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

Introducing Skippy: an athletic monopedal robot, designed for a repertoire of behaviors

Demonstrating the effectiveness of a systematic, complete design approach to achieve extreme, unprecedented behaviors

This article discusses a realistic multi-objective parameter optimization study of a highly athletic one-legged robot, called Skippy, in which both the parameters of the mechanism and the parameters of its optimal behaviors were sought.

optimization modefrontier biomechanics

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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

Optimizing a cam mechanism using Adam and MATLAB

The design of a cam for high-speed production machines with various operating criteria imposes various conflicting objectives

This technical case study explains the application of a two-step methodology using the MATLAB and Adam algorithms in the modeFRONTIER software platform.

optimization modefrontier automotive

CASE STUDY

Structural Optimization of the Drift Chamber at FermiLAB

A collaboration between EnginSoft and the Italian Institute of Nuclear Physics (I.N.F.N.)

The ultimate goal of the study was to optimize the Drift Chamber’s performance in terms of stiffness, strength and weight o be mounted on the Mu2e particle detector at FermiLAB in Chicago

construction modefrontier ansys optimization energy

CASE STUDY

Filming the Bloodhound Super Sonic Car Land Speed Record

Using CAE to optimise the design of a prototype for a super sonic filming drone

This detailed technical case study describes how the students arrived at a supersonic aircraft drone prototype using MATLAB and modeFRONTIER in order to reduce the time and costs of numerical and wind-tunnel testing.

automotive modefrontier optimization