Data Personas – A Fireside Chat

So tell me a little bit about these different personas, because based on the maturity of any organization on how far along they are, uh, with their data governance and their data compliance and, and their ability to use data products or, or, or adopt ai, I think having this personas, having this people in this right roles is, is step number one. So because the role of the different personas is so different, we have not tried to build a platform with a unified interface for all of those different roles. So to us, the data steward will come into the platform and document the, the data.

So it may be that they're responsible for defining the business glossary. What does a customer mean in this organization? What is a certain acronym?

Maybe it's, you know, CLV, it's customer lifetime value. Um, so we need to, um, enable the data steward to do their job as simply as possible. And we've got the data studio for that.

So the data steward lives in the studio. Then we've got the business user and the business user would get completely lost in the studio. So we've got the data explorer, and that's a very simple, uh, shopping experience similar to Amazon, where you enter what it is that you're looking for and it'll identify all of your best matches.

And it does a ranking and, and a waiting, it'll say, surface those best matches. And then you can choose from those matches exactly what it is that the business user needs. So simplifying those interfaces and having purpose-built interfaces for the different roles is something that was very important to us, and it's something that customers appreciate.

Keeping it simple when data can be very messy and and very complicated is something that they greatly appreciate.