Monarch is a product of Altair
Altair Monarch Classic is a comprehensive application enabling users to model and extract analytical assets from diverse data sources, including structured and unstructured formats like PDFs, reports, and EDI streams. This data can then be utilized for self-service desktop analytics.
Data Prep Studio, a component of Monarch, facilitates rapid data preparation with features such as drag-and-drop parsing and extraction, report discovery and data combination, real-time data manipulation, and export capabilities to various file types.
Designed for data architects, engineers, and analysts, Monarch simplifies data transformation with a wizard-driven interface and over 80 pre-built functions. Models can be seamlessly exported to popular BI and analytics platforms.
With 30 years of industry leadership, Monarch excels at extracting data from diverse sources, including PDFs, text files, and big data. Ensure data integrity with auditable change histories and clear lineage tracking, all without coding.
Empower self-service data preparation on the desktop, eliminating IT bottlenecks. Automate repeatable processes with reusable models, freeing up valuable time for analysis.
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CASE STUDY
The text discusses the importance of digital simulation models in modern factory design and reconfiguration, particularly in response to shorter product lifecycles and increased customization demands. Traditional design methods often lead to inefficiencies and high costs, making digital simulation essential for creating flexible and adaptable production systems. The article highlights a case study involving a furniture assembly factory, where a manufacturer needed to efficiently handle a variety of custom kitchen cabinet orders. The system integrator was tasked with designing a robotic assembly line that could maintain production efficiency despite the high variety of products.
industry4 SIMUL8
CASE STUDY
The text discusses the importance of digital simulation models in modern factory design and reconfiguration, particularly in response to shorter product lifecycles and increased customization demands. Traditional design methods often lead to inefficiencies and high costs, making digital simulation essential for creating flexible and adaptable production systems. The article highlights a case study involving a furniture assembly factory, where a manufacturer needed to efficiently handle a variety of custom kitchen cabinet orders. The system integrator was tasked with designing a robotic assembly line that could maintain production efficiency despite the high variety of products.
industry4 SIMUL8
CASE STUDY
In this article, we show that the main turbine characteristics, such as efficiency and exit flow angle, can be sufficiently improved using parametric optimization.
modefrontier energy optimization

CASE STUDY
The purpose of the case study was to implement a design methodology that used multi-disciplinary simulation and an automated process to analyse thousands of product configurations and highlight vehicle performance distributions in terms of handling, comfort, and cost. This approach ensures that the best solution is always selected.
mechanics modefrontier automotive optimization

CASE STUDY
Modern propeller requirements involve many different characteristics, not limiting only to maximum efficiency, but considering also propeller cavitating behavior and, more and more, its side effects, in terms of radiated noise and pressure pulses.
marine modefrontier optimization