Yeah. Well, making it more accessible or to making self-service are two things. So, in terms of making it more accessible, it is making it beautiful. It's making it easy. It's anticipating the next question. And so that's where the AI comes in, but it's also enabling it at a scale. And so, this is where the cloud ecosystems I think is definitely an industry trend.
Historically, we've had to make design choices because things didn't scale. We had to extract data into small, in-memory cubes, or what have you to get to reasonable performance. And when you look at what some of our partners like Snowflake or Databricks... the performance on the volumes of data that they're getting at, you belgium whatsapp number data can break these legacy processes. And so, now we're giving people more granular data. And, as one CDO said to me, "That's where the money is. That's where the valuable insights are." And for years, data has just been aggregated into dashboards or cubes, because that was state of the art at a point in time.
Tim: Let's do a drilldown. So, on this particular topic, does that mean kind of trying to do less obfuscation?
Cindi:
Well, I don't want to obfuscate anything. I want to make it easy, but then also that you trust it and can explore it. So, what we don't want is the dead end. If I really just want a number, if I want to know what my sales are this month or last month, and that's all I really care about, then make that easy. And that might be, we like to call them live boards rather than dashboards. So, give me that number.
But if that number is not what I had planned, then I'm going to want to drill into it and I'm going to want to get to the lowest level of granularity so I can say, "Wow! That salesperson is doing great. This salesperson in this region for that product is not doing well. Why not? What's going on there? Is it training? Did we have a stockout? What's going on?"
So, start with the high level, but do not have a dead end.
Tim Gasper: Are there other drivers that go with enabling everyday business users in BI?
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