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A dataset is a tabular view of your data used for analytics in Warehouse-Native Analytics. It represents business entities or activities such as users, sessions, tickets, accounts, or events. Datasets are logical views mapped to tables or views in your data warehouse.
What is a Decision dataset?
Decision events (also known as impressions) are special events fired when Optimizely Experimentation "decides" that a visitor is bucketed into a certain experiment and variation pair. Learn more.
If you are trying to figure out how to get decisions from Optimizely into your data warehouse, visit this article.
Create a decision dataset to integrate your Experimentation data - this will help you centralize and analyze your experiment results along with additional information in your data warehouse.
- On the left navigation panel, click Data > Datasets.
- Click + New Dataset and select Source Dataset.
- On the Pick a source page, select your data from the connection you configured previously in the Create a connection section and click Save.
- On the Semantics tab, select Decision Stream from the drop-down list.
- Complete the Decision configuration by selecting the User ID, Experiment ID, Variation ID, and Timestamp.
See Creating New Datasets in the Netspring documentation for more information.
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