Allows users to input queries in natural language, making it easier to interact with the chatbot.
Accesses and integrates data from both the data lake (raw and unstructured data) and the data warehouse (cleaned and structured data).
Provides real-time analysis and reporting based on the latest data.
Generates visualizations and dashboards based on user queries, such as growth trends, performance metrics, and financial summaries.
Uses historical data to forecast future trends and outcomes.
Allows users to drill down into data, filter results, and explore various metrics interactively.
Provides responses based on the context of the query, delivering relevant insights even if queries are phrased differently.
Provides actionable insights and data-driven recommendations to support strategic decision-making.
Reduces the time and effort required to generate and interpret reports by offering instant, conversational access to analytics.
Makes complex data accessible to users with varying levels of analytical expertise through an intuitive chat interface.
Enables rapid analysis and response to changing business conditions or emerging trends.
Minimizes the need for manual data analysis and report generation, leading to potential cost savings.