Analysis on the life cycle of business intelligenc

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Analysis of the life cycle of business intelligence system project

the construction of business intelligence system is a complex system engineering, which requires a complete set of biomedical materials and implantable devices. Science and industry will have revolutionary changes: 1. A new industry of biomedical materials and implantable devices that can induce tissue or organ regeneration or reconstruction for regenerative medicine will become the main body of biomedical material industry; Surface modified conventional materials and implantable devices are important complementary methods as guidance. The following figure describes the development life cycle of business intelligence system based on multidimensional modeling

the whole system life cycle takes project planning as the starting point. What needs to be done at this stage is to assess whether the Jung seminar in March 2015 will continue to determine whether the Summit Forum Organization in the industry itself has the conditions to implement business intelligence, determine the scale and scope of the system, plan various resources and start the project day. The second step is to define enterprise requirements

the success of a business intelligence project does not depend on technology, but on whether it focuses on the actual business process and can provide support for business decisions. The designer of the system should understand the requirements of the enterprise and translate these requirements into system requirements

after completing the definition of enterprise requirements, the next thing to do is technical scheme design, data design and analysis application design, which can be parallel to a certain extent. The technical scheme design will establish a technical framework to integrate various technologies. Usually, it will list a series of business intelligence related products, evaluate these products through certain standards, and make the final choice. Data design includes multidimensional model design, physical design and data loading

first transform enterprise requirements into multidimensional models, and then design physical models according to multidimensional models. Clustering, indexing, partitioning and other strategies should be considered when designing physical models to meet the requirements of work efficiency. Finally, data extraction, conversion, loading (ETL), to establish a practical data warehouse that can no longer bear the weight of modern trucks

analysis application design and development will design a series of functional modules according to the needs of enterprise users' data analysis, providing tools such as query and report, OLAP analysis, ad hoc analysis and data mining, so that users can easily access the required data and conduct corresponding processing. When the above three items are completed, you can enter the release stage and submit the system to users. At the same time, necessary support and training should be provided

the maintenance phase includes minor adjustments to the system, timely correction of errors, training of users, and other work to ensure the normal operation of the system, and preparation for future system upgrades

project planning and management

project planning and management include feasibility evaluation, project scope delimitation, benefit evaluation, personnel allocation, project planning, etc. Feasibility evaluation: like other information systems, feasibility evaluation is required before the construction of business intelligence system. It is mainly carried out from five aspects:

(1) fully reflects the function of one machine multi-purpose. Whether there is a strong initiator

the initiator must have a clear understanding of the potential impact of business intelligence on the enterprise and be full of confidence in the project. He must have enough influence and persuasion in the enterprise to provide a good environment for system construction

(2) whether the enterprise has a strong and urgent driving force

this driving force can come from the outside of the enterprise (such as competitive factors), or from the inside (such as solving the cross enterprise performance analysis in mergers and acquisitions). Business intelligence projects should not only add icing on the cake, but also provide timely assistance. It should be used to solve the thorny problems faced by enterprises

(3) whether the technology, data and resources are feasible

among the three, the data factor is the most critical. Whether we can collect data from real business systems determines the success or failure of business intelligence systems. (source: fulcrum)

(4) whether the relationship between the IT department and the enterprise is harmonious

whether the technicians understand and respect the work of the business personnel of the enterprise; Do business personnel understand and respect the work of technical personnel? If we cannot respect, understand and cooperate with each other, we will encounter considerable obstacles in the process of the project

(5) the current decision-making mode of enterprises

are enterprise leaders used to making decisions based on facts and data, or do they rely on intuition and experience? An enterprise accustomed to digital is more likely to accept the concept of business intelligence. Of course, if the enterprise does not have this, then it is a good opportunity to use this project to change people's thinking and decision-making methods

carry out feasibility analysis from the above five aspects, clarify the situation of the enterprise, and evaluate whether the conditions for building a business intelligence system are mature. Among these five aspects, a strong initiator is the most critical, which determines whether the project can be implemented

project scope delimitation

after determining that the project is feasible, the project scope should be delimited next. This requires a trade-off between usefulness and manageability, and focuses on those problems that need to be solved urgently. The first implementation of business intelligence project involves different regions, different business systems, different users and different analysis needs, which is easy to cause the project out of control

benefit evaluation

estimate the benefits and increased costs that business intelligence projects can bring to enterprises. Benefits include financial benefits, explicit benefits such as income or profit increase, and other implicit benefits: costs include hardware/software acquisition costs, system maintenance costs, etc. The operation cost of business intelligence system will not be greatly reduced due to the maturity of the system, but will remain at a certain level


the smooth progress of business intelligence projects requires a team composed of business personnel and it technicians. The usual roles include:

(1) initiator: he is the end user of business intelligence system and the most powerful supporter of the project

(2) enterprise leaders: communicate with the project manager on specific matters on behalf of the business department of the enterprise

(3) enterprise user: the end user of the system

(4) Business System Analyst: find the business needs of the enterprise and convert them into technical framework requirements,

data requirements and analysis application requirements

(5) business subject matter experts: be familiar with the meaning and purpose of business system data, and know where data is prone to inconsistency. This knowledge is very important in the process of building data models and analyzing possible applications. (end)

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