Best Data Visualization Software for JMP Statistical Software

Our namesake product, Minitab Statistical Software, leads the way in data analysis with the power to visualize, analyze and harness your data to gain insights and solve your toughest challenges. Access trusted, proven and modern analytics combined with dynamic visualizations to empower you and your decisions. The latest version of Minitab Statistical Software includes access to Minitab on the cloud so you can analyze from anywhere, and Graph Builder, our new interactive tool to instantly create multiple graph options at once. Minitab offers modules for Predictive Analytics and Healthcare to boost your analytics even further. Available in 8 languages: English, Chinese, French, German, Japanese, Korean, Spanish, and Portuguese. For 50 years, Minitab has helped thousands of companies and institutions spot trends, solve problems, and discover valuable insights in their data through our comprehensive, best-in-class suite of data analysis and process improvement tools.

MATLAB®, a combination of a desktop environment for iterative analysis, design processes, and a programming language that expresses matrix or array mathematics directly, is MATLAB®. It also includes the Live Editor, which allows you to create scripts that combine output, code, and formatted text in an executable notebook. MATLAB toolboxes have been professionally developed, tested and documented. MATLAB apps allow you to see how different algorithms interact with your data. You can repeat the process until you get the results you desire. Then, MATLAB will automatically generate a program to replicate or automate your work. With minor code changes, you can scale your analyses to run on GPUs, clusters, and clouds. You don't need to rewrite any code or learn big-data programming and other out-of-memory methods. Convert MATLAB algorithms automatically to C/C++ and HDL to run on your embedded processor/FPGA/ASIC. Simulink works with MATLAB to support Model-Based Design.

Access, explore, and prepare data while discovering new patterns and trends. SAS Visual Data Science allows you to create and share interactive visualizations and reports using a single interface. It uses machine learning, text analysis, and econometrics to improve forecasting and optimization. Additionally, it registers SAS and open source models within projects and as standalone models. Visualize your data and find relevant relationships. You can create and share interactive dashboards and reports, and use self service analytics to quickly assess possible outcomes for better, data-driven decisions. This solution runs in SAS®, Viya®. It allows you to explore data and create or adjust predictive analytical models. Analysts, statisticians, data scientists, and analysts can work together to refine and refine models for each group or segment, allowing them to make informed decisions.

A powerful, yet simple-to-use package for accessing, manipulating and analyzing information. Now available for cloud or on-site deployment. Why combine niche software packages from different vendors. A consolidated portfolio, which includes three of our most popular products (Base SAS, SAS/STAT, and SAS/GRAPH), reduces licensing, maintenance, and training costs, while providing consistent information across your enterprise. SAS statistical procedures are continuously updated to reflect the most recent advances in statistical methodology. Technical support is provided by highly qualified statisticians at master's and doctorate levels. This allows them to provide a level of service that is not possible with other software vendors. SAS has over four decades of experience in developing statistical analysis software that organizations around world rely upon to provide accurate answers for data questions.

A low-code visual interface allows you to create and deploy natural language chatbots. You can access data, reports, visualizations, and text responses. You can even apply analytics and AI using a natural language, conversational interface. You can connect to external services or configure bots within SAS to get more insights. Sending a message is all it takes to get insights from your data. Using suggestions and clearly identified related actions, you can quickly spot important relationships within your data. Machine learning and natural language explanations can be used to create stories and insights that are simple to understand and explain. Examine all options, find the reasons for what happened, and discover hidden opportunities in your data. Automately highlight key relationships, outliers and clusters to uncover vital insights that can inspire action.