Augmented Analytics
Augmented analytics is a class of analytics powered by artificial intelligence (AI) and machine learning (ML) that expands a human’s ability to interact with data at a contextual level. We use AI to make analytics accessible so that more people can confidently explore and interact with data to drive meaningful decisions. From automated modeling to guided natural language queries, our augmented analytics capabilities are powerful and trusted to help organizations leverage their growing amount of data and empower a wider business audience to discover insights.
- Ask data
- Explain data
- Einstein discovery for reports
- Data stories
- Forecasting
- Predictive modeling functions
What are the benefits of augmented analytics?
- Agility: Increasing speed to insight
- Accuracy: Providing a more complete picture
- Efficiency: Automating operational tasks
- Confidence: Powerful analysis in context
Augmented Analytics Features
- Automatic data identification
- Statistical techniques
- Smart data prep
- Recommendations
- Natural language interactions
Augmented Analytics Explained | Tableau
Augmented Analytics with Tableau
Augmented Analytics with Tableau - Ask Data & Explain Data
Introducing Databricks Assistant, a context-aware AI assistant | Databricks Blog