This is a lazy and meaninglessly generalized list, like a "30 Best Languages for Programming" list. Why are the tools here "best"? Because they make attractive visualizations? Because they are easy to use? Because they are most flexible with data inputs?

I guess the buzzwordy-barely-English summary should have been evidence enough that this is clickbait:

> Technologies such as the ones profiled below are helping to reshape the insights function through making data exploration more accessible to users who lack the knowledge and are not trained as data scientists.