[UPBEAT MUSIC] Welcome, everyone to Sandhill Series of Fireside Chats with CDOs, data leaders, key influencers, and thought leaders. I'm your host, Robert Lutton, vice president of Sandhill Consultants. And Sandhill Consultants is a diamond partner of Quest Software, and has been selling and supporting erwin for over the past 30 years.
Today, I have the pleasure of introducing Sue Laine, who is the chief field technology officer for erwin DI at Quest Software. I understand, Sue, that you're not only the voice for clients, but also for partners. And you are a thought leader, yourself. So welcome to our interview.
Thank you, Robert. Really nice to be here today.
It's a pleasure. I know that you're down there in the sweltering heat, and we're doing these fireside chats. So thank you for working with us on this.
We're specifically going to talk today about the erwin Data Intelligence Solution, and specifically a key piece of that, which is the Data Marketplace. So kicking right off the bat and diving right in, we are in a fascinating era of data accessibility. And intelligence is critical for business transformation. In this rapidly evolving landscape, I wonder if you might be able to start by explaining the business problem that erwin Data Marketplace aims to solve.
Certainly, yeah, it's exciting times right now. And the Marketplace is making some really large impacts on new ways of delivering catalogs and data intelligence. The main problem that it solves is delivering reliable data, delivering reliable trusted data, and making it accessible to everybody. So self-serving democratization across the organization, those are the problems that we're trying to solve.
And a little bit from the vendor's perspective, the other problem that we're trying to solve is that catalogs haven't been the easiest to implement. And they never really have been. So end user adoption is key to success. So we really view everything that we do, from a product perspective, to have an impact, to make it a lot easier for end users to govern their data, to produce that reliable data, and just finding new ways to serve that up.
And I love the fact that Quest is really trying to pin down that reliable, trusted data, which is a key aspect of many of our clients that we deal with. I understand that data literacy and data accessibility are often mentioned as crucial benefits of data marketplaces. How does erwin's Data Marketplace enhance these aspects for organizations?
Yeah, another great question. And, honestly, I have seen the Data Marketplace change cultures within the organization. So there's a shift not in just how we support it, but how clients roll out data catalogs. And the Marketplace is at the forefront of that.
So we see the culture changing in new ways by clients starting to really focus on creating data champions within the organization, and harnessing and empowering those data champions with the solution that shows all their savvy data nests, if you will. They have a lot of-- it's a safe place. It's a safe place that you know you can come and get really good, governed, trusted data.
We have this seven steps to maturity, which I know Sandhill knows all about. So when you have these seven certification steps to the data itself, you're able to produce a spot where end users can come and go fishing for that really good data. And what that delivers is peace of mind.
So you can start really working on the things that you want to work on, and have that peace of mind that things are governed, that things are described, that data has been controlled so you have business controls around that data. And you can start focusing on your AI model, focusing on getting the results and the outcomes that you're looking for without having to go back and do so many data forensics. And the Marketplace serves it up in some really new and fun ways, which I know we're going to get to here in a little bit, as well.
Well, good timing, because we've talked about the business problem that data marketplaces solve, in general. We talked about the self-service and democratization that it can deliver peace of mind, things like that. It might be a good time to talk maybe a little bit about the key features that the erwin Data Marketplace brings and makes it stand out from, perhaps, other data market solutions. Any thoughts on that?
Yes, so we look at the Data Marketplace-- some of our clients actually call it a supermarket-- as a front end to the catalog. So it was so impactful, end users are gravitating towards the Marketplace just because the look and feel and capabilities are familiar to them.
So it's very Amazon-like when you're going to shop for data sets and shop for data products. You get a shopping cart. You start to explore those data sets, and understand immediately, do I have any PI information to it? Is it gold, silver or platinum data sets and products, which I know we're going to talk about, as well?
And then you can compare data sets. So you can put data sets up side by side and see where they're the same, see where they're different, see what the intent of that data set was supposed to be, or that new AI model, what the intent of it, what insights you're trying to achieve and what insights you have achieved.
The other aspects that make the Marketplace stand out a little bit differently from other data marketplaces is that there's a new value scoring mechanism. So we're looking at how well-governed the data is. We're looking at how well-liked the data is.
And then we're combining it with the profiling of the data itself to come up with a data score for that data set. End users like that because it's collaborative, and it has all this transparency into how
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