Research and Development

As an expert in research and development, the need for trustworthy solutions and reliable support are essential. With the power of Minitab, you can confidently analyze experimental data, uncover trends, perform hypothesis testing, assess future product reliability and optimize processes, enabling you to make informed decisions that drive innovation forward at your organization. Learn how Minitab can alleviate some of the most common challenges faced daily in R&D.

Our solutions guide you directly to the tools most used by research and development professionals. Using the R&D module, you’ll be able to describe your data, compare samples to determine whether scientific results are statistically different or statistically equivalent, understand relationships using predictive modeling, design and analyze experiments and assess future product reliability.

With any new project, planning, analysis and implementation is key. For R&D, Minitab Workspace has an exclusive Concept, Design, Optimize and Verify (CDOV) project template designed uniquely for individuals who work in the field. With sixteen relevant tools, you can be confident that you have the power to launch, manage and successfully execute your next big project.

Design of Experiments (DOE), conveniently located within Minitab Statistical Software, can help you identify optimal factor settings and improve the overall reliability and performance of your product. Discover the most influential factors and interactions to save valuable time and resources.

Efficiently analyze failure data to assess product reliability, conduct failure mode analyses and create and analyze accelerated life tests. If you are working with people, not products, use Minitab's survival analysis to compare survivability across patient cohorts.

When you are developing a product or are preparing to manufacture a product, it is important to know the possible defects that could hold up or complicate the manufacturing process. Regression may be your favorite tool but may not always be the best bet. The brief demo below shows how Predictive Analytics was able to solve a problem for a major pharmaceutical company that regression alone could not.