Reporting and Analyzing Data

Reporting and Analyzing Data

Intellicus offers a comprehensive reporting platform designed for users across roles—from IT and data administrators to business users—enabling access to data-driven insights based on their needs.

Report Objects, such as Query Objects and Analytical Objects, form the business meta-layer in Intellicus. This abstraction allows end users to design reports, dashboards, and visualizations without requiring knowledge of underlying data sources or query logic.

Key Capabilities

Canned Standard Reporting

Design highly formatted, pixel-perfect reports suitable for printing and operational use. Leverage advanced layout features and modern web controls, such as:

  • Dynamic data grids

  • Rich charting options

  • Multi-column formatting

Self-Serve Ad Hoc Reporting

Customize reports on the fly using an intuitive drag-and-drop interface. With minimal technical knowledge, users can:

  • Build reports tailored to business needs

  • Analyze data through grouping, filtering, and summarization

  • Generate insights in real time

High Speed OLAP

Perform sub-second, multi-dimensional analysis using Intellicus' in-memory OLAP engine. Capabilities include:

  • Interactive slice-and-dice exploration

  • Hierarchical drilldowns

  • Cross-dimensional analysis

ETL-Enabled Meta-Layer

Combine data from multiple systems to create unified reports or dashboards. Intellicus supports:

  • Data extraction and transformation from diverse sources

  • Preprocessing logic for reusable data models

  • Cross-source joins and calculated fields

Report Scheduling and Bursting

Automate report delivery through scheduled jobs or conditional triggers. Features include:

  • Distribution in multiple formats (PDF, Excel, HTML)

  • Role-based content delivery (report bursting)

  • Personalized views for individual recipients

Data Science Integration

Integrate machine learning and predictive analytics into your reporting. Intellicus Data Science enables:

  • Forecasting and what-if analysis

  • Anomaly detection and trend prediction

  • Integration with ML models for deeper insights

Each capability is explained in detail in the subsequent chapters.

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