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My name is Kevin McClowry.
I'm the senior director of analytics engineering
at TransUnion and I head up the IT side
of analytics application development.
TransUnion is information for good. It
serves our mission right, so a lot
of people that hear TransUnion think credit reporting agency
and credit scores and things, which is certainly
a very big part of our business, but we're quite a bit more
diversified than that.
So the one thing that, in my role as head
for the IT side of things, is I never want IT to be in the way
so we're really trying to empower our analysts to be
very self-service.
So making things self-service, easy to use, fast.
The new normal is always what we're chasing for speed.
So Dremio really steps in to fill a those gaps where,
previously, we've been using other tools
and just spending a lot of time and energy
maintaining that world rather than trying
to build in a feature sense.
So it's really about time to market and agility
for our analysts is really what it's
bringing to the table for us.
So the project that we're working on where we're using
Dremio, it's--
We've always kind of engaged with our customers
to provide them insights into their own data,
but as the world shifts, we want to empower the analysts
that our--
on our customer sites to do that themselves.
So a lot of that is where our Prama platform comes
into play, where we're letting our customers come
in and explore deep history, large volume data themselves
rather than through requests and phone
calls and stuff like that.
So it's really about enabling our customers
to self serve on the data that we're
chartered to be stewards for.
The space we're working in, the--
overall, it's few petabytes of data
that we're exploring, but individualized--
A lot of it is interactive dashboarding type capabilities.
A lot of those spaces, individual data sets
are many terabytes in size, or there's hundreds of billions
of rows of data, just things that
are really challenging to tackle in traditional technologies.
When we rolled Dremio out initially,
we saw roughly 5X immediate performance lift,
and that was without reflections.
When we started adding reflections,
then it just kept really growing.
So we're really pleased with what
we're seeing, what we've seen so far,
and what we continue to see.
So that's just raw system performance.
And then from the engineering side,
I had entire agile teams devoted to just,
like I said, tuning the machine.
I can now have them working on new feature sets,
new product builds for the company, ongoing.
There's a lot of there's a lot of nice features with Dremio.
Obviously, reflections are huge.
That's really what has inverted this--
If you come from a traditional building an OLAP cube model,
it sort of inverts that and really eases things up
and creates a nice handoff point between IT and the end user.
And then just the other things is just
the roadmap is really nice.
We like what we're seeing.
What's coming out of the team is great.
The quality is exceptional.
So I think what's surprising is the problems we're
solving at TransUnion are the same problems that Dremio is
trying to solve for as a whole.
We're really aligned.
When we talk about things, it's--
There's a back and forth that's like, oh, and we can do this, and we can do that
and we're just bouncing ideas.
I think they're really trying to solve
the challenge of analytics, which
I think a lot of the world is facing right now.
It's not a, I'm your customer feel.
It's very much a, we're in this together.
It's very good partnership from the get-go. [MUSIC PLAYING]