Setting business expectations

Everyone has seen impressive Power BI demonstrations and many business analysts have effectively used Power BI Desktop independently. These experiences may create an impression that integration, rich analytics, and collaboration can be delivered across many distinct systems and stakeholders very quickly or easily.

It's important to reign in any unrealistic expectations and confirm feasibility. For example, Power BI Desktop is not an enterprise BI tool like SSIS or SSAS in terms of scalability, version control, features, and configurations. Power BI datasets cannot be incrementally refreshed like partitions in SSAS, and the current 1 GB file limit (after compression) places a hard limit on the amount of data a single model can store. Additionally, if multiple data sources are needed within the model, then DirectQuery models are not an option. Finally, it's critical to distinguish the data model as a platform supporting robust analysis of business processes, not an individual report or dashboard itself.

Identify the top pain points and unanswered business questions in the current state. Contrast this input with an assessment of feasibility and complexity (for example, data quality and analytical needs) and target realistic and sustainable deliverables.