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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Predisys specializes in providing solutions for quality control, test data management, and manufacturing business intelligence, aimed at helping organizations improve product quality, increase efficiency, lower compliance costs, and boost visibility throughout the product lifecycle and supply chain. Their premier offering, the Predisys Analytical Suite, includes a variety of tools designed for the collection and management of quality and performance measurement data sourced from various platforms, enabling detailed analysis and reporting through advanced statistical process control (SPC) techniques along with powerful analytical and data visualization capabilities. This software is particularly effective at converting large volumes of inspection and testing data into meaningful insights. Moreover, Predisys' enterprise-level solution caters specifically to the needs of medical device, diagnostics, biotech, and pharmaceutical sectors, ensuring compliance with FDA regulations while providing a cost-efficient, adaptable, and straightforward transition from traditional paper records to a fully automated electronic management system. Ultimately, Predisys aims to streamline operations and enhance decision-making for its clients, fostering innovation and a competitive edge in the market.

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 365
Microsoft SharePoint

Integrations

Microsoft 365
Microsoft SharePoint

Pricing Details

No price information available.
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

Predisys

Website

www.predisys.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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