Business intelligence for Wang Cloud computing needs smarter system

With cloud computing in full swing today, the IT industry is generally beginning to think that the concept of speculation is not meaningful, instead of pragmatic to promote the landing of cloud computing. So in the process of driving cloud computing, it is inevitable how to deal with today's volatile market, with appropriate analytical tools to make judgments and decisions. This involves business intelligence analysis (BI), which is also at the heart of corporate insight. This paper will analyze the evolution of the traditional business intelligence to the modern BI Business intelligence analysis from the main evolution of the server market in recent years.

Traditional BI Analysis transformation accelerates

The traditional BI analysis pattern can be summarized as orap (data analysis Mining) and ORTP (data real-time analysis) two kinds of applications, but not a server system can simultaneously both high parallel data throughput and processing, performance and scalability capabilities, and at full load while ensuring reliability.

In fact, in many experts ' speeches and analysis reports such as IDC, we can conclude that: traditional enterprise Bi (business intelligence) analysis is more focused on historical analysis, to achieve strategic decision-making-such as financial results, retrospective performance analysis, etc.-in the past, enterprise operators 80% of decision-making information from the internal system. Dynamic Business Intelligence (active BI) is more focused on real-time integration of business processes to achieve decision-making in operations-according to statistics, the internet age, the dominant enterprise operators decision-making information 80% from outside the enterprise.

Contrast between traditional bi and dynamic bi

(Traditional) Internal-"competitor" (dynamic)

(Traditional) Concurrent comparison--Real Time report (dynamic)

(Traditional) Product analysis-"international environment (dynamic)"

(Traditional) Performance analysis-"policy changes (dynamic)"

(Traditional) Revenue management--"risk management" (dynamic)

(Traditional) Statistical statement-Financial Analysis (dynamic)

As can be seen, the future BI analysis should be real-time, the more accurate closer to real-time BI analysis will enable enterprises to gain the opportunity. The author in contact with a lot of CIOs and CEOs also learned how to real-time observation of their own enterprise inventory, sales amount, implementation costs, profit margins, and so will in the future to a large extent affect the enterprise decision-making.

IBM and other manufacturers to launch integrated systems

Oracle first launched the Exadata and exalogic, such as integration from real-time data analysis and cloud computing. The Exadata Database cloud server uses the Xeon E5 platform, plus flashfire technology, greatly reduces the system response time and improves the computing performance and the scalability of online transaction processing. Exalogic, through large-scale, key business design, to provide enterprises with a variety of application support, thus becoming the core of integrated enterprise data Center machine.

Similar to IBM's recently launched "Expert Integration System", the system has been referred to as one machine. The reason is that IBM integrates power minicomputer, x86 blades and V7000 storage, network modules and so on in a cabinet. This is true from the hardware, but it's better than the average one in terms of integrated solutions. IBM has emphasized that IBM expert integration systems integrate IBM's hundreds of industry solutions over the past 20 years and are tuned by IBM experts to be pre-installed in the factory, and that the hardware system allows multiple operating system platforms such as AIX, Linux, and Windows.

Eight, recount. Manufacturers respond to cloud computing and business intelligence analysis, with the exception of IBM and Oracle, HP's Superdome2, and Dell's vstart are staring into the All-in-one field. Everyone's differences aside, but cloud-oriented and business intelligence analysis of the market convergence is consistent. In addition, these vendors seem to agree that users need to streamline it, so all in one machine to reduce the difficulty of user management it and the complexity of deployment.

Intel ODCA Alliance More emphasis on intelligent cloud computing

In addition to the fact that server manufacturers use one machine, chip makers like Intel are also actively involved in cloud computing and business intelligence. The Cloud Builder program (Cloud Builder) and ODCA (Open Data Center Consortium), which are consultants for Intel, are important groups in this area.

The cloud-building program is an alliance of many vendors in the Intel United industry, designed to increase communication between vendors and help partners directly deliver the right solution for customer needs by simplifying the simplified deployment of solutions across vendors. The program now has more than 50 industry leaders, 100 global end-user deployments, the reference architecture has increased by 3 times times to more than 90.

The Open Data Center Alliance is neutral, and its participants are mainly customers from around the world who are eager to use and are using cloud computing technology. According to the introduction, currently the alliance has more than 300 enterprises to join, the annual IT investment limit of more than 100 billion U.S. dollars. And in June 2011 launched the first it cloud requirements, in September launched the industry's first song PCC solution. The thrust of the alliance is to maximize the user's needs and to roll out mature cloud computing solutions and share them with other partners in the industry, thus driving the development of the entire cloud industry.

Comments

can be seen. Cloud computing has always been criticized as difficult to fall, while in the business intelligence industry, companies are using cloud computing technology and philosophy to deepen and promote the development of BI. And the emergence of one machine and various cloud computing alliances also prove that the market is indeed evolving in the dynamic, the common interests of the shape of the product technology and the formation of the user team.

It is not important, then, whether business intelligence drives cloud computing, or that cloud computing, in turn, facilitates business intelligence progress. Going hand in hand seems to be a better situation for both, and better eco-environment support for users.

(Responsible editor: The good of the Legacy)