What Is a Business Intelligence Model?

Business intelligence (Business Intelligence, referred to as BI), also known as business intelligence or business intelligence, refers to the use of modern data warehouse technology, online analysis and processing technology, data mining and data display technology for data analysis to achieve business value.

Business Intelligence is also known as Business Intelligence.

Defined as a collection of the following software tools: End-user query and reporting tools. Specifically designed to support novice users

Data quality and business intelligence

Data Quality Role

For enhancing the accuracy and value of data assets, integrating data quality rules with activities (probing, cleaning, and monitoring) and MDM processes is critical. Before starting any

Many vendors are active in business intelligence (hereafter referred to as

To achieve the goal of business information intelligence insight, enterprises must use appropriate technology architecture platforms to support business data analysis systems. The platform must not only provide analytics and collaboration capabilities to a variety of users, regardless of their location, but also make full use of existing infrastructure while maintaining low costs. It must be scalable and high-performance to meet the development needs of any organization.

Proper architecture can pave the way for system success and ultimately lead to organizational success. An open business intelligence architecture should meet the needs of both IT and business users.

For IT users, business intelligence software needs to meet the following conditions to deliver higher value to users, including: it can be easily integrated with the organization's infrastructure; it supports current technologies and standards; and it can be easily implemented according to evolving needs Adjust; integrate all data in the organization; continuously expand as user needs evolve; perform reliably; manage without increasing budgets and human resources

For business users, business intelligence software must match the user's many roles, skill sets, and needs; provide users with information in a variety of different formats, including regular reports, special queries, scorecards, dashboards, etc .; and easy to use to make Business users are willing to adopt and trust the information they provide.

Enterprise-level business intelligence architectures share several common characteristics and values. These requirements are the foundation of business intelligence systems that will be widely deployed within the organization. All these qualities will be reflected through the underlying architecture. The IBM Cognos business intelligence platform is designed and built on a service-oriented open architecture, which is different from business intelligence solutions that simply package legacy "client-server" components in multiple architectures from web services. It can deliver all business intelligence functions at three different levels: the presentation layer, which can handle all user interactions in the web environment; the application layer, which contains dedicated services for performing all BI processing; the data layer, which can be used to access each Data sources.

Business intelligence systems can assist in establishing an information center, such as generating various work reports and analysis reports. Used for the following analysis:

Implementing business intelligence systems is a complex systems project. The entire project involves enterprise management, operation management,

Business intelligence (BI), as a concept, describes the process that is closely integrated with the business, and displays related features and data processing as needed.

1. Random query dynamic report

2. Master indicator management

3. Online analysis and processing at any time

4.Visualized Enterprise Instrumentation Edition

5. Assist in predictive planning ^[3]

Business intelligence helps the company's management to make fast and accurate decisions, quickly finds problems in the enterprise, and prompts managers to solve them. However, business intelligence software systems cannot make decisions on behalf of managers and cannot automatically deal with problems encountered during the operation of the enterprise Problem. Therefore, business intelligence systems cannot bring direct economic benefits to enterprises, but it must be seen that business intelligence brings a scientifically armed

Manufacturing is an important market for business intelligence

According to a report by Manufacturing Insights (affiliated company of IDC), the Asia-Pacific (excluding Japan) manufacturing IT market size was US $ 13.7 billion in 2004, and the market is expected to increase by 11.4%

Compared with DSS and EIS systems, business intelligence has better prospects for development. In recent years, the business intelligence market has continued to grow. IDC predicts that by 2005, the BI market will reach $ 11.8 billion, with an average annual growth rate of 27% (Information Access Tools Market Forecast and Analysis: 2001-2005, IDC # 24779, June 2001). With the introduction of enterprise CRM, ERP, SCM and other application systems, enterprises do not stay in the transaction process and focus on the effective use of enterprise data to support accurate and faster decision-making. The demand for business The need for intelligence will be huge.

The development trend of business intelligence can be summarized as follows:

Functionally configurable, flexible and changeable

The scope of a BI system extends from serving specific users in a department to serving all users across the enterprise. At the same time, due to differences in corporate users' powers and requirements, BI systems provide a wide range of targeted functions. From simple

After several years of accumulation, most of the large and medium-sized enterprises and institutions have established relatively complete basic information systems such as CRM, ERP, and OA. The unified characteristics of these systems are: through the operation of business personnel or users, the database is finally added, modified, and deleted. The above systems can be collectively referred to as OLTP (Online Transaction Process), which means that after the system has been running for a period of time, it will certainly help enterprises and institutions to collect a large amount of historical data. However, the large amount of data that is dispersed and independent in the database is just a few heavenly books for business personnel. What business people need is information, abstract information that they can understand, understand, and benefit from. At this time, how to transform data into information so that business personnel (including managers) can fully grasp and use this information, and assist

At present, the major business intelligence software vendors in the domestic market are: Guoyun Data (Big Data Magic Mirror), IBM Cognos ^[4]

Beijing Deang

Is a professional business intelligence solution provider with companies in Beijing, Shanghai, Xiamen and Taipei across the Taiwan Strait. The company provides preliminary consulting for business intelligence projects, business intelligence system planning, tool evaluation and selection, and reporting. The overall implementation services of carding and planning for dashboards, design and implementation of data warehouses and bazaars, design, implementation and online of reporting and analysis systems. De Ang is also the first to implement mobile business intelligence solutions among energy, insurance, securities, retail, real estate and corporate customers. And can provide complete solutions for the following similar topics: Group decision support system or management decision cockpit, financial data center of financial department, manufacturing procurement BI, mobile decision support system for petroleum and petrochemical industry, operation management decision support system, retail Industry marketing and bonus automation systems.

The third point: self-service analysis service is still a priority BI tool and a special reporting tool ^[10]

In 2012 and 2013, self-service analysis will remain a trend. Over the past few years, the IT departments of large enterprises have been optimistic about upcoming business needs and will not support manual. Staff often ask for information to support business decisions more effectively and in an immediate and adaptive manner. In this case, BI vendors need to maintain balanced self-service capabilities to allow information workers to build and publish their own BI applications, while allowing IT departments to control the complete use of the platform.

Point 2: Enterprises will continue to use multiple BI tools instead of a single platform

The world's leading Forrester consulting company also mentioned another forecast for 2012. In recent years, the charts are still in the top ten, and each enterprise will not be committed to one or all BI tools. It will evolve towards a more flexible framework. The flexibility here is to use a lot of BI tools instead of using a fixed platform. More importantly, many companies realize that the entire and several existing BI tools are no longer a global solution, so this trend will continue until 2013.

The first point: the spread of ubiquitous mobile platforms is no longer an innovation.

Requirements and must meet any type of BI tool or platform, except for self-service and personalized BI. The speed of mobile clients will increase rapidly, and web business standards are preparing to use the HTML5 technology stack to dominate existing mobile localization application frameworks. Ipads, iphones, androids, and a variety of global consumerization will make all the platforms of the enterprise, making this standard a more complex task.

According to Forrester's research report, 24% at the enterprise level have already used mobile BI applications on pilot projects, and 37% are already considering z for future adoption. It is required that all BI tools need to support the available mobile platforms to remain competitive, because people will not give up the simple way that iPads work from the PC style, especially at the operation and execution level.