JMP Review
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- What is JMP
- Product Quality Score
- Main Features
- List of Benefits
- Technical Specifications
- Available Integrations
- Customer Support
- Pricing Plans
- Other Popular Software Reviews
What is JMP?
JMP is a go-to application for researchers, data analysts, engineers, and scientists in a wide range of industries. Its data analysis capabilities allow for a comprehensive treatment of complex data that is not visually dull. JMP has an entire suite for statistical discovery. It allows users to notice patterns and extract insights. Complete with data visualization options, reports can be generated easier for faster and more accurate response times. It is being used by many types of professionals today in growing their financial assets, monitoring species, and the creation of greener products. JMP makes doing all of these easier by allowing users to access data from different sources and keeping everything organized in one hub. The quick and accurate data preparation modules also help them save time and conduct their analyses better. Complex relationships can then be mapped to different variables to help users determine existing and possible relationship schemes. Furthermore, these can be easily shared with others. JMP supports web visualizations and comes with an interactive dashboard. Predictive models are very important in virtually all types of industries, enterprises, and organizations. JMP makes predictive analysis easier and more accurate in the sense that it offers users tools to acquire more data-driven actionable insights. There is also a feature where clinical analyses and reports can be streamlined. JMP has a wide range of tools that accommodate organizations and projects of all types from business intelligence to the handling of genomic data.Product Quality Score
JMP features
Main features of JMP are:
- Advanced Computational Statistics
- Automation & Scripting
- Biometrics & Biostatistics
- Clinical Data Analysis
- Consumer & Market Research
- Dat Acquisition
- Data Management & Integrity
- Data Monitoring
- Data Visualization
- Design Of Experiments
- Expression
- Formula Depot & Score Code
- Genomic Data Analysis
- Genomic Selection
- Crop Improvement
- Group, Filter, And Subset Data
- Linkage Mapping
- Mixed Models
- Model Comparison
- Next-Gen Sequencing
- Patient Profiles & Narratives
- Pharmacogenomics
- Predictive Modeling
- Cross-Validation
- Quality & Process Engineering
- Repairable Systems Simulation
- Risk-Based Monitoring
- Share & Communicate Results
- Statistical Genetics
- Text Exploration
JMP Benefits
The main benefits of JMP are its data analysis features, data visualization tools, and business intelligence.
Users get to build models to help them understand their data better through JMP’s predictive modeling tools. Trends, expectations, priors, and weights can be assigned to simulate time sequences to project possible scenarios. This has a wide range of applications and has been in demand in many types of ventures from agriculture to the medical field.
There is also a version of JMP that help users simplify processes of drug development. Review and reporting of clinical trials data can be automated. With summary dashboards, users can easily monitor data and evaluate them. This also helps medical writers in being able to quickly produce patient profiles and narratives for review by internal panels and even corresponding regulatory agencies.
Scientists in the life sciences also benefit from JMP’s advanced genomics data analysis capabilities. Those who work on crops and plant breeds are able to discover new combinations and trait variations. This can help them in the design of more resilient strain of crops. Furthermore, this tool can be used by scientists working on the genetic patterns and underpinnings of drug responses and diseases. There are numerous ways to deploy this particular set of tools for different projects and JMP supports them all.
JMP also helps users in cross-validation where statistical models are refined in ways that they can be used more generally for other samples. The software helps users avoid overfitting and properly differentiate actual patterns from the noise.
Data analysis would almost amount to nothing if it is not properly communicated to other researchers or management. Data-driven reports can now be easily shared using JMP in digestible formats. Trends and patterns can be reported with the aid of data visualization. Furthermore, this can be in a dynamic and interactive way. With the graph builder, visualizations can be manipulated in ways that can help users understand the complex relationships and processes that they represent easier. With the Bubble Plot tool, users can animate data and present them as movies where changes in dimensions over time can be highlighted. With JMP, stories behind the data can be shared more easily.
Technical Specifications
Devices Supported
- Web-based
- iOS
- Android
- Desktop
Customer types
- Small business
- Medium business
- Enterprise
Support Types
- Phone
- Online
JMP Integrations
The following JMP integrations are currently offered by the vendor:
- MATLAB
- R
Video
Customer Support
Pricing Plans
JMP pricing is available in the following plans:
