Introduction.Business Intelligence refers to the software, hardware, and practices applied to data collection, processing, and analysis in order to help managers make informed decisions. A Data Warehouse is a composite storage area for data from several areas of the company. Say no to plagiarism. Get a tailor-made essay on “Why violent video games should not be banned”?Get the original essayData warehousing is therefore an essential module of business intelligence because it allows information to be stored in a common place, allowing thus quick access and is often analyzed and used to make informed decisions by managers and other cooperating end users. Best practices to follow when designing a data warehouse for using business intelligence. Sponsorship. Make sure you have a high-profile business sponsor not only during construction, but also one that remains present even after the data warehouse is built and is presented ready to go. The commercial sponsor must communicate with other commercial partners. Data owners and managers are required to establish full ownership of the data contained therein. Room for growth. Data will be continually added. Therefore, when designing them, consideration should be given to leaving enough room for incremental addition of data. To add to this, also remember to retain the team of developers who helped you build for this purpose.Expertise.Depending on how you want to design the system you need, you need to select experts experienced in this field to advise you. you on the best design methods in addition to validating your resources and your technology choices. Minimized range. In the early stages of construction, be sure to narrow down the areas to be worked on to reduce initial construction investment and help gain experience in a smaller area for expansion later. Loading the data warehouse. Tools such as the Utility Extract/Transformation/Load (ETL) software tool, among other tools, can be used to verify, for example, that data quality is maintained. Another consideration is how often data is loaded into the data warehouse. Education and support. The necessary information describing the new system, including modeling techniques and tools, as well as its structure and method of access, must be available. information from the data warehouse. This should be used by cooperating users of the system who may not be familiar with its operation. Future modification. It is necessary to ensure that the data warehouse modification process is controlled and documented in detail. Steps for implementing a data warehouse. carry out a feasibility study. The costs and benefits of implementing a data warehouse are defined as well as the elements that contribute to successful system implementation. The advantages and disadvantages of implementing the required system are considered. The results of the feasibility study are presented to company management to decide on sponsors. The tasks of each member of the development team involved in the implementation are also defined. Analysis of the sector of activity. This involves becoming familiar with the organization the system is being built for, its operations, and its business requirements. The scope of the warehouse.