SPC for Excel Description

SPC for Excel, a simple but powerful package, to handle all your SPC and statistical analysis needs. SPC for Excel software allows you to identify problem areas, gain insight into your data, spot trends and solve problems. All this in Excel. From the novice to the black belt, SPC for Excel will facilitate your process improvement efforts – in any industry – profit or non-profit.
Get all the techniques you need for your charting and analysis – including Pareto diagrams, Histogram, Control Charts, Gage R&R, Process Capability, Distribution Fitting, Data Transformation, Regression, DOE, Hypothesis Testing, and more! One time payment – yours forever. Two downloads per user and free Technical support. Try out our Demo – see how easy it is!

Process Capability analysis - to meet customer needs
Control charts and histograms - to manage processes
Gage R&R Studies – To validate your measurement system
Problem Solving Tools (Pareto and histogram, scatter, etc.) - to help your group solve problems
Advanced Data Analysis Tools (DOE and ANOVA, distribution fittings, regression, hypotheses testing and more) are available to meet your advanced requirements.

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Pricing

Pricing Starts At:
$329/one-time/user
Pricing Information:
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 Version:
Yes
Free Trial:
Yes

Integrations

View Integrations

Reviews - 2 Verified Reviews

Total
ease
features
design
support
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Company Details

Company:
BPI Consulting, LLC
Year Founded:
1997
Headquarters:
United States
Website:
www.spcforexcel.com
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Media

Play Video Control Chart Process Capability SnapShot Gage R&R Studies Histogram Advanced Data Analysis Options in Excel Ribbon
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Product Details

Platforms
Windows
Mac
Type of Training
Documentation
Live Online
Webinars
In Person
Videos
Customer Support
Phone Support
Online

SPC for Excel Features and Options

SPC Software

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 Software

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Qualitative Data Analysis Software

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Data Visualization Software

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Data Analysis Software

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Decision Support Software

Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control

SPC for Excel Lists

SPC for Excel User Reviews

Write a Review
  • Name: Newton G.
    Job Title: Director of Quality
    Length of product use: 2+ Years
    Used How Often?: Monthly
    Role: User
    Organization Size: 26 - 99
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Review of SPC for Excel

    Date: Nov 01 2023

    Summary: I first became aware of this software after going to the internet to find explanatory material about control charts. I noticed that the best articles were written by the author of this software, and upon further examination, learned about his product SPC for Excel. I purchased the software right away, and after using it, purchased more copies for all members of our QA Department, and I have also advised our suppliers to purchase this software as well. The software is excellent, and is only surpassed by the exceptional customer service offered with this product.

    Positive: This is exceptional software, and is the only SPC software used in our company. It is very reasonably priced, and significantly less expensive than other software with the same features and capability. The support that we receive on this software is the best in the industry; excellent, prompt, and professional. The author of the software is an international expert in the statistical field and has published several excellent articles about statistics that explain advanced concepts in simple and comprehensible terms. I cannot recommend this software more strongly.

    Negative: There is very little to dislike about this software. Some aspects were a little difficult to use at first, as is almost all SPC software, but the author provides an excellent manual for use with the software.

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  • Name: Abdulrahman A.
    Job Title: PhD student
    Length of product use: Less than 6 months
    Used How Often?: Daily
    Role: User
    Organization Size: 10,000 - 19,999
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Great for fitting distributions

    Date: Nov 19 2021

    Summary: My work mostly involves modeling and simulation and SPC was the best way to transform my data, being both fast and reliable.

    Positive: SPC provided me with and easy and reliable tool to fit distributions to my data and to, theoretically, judge the accuracy of my options for building my models. I also found it to be relatively easy to use within excel as most features are straight forward.

    Negative: The only two cons I can think of SPC is that not all major distributions are there for testing any given data, and the histograms feature is not well built to be easily manipulated for different input.

    Read More...
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