In this moment from the Process Mining Course, Tom Smith and Jean-Patrick “JP” Ascenci of SAP Signavio discuss correlations between data sets and trends. They take a look at an AI assistant’s ability to identify causes for drops in customer satisfaction.
Highlights
00:08 — The tool that JP shows is more traditional than the one he showed previously. It’s like the copilot, an assistant to speak to in natural language. “Why has my customer satisfaction dropped? Tell me, in December, we had a drop. I want to understand more about that.”
00:28 — The AI assistant can show the trend, along with relevant widgets, and answer, “Hey, that is caused because of a specific supplier in the U.S. region.”
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00:40 — Ultimately, if you want more information, you can drill down to get all these different metrics and see the opportunities for improvement. So, it’s not only telling you where you have issues but also detecting how you can improve in ways that have a huge impact on customer satisfaction.