor's note: The New York Times has written Pro Data age has come, http://www.aliyun.com/zixun/aggregation/13768.html "> Data scientists have been dubbed the most sexy occupation, but E-commerce consulting company Jack's founder and CTO Scott Brave says we don't need more data scientists to make big data easier to use. Here's what he thinks: Big numbers are hot this year, so the New York Times ...

Marketing executives at a sizable retail company in the United States recently found themselves ignorant of sales reports. One of its major rivals is continuing to expand market share in a range of business areas. Despite a combination of online promotions and optimized sales, her company continued to lose ground in the city. So she summoned the top brass to do a thorough study of the competition and found that the root of the problem was far beyond their imagination. Opponents invest heavily to improve the ability to collect, consolidate and analyze data from stores and apply them to each sales unit. It also links this information to the database of suppliers, ...