Monarch Classic and Monarch Data Prep Studio

Monarch Classic and Monarch Data Prep Studio

Prepare, Transform, and Cleanse Data from Virtually Any Source

Monarch Classic and Monarch Data Prep Studio

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.

Monarch

Main benefits

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  Intuitive and User-Friendly

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.

  Robust Self-Service Data Preparation

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.

  Cost Reduction and Increased Efficiency

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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Insights

CASE STUDY

Optimizing the cable routing for a hyper-redundant inspection robot for harsh, hazardous environments

A multi-objective optimization framework to reduce the actuation loads and increase the payload

This article discusses a multi-objective optimization study to determine the optimal matrix for the routing of the actuating cable system in order to minimize the cable load on the robot and maximize the robot’s payload.

optimization modefrontier mechanics electronics

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CASE STUDY

Flexible factory design and reconfiguration using digital simulation models

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

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CASE STUDY

Improved blast furnace performance with material load optimization

Combining modeFRONTIER with Rocky DEM to design a better deflector saves up to 130 hours of computation time

The Arvedi Group approached the University of Trieste to find a solution to the uneven distribution of material inside the hopper of their blast furnace in Trieste, Italy.

optimization modefrontier rocky mechanics

CASE STUDY

Ultra-Wide Band Radome CAE Optimization

Overcoming mechanical and electromagnetic challenges in refining a radome for electronic warfare

Elettronica SpA designs and produces systems for electronic warfare. Each system design is unique according to its platform and purpose. In this article, the company describes how it used CAE to approach the challenging design of a single sandwich radome.

ansys optimization electronics

CASE STUDY

Faster than the wind: the optimization experience in the America’s Cup Challenge

New America’s Cup regulations: a design challenge

Sailing and engineering teams have been dealing with a new set of challenges ranging from boat handling, tactics and, it goes without saying, the design of these new vessels and their subsystems.

marine optimization modefrontier