A New Exploratory Data Analysis Approach in Cardiovascular Research (2026-EU-30MP-2770)

Working in a research department involves extensive lab time, conducting different types of experiments and generating plenty of data, e.g., from imaging or flow cytometry. However, data analysis is often time-consuming and unpopular among laboratory technicians. Thus, efficient tools that streamline the path from raw data to meaningful results are required.

While programs like Excel or GraphPad Prism are capable tools for creating publication-quality graphs from prepared data, they often necessitate a fragmented workflow involving separate steps for data cleanup, analysis, and visualization, which increases the risk of errors.

JMP offers a more integrated solution for scientific purposes. Its key advantage lies in its all-in-one, visual environment that allows users to clean, analyze, and visualize data without switching applications or relying on error-prone copy and paste methods. JMPs graphs are interactive tools featuring dynamic linking of data points between tables and plots.

By incorporating JMPs data import, Graph Builder, and workflow tools in our analysis routine, we have significantly reduced analysis time from several hours to minutes, allowing us to spend more time in the lab, thus increasing productivity. JMP helped us to minimize errors and provide more reliable insights, making it an easy and efficient analytical partner within research labs.