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What is SigmaXL?

SigmaXL was designed from the outset to be a cost-effective, robust, and user-friendly tool that empowers users to assess, analyze, and enhance their service, transactional, and manufacturing operations. This versatile software can either be integrated as an add-in for Microsoft Excel or utilized for Lean Six Sigma training purposes. The latest version, 9, offers sophisticated features such as advanced control charts and time series forecasting. Among its many capabilities, SigmaXL provides automatic removal of extreme Variance Inflation Factor (VIF) and collinear terms, complete with an alias or removal report. Users can define interactions and quadratic orders, accommodating all interactions and up to three-way interactions. It also supports ANOVA Type I and/or III Sum-of-Squares, along with Pareto analysis of percent contributions and standardized effects. Additionally, it calculates Lenth Pseudo Standard Error in saturated models, both orthogonal and non-orthogonal, while offering options for Monte Carlo P-Values or Student T P values. Moreover, SigmaXL includes White robust standard errors to address non-constant variance, ensuring reliability in statistical analyses. With such a comprehensive suite of features, SigmaXL stands out as an essential tool for professionals aiming to optimize their processes effectively.

What is Minitab Statistical Software?

Minitab Statistical Software, our flagship product, is at the forefront of data analysis, enabling users to visualize, interpret, and leverage their data to uncover insights and tackle their most pressing challenges effectively. With a combination of trusted analytics and modern visualizations, Minitab empowers users to make informed decisions with confidence. The newest iteration of Minitab Statistical Software features cloud access, allowing users to perform analyses from any location, as well as the Graph Builder, an innovative interactive tool that facilitates the creation of multiple graph options simultaneously. Additionally, Minitab provides specialized modules for Predictive Analytics and Healthcare, further enhancing your analytical capabilities. Supporting a diverse user base, Minitab is available in eight different languages: English, Chinese, French, German, Japanese, Korean, Spanish, and Portuguese. For over five decades, Minitab has been instrumental in aiding countless organizations and institutions in identifying trends, resolving issues, and extracting meaningful insights from their data through our extensive suite of premier data analysis and process improvement resources. As we continue to innovate, we remain dedicated to enhancing the user experience and expanding our offerings to meet evolving analytical needs.

Media

Media

Integrations Supported

Integrations Supported

Amazon Aurora
Amazon Redshift
Apache HBase
Avaya Aura
JMP Statistical Software
Qualtrics XM Platform
Talend Data Integration
Verint Digital Feedback
Verint Predictive Modeling
WinSPC

API Availability

API Availability

Has API

Pricing Information

$249.00/one-time/user

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

Windows
Mac

Supported Platforms

Windows
Mac

Customer Service / Support

Standard Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SigmaXL

Date Founded

1998

Company Location

Canada

Company Website

www.sigmaxl.com

Company Facts

Organization Name

Minitab

Date Founded

1972

Company Location

United States

Company Website

www.minitab.com/en-us/

Categories and Features

Data Analysis

Not specified

SPC

Corrective Actions (CAPA)
Performance Metrics

Statistical Analysis

Not specified

Categories and Features

Data Analysis

Data Discovery
Data Visualization
Predictive Analytics
Regression Analysis
Statistical Modeling

Graphing

Not specified

Quality Management

Corrective and Preventive Actions (CAPA)
ISO Standards Management
Risk Management

SPC

Corrective Actions (CAPA)
Data Entry
Performance Metrics
Regulatory Compliance

Statistical Analysis

Analytics
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

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