SigmaXL Overview

SigmaXL is a powerful yet easy-to-use statistical analysis tool built as an add-in for Microsoft Excel. It was designed from the ground up to be a cost-effective solution that enables users to measure, analyze, improve, and control their service, transactional, and manufacturing processes. Leveraging the familiar Excel interface, it is particularly popular for Lean Six Sigma training and application, as well as for academic use in statistics courses, bridging the gap between basic spreadsheets and advanced standalone packages.
SigmaXL is ideal for Six Sigma professionals, quality engineers, business analysts, and students who are comfortable with Excel and seek a more powerful statistical toolkit for process improvement, data analysis, and training purposes without a steep learning curve.
SigmaXL successfully combines analytical depth with Excel-based familiarity, making it an excellent and cost-effective choice for driving data-based process improvements, especially within Six Sigma and academic environments.
SigmaXL Details
SigmaXL Platforms supported
Desktop Mac
Desktop Windows
Cloud, SaaS, Web-Based
Desktop Chromebook
Desktop Linux
Mobile Android
Mobile iPad
Mobile iPhone
On-Premise Linux
On-Premise Windows
SigmaXL Support options
Chat
SigmaXL Training options
Documentation
Webinars
In-Person
Live Online
Videos
SigmaXL Related Categories
SigmaXL Typical customers
Freelancers
Small Businesses
Small to Mid size businesses
Mid size businesses
Mid to Large size enterprises
Large enterprises
Very Large enterprises
SigmaXL Pricing
Tiered pricing system
SigmaXL Features
Most valued SigmaXL features by users
Association Discovery
Bayesian Analysis
Data Visualization
Forecasting
Multivariate Analysis
Predictive Analytics
Regression Analysis
Reporting & Statistics
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Activity Dashboard
Compliance Management
Corrective and Preventive Actions (CAPA)
Customizable Reports
Data Entry
Data Import/Export
Data Linking
Data Management
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