Self-Service Reports
The Self-Service Reports module enables business users to create and explore their own reports and visualizations without relying on IT or data engineering teams. It is designed to democratize analytics, giving end users the ability to ask questions, explore data, and generate insights in real-time.
By combining AI-powered insights, natural language queries, and voice commands, the module significantly accelerates the process of analysis and reduces time-to-decision. Users can move from raw data to actionable insights with just a few clicks or conversational prompts.
Key benefits include:
Independence for business users – Build and modify reports without technical expertise.
AI-driven discovery – Surface key drivers, anomalies, and hidden patterns automatically.
Conversational analytics – Query data in plain text or voice, and instantly generate charts.
Cross-platform access – Work seamlessly across web browsers and mobile applications.
Faster decisions – Reduce reliance on centralized teams by empowering domain experts with direct access to insights.
Typical users:
Business stakeholders who require quick, ad hoc analytics for day-to-day decisions.
Department managers who want on-demand visibility into KPIs without waiting for IT-developed dashboards.
Field and mobile users who need lightweight, conversational access to insights via mobile apps.
Core Functionality
Self-Service Analytics – Build custom reports independently.
AI-Powered Insights – Automated discovery of key drivers and anomalies.
Natural Language Processing – Query using text or voice.
Cross-Platform Access – Access via web browsers and mobile apps.
Key Features
Report Creation
Unified multi-tab reporting interface.
Drag-and-drop chart creation with measures/dimensions.
Search-enabled element selection.
Real-time preview during report building.
Data Preparation
100+ built-in data transformation functions.
Cleaning and preparation tools.
Support for multiple input types:
Database queries
Data sandbox integration
CSV/Excel uploads
AI and Machine Learning
Automated insights using unsupervised ML.
In-browser ML for anomaly detection and segmentation.
Conversational queries for instant chart generation.
Voice commands (mobile app only).
Analysis and Exploration
Global filtering across datasets.
Multi-level drill-down and drill-through.
Pattern and outlier detection.
Interactive filtering and contextual analysis.
Visualization and Export
Customizable themes.
Multiple export formats.
Responsive rendering on all devices.
Professional report formatting.
Technical Specifications
System Requirements
HTML5-compatible web browser.
iOS and Android apps available.
Network connectivity is required for real-time features.
Data Processing
Client-side ML execution.
Scalable to millions of rows.
Real-time query execution.
Voice recognition via mobile integration.
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