 | BI | |
| General | ||
| Goal | Actionable Recommendations | Dashboards |
| Pricing | Consumption Based | Per Seat |
| Deployment | Cloud, VPC and On-Premise | Cloud, VPC and On-Premise |
| Quick Connectivity to Cloud Data Warehouse |  | |
| Business Impact | ||
| Link specific decision with predicted business outcome | |  |
| Evaluate business impact in real-time with various scenarios | | |
| Automatic assessment of unintended consequences | | |
| Time-to-decision | 30 minutes or less | 4 to 8+ hours |
| Actionable recommendation created every time | | |
| Reduce human bias | | |
| Platform | ||
| Sourcing and loading distinct data sources | | |
| Data is organized in-memory | | Partial |
| Supports native connectors | | |
| Leverage existing AI and ML models | | |
| Use existing data fabric and data infrastructure | | |
| Analyze billions of rows of data in sub-seconds | | |
| Output | ||
| Historial insight | | |
| Results deliverd via dashboards | | | Interactive reporting | | |
| Identify trends | | |
| AI embedded in the tool | | |
| Automatically surface insights | | |
| AI-driven opportunity identification | | |
| Actionable recommendations | | |
| Contextual Intelligence | ||
| Platform learns from every user interaction | | |
| AI-driven correlation and synthesizing of disparate insights | | |
| Auto-generate hypotheses and thesis from insights | | |
| Supports automatic inference for related subjects, questions and opportunities | | |
| Retains all questions asked and answers provided | | |
| Analysis & Exploration | ||
| Iterative analysis | | |
| Natural language (NLP) interaction | | Depends on Tool |
| Ad-hoc changes to filters | | Simple filters only |
| Analyze ‘what-if’ scenarios in real-time | | |
| Build data stories to support a narrative | | |
| “No Code” required for output | | Depends on Tool |
| Evidence and validation of recommendations | | |
| Scenario and recommendation archive and audit | | |
Decisions, Not Dashboards