The importance of structuring data in financial analysis
In this section, we will look at the importance of structuring data when performing financial analysis.
Power BI offers several techniques for structuring financial data, including data modeling, data shaping, and data transformation:
- Data modeling: As we stated previously, data modeling is the process of creating a data model or schema that defines the relationships between different data points. In Power BI, data modeling involves creating a model using the Power Pivot data modeling engine. This allows finance professionals to define relationships between tables, create calculated columns and measures, and create hierarchies. A well-designed data model can make it easier to analyze financial data and gain insights. Data modeling forms a critical aspect of financial analysis. It enables finance professionals to transform raw data into useful insights that can inform financial decisions.
- Data shaping: Data shaping...
