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What is XLMiner?

The XLMiner® Platform has undergone a rebranding to become Analytic Solver® Data Mining, an effective and user-friendly solution for data visualization, forecasting, and mining directly within Excel. This powerful tool empowers users to explore their data comprehensively, allowing for both visualization and transformation while leveraging a mix of classical statistical methods and cutting-edge data mining techniques, such as classification and regression trees, neural networks, and widely used forecasting time series approaches. It is capable of extracting data from virtually any database, including Microsoft’s Power Pivot, which can handle over 100 million rows, while providing robust features to clean, transform, and segment data into training, validation, and testing sets. Its performance and capabilities rival those of high-end enterprise data mining software, which typically carries a price point that is often ten times greater. Furthermore, with the latest enhancements in both features and performance, users also gain additional benefits from Analytic Solver Data Mining, including complimentary access to its cloud-based version and free usage of optimization and simulation tools. Consequently, this platform not only streamlines the efficiency of data analysis but also delivers substantial value for users aiming to harness the power of advanced analytics to make informed decisions. Additionally, the platform's intuitive interface ensures that users of all skill levels can effectively utilize its extensive capabilities.

What is MineTwin?

MineTwin presents a robust software solution tailored for the planning, simulation, and decision-making processes in both open-pit and underground mining environments. It equips mining specialists, including engineers and consultants, with the capability to create precise digital replicas of mines, enabling them to examine various operational scenarios and evaluate potential changes prior to committing to investments in equipment, capital, or production resources. By incorporating discrete-event simulation, optimization techniques, and scheduling functionalities, MineTwin adeptly models numerous facets of mining operations, including mine layouts, production targets, equipment fleets, haulage systems, material movements, maintenance schedules, and operational constraints. This comprehensive modeling facilitates scenario analysis, fleet size and allocation optimization, identification of bottlenecks, validation of production strategies, and assessment of new technologies or infrastructure enhancements. The platform is equipped with dynamic 2D and 3D visualizations, dashboards, timelines, graphs, and detailed reporting tools that enhance the comprehension of simulation results. Additionally, MineTwin supports integration with standard engineering and spreadsheet formats, allowing for the seamless export of results to Microsoft Excel for further analysis and reporting. This adaptability and user-friendliness render MineTwin an essential resource for boosting efficiency and improving decision-making processes in the mining sector, ultimately leading to more informed and strategic operational choices.

Media

Media

Integrations Supported

Integrations Supported

Maptek Vulcan

API Availability

API Availability

Pricing Information

$2495 one-time payment

Pricing Information

$0
Free Version
Free Trial Offered?

Supported Platforms

Windows

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Frontline Systems

Company Website

www.solver.com/xlminer%C2%AE-platform

Company Facts

Organization Name

MineTwin

Date Founded

2018

Company Location

United Arab Emirates

Company Website

mine-twin.com

Categories and Features

Sales Forecasting

Graphical Data Presentation
Sales Trend Analysis
Statistical Analysis

Categories and Features

Mining

Not specified

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