A: Specific technology, either used alone or as part of multiple solutions offered by a vendor, is used to visualize data.
Data visualization is a layer in a technology stack. You start with the data collection or warehousing layer. After that, you've got the data transformation layer, where you take the collected data and give it shape and meaning, and then put it in a usable format. The data analysis layer is where you're actually slicing and dicing and pivoting data tables, and then the visualization layer is what sits on top.
Every layer has a set of vendors that provides technology for it. And companies like Adobe, Oracle, and Salesforce provide multiple solutions up and down the entire tech stack. For example, Adobe offers Adobe Experience Platform as the data warehousing component, Adobe Analytics as the data interrogation component, and then Analysis Workspace, which is part of Adobe Analytics, as the visualization component.
Typically, in the industry, you'll see a data lake used in combination with an analytics solution like Google BigQuery or Azure from Microsoft. At the top of the stack, businesses will use something like Power BI as the data visualization component. Within the stack, you have solutions like Domo and Tableau.