Warehouse-Native Experimentation Analytics enhances your experimentation results by integrating Optimizely Experimentation data with additional insights from your data warehouse. This integration ensures your data warehouse remains the single source of truth, keeping your data secure and centralized. With Analytics’s warehouse-native architecture, you can seamlessly use existing data structures, letting you efficiently and effectively model your data to support your analytics needs.
Learn more about Experiments in Optimizely.
Access Experiment Scorecard
On the navigation panel in Analytics, click + and select the Experiment Scorecard template.
Configure Warehouse-Native Experimentation Analytics
Complete the following steps when creating an Experiment Scorecard:
Set up Analytics and Optimizely Web/FX
- Add your Optimizely account ID in the Warehouse-Native Analytics app settings. To add your account ID, send an email to support@netspring.io.
- Have an experiment in Optimizely Feature Experimentation or Optimizely Web Experimentation.
Create a connection to your data warehouse
A connection serves as a pipeline between Warehouse-Native Analytics and your data warehouse. This lets Analytics issue queries directly to your data warehouse. The first step to creating your Warehouse-Native Experimentation Analytics is to connect to your data warehouse. There are four data warehouse options:
Send Optimizely data to your warehouse
Using real-time or batch processing methods, you can send decision and conversion events to your data warehouse.
Real-time processing
- BigQuery Direct Share – A seamless integration for BigQuery.
- Decision Notification Listeners – SDK callback functionality for flexible data exports to any warehouse.
- Get Variation or Decide with Impression Disabled – Export targeted data to any warehouse.
Batch processing
- Experimentation Events Export – Daily export through S3 buckets to any warehouse.
- Snowflake Export – Direct export for Snowflake users.
- Fivetran Export – Automated data transfer to any warehouse.
Storing decision data in your warehouse ensures a single source of truth, enabling comprehensive and reliable A/B test analysis.
Create a decision dataset
Decision events are triggered when Optimizely Experimentation assigns a visitor to a specific experiment and variation.
To centralize and analyze your experiment results, you can create a decision dataset and integrate your Experimentation data into your data warehouse. This gives you deeper insights and a more comprehensive view of your experiments.
Create metrics
Metrics in Warehouse-Native Experimentation Analytics are dataset-independent, computed properties for analysis. The following metric types are available:
Configure Experiment Scorecard
When you configure datasets and metrics, configure a scorecard to track key experiment metrics and insights.
Learn more about Experiment Scorecards.
Authorization and access control
After configuring your scorecard, manage user permissions to ensure secure data access.
Analyze Experiments
Explore experiment results, compare variations, and derive actionable insights.
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