DecisionIQ : Real-Time AI for Decision Intelligence Platform

Description

The DecisionIQ dashboard provides an interactive NLP-driven query interface for real-time data exploration. User queries are parsed and mapped to structured data pipelines that return contextual facts, related metrics, and comparative insights. The example highlights a category-wise customer reorder distribution, with anomaly detection flags (e.g., 27% higher reorders for Books vs Electronics). The system integrates modules for:
• Fact extraction and trend analysis
• Anomaly detection and alerting system
• Insight summarization and reasoning engine
Exportable outputs and alert configuration tools

Description

This interface provides a searchable log of all past user queries, enabling reproducibility and auditability in analytical workflows. Each query is timestamped and linked to detailed analytical outputs, allowing users to revisit previous insights without re-execution.

Description

The Saved Queries module allows users to store, revisit, and reprocess previously executed analytical queries with full context. Each saved item retains the natural language query, relevant data visualizations, insights, and anomaly detection outcomes.

Description

This screen allows users to upload and attach their datasets to a project for analysis. Users can drag and drop files or click the upload area to browse and select files from their device.
• File Upload Progress — Displays the current status, progress, file type, and upload time for files being uploaded.
• Uploaded Files List — Shows all files already attached to the project, along with their file type, upload date, and an option to remove them.
• Finalize & Continue — Once files are uploaded, the user can proceed to the dashboard where insights and visualizations are generated based on the uploaded data.
This feature is the first step in the data analysis workflow, enabling the platform to process and extract actionable insights from user-provided data.

Description

This Report Automation Dashboard in DecisionIQ combines AI assistance with real-time data visualization to create tailored sales performance reports. Users can specify report types and metrics through the AI Assist panel, view key KPIs like total sales, profit, growth, and customer count, and explore insights via interactive charts for monthly sales, sales by reason, and revenue trends—all with options to save or export results instantly.

Description

The DecisionIQ dashboard provides an interactive NLP-driven query interface for real-time data exploration. User queries are parsed and mapped to structured data pipelines that return contextual facts, related metrics, and comparative insights. The example highlights a category-wise customer reorder distribution, with anomaly detection flags (e.g., 27% higher reorders for Books vs Electronics). The system integrates modules for:
• Fact extraction and trend analysis
• Anomaly detection and alerting system
• Insight summarization and reasoning engine
Exportable outputs and alert configuration tools

Description

This interface provides a searchable log of all past user queries, enabling reproducibility and auditability in analytical workflows. Each query is timestamped and linked to detailed analytical outputs, allowing users to revisit previous insights without re-execution.

Description

The Saved Queries module allows users to store, revisit, and reprocess previously executed analytical queries with full context. Each saved item retains the natural language query, relevant data visualizations, insights, and anomaly detection outcomes.

Description

This screen allows users to upload and attach their datasets to a project for analysis. Users can drag and drop files or click the upload area to browse and select files from their device.
• File Upload Progress — Displays the current status, progress, file type, and upload time for files being uploaded.
• Uploaded Files List — Shows all files already attached to the project, along with their file type, upload date, and an option to remove them.
• Finalize & Continue — Once files are uploaded, the user can proceed to the dashboard where insights and visualizations are generated based on the uploaded data.
This feature is the first step in the data analysis workflow, enabling the platform to process and extract actionable insights from user-provided data.

Description

This Report Automation Dashboard in DecisionIQ combines AI assistance with real-time data visualization to create tailored sales performance reports. Users can specify report types and metrics through the AI Assist panel, view key KPIs like total sales, profit, growth, and customer count, and explore insights via interactive charts for monthly sales, sales by reason, and revenue trends—all with options to save or export results instantly.

Description

The DecisionIQ dashboard provides an interactive NLP-driven query interface for real-time data exploration. User queries are parsed and mapped to structured data pipelines that return contextual facts, related metrics, and comparative insights. The example highlights a category-wise customer reorder distribution, with anomaly detection flags (e.g., 27% higher reorders for Books vs Electronics). The system integrates modules for:
• Fact extraction and trend analysis
• Anomaly detection and alerting system
• Insight summarization and reasoning engine
Exportable outputs and alert configuration tools

Description

This interface provides a searchable log of all past user queries, enabling reproducibility and auditability in analytical workflows. Each query is timestamped and linked to detailed analytical outputs, allowing users to revisit previous insights without re-execution.

Description

The Saved Queries module allows users to store, revisit, and reprocess previously executed analytical queries with full context. Each saved item retains the natural language query, relevant data visualizations, insights, and anomaly detection outcomes.

Description

This screen allows users to upload and attach their datasets to a project for analysis. Users can drag and drop files or click the upload area to browse and select files from their device.
• File Upload Progress — Displays the current status, progress, file type, and upload time for files being uploaded.
• Uploaded Files List — Shows all files already attached to the project, along with their file type, upload date, and an option to remove them.
• Finalize & Continue — Once files are uploaded, the user can proceed to the dashboard where insights and visualizations are generated based on the uploaded data.
This feature is the first step in the data analysis workflow, enabling the platform to process and extract actionable insights from user-provided data.

Description

This Report Automation Dashboard in DecisionIQ combines AI assistance with real-time data visualization to create tailored sales performance reports. Users can specify report types and metrics through the AI Assist panel, view key KPIs like total sales, profit, growth, and customer count, and explore insights via interactive charts for monthly sales, sales by reason, and revenue trends—all with options to save or export results instantly.