Dashboarding & Reporting

Dashboards and SQL Report Generators as core insight capabilities.

Overview

Dashboards and SQL Report Generators are essential components of the platform, providing real-time insights while feeding structured data into the AI Agent for intelligent routing. The goal is twofold: 1. Enable users to explore insights interactively, leveraging ML techniques where applicable. 2. Provide the AI Agent with structured, query-ready data to enhance context-aware responses. The reporting framework ensures that users can access self-service dashboards while allowing the AI Agent to intelligently route users to relevant insights.

Key Goals:

Status: Completed

Complexity: High

Components

Interactive Dashboards

Provides real-time visualizations of structured data, enabling users to explore insights dynamically.

SOARL Summary

    Situation:

    • Users needed flexible dashboards to drill into key insights without manually running SQL queries.

    • The platform needed multi-tenant support, ensuring each user sees only their relevant data.

    Obstacle:

    • Predefined dashboards** can quickly become rigid and inflexible.

    • Needed a way to balance configurability with ease of use.

    Action:

    • Developed a metadata-driven dashboarding system.

    • Enabled custom widget configurations, ensuring dynamic visualizations.

    • Integrated role-based access, ensuring data isolation per tenant.

    Result:

    • Fully interactive dashboards** that allow users to customize insights on demand.

    • AI Agent can intelligently route users to relevant dashboards based on queries.

    Learning:

    • Self-service analytics require structured metadata—hardcoded dashboards are **not scalable.

    • AI-driven insights are more effective when backed by structured dashboard components**.

SQL Report Generator

Automates the generation of SQL-based reports, ensuring consistent insights across users.

SOARL Summary

    Situation:

    • Users needed customized reports without writing SQL manually.

    • AI Agent needed structured SQL query generation for seamless reporting.

    Obstacle:

    • Hand-coded reports** quickly become unmanageable.

    • Needed to balance flexibility vs. complexity.

    Action:

    • Built a SQL report generation engine, allowing users to define query parameters dynamically.

    • Integrated reports with AI Agent routing, ensuring users are directed to relevant prebuilt insights.

    Result:

    • Faster, more efficient reporting** with minimal manual effort.

    • AI Agent can generate SQL-based reports dynamically.

    Learning:

    • SQL generation must be structured but flexible—prebuilt reports save time, but users still need **customization.

    • AI-driven insights require structured SQL foundations** for accurate, query-driven responses.

Key Learnings

Demos

Final Thoughts

Dashboards and reports aren’t just about visualizing data—they form the foundation for intelligent, AI-driven insights. The combination of metadata-driven dashboards, automated SQL reports, and AI-assisted routing ensures that users always get the most relevant insights. 🚀

Tags

Data Visualization SQL Report Generation AI-Driven Insights

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