This microsoft project plan encompasses project planning and activation, project control, project activation, business case development, business question assessment, architecture review and design, tool selection, iteration project planning, detail design, implementation, transition to production and ending the project--everything you need to build a data warehouse!. Data warehouse combines the best of business practices and information systems technology, it requires the cooperation of both the business and it. as with any information systems development project, planning a data warehouse project follows a similar systems development lifecycle (sdlc) process.. To be used to display a high-level summary of the project. it is created and maintained by the data warehouse core project team and is typically used in presentations and other project communications. document name: data warehouse high-level project plan . short-term project plan.
The implementation of an enterprise data warehouse, in this case in a higher education environment, looks to solve the problem of integrating multiple systems into one common data source.. If the project goes ahead, the project plan and business case should be reviewed at each stage. it is widely regarded as good practise to develop a data warehouse in small, manageable phases (see pitfalls). thus the analysis, design, construction and deployment steps will be repeated in cycles.. 4 knowledge base confidentials data warehouse methodology template guideline business discovery identify business issues and metrics gather industry benchmarks prepare for business discovery meet with client champion and plan meetings, identify interviewees schedule kickoff and dates for interviews send notification of business discovery to those involved.
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