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Average Ratings 0 Ratings

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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

ndCurveMaster, a specialized curve fitting software, is designed to fit curves with multiple variables. It automatically applies nonlinear equations to your datasets. These can be observed or measured values. The software supports curve and surfaces fitting in 2D 3D 4D 5D ..., dimensions. ndCurveMaster is able to handle any data, no matter how complex or how many variables there are. ndCurveMaster, for example, can efficiently derive the optimal equations for a dataset that has six inputs (x1-x6) and a corresponding output Y. For example: Y = a0 - a1 - exp(x1)0.5 + a2 ln(x2)8... + a6 x65.2 to accurately match measured value. ndCurveMaster uses machine learning numerical methods to automatically fit the most suitable nonlinear regression function to your dataset, and discover the relationships between inputs and outputs. This tool supports various curve fitting methods, including linear, polynomial, and nonlinear methods. It also utilizes essential validation and goodness-of-fit tests to ensure accuracy. Additionally, ndCurveMaster provides advanced assessments, such as detecting overfitting and multicollinearity, using tools like the Variance Inflation Factor (VIF) and the Pearson correlation matrix.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Microsoft Excel
Pascal
Python

Integrations

Microsoft Excel
Pascal
Python

Pricing Details

$379.00 USD/User/Perpetual
Free Trial
Free Version

Pricing Details

€289
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

SigmaLab Tomas Cepowski

Founded

2017

Country

Poland

Website

www.ndcurvemaster.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

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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