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What is iCruisePro?

iCruisePro, LLC has introduced its iCruisePro timber inventory software, tailored specifically for iPad and iPhone users. This innovative software meets the demands of contemporary foresters, providing a sophisticated yet intuitive platform for gathering tree data, utilizing established volume tables for processing, and creating final reports that can be sent via email or text message right from the field. The iCruisePro, LLC team comprises forestry professionals, including managers, consultants, and inventory experts, all committed to transforming forest inventory projects with this software solution. Throughout the development of this advanced product, essential insights were obtained from foresters, developers, and users during every phase of the inventory process. The volume tables and calculations featured in the software are based on the reputable Bennett & Peters inventory program, which has been a trusted resource for southern foresters for more than thirty years. By combining feedback from users with reliable methodologies, iCruisePro seeks to improve the effectiveness of timber inventory management in practical settings. This emphasis on innovation demonstrates the company's commitment to equipping forestry professionals with the necessary tools for precise and efficient inventory management. Their goal is not only to streamline the inventory process but also to elevate the overall quality of forest resource management.

What is Salford Predictive Modeler (SPM)?

The Salford Predictive Modeler® (SPM) software suite is renowned for its remarkable speed and accuracy in crafting predictive, descriptive, or analytical models. Featuring engines such as CART®, TreeNet®, and Random Forests®, along with innovative automation capabilities and unique modeling functionalities, SPM stands out in the realm of data analysis tools. This comprehensive suite encompasses a range of data mining technologies, including classification, regression, survival analysis, and methods for handling missing values, as well as data binning and clustering. SPM algorithms are invaluable in sophisticated data science applications, making them a cornerstone for analysts seeking to derive insights from complex datasets. The automation of model construction is significantly streamlined with SPM, facilitating a more efficient exploration and refinement process. Furthermore, the suite allows for the seamless integration of results from various modeling approaches into a single, cohesive package, enhancing the review process for users. This combination of features not only boosts productivity but also empowers data professionals to make informed decisions more effectively.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

iCruisePro

Company Location

United States

Company Website

www.icruisepro.com

Company Facts

Organization Name

Minitab

Date Founded

1972

Company Location

United States

Company Website

www.minitab.com/en-us/products/spm/

Categories and Features

Forestry

Barcoding / RFID
Contract Management
Cost Accounting
Customer Management
Financial Management
Harvest Management
Order Processing
Pricing Management
Production Tracking
Supplier Management
Transportation Management

Categories and Features

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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