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What is QI Macros?

QI Macros for Excel is a robust Lean Six Sigma and Statistical Process Control add-in designed to simplify data analysis and accelerate quality improvement initiatives. By embedding directly into Microsoft Excel, it enhances spreadsheets with advanced statistical capabilities while maintaining a familiar interface. Users can effortlessly generate control charts, Pareto charts, histograms, fishbone diagrams, and other essential quality tools with just a few clicks. Automated chart selection and statistical wizards evaluate the data and recommend the most appropriate analysis method, eliminating confusion and manual setup. The software supports a wide array of analytical techniques, including hypothesis testing, ANOVA, regression analysis, Gage R&R, design of experiments, and capability studies. Fill-in-the-blank templates streamline project documentation for DMAIC, SIPOC, PPAP, and other improvement frameworks. The Improvement Project Wizard helps transform raw operational data into structured improvement projects that uncover process inefficiencies. QI Macros significantly reduces the time required to produce dashboards, reports, and validation studies. Its cost-effective pricing makes it an attractive alternative to expensive standalone statistical packages. Widely adopted in healthcare, manufacturing, engineering, and operational excellence programs, it supports professionals at every belt level. Free Yellow Belt training and educational resources help users quickly build skills and confidence. With its combination of automation, accessibility, and powerful analytics, QI Macros enables organizations to improve processes faster, reduce waste, and achieve measurable financial results.

What is NXG Logic Explorer?

NXG Logic Explorer is a robust machine learning application specifically designed for Windows, intended to simplify various aspects of data analysis, predictive modeling, class identification, and simulation tasks. By optimizing numerous workflows, it enables users to discover new trends in exploratory datasets while also facilitating hypothesis testing, simulations, and text mining, all aimed at extracting meaningful insights. Noteworthy functionalities include the automatic organization of chaotic Excel files, parallel feature evaluation for producing summary statistics, and conducting Shapiro-Wilk tests, histograms, and frequency calculations for both continuous and categorical variables. Additionally, the software allows for the concurrent application of ANOVA, Welch ANOVA, chi-squared, and Bartlett's tests across diverse variables, while also automatically generating multivariable linear, logistic, and Cox proportional hazards regression models based on a defined p-value threshold to refine results derived from univariate analyses. All these features make NXG Logic Explorer an indispensable resource for researchers and analysts looking to significantly elevate their data analysis proficiency, ultimately encouraging a deeper understanding of complex datasets.

Media

Media

Integrations Supported

Microsoft Excel

Integrations Supported

Microsoft Excel

API Availability

API Availability

Has API

Pricing Information

$379.00 USD/User/Perpetual
Single-user, single-computer, perpetual license
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

Windows
Mac

Supported Platforms

Windows

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

KnowWare International Inc.

Date Founded

1997

Company Location

United States

Company Website

www.qimacros.com

Company Facts

Organization Name

NXG Logic

Company Location

United States

Company Website

nxglogic.com/explorer.html

Categories and Features

SPC

Data Linking
Data Management
Job Management
Performance Metrics
Point-of-Production Analysis
Real Time Data Collection

Categories and Features

Statistical Analysis

Not specified

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