The stages of a Data warehouse implementation are - Planning, Data Gathering, Implementation, Data Analysis, and Action. In addition to the ETL - Extraction, transformation, and loading phase, which is well known, other components of a Data warehouse include establishing a Central database, leveraging ETL tools, creating Metadata, and access tools.
These components are especially important in the Planning and the Data Gathering phase. Once the technology, tools, and the type of data warehouse are selected and the implementation is done (ETL), the users can streamline their Data Analysis and Business action phase.