Importing Data from Files
You can import data from files, such as text files or Excel .xlsx files, to existing models.
Context
The data is imported and analyzed, and then mapped to the dimensions of the target model. Note that the data to be imported must fit the structure of the existing target model.
When you import data into an existing model, you can align the new data with existing version categories or create new version categories during the import. For example, if the existing model contains actual values, you can now import planning data by selecting the Planning category and entering a label for the new version data. Then, in stories generated from the model, both the actual and the new planning columns will be visible.
The workflow to import data from a file into an existing model is:
- Open the model that will be updated.
- Select a source file.
- Start the import and initial mapping process.
- Finish mapping the imported data to existing dimensions in the model.
- Cleanse your data and fix any mapping or data quality problems.
Data files can be in your local file system or in your network. The source data can be an Excel spreadsheet (.xlsx) or a delimited text file (.csv or .txt). If you import data from Microsoft Excel, and if the data is saved in separate sheets in the Excel workbook, either you can choose which sheet to import (if from a local file system) or the first sheet is automatically imported (from a network file).
The source data must include columns that can be matched to the existing dimensions in the selected model. It must also include transactional data (measures) in numeric format (for example, 1,587,370.50 or 1.587.370,50 ) but not scientific notation.