Data visualization used to takes lots of time, labors, and costs. Back then, businesses relied on age-old BI tools to visualize data. The BI was so technically complex that, except IT people, no one could properly use it. So they had to hire more developers to run the tool.
All that for a single dashboard that often arrives too late for anyone to use.
This is why more businesses are turning to self-service data analytics tools; ones that not only can automate data visualization, but also offer robust analysis and data exploration.
The tools can work with diverse data sources, pull out only the most relevant datasets, and turn them into beautiful visuals. What's so great about self-service data tools is that they let non-IT users build and customize reporting dashboards on their own, often without any scripting skills or any helps from IT people.