After the source data has been profiled and evaluated against the requirements identified in the four-step dataset design process, the BI team can further analyze the implementation options for the dataset. In almost all Power BI projects, even with significant investments in enterprise data warehouse architecture and ETL tools and processes, some level of additional logic, integration, or transformation is needed to enhance the quality and value of the source data or to effectively support a business requirement. A priority of the dataset, planning stage is to determine how the identified data transformation issues will be addressed to support the dataset. Additionally, based on all available information and requirements, ...
Dataset planning
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