SPC for Excel Reviews & Ratings

SPC for Excel

5.0 out of 5 stars
Number Analytics  Reviews & Ratings

Number Analytics

5.0 out of 5 stars

Ratings and Reviews 2 Ratings

Total 5 out of 5 stars
ease 4.5 out of 5 stars
features 5 out of 5 stars
design 4.5 out of 5 stars
support 5 out of 5 stars

Ratings and Reviews 1 Rating

Total 5 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars
design 5 out of 5 stars
support 4 out of 5 stars

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What is SPC for Excel?

SPC for Excel is a straightforward yet robust software package designed to meet all your needs for statistical process control and analysis. This tool empowers users to pinpoint areas of concern, derive insights from their data, detect emerging trends, and address issues—all within the familiar Excel environment. Whether you're a beginner or an expert, SPC for Excel supports your continuous improvement initiatives across various sectors, be they for-profit or non-profit organizations. It offers a comprehensive range of techniques for effective charting and analysis, including Pareto diagrams, histograms, control charts, Gage R&R assessments, process capability evaluations, distribution fitting, data transformation, regression analysis, design of experiments (DOE), hypothesis testing, and much more. With a one-time purchase, the software is yours indefinitely, allowing for two downloads per user and complimentary technical support. You can even explore a demo version to experience its ease of use firsthand. The software includes tools for process capability analysis to ensure customer satisfaction. Control charts and histograms help in the effective management of processes. Gage R&R studies validate your measurement systems, while problem-solving tools such as Pareto charts, scatter plots, and others assist teams in tackling challenges. Additionally, advanced data analysis features like DOE, ANOVA, and various statistical tests are available to cater to your more complex analytical needs. Ultimately, SPC for Excel stands as a versatile solution for those seeking to enhance their data analysis capabilities.

What is Number Analytics ?

Number Analytics is an online statistical software tool designed for marketing research purposes. It features a user-friendly interface and operates seamlessly in the cloud environment. The platform provides fundamental statistical analyses, including t-tests, ANOVA, and regression analysis, catering to various research needs. Additionally, it includes specialized marketing applications like choice-based conjoint analysis and perceptual mapping, enhancing its utility for marketers. This combination of tools makes it a versatile option for those looking to conduct comprehensive marketing studies.

Media

Media

Integrations Supported

Microsoft 365
Microsoft Excel
Microsoft PowerPoint
Microsoft Word

Integrations Supported

API Availability

API Availability

Pricing Information

$329/one-time/user
Discounts for multi-users starting at 2 users; also offer site and enterprise licenses.

No extra cost for a second download per user.

Price is a one-time fee. There are no maintenance or subscription fees.
Free Trial Offered?

Pricing Information

$29.00/month/user
It is a freemium model with free basic plan, $29/m advanced plan, and $299/m premium plan.
Free Version

Supported Platforms

Windows
Mac

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

BPI Consulting, LLC

Date Founded

1995

Company Location

United States

Company Website

www.spcforexcel.com

Company Facts

Organization Name

Number Analytics LLC

Date Founded

2013

Company Location

United States

Company Website

www.numberanalytics.com

Categories and Features

Data Analysis

Data Visualization
Statistical Modeling

Data Visualization

Analytics
Simulation Models

Decision Support

Data Analysis

Qualitative Data Analysis

Data Visualization
Quantitative Content Analysis
Statistical Analysis

SPC

Data Entry
Data Management
Performance Metrics
Point-of-Production Analysis

Statistical Analysis

Analytics
File Management
File Storage
Forecasting
Regression Analysis
Statistical Process Control
Time Series
Visualization

Categories and Features

Data Analysis

Data Discovery
Data Visualization
Predictive Analytics
Regression Analysis
Statistical Modeling

Market Research

Data Management
Statistical Analysis
Survey Management

Marketing Analytics

Performance Metrics
Predictive Analytics

Statistical Analysis

Analytics
Association Discovery
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Simulation
Visualization

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