WEBVTT

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This file was generated by Descript 

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CJ: All right, well, we're out.

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We're rolling now.

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Duke: How many episodes?

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Almost a hundred episodes and
we still can't get this right.

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CJ: Oh, man.

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Duke: All right, Corey, what
are we talking about today?

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CJ: Special episode today, Duke.

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Today we have some awesome
people here from one of our

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favorite companies, Vivid Charts.

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Duke: Vividcharts is one
of my favorite companies.

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I had an awesome two years there helping
them set up, , one of my favorite

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apps in the ServiceNow ecosystem.

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I just can't wait to dig into this.

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, with this on this episode, we have Rob
Walsh, co founder and Ashley McGill.

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Chief Marketing Officer.

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What a treat.

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Welcome guys.

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Ashley M: Hey, so pumped to be here.

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Rob W: Yeah, thanks for having us.

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We're really pumped.

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Duke: All right.

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For those in the audience that haven't
necessarily heard of VividCharts,

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Rob, why don't you, why don't you
tell us what VividCharts is all about?

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Rob W: Yeah.

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So vivid charts is an in platform
application on the ServiceNow store,

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and we specialize in automated
operational reporting directly

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out of the ServiceNow platform.

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So it's a very horizontal app.

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We've got use cases across the board,
but at the end of the day, what

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we try and focus on is looking at
reporting as an end and workflow.

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Right.

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Service now provides
reporting out of the platform.

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They provide great analytics capabilities.

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But since we launched in 2018, we really
found there are certain constraints

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that prevent customers from really
getting an end to end automated report.

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porting workflow, and that's what
we focus our application around.

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CJ: End to end reporting workflow.

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Good.

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Go ahead.

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Elaborate a little bit
more on that one, Rob.

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I think having spoken to you about
it before, I think it'd be really,

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good information for an audience.

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Rob W: Yeah.

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If you think about when a customer
buys into the ServiceNow platform, the

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single platform approach, single data
model, they're going to have such a

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wide variety of apps and data types
and workflows running through the

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platform at any given point in time.

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A part of that vision when they're
buying into that platform approach is the

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promise of visibility and transparency
to executives, stakeholders, external

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customers, many, many different personas
throughout the organization, right?

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And across all these different personas,
You're going to run into many different

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preferences, expectations, data needs,
and expectations around the types

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of reports they're interested in,
what they should look and feel like,

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and how they're delivered to them.

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And so when you start to unpack that and
talk with customers, you start to hit

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some pretty real constraints in achieving,
satisfying that wide range of stakeholder

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expectations out of the platform.

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So again, while ServiceNow provides great
reporting and analytics capabilities

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in the platform, there are so many
situations where customers are having

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operational reviews, talking about
data and analytics in meetings, and

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They don't have the data types and the
report types that they need to actually

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facilitate these different interactions.

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So what VividCharts focuses on
is identifying these constraints.

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mapping them to operational scenarios
where you're presenting data, you're

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discussing data, you're distributing
data and providing new visuals and

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report types that close that end to
end reporting workflow, not just self

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service dashboards that you can click
around and interact with on your own.

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Duke: Hey, Rob, I'm wondering if you
could like getting to brass tacks, who

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hurts the most for not having vivid charts
and how would they express that pain?

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And

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Rob W: Yeah.

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I think there's two lenses
to look at that question.

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There is who is actually
creating the reports, right?

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And what hurts for them.

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And who's receiving the reports
and what hurts for that.

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So if you think about who's receiving
the reports, they're probably delivering

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a set of expectations, questions
they want answers to, key strategic

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outcomes they're driving towards,
and they want reports and data.

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To back them up in that process, right?

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How do we drive towards these outcomes?

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We want these questions answered, right?

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So give me data and reporting
that helps us with that, right?

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So that takes us to the report
builders who have to figure out

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a way to make that happen, right?

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And when you start to hit the constraints
and trying to figure out what are the

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best ways we can deliver on that set
of requirements for the end audience,

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that's where it starts to get pretty
painful where If you have a set of

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requirements that you can't achieve in
the ServiceNow platform, where do we go?

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We go to places like Excel,
PowerPoint that are easy to wield,

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their tools we're familiar with.

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So we have a lot of flexibility
there and we can maybe deliver on the

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requirements, but it takes an immense
amount of work and exploration to

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actually put it all together, right?

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And if you achieve that in Excel,
in PowerPoint, you might have

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just signed up for that chore to
take place on a monthly basis.

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If that audience wants
it every single month.

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So there's pain on the receiving side
where they have to wait until that report

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builder or data analyst can actually put.

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what they're asking for together, right?

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And they want to make decisions on demand.

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And then there's pain in who is actually
going out and figuring out how do we

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deliver on this set of requirements?

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And that's the time suck, right?

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So if you, you know, look at an automated
end and reporting workflow, if we can

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make that process easier for the builder,
allow them to deliver on the requirements

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in a quicker, more efficient way.

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But also have it in platform so
that once they built it, it's there

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on demand in an automated fashion.

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Whenever that audience wants it, that's
what I talk, or that's what I mean.

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When I say end to end reporting workflow,
we automate that manual work for the

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builder and then make it available
on demand for that, the end customer.

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Duke: Do you mind if I just
give an example from my time at

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Rob W: I'd love that.

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Duke: VividCharts?

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Okay, so it's like getting
right to specifics.

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, I remember I worked in ITBM consulting,
or SPM now, I guess, project and

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portfolio management for a couple of
years before I started VividCharts.

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And I just remember how much crazy work
it was to do project status reports.

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And we know that there's a project
status report tool in service now.

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And it's...

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You know, it's okay, but
that's the hard limit.

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Um, it's okay.

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It's all right.

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Right.

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Sorry, but I'm not waking
up early to play with it.

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And so what happens is the project
managers typically like run a bunch

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of separate reports in service now,
and then copy and paste those into

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PowerPoint so that they can put their
own branding and stuff around it.

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And , you can't understate the branding
because some of these PMOs are talking

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to people outside the organization.

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And what is it going to
look like to see this?

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You know, I mean that the whole like,
okay, service now interface for the

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project status report, which is a
definitive bias for internal stakeholders.

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So the problem was the right kind
of data wasn't on the immutable

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service now project status,

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CJ: talking

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Duke: it.

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So you couldn't show it
outside the organization.

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What a waste of time for the
people who actually reported

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outside of the organization.

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So with vivid charts, they built a
solution using all the VividCharts

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components, nothing super special,
to basically make a fully brandable,

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configurable project status report.

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And it was awesome!

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I don't know if I could ask how much of
the sales pipeline is that thing alone,

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Rob, but it was really successful.

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But it goes to just underscore
how good the app is.

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Rob W: Yeah.

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I mean, if you look at the pipeline
project status is a big component

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within that, but what's interesting
about what's happened since we've.

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You know, we took that use case, right?

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Exactly how you described.

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You get a precision control
over the data points that you

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want on your status report.

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You get precision control over
the aesthetics and branding.

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So it matches your corporate standard.

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And then you can automate and distribute
in a way that makes sense for whoever

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you're serving it up for, right?

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If it's C suite, or if they're outside
of the organization, like you mentioned.

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And what's interesting after we,
you know, started rolling that

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use case out with different PMOs.

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We started to get a pretty natural
set of questions around applying

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that same concept, but across
many other record types, right?

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So within SPM, you've got
program status reporting.

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You've got demands that you might want to
summarize in a very concise business case

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format that's easy to review and discuss.

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You might have portfolio
steering committees that

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are meeting and looking at.

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Both single project status reports,
but also need aggregate level portfolio

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information in the presentation.

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So it's really organically grown where
we've taken that concept, applied it to

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different record types, and then also
combined it with some of the other report

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types we do for automated slide decks and
dashboarding to really give PMOs and ITSM

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teams and other teams in the platform.

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A wide range of reporting tools to
meet these many different expectations

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that they have from stakeholders.

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Ashley M: Yeah.

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And if I could add a little bit
to what Rob just said, I love the

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portfolio steering committee deck.

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, use case specifically, because at some
of these large companies, leveraging

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service now, you know, enterprise
companies, leveraging service.

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Now, they can have 5, 6, 7 upwards
of that steering committees that meet

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every month and each of those decks
needs to look slightly different.

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Each of this.

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Those who

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are reporting out portfolio.

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Sometimes it's the same portfolio,
but they have a different set

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of, stakeholders who need to see
different types of information.

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And the expectation is that it's all
going to be in a slide deck, right?

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Some of those stakeholders who
need that information may not

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be in service now regularly.

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They may be unfamiliar with how to
build reports with how to navigate it.

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And ultimately, those
people want to consume that

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information in a presentation.

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And so the ability to automate that
slide editor, that slide UI directly

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in the platform and eliminate the
need of exporting information external

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to the platform only to manipulate.

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For additional chart types in Excel
or actually spend time formatting

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those PowerPoints, those portfolio
managers, those program managers can

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spend more time actually managing
what matters, which is their projects.

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Right.

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And build better business outcomes,
but still ensure that the organization

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is getting the information they
need in a timely and sort of

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aesthetically pleasing manner.

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Yeah.

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CJ: Silence.

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Ashley M: You spend a lot of time
formatting slides, you know, and

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it's been accepted for a long time.

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And I think that the, the turning
point for companies that are

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paying the amount of money they
pay to have these giant service.

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Now, instances, if you are spending all of
that time, making sure that your data is.

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Up to date and correct and service.

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Now, shouldn't the reward be automatic
slide deck creation with that data?

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Once you've taken the time to
set up the template, obviously,

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I mean, I certainly think so.

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We shouldn't be asking them to swivel
chair into multiple different programs

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to get that presentation that they need.

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CJ: Amen.

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The first thing that catches my, ear
when I've listened to both now, , you and

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Ashley is the end platform aspect of this.

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And, like Rob, paint on slides, I peened
when you said reduced time in Excel.

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Because the Excel is not my
favorite, place to spend my time.

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And like you mentioned, , if you're able
to recapture that time and spend more of

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it in service now, not only does it, help
you and your reporting aspects and your

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dashboard and things of that nature, but,
, having clean data and service now helps

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drive all your processes in the right way.

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Rob W: Yeah, absolutely.

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And the clean data is a really important
point to call out on that, Corey.

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And when we think about automating
presentation or reporting outputs, it

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creates a much better and more aligned
incentive to keep the data up to date

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and current in the platform, right?

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If you're a project manager out there,
and you're having to produce your query.

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Report that you're needing for
stakeholders off of the platform.

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It's a, it's an incentive problem.

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You might not go in and actually
update the data in service.

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Now you might forget to do it
or just neglect it altogether.

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So when you automate that output from
the system, you actually incentivize

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adoption of the platform, the processes
and good data quality as a result.

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, CJ: absolutely.

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If you make, , getting the value
contingent on,  the data being

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clean and service now, right?

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Like, all of a sudden, you notice that
more people are using service now, and

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that's the, that's 1 of the ultimate,
, outcomes that you want out of any

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service now, , implementation anyway.

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So vivid charts is.

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Really kind of that the situation where
you can sometimes look at it as  the end

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of the pipeline, the presentation to to
management part of the pipeline, but it's

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really driving the very beginning of the
pipeline to write like the use of service.

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Now, the clean data,  the more
time spent there and less time

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spent than other applications.

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You guys have

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Rob W: Yeah, absolutely.

00:14:09.497 --> 00:14:09.897
And I'll.

00:14:10.182 --> 00:14:14.942
I'll, I'll tee the Duke up on this
one,  I know he preaches outcomes

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and we talks about reporting.

00:14:16.742 --> 00:14:21.552
He's really upfront about when you're
building a reporting program, right?

00:14:21.612 --> 00:14:23.352
Put outcomes at the front of it.

00:14:23.362 --> 00:14:25.472
What questions do you want it to answer?

00:14:25.932 --> 00:14:29.912
And when you get very
prescriptive on that piece.

00:14:30.492 --> 00:14:33.432
That's where we tie in our
automated operational reporting.

00:14:33.432 --> 00:14:36.692
If we know the questions we want
answered, we know the precise

00:14:36.692 --> 00:14:38.932
data points format of the report.

00:14:38.932 --> 00:14:40.022
We want generated.

00:14:40.782 --> 00:14:45.602
That's where you get a lot of power out
of the automation and it's aligned to the,

00:14:45.672 --> 00:14:48.842
you know, the key outcomes and decisions
you want to drive in the process.

00:14:48.852 --> 00:14:50.676
So, Robert, I think.

00:14:51.127 --> 00:14:54.857
In our conversations in the past,
that's been a consistent theme, and

00:14:54.917 --> 00:14:57.587
I think it's only proven more true
the more,  we've put VividCharts

00:14:57.937 --> 00:14:59.637
out there in different use cases.

00:15:00.162 --> 00:15:03.732
Duke: Most definitely, like, in my
mind, there's, there's really 3 things

00:15:03.732 --> 00:15:07.237
that Personas that do reporting right?

00:15:07.337 --> 00:15:11.537
And when you think about when
somebody buys any feature in service

00:15:11.537 --> 00:15:16.827
now, it's usually some top end
stakeholder who is the buyer, right?

00:15:16.857 --> 00:15:18.037
And they make the decisions.

00:15:18.037 --> 00:15:22.027
But that person is rarely
like in service now, right?

00:15:22.027 --> 00:15:25.492
They pass it down to somebody more
operational to a get the deployment

00:15:25.492 --> 00:15:27.007
done and then be do the work.

00:15:27.787 --> 00:15:32.127
And so most of the reports that we
see are for what I call operators

00:15:33.857 --> 00:15:35.827
and operators are the people who you.

00:15:36.192 --> 00:15:39.902
do the work and they just need to know
what's the next best thing for me to

00:15:39.902 --> 00:15:41.922
work on for this process to succeed.

00:15:42.558 --> 00:15:45.678
They aren't looking at the big picture,
you know, the big, you know, the big

00:15:45.678 --> 00:15:48.318
line graph that should move up or
down depending on our preferences.

00:15:48.328 --> 00:15:50.528
They're just looking at
what's the next best task.

00:15:51.448 --> 00:15:54.688
And then sometimes you have an
analyst layer in there that says,

00:15:55.028 --> 00:15:56.838
are we or aren't we getting closer?

00:15:57.068 --> 00:16:01.408
But it rarely goes all the way up
to what I call the stakeholder.

00:16:02.303 --> 00:16:09.203
And like the person who's going to make
decisions based off of the outcomes

00:16:09.203 --> 00:16:12.263
that we should be reporting on, right?

00:16:12.323 --> 00:16:15.553
We have these indicators moving
up, these indicators moving down.

00:16:15.693 --> 00:16:20.153
How shall we spend our very
limited managerial energies?

00:16:20.878 --> 00:16:22.638
We can't just say move everything up.

00:16:22.728 --> 00:16:23.488
We can't do that.

00:16:23.998 --> 00:16:26.228
We have to be judicious with our energy.

00:16:26.828 --> 00:16:32.098
And the one thing I always loved
about VividCharts was that finally

00:16:32.098 --> 00:16:36.978
that stakeholder layer has a
reason to be in service now.

00:16:37.412 --> 00:16:39.822
The PA dashboards are way too difficult.

00:16:39.832 --> 00:16:42.172
They're way too mechanically in depth.

00:16:42.502 --> 00:16:49.202
VividCharts can give them a simplified,
branded, interface that's way easier

00:16:49.202 --> 00:16:53.692
to build using the same kind of PA
components, the same ServiceNow data,

00:16:53.992 --> 00:16:57.852
and they can have it on their desk
whenever you want, even in slideshow form.

00:16:57.862 --> 00:17:00.212
Sorry, I totally ranted on you.

00:17:01.437 --> 00:17:02.267
Rob W: It was a great rant.

00:17:02.267 --> 00:17:03.267
I'm glad you did.

00:17:03.337 --> 00:17:08.407
And I think everything
you're outlining is so true.

00:17:08.407 --> 00:17:10.987
And what we hear with customers
on a weekly basis as we're

00:17:10.987 --> 00:17:12.207
talking with them, right?

00:17:12.577 --> 00:17:15.287
We've talked a lot about
different personas, different

00:17:15.287 --> 00:17:19.297
stakeholders, and that comes with
different expectations and needs.

00:17:19.407 --> 00:17:23.166
So while ServiceNow again
provides really great Thank you.

00:17:23.357 --> 00:17:28.787
Operational reporting analytics solutions
where you can go in depth layer into

00:17:28.787 --> 00:17:34.167
layer of the data when you got to surface
that up and really tell a story with it.

00:17:34.237 --> 00:17:38.537
That's the gap and that's where
vivid charts being in the service now

00:17:38.537 --> 00:17:42.717
platform become so powerful because we
can get to all of that data, whether

00:17:42.717 --> 00:17:46.487
it's standard table data, whether
it's performance analytics data.

00:17:46.787 --> 00:17:47.057
Right.

00:17:47.057 --> 00:17:51.847
We can get to all of that data, but
put the nice polished front end to it

00:17:52.067 --> 00:17:54.087
that suits these different audiences.

00:17:55.332 --> 00:17:59.412
Ashley M: And another point this brings
up for me, as we talk about this is we

00:17:59.432 --> 00:18:01.502
push this idea of freeing your service.

00:18:01.502 --> 00:18:03.992
Now, data democratizing your service.

00:18:04.012 --> 00:18:04.672
Now, data.

00:18:05.012 --> 00:18:08.622
You shouldn't have to go through a
bottleneck or a funnel of operators

00:18:08.672 --> 00:18:12.412
who have to build reports on demand
for you, or, you know, you're only

00:18:12.412 --> 00:18:13.852
seeing that information monthly.

00:18:14.202 --> 00:18:16.722
Because that's when something's
being exported from the platform and

00:18:16.742 --> 00:18:19.962
being served up to decision makers,
you actually now have the ability

00:18:19.962 --> 00:18:23.542
to make decisions in real time
because you always have access to it.

00:18:23.792 --> 00:18:28.932
And to your point, Rob, in a platform in
a digestible format, such as a slide deck,

00:18:29.032 --> 00:18:30.732
, while still driving people to service now.

00:18:30.888 --> 00:18:33.078
CJ: I'll tell you , what I just
loved about what you just said.

00:18:33.148 --> 00:18:35.298
, so make decisions in real time, right?

00:18:35.308 --> 00:18:37.648
Due to , having constant
access to that data.

00:18:37.778 --> 00:18:40.748
When I'm working with my clients,
1 of the things that is always.

00:18:41.243 --> 00:18:45.903
, the struggle,  is helping management
make those real time decisions

00:18:46.343 --> 00:18:49.613
often because the data that
they're working with is old, right?

00:18:49.663 --> 00:18:53.473
Like we've mentioned, right, , somebody's
exported it to excel and now they're doing

00:18:53.473 --> 00:18:57.803
some kind of manipulation or someone's
exported it and they've taken the data

00:18:57.803 --> 00:18:59.083
and doing something in PowerPoint.

00:18:59.313 --> 00:19:02.633
And by the time it works its way
through all the different layers of

00:19:02.903 --> 00:19:06.553
management and gets to whatever meeting
that is going to be presented in.

00:19:06.908 --> 00:19:09.678
It's weeks old typically, right?

00:19:09.868 --> 00:19:13.648
And so you don't even know now if
you're making the decision based on

00:19:13.648 --> 00:19:18.038
what is now, you only know that you're
making a decision about  a snapshot

00:19:18.038 --> 00:19:21.588
in time that might no longer be
relevant, you know, and that's extremely

00:19:21.788 --> 00:19:24.438
important when you're doing resource
management and you're thinking about,

00:19:24.688 --> 00:19:26.268
okay, how do I knock this Q down?

00:19:26.438 --> 00:19:26.688
Right?

00:19:26.688 --> 00:19:29.428
Like, do I have You know,
a little bit more budget.

00:19:29.428 --> 00:19:33.928
Do I bring in more people so that we can
, knock down this backlog or,  something

00:19:33.928 --> 00:19:37.668
else, but the backlog might already
be gone by the time you're reviewing

00:19:37.718 --> 00:19:39.538
, that data with, , vivid charts, right?

00:19:39.538 --> 00:19:41.128
Like that , gets rid of that process.

00:19:41.128 --> 00:19:42.618
You always know where you are.

00:19:43.153 --> 00:19:44.213
Ashley M: Yeah, absolutely.

00:19:44.213 --> 00:19:47.653
And that we talk a lot about
enabling agile, what I call

00:19:47.683 --> 00:19:49.293
agile strategic planning.

00:19:49.293 --> 00:19:52.343
It's been a buzzword in the
digital transformation world

00:19:52.343 --> 00:19:53.433
for a couple of years now.

00:19:53.783 --> 00:19:57.353
And so this idea that an annual
planning model, an annual strategy

00:19:57.353 --> 00:19:59.013
planning model is outdated.

00:19:59.063 --> 00:20:01.323
And if you can't be more nimble
than that, you're not going to

00:20:01.323 --> 00:20:02.943
win in the marketplace anymore.

00:20:03.303 --> 00:20:07.293
So why are we always reporting
on and consuming stale data?

00:20:07.363 --> 00:20:11.073
If the idea is to get to the root of
the problem as quickly as possible, you

00:20:11.073 --> 00:20:14.303
brought up resource management, which
I think is super important as well.

00:20:14.563 --> 00:20:17.773
It's hard enough to manage resources,
especially at a large company, when

00:20:17.773 --> 00:20:19.453
you're looking at stale data all the time.

00:20:19.463 --> 00:20:23.393
So all these things lead back
to the ability to promote agile

00:20:23.403 --> 00:20:26.213
planning within your organization
and be as nimble as possible.

00:20:26.528 --> 00:20:27.288
CJ: Absolutely.

00:20:27.602 --> 00:20:30.882
Duke: So a little earlier, we talked
about, that the personas of reporting

00:20:30.882 --> 00:20:33.972
and my model for doing reporting,
but I think that is interesting

00:20:33.972 --> 00:20:37.452
segue to some really, cool event.

00:20:37.452 --> 00:20:40.832
, that vivid charts has coming up,
, actually, , you want to talk to us

00:20:40.892 --> 00:20:42.622
about the upcoming digital conference?

00:20:43.020 --> 00:20:44.010
Ashley M: Yeah, definitely.

00:20:44.070 --> 00:20:46.840
I can take the beginning of that
so we have a digital conference

00:20:46.860 --> 00:20:50.750
coming up on October 12th next
Thursday, , called real time.

00:20:50.800 --> 00:20:55.380
, the idea is that exactly what we've just
been talking about our goal as vivid

00:20:55.380 --> 00:20:59.390
charts as a company, our mission statement
really is to bring people as close to

00:20:59.390 --> 00:21:01.210
their service now data as possible.

00:21:01.390 --> 00:21:02.430
You were getting updates.

00:21:02.815 --> 00:21:07.575
Your reports to your data to your
decision making in real time as soon as

00:21:07.595 --> 00:21:12.845
that data is live in service now, and
you've refreshed your reporting outlook.

00:21:13.045 --> 00:21:15.255
You can instantly see
that data in a format.

00:21:15.295 --> 00:21:19.125
That's been built for you by your
report builders in the organization.

00:21:19.530 --> 00:21:24.960
We have been thrilled with the
willingness of people in the ServiceNow

00:21:24.960 --> 00:21:28.500
community to participate in this and
to come and speak on our behalf on

00:21:28.500 --> 00:21:32.880
the importance of reporting , data
visualizations, how people consume

00:21:32.880 --> 00:21:34.820
information that comes out of ServiceNow.

00:21:35.630 --> 00:21:38.720
So we've got a couple independent
experts like yourself, , that

00:21:38.720 --> 00:21:39.880
we're really excited to have.

00:21:39.880 --> 00:21:42.860
And I would love if you talk about your
session a little bit when I'm done, we've

00:21:42.860 --> 00:21:44.970
got two ServiceNow product managers.

00:21:45.305 --> 00:21:49.885
Who specialize in process mining and
analytics to come speak about those.

00:21:49.935 --> 00:21:53.715
, and we have four customer stories for
people who have taken vivid charts

00:21:53.725 --> 00:21:58.505
in a variety of different functional
areas and really seen a huge upswing

00:21:58.515 --> 00:22:00.015
in the amount of productivity and.

00:22:00.165 --> 00:22:04.165
Efficiency that they see in those areas
that they've automated that reporting.

00:22:04.445 --> 00:22:06.385
You free up so many resource hours.

00:22:06.415 --> 00:22:09.005
In fact, we have some really
great resource calculators.

00:22:09.005 --> 00:22:13.035
If anybody's interested in exactly
how many resource hours and what

00:22:13.035 --> 00:22:17.275
that translates to into cost
resource costs at the end of

00:22:17.275 --> 00:22:18.635
the year that you're reclaiming.

00:22:18.655 --> 00:22:19.825
And these are not small numbers.

00:22:20.255 --> 00:22:22.565
These are numbers in the
hundreds of thousands up to a

00:22:22.565 --> 00:22:23.815
million dollars a year, right?

00:22:23.845 --> 00:22:28.205
In resource you're saving by automating
that reporting so people can get back

00:22:28.205 --> 00:22:29.665
to the business of driving results.

00:22:30.285 --> 00:22:32.285
That's what next week's
conference is all about.

00:22:32.305 --> 00:22:36.725
It's all about building that ServiceNow
community around data and analytics

00:22:36.725 --> 00:22:40.755
and why it's so important, highlighting
obviously the areas that ViviCharps helps

00:22:40.755 --> 00:22:44.645
people accomplish those goals, but then
also creating a network of people who

00:22:44.645 --> 00:22:48.635
are willing to share and educate, right,
and sort of move the process forward.

00:22:49.560 --> 00:22:50.600
Duke: Cori said the M word.

00:22:51.777 --> 00:22:52.347
Millions,

00:22:52.672 --> 00:22:58.502
CJ: Yeah, yeah, oh, I'm sorry, yes,
, this is a huge, huge, I like, I don't

00:22:58.512 --> 00:23:00.842
understand why, yeah, it's crazy, right?

00:23:00.842 --> 00:23:04.952
Like , why, um, I can't understand
why, not everyone, , is actually

00:23:04.962 --> 00:23:06.442
subscribed here to vivid charts, right?

00:23:06.442 --> 00:23:08.412
Because , when you start
to think about it, right.

00:23:08.442 --> 00:23:12.052
And everything you just said  that
value, that recap, recapturing all that

00:23:12.052 --> 00:23:15.972
time that you're spending now on doing
something that you've probably normalized

00:23:15.972 --> 00:23:17.882
because businesses have normalized this.

00:23:18.242 --> 00:23:22.992
Data driven reporting kind of process
over time, where it's just going to

00:23:23.012 --> 00:23:27.432
take this amount of time and you're just
going to have to use these five different

00:23:27.432 --> 00:23:32.142
applications and somebody is just going to
have to spend four days on a deck, right?

00:23:32.142 --> 00:23:35.052
And we've all  normalized then
it's just kind of a fact of life.

00:23:35.052 --> 00:23:37.112
And what you're saying
is that's all wrong.

00:23:37.277 --> 00:23:37.707
Ashley M: Right.

00:23:39.197 --> 00:23:42.357
You have to meet the expectation, you
know, and just to give a throw out

00:23:42.357 --> 00:23:45.037
a couple more numbers that help you
get to that million dollar figure.

00:23:45.307 --> 00:23:49.847
If you're a company that has 500 active
projects and the people you have building

00:23:49.847 --> 00:23:51.977
reporting are expensive resources.

00:23:52.017 --> 00:23:53.897
Think, project managers service.

00:23:53.897 --> 00:23:57.127
Now, highly trained personnel
think about what they cost an hour.

00:23:57.457 --> 00:23:58.947
And to your point, it takes 1.

00:23:58.947 --> 00:23:59.081
Thank you.

00:23:59.192 --> 00:24:03.702
project manager four days to build one
deck that they've got to do every month.

00:24:03.932 --> 00:24:07.492
Think about the project managers who
have to report on their projects weekly.

00:24:07.822 --> 00:24:10.472
Think about how much time it takes
them over the course of a year.

00:24:10.702 --> 00:24:12.362
So those numbers add up really quickly.

00:24:13.077 --> 00:24:13.307
Duke: Yeah,

00:24:13.412 --> 00:24:15.442
CJ: Yeah, are they doing anything
other than building the deck

00:24:16.747 --> 00:24:17.387
Duke: Right.

00:24:19.137 --> 00:24:22.717
Well, I mean, it, it takes away from
their key thing, which is project

00:24:22.717 --> 00:24:25.607
management, and that requires
a lot of time attention case.

00:24:25.607 --> 00:24:26.727
Nobody's noticed before.

00:24:28.015 --> 00:24:29.725
CJ: and make a break on projects?

00:24:29.740 --> 00:24:33.170
Duke: what I love about this is it just
so many times I just like I've been

00:24:33.170 --> 00:24:38.910
griping about this for almost two decades,
even before my service now life is just

00:24:38.910 --> 00:24:43.070
like you deploy a tool and like item
number seven on the scope of work is do

00:24:43.070 --> 00:24:47.330
reporting and that's all the line says
before it goes into like do documentation.

00:24:47.330 --> 00:24:51.480
It's just and what it ends up being
is this gigantic afterthought.

00:24:51.900 --> 00:24:56.420
And what that ends up being is
just like every few days you're

00:24:56.420 --> 00:24:59.450
the admin of the tool and somebody
says, oh, I just I need this.

00:24:59.460 --> 00:25:02.770
But I need this list of
of tickets by priority.

00:25:02.770 --> 00:25:05.980
And then 3 days later, it's like, no, I
don't need it by priority by category.

00:25:05.980 --> 00:25:09.420
And they just can't understand
why they don't get what they want.

00:25:09.420 --> 00:25:12.990
Because you're not looking at the
big picture, but sorry, , actually,

00:25:13.310 --> 00:25:15.080
can you tell us when this event is?

00:25:15.625 --> 00:25:18.585
Ashley M: Oh, yeah, let me
just do the quick, , rundown of

00:25:18.585 --> 00:25:19.925
exactly what we're talking about.

00:25:19.935 --> 00:25:24.465
So we're doing 6 hours for this
digital conference, 11 am to 5

00:25:24.505 --> 00:25:26.505
PM on Thursday, October 12th.

00:25:26.895 --> 00:25:28.335
, it's all free to attend.

00:25:28.615 --> 00:25:30.185
There are 14 sessions.

00:25:30.700 --> 00:25:34.290
That compromise three different tracks
for all different types of stakeholders.

00:25:34.290 --> 00:25:36.540
We want everybody to feel welcome
and feel like there's content

00:25:36.540 --> 00:25:37.760
that they can get value out of.

00:25:38.120 --> 00:25:41.440
So we've got a technical track where
we're going to do two workshops that

00:25:41.440 --> 00:25:44.990
are being hosted by our internal
VividChart ServiceNow developers.

00:25:45.010 --> 00:25:47.320
One of them is being hosted
by Rob Walsh himself.

00:25:48.210 --> 00:25:51.340
We're going to be in the tool
actually building and showing people

00:25:51.540 --> 00:25:54.500
how to get to some end results
that we think they'd really like to

00:25:54.510 --> 00:25:55.950
see within their own organization.

00:25:56.350 --> 00:25:57.690
Then we have a process track.

00:25:57.730 --> 00:25:59.260
So think workflow.

00:25:59.615 --> 00:26:03.175
Think, , mid manager level value, right?

00:26:03.195 --> 00:26:06.075
Like, I've still got hands on
keyboard trying to figure out

00:26:06.075 --> 00:26:07.195
how to build these things.

00:26:07.495 --> 00:26:09.875
, but maybe I'm not the person
who's actually figuring out what

00:26:09.875 --> 00:26:11.225
tables to pull from, et cetera.

00:26:11.265 --> 00:26:14.315
I'm focused on outcomes and then
we've got the strategic track.

00:26:14.335 --> 00:26:16.485
So that's going to be for
decision makers for executives.

00:26:16.805 --> 00:26:20.435
People are typically only consuming the
reporting, but they're often the people

00:26:20.435 --> 00:26:22.335
signing the check for service now, right?

00:26:22.335 --> 00:26:22.765
The instance.

00:26:23.595 --> 00:26:26.185
So we want to make sure people
understand, you know, you've spent

00:26:26.195 --> 00:26:29.135
all this time and investment and
resources to get your service.

00:26:29.135 --> 00:26:32.225
Now, instance up and running,
get everybody trained on it.

00:26:32.335 --> 00:26:33.845
Now, what are you doing with that data?

00:26:33.925 --> 00:26:35.335
Well, you're not the 1 personally.

00:26:35.335 --> 00:26:36.535
That's going to be managing it.

00:26:36.715 --> 00:26:39.045
You should care because it's
going to help drive your service.

00:26:39.045 --> 00:26:39.825
Now, adoption.

00:26:40.075 --> 00:26:43.175
It's going to make the product stickier
within the organization and it's going

00:26:43.235 --> 00:26:46.195
to make your implementation look that
much better because you've figured

00:26:46.195 --> 00:26:49.535
reporting out as you're going into
it as opposed to an afterthought.

00:26:49.935 --> 00:26:51.495
So, yeah, 14 sessions.

00:26:51.710 --> 00:26:52.420
Six hours.

00:26:52.420 --> 00:26:54.840
We're going to have a fun, happy
hour at the end with some service.

00:26:54.840 --> 00:26:59.560
Now, trivia be able to win some prizes
and again, just a whole host of dynamic

00:26:59.670 --> 00:27:02.910
speakers, both vivid charts and external,
and we're really excited about it.

00:27:02.915 --> 00:27:02.945
Duke: Okay.

00:27:03.277 --> 00:27:07.537
Rob W: And I think, Corey, you use
the term this has been normalized in

00:27:07.537 --> 00:27:09.927
organizations, this way of reporting.

00:27:10.377 --> 00:27:13.907
And what's really great about this
event, in my opinion, is You're

00:27:13.907 --> 00:27:18.297
going to hear from your peers that
that doesn't have to be the case.

00:27:18.327 --> 00:27:21.917
They're going to show you, Hey, we
did it and here's how we did it.

00:27:22.267 --> 00:27:22.547
Right.

00:27:22.577 --> 00:27:26.087
And that's, really the spirit of
the ServiceNow community at large.

00:27:26.407 --> 00:27:29.657
And part of why it's been such
a successful platform is because

00:27:29.977 --> 00:27:33.297
the community shares their success
stories for others to learn from.

00:27:33.307 --> 00:27:33.717
So.

00:27:34.157 --> 00:27:37.557
Again, we're really excited to have
some great customers presenting.

00:27:37.637 --> 00:27:42.447
CDW, their managed service provider
team is going to be presenting on

00:27:42.467 --> 00:27:44.857
automated customer facing reporting.

00:27:44.867 --> 00:27:48.787
We're going to have GlideFast
presenting on automated customer

00:27:48.787 --> 00:27:50.607
facing status reporting.

00:27:51.137 --> 00:27:55.277
We're going to have leaders from
the Teradata and Cignet PMOs talking

00:27:55.277 --> 00:27:59.997
about how they've operationalized
automated reporting within their PMOs.

00:28:00.382 --> 00:28:03.352
And, , all of these people are
your peers and they've, done it

00:28:03.362 --> 00:28:06.292
with our help, they've done it
with their internal resources.

00:28:06.302 --> 00:28:10.652
So I think it is really going to be a
great event to learn, but also to, to

00:28:10.652 --> 00:28:14.712
really connect the dot to where the
way you're doing it today, isn't the

00:28:14.712 --> 00:28:16.492
way that you maybe should be doing it.

00:28:16.532 --> 00:28:20.502
And taking the leap isn't as
difficult as you might think it is.

00:28:20.983 --> 00:28:21.863
CJ: Yeah, that's great.

00:28:21.873 --> 00:28:25.323
And , one of the, sessions that
they really caught my eye, Rob.

00:28:25.393 --> 00:28:29.233
Um, Robin Ashley is vivid
charts versus PowerPoint.

00:28:29.283 --> 00:28:31.603
The heavyweight report bill showed out.

00:28:32.258 --> 00:28:32.638
Duke: nice.

00:28:32.638 --> 00:28:33.548
Who's doing that?

00:28:34.423 --> 00:28:37.360
Ashley M: Uh, Ksenia, our director
of customer success is going to

00:28:37.360 --> 00:28:38.673
be the main speaker on that one.

00:28:38.673 --> 00:28:43.853
And so the idea is she's going to take
a desired outcome, a report that she

00:28:43.853 --> 00:28:45.503
wants to build with ServiceNow data.

00:28:45.823 --> 00:28:50.163
She's going to pre record herself doing
it in PowerPoint versus setting it up in

00:28:50.163 --> 00:28:52.383
a VividCharts template in the platform.

00:28:52.753 --> 00:28:56.413
And then we're going to play them side by
side and she's going to provide commentary

00:28:56.633 --> 00:29:00.033
on how much easier it is and the things
that you're missing when you think

00:29:00.033 --> 00:29:01.383
you're being efficient in PowerPoint.

00:29:01.663 --> 00:29:02.793
So that one's going to be really fun.

00:29:03.573 --> 00:29:04.253
CJ: I love this.

00:29:04.533 --> 00:29:05.053
I love this.

00:29:05.193 --> 00:29:08.303
This is this right here,  this
session  is going to illustrate like

00:29:08.313 --> 00:29:12.193
all the value right there that vivid
charts brings to the table, right?

00:29:12.193 --> 00:29:13.067
Because you're going to see.

00:29:13.067 --> 00:29:13.444
Transcribed by https: otter.

00:29:13.444 --> 00:29:16.928
ai Immediately, like how much better
it is to do things in vivid charts

00:29:16.928 --> 00:29:18.068
than it's to do in PowerPoint.

00:29:18.278 --> 00:29:20.118
And I'm Microsoft certified.

00:29:20.118 --> 00:29:21.888
I've been in it for a
long, long time, right?

00:29:21.888 --> 00:29:24.048
Like, I do not like PowerPoint.

00:29:24.053 --> 00:29:25.938
I am not a fan of Excel, right?

00:29:26.148 --> 00:29:29.258
. So, , I'm definitely
in,  in the audience of.

00:29:29.768 --> 00:29:30.198
Yes.

00:29:30.398 --> 00:29:31.518
Move it all to service.

00:29:31.548 --> 00:29:32.978
Now move it to vivid charts.

00:29:33.038 --> 00:29:34.168
Let's do everything there.

00:29:34.358 --> 00:29:37.558
Let's leave these kind of relics
of the past , behind, especially

00:29:37.558 --> 00:29:39.978
if you've already, if the
data's already in service now.

00:29:40.512 --> 00:29:42.772
I'm looking very forward,
very much forward to this.

00:29:42.812 --> 00:29:47.472
In addition to, , a very on a Duke
session about building service now

00:29:47.472 --> 00:29:49.732
reporting program that matters.

00:29:50.202 --> 00:29:51.572
Do you want to talk
about that a little bit?

00:29:51.992 --> 00:29:53.182
Duke: Um, sure.

00:29:53.202 --> 00:29:58.498
I guess the thing that I am most
passionate about is, everything

00:29:58.968 --> 00:30:02.658
that happens before you realize
the genius of vivid charts, right?

00:30:03.028 --> 00:30:09.347
going from that stage of, air
quotes do reporting to making a

00:30:09.347 --> 00:30:13.777
solution that actually matters
that actually moves the needle.

00:30:13.777 --> 00:30:18.067
I can't even calculate the amount of
money that has been spent on service

00:30:18.087 --> 00:30:21.737
now that hasn't even at the start.

00:30:22.167 --> 00:30:27.307
At the start, talked about what outcomes
do we expect are going to improve.

00:30:27.857 --> 00:30:28.267
CJ: Yes,

00:30:28.597 --> 00:30:31.077
Duke: I'd take like 9 out of
10 customers that just say,

00:30:31.077 --> 00:30:32.697
okay, we got to implement ITSM.

00:30:32.927 --> 00:30:37.387
If you ask them, what outcomes does
incident manage, incident management

00:30:37.387 --> 00:30:39.477
provide, and how do you know it's working?

00:30:39.842 --> 00:30:42.022
Like how many out of 10,
Corey, do you think would just

00:30:42.032 --> 00:30:43.162
stare blankly back at you?

00:30:44.127 --> 00:30:47.167
CJ: uh, 9 10 didn't, then it's approved.

00:30:47.332 --> 00:30:48.652
Duke: I would, I would agree.

00:30:48.672 --> 00:30:54.222
And so it's like somebody has to care
about building a solution that matters.

00:30:54.222 --> 00:30:56.372
And that's what I love about
the ServiceNow ecosystem.

00:30:56.518 --> 00:30:57.888
everybody's baller, right?

00:30:57.888 --> 00:30:58.918
They're just like, Oh my goodness.

00:30:58.958 --> 00:31:03.128
Finally, a lever that I
can use to up my career.

00:31:03.158 --> 00:31:06.368
I can slay some dragons with
this tool, look like a hero.

00:31:06.388 --> 00:31:08.398
And that gets me to the
next stage of my life.

00:31:09.133 --> 00:31:13.163
So I'm banking on the people who want
to slay dragons will listen to this

00:31:13.173 --> 00:31:18.600
story, will listen to this, lecture
that teaches you how to actually build

00:31:18.940 --> 00:31:24.250
a reporting paradigm and transition
from just being that poor SOB that's

00:31:24.250 --> 00:31:27.240
got to listen to like the next
different way somebody wants a list.

00:31:27.305 --> 00:31:34.208
View grouped going from just these ad
hoc reports by the dozen to building

00:31:34.208 --> 00:31:39.878
a program, a reporting program that
takes whole solutions from deployment

00:31:40.258 --> 00:31:46.088
to the visualization of wow, this is
working well, this was money well spent,

00:31:46.717 --> 00:31:46.747
CJ: Yes.

00:31:47.452 --> 00:31:50.242
Duke: or we're not getting the value yet.

00:31:50.332 --> 00:31:52.032
And here's where it's going wrong.

00:31:52.413 --> 00:31:52.753
CJ: Yes.

00:31:52.888 --> 00:31:55.028
Duke: did that answer ranted there a bit,

00:31:55.348 --> 00:31:56.708
CJ: No, no, absolutely.

00:31:56.708 --> 00:31:56.898
Right.

00:31:56.898 --> 00:31:59.598
And I'm going to take this,  a
little bit to a meta level.

00:31:59.598 --> 00:32:05.648
. And talk about the outcomes of,  building
a reporting program around outcomes.

00:32:05.698 --> 00:32:09.248
. And 1 of and that may come is that
you get a, you end up with a service

00:32:09.248 --> 00:32:13.538
now, , platform and instance, . That
is more helpful to the business

00:32:13.578 --> 00:32:14.998
than it's ever been before.

00:32:15.548 --> 00:32:18.968
. And that's one of the things that we're
seeing now in this industry kind of

00:32:18.968 --> 00:32:22.748
writ large is that, , a lot of folks
have been service now customers now

00:32:22.748 --> 00:32:26.595
for quite a while, and they're starting
to get to that point where, they're

00:32:26.875 --> 00:32:30.615
looking to get more out of the platform,
more out of the instance, right?

00:32:30.615 --> 00:32:34.035
And they don't necessarily know
where to go or where to look right.

00:32:34.035 --> 00:32:38.265
And I'm looking at how vivid charts
can actually provide help provide

00:32:38.275 --> 00:32:43.145
that direction on how to take that
service now program to the next level.

00:32:43.605 --> 00:32:49.635
Duke: Yeah, like I guess part of
what inspires it is like 17, 18

00:32:49.645 --> 00:32:52.665
years ago when I was at a company
where we're using, we're using

00:32:52.665 --> 00:32:54.505
magic, a Corey, you know, magic,

00:32:55.000 --> 00:32:55.720
CJ: Oh, yeah.

00:32:55.765 --> 00:32:58.435
Duke: weren't using, we
weren't using service now and.

00:32:58.915 --> 00:33:02.795
Every single week, one group
manager would be like, I need

00:33:02.795 --> 00:33:04.135
you to tweak this report for me.

00:33:04.172 --> 00:33:05.512
it's my good morning.

00:33:05.522 --> 00:33:06.672
Here's what we have to worry about.

00:33:07.462 --> 00:33:08.542
And God helped them all.

00:33:08.652 --> 00:33:12.032
They were all legit trying to, at
least they're reaching out to reporting

00:33:12.212 --> 00:33:15.492
and saying, here's how I need to
improve the performance of my team.

00:33:15.568 --> 00:33:21.848
But it was like 20 of these people, over
20, like individual group managers all

00:33:21.848 --> 00:33:23.678
like with their own separate morning.

00:33:24.023 --> 00:33:25.423
Like hit list report,

00:33:25.743 --> 00:33:26.043
CJ: Yep.

00:33:26.293 --> 00:33:28.593
, Duke: each of them were getting
some parts right, but nobody

00:33:28.593 --> 00:33:30.003
was seeing big picture stuff.

00:33:30.633 --> 00:33:33.933
And I was so like, I just, I
just spent so much time on it.

00:33:34.333 --> 00:33:35.273
So much time.

00:33:35.423 --> 00:33:36.963
And then, you know, we
had crystal reports.

00:33:37.483 --> 00:33:38.613
in magic, right?

00:33:39.393 --> 00:33:40.303
Crystal reports.

00:33:40.373 --> 00:33:41.043
Oh,

00:33:41.073 --> 00:33:42.063
CJ: that was good stuff.

00:33:43.103 --> 00:33:46.083
Duke: I would have preferred having vivid
charts, but crystal reports was nice.

00:33:46.693 --> 00:33:49.353
And I just decided I took a
whole bunch of time off hours.

00:33:49.393 --> 00:33:53.973
I built a beautiful single crystal report
that took the best ideas of everybody.

00:33:54.628 --> 00:33:57.792
And put it on one chart and it
showed them , here's the, your super

00:33:57.792 --> 00:34:01.092
mega ultras that you got to worry
about, or everybody's fired, right?

00:34:01.112 --> 00:34:03.312
Here's other stuff you
might be interested in.

00:34:03.322 --> 00:34:04.922
Here's some lightweight trending.

00:34:05.632 --> 00:34:08.002
And it was  just game breaking.

00:34:08.148 --> 00:34:09.668
they were so amazed by it.

00:34:09.852 --> 00:34:11.752
but  I didn't get there from nothing.

00:34:11.772 --> 00:34:15.835
I had to really think about what makes
a good report, a good report and.

00:34:15.907 --> 00:34:17.977
you know, I moved a
gigantic mountain with that.

00:34:17.977 --> 00:34:20.950
I don't know where I'm going with this,
but essentially, it's just if you want

00:34:20.950 --> 00:34:26.407
to go from somebody who's just filing
ad hoc reports to being the driver of

00:34:26.427 --> 00:34:31.617
other teams being super satisfied with
being able to build their own case.

00:34:32.522 --> 00:34:34.992
You know, for anything, here's
why we're doing awesome.

00:34:35.192 --> 00:34:38.782
Here's where we're lacking extra
managerial energy or resources.

00:34:39.212 --> 00:34:42.512
You can't do that with a whole
ton of forethought and I'm going

00:34:42.512 --> 00:34:43.552
to teach you the forethought.

00:34:44.412 --> 00:34:45.812
I just did a whole second pitch.

00:34:46.162 --> 00:34:46.512
That's awesome.

00:34:46.612 --> 00:34:48.372
But it's my podcast,
so I don't feel sorry.

00:34:51.857 --> 00:34:56.123
CJ: So, one of the questions that I
wanted to ask is, , how did you all decide

00:34:56.143 --> 00:34:57.743
to throw a digital conference, right?

00:34:57.743 --> 00:35:00.663
, this doesn't seem to me like
something that you do on a whim,

00:35:00.663 --> 00:35:04.040
nor does it seem to, be something
that, is a small endeavor.

00:35:04.550 --> 00:35:08.100
So I'm just wondering, like, you know,
how you woke up one day and said, you know

00:35:08.100 --> 00:35:09.760
what, we should do a digital conference.

00:35:10.340 --> 00:35:10.530
Thank you.

00:35:11.240 --> 00:35:12.560
Ashley M: no, that's a great question.

00:35:12.620 --> 00:35:15.230
well, I mean, the first thing I'll
say is, , obviously our whole product.

00:35:16.310 --> 00:35:19.880
Positioning proposition is
built around efficiency, right?

00:35:19.880 --> 00:35:23.080
And being able to do things
digitally and in real time.

00:35:23.400 --> 00:35:26.230
So I feel like it really played into
kind of our core mission and what

00:35:26.230 --> 00:35:29.720
we're after when we talk about the
value that we provide our customers.

00:35:30.130 --> 00:35:33.870
But really, I think the impetus
goes back to knowledge in May.

00:35:34.200 --> 00:35:37.670
Um, it's my first time attending
ServiceNow's knowledge conference in May.

00:35:37.680 --> 00:35:39.050
We brought a large team.

00:35:39.280 --> 00:35:40.810
We got a ton of value out of it.

00:35:41.045 --> 00:35:44.485
Simply because you gather all of these
really amazing people on their service

00:35:44.485 --> 00:35:46.755
and service now community in one space.

00:35:47.095 --> 00:35:51.065
But I was really blown away with
the level of speakers that they

00:35:51.065 --> 00:35:54.345
were able to pull in and have speak
on a variety of different topics.

00:35:54.615 --> 00:35:59.155
And as much as we were there to build
brand awareness and show people why

00:35:59.185 --> 00:36:02.145
Vivi, you know, why and how Vivi charts
could help them in their business.

00:36:02.445 --> 00:36:06.455
It was also great to sit on some of
those sessions and just learn a ton.

00:36:06.855 --> 00:36:09.345
And so as a business, we
are really focused on.

00:36:09.405 --> 00:36:11.585
Providing value back to the community.

00:36:11.875 --> 00:36:16.015
And I felt like what a low tension
way to get a bunch of people together

00:36:16.225 --> 00:36:19.345
and continue to build the service now
community and position vivid charts

00:36:19.355 --> 00:36:22.465
in the center of it, then to have
this digital conference where we get

00:36:22.465 --> 00:36:25.025
all these amazing people together
who are going to speak on different

00:36:25.035 --> 00:36:27.505
topics and provide a ton of value.

00:36:27.605 --> 00:36:30.235
, to our current and hopefully
future customers, right?

00:36:30.545 --> 00:36:34.255
To your point, it's not a small endeavor,
but it's absolutely been a labor of love.

00:36:34.505 --> 00:36:38.695
And I just think that the gains from
it will continue far beyond the event.

00:36:38.905 --> 00:36:41.175
There's going to be so much content
that we're going to be able to put out

00:36:41.175 --> 00:36:44.445
into the world to help people learn
how to better utilize their service.

00:36:44.465 --> 00:36:46.845
Now, data, it just will
continue to give back.

00:36:46.895 --> 00:36:48.595
I believe long after the conference.

00:36:49.735 --> 00:36:50.485
CJ: Yeah, I'll be honest,

00:36:50.795 --> 00:36:51.195
Duke: go ahead.

00:36:51.205 --> 00:36:51.265
Thank you.

00:36:51.735 --> 00:36:52.765
CJ: Let me start that over.

00:36:53.795 --> 00:36:54.355
I'll be honest.

00:36:54.355 --> 00:36:58.545
This is the 1st digital conference that
I'm actually looking forward to, right?

00:36:59.265 --> 00:37:00.715
You know, that like most of the time.

00:37:01.155 --> 00:37:04.415
, you go to a digital conference or you,
or one, , attempts to put one of these

00:37:04.425 --> 00:37:10.965
things on and , the level of content
versus, um, it, it just doesn't seem like

00:37:10.965 --> 00:37:16.205
they've thought it through in the way that
you all have, this feels very cohesive.

00:37:16.555 --> 00:37:19.665
It feels like you have something
for everyone, no matter what part

00:37:19.665 --> 00:37:23.735
of their career they're in or
what type of career they're in.

00:37:24.135 --> 00:37:27.455
And I feel like it's going to
answer a lot of questions around.

00:37:27.895 --> 00:37:32.292
Not only vivid charts, but reporting
and outcomes related to reporting

00:37:32.382 --> 00:37:33.802
and why all of this matters.

00:37:34.262 --> 00:37:34.522
Ashley M: Yeah.

00:37:34.712 --> 00:37:36.842
I mean, those are such
thoughtful compliments, two

00:37:36.842 --> 00:37:38.112
cliches that come to mind.

00:37:38.452 --> 00:37:40.502
One is content is king, right?

00:37:40.502 --> 00:37:44.612
It's really easy, especially as a marketer
to get preoccupied with how things look

00:37:44.612 --> 00:37:46.532
and how you're presented and positioned.

00:37:46.762 --> 00:37:49.822
And yes, of course I care about those
things, but if the content wasn't going

00:37:49.822 --> 00:37:51.372
to be good, people weren't going to come.

00:37:51.422 --> 00:37:53.672
And then the other cliche
is that a rising tide.

00:37:53.982 --> 00:37:54.792
Lifts all boats.

00:37:54.802 --> 00:37:55.082
Right?

00:37:55.082 --> 00:37:55.962
I think I got that right.

00:37:56.332 --> 00:38:00.242
And simply that means is we all learn
together and grow in our understanding

00:38:00.242 --> 00:38:01.802
of how best to utilize service.

00:38:01.802 --> 00:38:06.572
Now, obviously, hopefully vivid charts
wins in terms of showing people the value

00:38:06.602 --> 00:38:08.632
that comes with not letting your service.

00:38:08.632 --> 00:38:11.812
Now reporting be an afterthought,
but it also just helps to educate

00:38:11.812 --> 00:38:15.772
people to your point at any area of
their any stage of their career as

00:38:15.772 --> 00:38:19.122
far as service now goes, to better
educate themselves on these topics.

00:38:19.172 --> 00:38:21.142
So we are really thrilled.

00:38:21.470 --> 00:38:24.050
Duke: right, we are at
40 minutes of record.

00:38:24.093 --> 00:38:26.353
Rob, Ashley, any last
words for the audience?

00:38:27.057 --> 00:38:27.897
Rob W: for real time.

00:38:28.082 --> 00:38:28.472
Ashley M: Right.

00:38:30.352 --> 00:38:31.192
Gina is going to be a party.

00:38:31.532 --> 00:38:33.002
CJ: Yeah, so where can we find it?

00:38:33.317 --> 00:38:35.673
Duke: we'll put the links in
the, in the description below.

00:38:35.750 --> 00:38:38.460
and also wherever you see
this posted on social media.

00:38:38.780 --> 00:38:41.420
So we'll show both the links
for the real time event.

00:38:41.650 --> 00:38:44.393
And, Ashley, if you could also send
me the resource calculators you

00:38:44.393 --> 00:38:47.233
were talking about earlier, we'll
put that in the description below.

00:38:47.468 --> 00:38:50.198
Ashley M: I will say that
if you head to vividcharts.

00:38:50.218 --> 00:38:51.998
com, it's the first thing
you're going to see.

00:38:51.998 --> 00:38:55.268
There's a banner at the top of every
single one of my web pages right now with

00:38:55.268 --> 00:38:57.218
a link to take you directly to register.

00:38:57.248 --> 00:38:59.608
So if you don't want to go
searching for other links, that's

00:38:59.608 --> 00:39:00.708
a really easy way to find it.

00:39:01.338 --> 00:39:01.738
CJ: Awesome.

00:39:01.960 --> 00:39:02.330
Duke: All right.

00:39:02.330 --> 00:39:03.430
I guess we're going to end it here.

00:39:03.440 --> 00:39:04.950
Rob, Ashley, such a pleasure.

00:39:04.950 --> 00:39:06.480
Thank you for making time for us.

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Rob W: Corey, thank you
so much for having us.

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This was a blast.

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CJ: That was amazing.

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Really, really appreciate you all's time.