Data Warehouse Project Management Theory And Methods

Competition that companies face is becoming more and more serious under the knowledge economy. The traditional information system, for example OLTP, help to deal with company operation, but those IS only deal with company routine, and cannot help companies to make decision. The technology of Data Warehouse solves the problems. It provides circumstances that analyze the company data and give the integration information, so that companies can make decision and win in the competition.Many companies think that the technology of Data Warehouse can solve the problems that the companies have not decision information, so they begin to build data warehouse. In the project of data warehouse, the manager pay more attention to technologies, for example data management, data model and data quality, and pay little to project management. Many project managers think that if they arrange the best programmers, the projects will success. But it is not true.The project of data warehouse is full of dynamic, because the demands of the project are not confirm. New demands often come forth in the course of building project. And the people taking part in the project are short of exercise. So managing the project of data warehouse is a big challenge to project manager.Pointing to the problem in the course of managing project, the paper study the characteristic project of data warehouse, and provide a generic way to manage the data warehouse. The paper can divide to three parts. First, the paper studies the theories of project management and the technology of Data Warehouse, and analyzes the characteristic project of data warehouse. Second, the paper discusses the organization management, plan management and risk management of data warehouse project. The last, the author chooses a example to deeply analyze how to manage project by utilizing the above researching results, and drawsa corresponding conclusion.