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Advanced Modeling for InterSystems IRIS Business

Create SQL and MDX computed dimensions, shared dimensions, and compound cubes in InterSystems IRIS.

Updated Feb 2, 2026
Search Tags:#data modeling#business intelligence#intersystems iris#computed dimensions#compound cubes#shared dimensions
One-click install
npx skills add https://github.com/sorodriguezz/skills-objectscript --skill advanced-modeling-for-intersystems-iris-business
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Advanced Modeling for InterSystems IRIS Business
Source: https://github.com/sorodriguezz/skills-objectscript/tree/main/skills/advanced-modeling
Command: npx skills add https://github.com/sorodriguezz/skills-objectscript --skill advanced-modeling-for-intersystems-iris-business

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill empowers users to define and implement advanced data modeling concepts within InterSystems IRIS Business Intelligence, specifically focusing on computed dimensions and shared/compound cubes for more sophisticated data analysis.

Core Features & Use Cases

  • Computed Dimensions: Define dynamic members at runtime using SQL or MDX queries, offering flexibility beyond static data.
  • Shared Dimensions: Create dimensions that can be reused across multiple cubes, ensuring consistency and enabling cross-cube analysis.
  • Compound Cubes: Combine multiple cubes into a single subject area for integrated reporting and analysis.
  • Relationships: Define one-to-many and two-way relationships between cubes to link related data sets.
  • Use Case: A business analyst needs to create a report that combines sales data from different regions, where each region has its own specific product dimension. This Skill allows them to define a shared product dimension and then create a compound cube to bring all sales data together, enabling a unified view.

Quick Start

Use the advanced modeling skill to define a SQL computed dimension named 'CustomerSegments' with a member 'HighValue' based on a specific customer spending query.

Frequently Asked Questions about Advanced Modeling for InterSystems IRIS Business

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create computed dimensions in InterSystems IRIS Business Intelligence?▼

Computed dimensions in InterSystems IRIS Business Intelligence are created by defining dynamic members at runtime using SQL or MDX queries, offering flexibility beyond static data structures. This allows for runtime data aggregation and dynamic member generation.

What is the best way to analyze data across multiple InterSystems IRIS cubes?▼

The best way to analyze data across multiple InterSystems IRIS cubes is by creating shared dimensions and compound cubes. Shared dimensions ensure consistency for cross-cube analysis, while compound cubes combine multiple cubes into a single subject area for integrated reporting.

How do you define relationships between cubes in InterSystems IRIS?▼

Relationships between cubes in InterSystems IRIS are defined by creating one-to-many and two-way links between related data sets. This facilitates complex analytical scenarios by connecting related data across multiple sources for unified querying.

Do I need to know MDX and SQL to use advanced data modeling in InterSystems IRIS?▼

Yes, you need a solid understanding of InterSystems IRIS cube architecture and both SQL and MDX query languages. These languages are required to define computed dimensions, generate dynamic members, and aggregate data across multiple sources.

When should I use shared dimensions instead of static dimensions in InterSystems IRIS?▼

You should use shared dimensions when you need to reuse a dimension across multiple cubes to ensure consistency and enable cross-cube analysis. This is essential when combining data, such as sales from different regions, into a unified compound cube.

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