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features
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support

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Description

Experience the robust statistical modeling and analysis capabilities typically found in high-end statistics software. This package encompasses a wide range of techniques including multiple regression and model fitting, ANOVA, ANCOVA, multiple comparisons, principal component analysis (PCA), factor analysis, and hypothesis testing, along with various tools for exploratory data analysis. It also features statistical process control and quality enhancement tools that help fulfill customer needs and ensure satisfaction. Furthermore, it enables compliance with regulatory standards through thorough analytical and diagnostic method validation and verification. Enjoy all the advanced functionalities of Analyse-it, integrating the best features from other versions. With over 25 years of experience in developing statistical software, we have established a strong reputation for quality and have collaborated with numerous prominent companies due to our proven track record. Our commitment to innovation and excellence keeps us at the forefront of the industry, ensuring our users have access to the latest advancements in statistical analysis.

Description

SPC stands for “Statistical Process Control,” a method that has gained significant traction since the mid-1980s, particularly within the American automotive sector. In French, this technique is referred to as “Contrôle Statistique des Processus” (SPM). The primary aim of SPC is to minimize scrap and rework rates through effective quality control of ongoing production, coupled with sampling methods, thereby anticipating issues related to non-quality. Utilizing SPC software allows for the real-time monitoring of processes and sends alerts if control limits are breached. © Infodream. Among the notifications generated are warnings about overruns of control limits, which are more stringent than tolerance limits, as well as indications of trends that suggest process degradation. This proactive approach enables manufacturers to address potential quality issues before producing defective parts. Importantly, this technique is versatile and can be applied to various manufacturing processes, whether producing in small batches or large volumes, and regardless of whether 100% inspection or sampling is employed. Ultimately, SPC contributes to maintaining high-quality standards in production.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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

Analyse-it Software

Founded

1997

Country

United Kingdom

Website

www.analyse-it.com

Vendor Details

Company Name

INFODREAM

Country

France

Website

www.infodreamgroup.fr/tag/spc-vision/

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

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

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

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