Are you aware of people in the IT-Ops domain who use control charts?
There's also quite a few other charting techniques that financiers have been using for decades, such as ohlc/bar/candlestick or point & figure or market profile which all have their place in data visualisations. Combine that with financial charting models (ma, stochastics, etc) can go a long way in determining when things are going great/ pear shaped.
But otherwise a decent article.
https://asq.org/quality-resources/control-chart
This is not process control in the sense of feedback control theory. It refers to using statistics to monitor industrial processes. When people like Deming started promoting industrial quality control, it was their intention to provide very simple tools that any factory worker could use to monitor and improve processes on their own or in small groups. So they favored graphical analysis over sophisticated statistical tests. A basic control chart was easy for anybody to produce.
I knew someone who loved that book and taught corporate workers to throw literally all data into control charts. For instance, instead of doing a t-test, just string out the data in order of the classes and see if the points go outside the lines. I thought it was lazy, but if you're going to have one tool then I guess you could do worse than the control chart.