Data Visualization
Our team is committed to utilizing the latest open source technologies to ensure our clients have access to the most efficient and cost-effective solutions for their data visualization needs
Our Go-to Analytics Tools for Data Visualization
We use advanced analytics tools like R Shiny and Spotfire to create interactive visualizations that provide actionable insights for clinical trial data. Our commitment to utilize the latest technologies ensures cost-effective and efficient solutions for data visualization needs.
R Shiny
We have extensive experience with R Shiny to create interactive dashboards, reports, and data exploration tools, which allows real-time data analysis and visualization for clients.
Spotfire
Our Spotfire services provide a powerful analytics platform for creating interactive visualizations and dashboards, allowing clients to gain quick insights from their data and make informed decisions.
Other Analytics Tools in Our Arsenal
We have experience with a variety of other analytics tools and platforms, including Tableau, Power BI, and Python-based tools such as Plotly and Bokeh.
Tableau
Transform data into interactive visualizations for informed decision-making
Power BI
Microsoft's business analytics tool for interactive data visualization and insights
Plotly
Interactive graphing library for creating dynamic, shareable visualizations in Python
Bokeh
Python interactive visualization library for creating captivating, interactive plots effortlessly
We also leverage the CDISC open source Alliance (COSA) project directory and pharmaverse.org to stay up-to-date with the latest open source solutions and integrate them into our offerings.
“A picture is worth a thousand words”
The traditional approach was to “look” at the static output without giving end users an ability to explore and drill-down further. With the availability of our data visualization services and analytic tools such as R Shiny and TIBCO Spotfire®, our users will be able to “see” their data more interactively, identify trends, visualize the patient profiles and review results at a high-level while still being able to drill-down to get a complete picture.
