Podcast excerpt where Ahmed Elsamadisi (guest) describes Narrator.ai’s approach to customer event data: standardizing event rows into human-readable timelines, exposing raw data, and enabling drill-down into individual customer journeys to validate definitions and assembly. Emphasizes that poor-quality data can be worse than no data and highlights transparency and iterative refinement as core product benefits.
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Data is one of those fields that everybody's talking about, and everyone is trying to sell you something. So even me, I'm trying to tell you something. But the first thing about data is a lot of misinformation. And everyone is trying to say, use data. I have this really interesting view where using data that is bad is pretty much way worse than using. Than not using data at all. So we allow people to. We standardize all of data into a simple format that humans can understand, which is your customers doing stuff in time at any given row of data. When you're kind of assembling your data to try to think about this funnel, we show you all the raw data and allow you to zoom in on any single row and see exactly what that customer did in time. It allows you to control what you're actually getting and get that transparency. So you're able to look at some piece of data and say, how is this actually defined and how it's assembled? With one click, you can see that you can dive into example journeys to fully understand what the customer really did, and you can refine and iterate. So that's kind of the two. A couple of things that narrator does to really empower you to understand your data. It.
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