Monarch Classic and Monarch Data Prep Studio
Prepare, Transform, and Cleanse Data from Virtually Any Source
Monarch is a product of Altair
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
Material models used in structural finite element analysis (FEA) are often one of the key aspects that engineers need to describe very accurately.
optimization modefrontier ls-dyna
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
Further reduction of the heat loss compared to the best design of the NSGA-II first phase design optimization: a further 4% gained
cfd biomechanics ansys modefrontier optimization
CASE STUDY
A collaborative project between Nissan Technical Centre Europe, RBF Morph, and the University of Rome “Tor Vergata” showcases how multi-physics optimization is revolutionizing automotive wheel design, particularly for electric vehicles (EVs). By integrating styling, structural analysis, and aerodynamics within a unified workflow enabled by advanced mesh morphing technology (rbfCAE), designers can optimize wheels for lightweight, strength, and aerodynamic efficiency without compromising aesthetics.
automotive optimization
CASE STUDY
This technical article describes how engineers tackled a design optimization challenge to ensure the structural integrity of a section of the beam of a typical steel bridge whose web of main beams was subject to instability.
civil-engineering modefrontier optimization