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ease
features
design
support

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Description

QI Macros for Excel is a comprehensive Lean Six Sigma and SPC software add-in that transforms Microsoft Excel into a powerful quality improvement platform. It automates the creation of control charts, Pareto charts, histograms, fishbone diagrams, and dozens of other statistical tools used in process improvement. Intelligent wizards analyze your data and recommend the appropriate chart or statistical method, eliminating uncertainty. The software supports advanced analyses such as ANOVA, t-tests, regression, Gage R&R, DOE, and process capability calculations. Because it integrates directly into Excel, users can leverage familiar spreadsheets without learning complex standalone statistical software. Prebuilt templates for SIPOC diagrams, DMAIC projects, and validation activities streamline improvement initiatives. The Improvement Project Wizard converts raw data into structured projects that identify hidden opportunities. QI Macros is widely used by Green Belts, Black Belts, healthcare administrators, engineers, and quality professionals. Its affordability makes it a practical alternative to high-cost statistical software packages. With free Yellow Belt training and a 30-day trial, QI Macros helps organizations achieve faster results while reducing analysis time and costs.

Description

SigmaXL was created from the ground up to provide a cost-effective, powerful and easy-to-use tool that allows users to measure, analyze and improve their service, transactional and manufacturing processes. SigmaXL can be used as an add-in to Microsoft Excel or for Lean Six Sigma training. Version 9 includes advanced control charts and time series forecasting. Click here to see all features in SigmaXL Automatic removal of extreme VIF and collinear terms (with an alias or removal report). Specify interactions and quadratic orders (all interactions and up to 3-Way). ANOVA Type I and/or III Sum-of–Squares with Pareto of Percent contribution and Standardized Effects. Lenth Pseudo Standard Error in Saturated Models (Orthogonal and Non-Orthogonal) with Monte Carlo P-Values or Student T P. White robust standard errors for non-constant variance (Heteroskedasticity-Consistent).

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Microsoft Excel

Integrations

Microsoft Excel

Pricing Details

$379.00 USD/User/Perpetual
Free Trial
Free Version

Pricing Details

$249.00/one-time/user
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

KnowWare International Inc.

Founded

1997

Country

United States

Website

www.qimacros.com

Vendor Details

Company Name

SigmaXL

Founded

1998

Country

Canada

Website

www.sigmaxl.com

Product Features

SPC

Corrective Actions (CAPA)
Data Entry
Data Linking
Data Management
Excel Loader
Job Management
OPC Data Collection
Performance Metrics
Point-of-Production Analysis
Real Time Data Collection
Regulatory Compliance

Product Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

SPC

Corrective Actions (CAPA)
Data Entry
Data Linking
Data Management
Excel Loader
Job Management
OPC Data Collection
Performance Metrics
Point-of-Production Analysis
Real Time Data Collection
Regulatory Compliance

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

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