Conversational Analytics: Interact with data using natural language, either via text or speech.
Multi-LLM Strategy: Leverage multiple Large Language Models (LLMs) for customized and accurate data processing.
No-Code Environment: Create dashboards, reports, and analytics without any coding.
Data Security: Ensures data privacy by keeping your data within the organization’s infrastructure.
Embedded Analytics: Seamlessly integrate with existing products, offering a ChatGPT-like experience.
Self-Service Analytics: Empower all users to generate insights without needing deep technical expertise.
Real-Time Business Reporting: Generate on-demand reports and dashboards.
Data Discovery: Conduct detailed data exploration through conversational queries.
Predictive Analytics: Forecast trends and anomalies based on existing data.
Embedded Analytics: Enhance product offerings with integrated, AI-driven analytics.
Business Analysts: Simplifies data analysis and reporting.
Data Teams: Reduces backlog and support requests.
C-Suite Executives: Enables quick, data-driven decision-making.
Product Managers: Enhances product capabilities with embedded analytics.
Check the website https://www.pyramidanalytics.com/generative-bi/ to see plans.
