Demonstrating return on investment is much easier in some parts of the business than in others. In business development, for example, it’s much easier to prove that allocating additional sales resources or tools can directly lead to an increase in quantifiable revenue, which is then factored into a clean-cut ROI formula.
Big data is just what it sounds like; data so big that it’s not easily processed through conventional methods. However, once this large data set is eventually distilled down, user experience can play a huge role in making sense of the reports and leading the charge for user-centered solutions.
User experience (UX) is the bridge between big data analytics and the end user. The richness of big data being collected by all types of companies has unleashed a treasure trove of information for user experience designers. UX designers can create more robust solutions for users by analyzing these enormous data sets.
Data visualization is a form of visual communication where data is presented in a pictorial or graphical format. By presenting complex data sets in a visual way, people can comprehend and analyze the information set faster and more clearly.