DataMeltjWork.ORG
|
SPC for ExcelBPI Consulting, LLC
|
|||||
Related Products
|
||||||
About
DataMelt (or "DMelt") is an environment for numeric computation, data analysis, data mining, computational statistics, and data visualization. DataMelt can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear and symbolic regression are also available. Neural networks and various data-manipulation methods are integrated using Java API. Elements of symbolic computations using Octave/Matlab scripting are supported.
DataMelt is a computational environment for Java platform. It can be used with different programming languages on different operating systems. Unlike other statistical programs, it is not limited to a single programming language. This software combines the world's most-popular enterprise language, Java, with the most popular scripting language used in data science, such as Jython (Python), Groovy, JRuby.
|
About
SPC for Excel Software simplifies statistical charting and analysis. SPC for Excel helps you identify problem areas, gain insights into your data, spot trends, solve problems and improve processes all in the familiar environment of Excel. Whether you are a seasoned Black Belt or a novice, interested in Lean Six Sigma, Quality or process improvements, this software is for you. Get all the techniques you need for your charting and analysis. Technical support is free and there are no yearly fees. Discounts for multiple users. Site and enterprise licenses are available.
Process Capability analysis - to meet your customer needs
Control Charts and Histograms - to manage your processes
Gage R&R Studies – to validate your measurement system
Problem Solving Tools (Pareto, histogram, scatter, and more) - to help your team solve problems
Advanced Data Analysis Tools (DOE, ANOVA, distribution fitting, regression, hypotheses testing, and more) – to meet your advanced needs.
|
|||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
Audience
scientists, students
|
Audience
Novice to Black Belt. Anyone interested in statistical data analysis, process improvement, Six Sigma, LEAN and quality. SPC for Excel is used world-wide; all industries & education.
|
|||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
$0
Free Version
Free Trial
|
Pricing
$329/one-time/user
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationjWork.ORG
Founded: 2005
United States
datamelt.org
|
Company InformationBPI Consulting, LLC
Founded: 1997
United States
www.spcforexcel.com
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
|
|||||
|
|
|
|||||
|
|
|
|||||
Categories |
Categories |
|||||
Data Analysis Features
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Visualization Features
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Statistical Analysis Features
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization
Artificial Intelligence Features
Chatbot
For eCommerce
For Healthcare
For Sales
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Data Mining Features
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Deep Learning Features
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
|
Data Analysis Features
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Visualization Features
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Statistical Analysis Features
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization
Decision Support Features
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 Features
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 Features
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
|
|||||
Integrations
Apache NetBeans
Eclipse BIRT
Microsoft 365
Microsoft Excel
Microsoft PowerPoint
Microsoft Word
|
Integrations
Apache NetBeans
Eclipse BIRT
Microsoft 365
Microsoft Excel
Microsoft PowerPoint
Microsoft Word
|
|||||
|
|
|