To convert a Dataset into a Model in SAP Analytics Cloud (SAC), follow the steps below. Converting a dataset to a model allows you to leverage more advanced features like calculations, planning, and better management of master data.
Steps to Convert a Dataset to a Model in SAC:
1. Open the Dataset:
- Log in to SAP Analytics Cloud.
- Navigate to the Datasets section and locate the dataset you want to convert.
2. Export the Dataset:
- Since SAC doesn't provide a direct "convert to model" button, you first need to export the dataset:
- Open the dataset and click on the More Actions (three dots) icon.
- Choose Export Data and select a suitable format (e.g., CSV or Excel) for export.
3. Create a New Model:
- After exporting the dataset, go to the Modeler in SAC.
- Select Create New Model and choose From a File to import the exported dataset.
- Follow the prompts to upload the file (CSV or Excel) containing the data from your exported dataset.
4. Configure the Model:
- Once the file is uploaded, SAC will prompt you to configure the model:
- Map Columns: Ensure that the columns in your dataset are mapped to the appropriate data types (e.g., dimensions, measures, and attributes).
- Create Dimensions: SAC will identify potential dimensions (e.g., customer ID, product category) and measures (e.g., revenue, sales). You can modify or confirm these selections based on your needs.
- Enrich Master Data: If you want to link any master data to the model, you can create or import master data dimensions at this stage.
5. Finalize and Save the Model:
- After mapping the columns and configuring the model, click on Create Model.
- Review the model structure to ensure everything is set up correctly.
- Save the model with a meaningful name to make it easier to find later.
6. Validate the Model:
- Once the model is created, validate it by opening it in the Modeler and checking the data.
- Create sample stories or visualizations to confirm the model works as expected.
Benefits of Converting a Dataset to a Model:
- Advanced Features: A model supports more advanced analytics features, including calculations, data planning, and currency conversion.
- Master Data Management: Models allow you to better manage dimensions and master data, keeping your data more organized and enriched.
- Story Creation: You can easily create stories and dashboards using the model for enhanced reporting and analytics.
Key Terms:
Dataset, Model, SAP Analytics Cloud (SAC), Modeler, Export Data, Data Mapping, Master Data, Dimensions, Measures, CSV File, Story Creation.
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