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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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Microsoft 365 Yes 
Microsoft SharePoint Yes 

Integrations

Microsoft 365 No 
Microsoft SharePoint No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$249.00/one-time/user
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

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

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

SPC

Corrective Actions (CAPA) Yes 
Data Entry No 
Data Linking No 
Data Management No 
Excel Loader No 
Job Management No 
OPC Data Collection No 
Performance Metrics Yes 
Point-of-Production Analysis No 
Real Time Data Collection No 
Regulatory Compliance No 

Statistical Analysis

Analytics No 
Association Discovery No 
Compliance Tracking No 
File Management No 
File Storage No 
Forecasting No 
Multivariate Analysis No 
Regression Analysis No 
Statistical Process Control No 
Statistical Simulation No 
Survival Analysis No 
Time Series No 
Visualization No 

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