By Cindy Botha | Product/UI Designer, Data Division
We are living in a world of quickly evolving technology. Analytical software for life sciences with poorly designed user interfaces can result in unproductive research and can be time-consuming, tedious, and frustrating. UX (user experience) design holds great potential for scientific software that handles big data.
Imagine having complex data systems but providing software that is slow and hard to use. The best pharmaceutical companies want their scientists and data analysts to have the most effective tools possible.
Life science, as an industry, is vast. Life science and pharmaceutical industries collect and leverage vast amounts of data. The technologies behind these complex data are extremely powerful and getting smarter by the day.
It is sometimes easy to forget that real users will need to handle this information. Interfaces and user experience act as the conduit between technologies and the user. A user-focused approach to understanding users' needs leads to informed decision-making about what data needs to be shown and the best ways to display that information.
Big data will always be complex, but that doesn’t mean user experience must be complex too. UX methodology is a collaborative and iterative process that debilitates innovation to solve a problem. UX design serves to maximize the user's satisfaction when using a product. When creating software, it does not matter how powerful and robust the back-end system and the product data is, if it is rendered by an inaccessible and unintuitive, unengaging UX.
There is work to be done in many areas of big data processing technologies to achieve this goal, but great user experience is one of the critical prerequisites.
Anju Software provides end-to-end software solutions that help customers manage mission-critical pharma processes and turn data into actionable insights. Anju Software also provides user-friendly interfaces that make the data and insights easy to use.
Do you have questions, or would you like to learn how the data visualizations in our data platforms ta-Scan (Clinical Operations, Medical Affairs) and Zephyr (Medical Affairs, Commercial) can help YOUR team? Please contact firstname.lastname@example.org for more information.