IBM Intelligent Analytics Cloud helps companies seize opportunities

At the same time, globalization requires not only a close colleague but also a better sharing of information with its peers around the world. The IBM Intelligent Analytics Cloud responds to the challenges posed by the explosion of information and world flattening, and helps businesses seize the opportunity to gain competitive advantage through business intelligence and analytics.

The IBM Intelligent Analytics Cloud is a http://www.aliyun.com/zixun/aggregation/14307.html "> services product that supports the delivery of business intelligence and analysis to a designated location in a private cloud deployment. The goal of the IBM Intelligent Analytics Cloud is to make the enterprise smarter and empower organizations and employees, especially those closest to customers and suppliers, to make better decisions.

Switching to cloud computing will change the economics of business intelligence and analytics. Fast service delivery time makes it possible to have a variety of new analytics data management projects and businesses. There is no longer a detailed introduction to innovation and new technology. Cloud computing is essentially a more efficient and efficient deployment model. However, there is no change without a challenge. Leaders must understand why and what changes are needed to best transform their businesses to make them more competitive. IBM is aware of the potential barriers to the cloud computing model. In many organizations, business lines often equate information with control and are unwilling to move data to a more shared deployment model. To help businesses recognize the benefits of cloud analytics, IBM focuses the intelligent analysis cloud on business intelligence and Analytics, and allows business lines to control and manage data. Figure 1 shows how the smart analysis cloud adapts to the business intelligence and Data Warehouse reference architectures.

Figure 1. Smart Analysis Cloud application scenarios (see larger image)

Intelligent Analytics Cloud Services offerings provide a complete solution that supports the creation of a core approach for enterprise delivery of business intelligence and analysis across the enterprise. IBM itself has implemented an intelligent analysis cloud, internally called the Blue Insight. The internal private cloud supports 1 PB of data and helps more than 200,000 employees around the world make better decisions, whether they are in the office or in the lab, by providing real-time customer and vendor information. The internal private cloud serves as a template for IBM customer-facing service offerings.

The development of cloud computing

Although the economic downturn that began in 2007 has constrained the budget, it has also stimulated the transformation of cloud computing and accelerated the adaptation of key enabling technologies such as virtualization. For clients that expect to reduce costs by delaying capital expenditure or offloading non-core IT processes, cloud computing provides services and rapid deployment while providing this approach. Cloud computing will become a more widely used technology, like virtualization, automation and provisioning, and improved technology. Cloud computing is both a business delivery model and an infrastructure management methodology. The business delivery model provides a standard service product, such as easy access and quick delivery of business Analytics. The steps to produce hardware, install middleware and software, and configure the network have been greatly simplified. The infrastructure management methodology builds on virtualized resources and provides better economic benefits and increased scalability. And this method makes it possible to analyze high capacity and low cost. But not all clouds are created equally. As shown in Figure 2, important attributes are constantly changing on the cloud array, such as location, ownership, access rights, target users, and workloads (application types).

Figure 2. Changing attributes on the cloud array (see larger image)

Private Cloud is dedicated to the company and is preconfigured or hosted by a trusted third party. Functionality is owned by IT and accessed through the internal network. Functions (Hardware and software) that are used in a number of departments and business areas are dedicated to individual businesses. Many companies that are interested in cloud computing are ready for a private cloud. But over the next three years, public clouds and community clouds are expected to grow dramatically. To derive maximum benefit from cloud computing, you must be willing to virtualize the environment, standardize and automate hardware and software, and share the pool infrastructure. Interim measures can be taken to reduce computational costs, but each step requires you to be willing to exchange control of the infrastructure to save costs. Creating a roadmap for cloud computing must be one of the IT optimization strategies:

1. The process starts with a consolidation that lowers infrastructure complexity, lowers employee demand, better manages fewer things, and lowers operating costs. 2. Use virtualization strategies to eliminate physical resource boundaries, improve hardware utilization and cost, and simplify deployment. 3. Standardization and automation are used to unify organizations on a standard set of services that shorten the deployment cycle, support scalability and flex delivery, and enhance the ability to get closer to the real version across different data and different business intelligence (BI) silos.

IT Pros must balance revenue, risk, and control when considering which cloud types to deploy and which workloads to put on the cloud. In today's data centers, IT has control (in a central location, administrators have direct physical access, the audit process is straightforward and includes an internal security team). There will be more problems in the future public cloud, including where the data resides, who has control and ownership, who backs up, how the system is resilient, how the auditor observes, and how the security team works. However, the benefits will increase with the increase of reuse, and the economic benefits will increase with the expansion of resource sharing scale.