Essentially, when presenting the results of a data analysis to management, you don’t want anything to distract from the data-driven conclusions you’re trying to convey. telling the story of the data analysis, not of the business problem + relevant insight), or present visuals that are unclear or invite excess scrutiny. Such presentations can easily get derailed when they are not focused, are structured based on methodological considerations (e.g. When presenting to management stakeholders, it’s very important to tell a story that flows logically and unimpeded towards its conclusion. telling a narrative that relies on data analysis and suggests actionable conclusions. This communication is an essential part of the job, and without it, the chances that your data analysis will have any impact are very small.Ī critical aspect of communicating any type of data analysis is story telling, e.g. It’s not easy to bridge the gap between analytics and management, and to ensure that data analysis is properly communicated to business stakeholders. Below, I’ll outline my workflow for making customizable word clouds that you won’t be afraid to show to anyone in your organization! Data Visualization for Management Presentations However, part of my job is providing data analysis and visualizations for senior management, and the basic word cloud approaches one finds straight out-of-the box don’t easily accommodate this use case. There are lots of great text analytics tools in R for this, and the process of making a basic word cloud is very straightforward. In this post, we’ll take a look at a basic text visualization technique we’ve seen elsewhere on this blog: word clouds.