Google BigQuery

Optimizely Experimentation and Google BigQuery combined offer a market leading solution to allow easy access to advanced analytics for customers with large datasets that allows customers to operate with agility, drive innovation and run experiments that deliver successful outcomes.

Key Features

Data warehousing

BigQuery can be used to store and manage large amounts of experimentation data, which can be used to gain insights and make data-driven decisions.

You can:

• Incorporate complex metrics and segments by querying our enriched events dataset
• Join event data with critical business data in other platforms,
• Use Optimizely’s Stats Engine to estimate experiment effects with first and third-party experiment data

Machine learning

BigQuery can be used to train machine learning models on experimentation data, which can be used to predict outcomes and optimize for specific goals.

You can:

• Use AI-powered predictive analytics to scale highly personalized multichannel campaigns without the attribution headaches or guesswork.
• Gain access to persistent profiles adapt to customer behavior in real-time unlocking flexible, personalized and data-driven marketing.

Data visualization

BigQuery can be used to analyze experimentation data to identify patterns, trends, and insights and integrate with data visualization tools.

This allows you to:

• Create meaningful, actionable and potentially automated reports on experimentation data enabling businesses to make informed decisions
• Combine and analyze marketing data from all of your applications in real-time.
• Gain access to accelerated insights which scale seamlessly