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Ratings and Reviews 2 Ratings
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What is esProc Desktop?
esProc Desktop serves as a user-friendly programming language designed specifically for individuals without a programming background, offering a powerful toolkit for data processing and analytics directly on their desktops. This software effectively addresses several challenges, including executing intricate calculations and transformations that Excel can handle, facilitating interactive data analysis across multiple stages that traditional BI tools often fail to manage, and streamlining the repetitive processing of batch files such as XLS and CSV formats through querying, calculating, generating, and converting data. With its intuitive and aesthetically pleasing interface, esProc Desktop empowers non-professional programmers to utilize its full programming capabilities seamlessly, allowing them to navigate and explore data independently while enhancing their analytical skills. Furthermore, the platform's integration with Excel makes it even more accessible for users looking to boost their data handling efficiency.
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.
Integrations Supported
Microsoft 365
Microsoft Excel
Microsoft PowerPoint
Microsoft Word
Integrations Supported
Microsoft 365
Microsoft Excel
Microsoft PowerPoint
Microsoft Word
API Availability
Has API
API Availability
Has API
Pricing Information
$99/user/year
Free Trial Offered?
Free Version
Pricing Information
$329/one-time/user
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Scudata
Date Founded
2000
Company Location
Hong Kong
Company Website
www.scudata.com/esproc-desktop/
Company Facts
Organization Name
BPI Consulting, LLC
Date Founded
1997
Company Location
United States
Company Website
www.spcforexcel.com
Categories and Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Categories and Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Decision Support
Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control
Qualitative Data Analysis
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
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
