Daniel Chilcott

So that's kind of one kind of immediate thing that we're already seeing where suddenly just business folks are just able to stand up this thing that is a huge time saver.

It's kind of an ergonomics play, I guess, is a good way to phrase that.

But longer term, you have to think about what kind of requests around data or interpretation of data is it hard for someone in a business non-technical role to solve.

And it's typically those that require trawling through a large amount of data.

And there's maybe two approaches they could take.

One is they could pull massive downloads from their ERP, perhaps of inventory, if they want to do some analysis around that, or the warehouse management system, for example.

They could pull those down as Excel and then run pivots and whatever else.

Many steps, lots of failure points, probably slow to work on large amounts of data.

Or they could try and specify that request, route it through to IT, and then those teams are responsible for doing the same thing, but they're doing it by writing a query onto a database and so on.

But as soon as you've done that, now you've got multiple parties involved.

It's very hard to iterate.

And this, I think, is where there's a big unlock around integration and where we're adding support in Flowgear is it is the way to get into those data sources without you having any technical knowledge of how to do that at scale.

So instead of pulling those data imports, it can just execute the query that needs to run on that system via its API and pull that data and reshape it.

So in the same way that an expert might type a SQL query that's able to pull data from multiple tables and collate it together precisely,

Flowgear is almost like the SQL engine that lets you get to all of the different apps.

And so in the same way that today I've spoken about how you can build apps that pull data in real time from multiple data sources and you can kind of just spin up these apps, an extension of that is

using Flowgear to build workflows on the fly that can answer a question.

And in a similar way to a programmer would have done, you know, building a SQL statement to query a database.

So that's just kind of broadly is where I think the industry is going.

But what this means practically for people is that they will be able to answer more and more sophisticated questions without pulling in a third party.