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Good Business Intelligence (BI), allows your organization to query data obtained from trusted sources and use the answers to gain a competitive edge in your industry.
The first step to achieving effective BI is a well-designed warehouse.
Failure at this stage of the process can lead to poor performance of the ETL process and the entire data warehouse system.
On-Line Analytical Processing (OLAP) is the answer engine that provides the infrastructure for ad-hoc user query and multi-dimensional analysis.
Developing a disaster recovery plan while gathering requirements, ensures that the organization is prepared to respond quickly to direct and indirect threats to the data warehouse.
Once the business requirements are set, the next step is to determine the physical environment for the data warehouse.
The goal of the requirements gathering phase is to determine the criteria for a successful implementation of the data warehouse.
An organization's long-term business strategy should be just as important as the current business and technical requirements.
Controlling the flow and visibility of data is another aspect of report development that must be addressed.The tool should allow your development team to modify the backend structure as enterprise level reporting requirements change.