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look thank you thank you everyone for
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joining um just an introduction first
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for myself RAV joal um focus of today's
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session will be to walk through how an
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organization so Tom from Wilson James
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has gone through the process of
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evaluating selecting then implementing a
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data analytics platform uh so the focus
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will be on
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self-service culture change and adoption
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itself um so we split it into two
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focuses so the initial part will be
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about how you know Wilson James has gone
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through the process of actually
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evaluating a solution so what their
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requirements were to then looking at the
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changing culture so how to shift the
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mindset internally um and adopt in a new
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solution um for those of you that don't
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know who Domo are so Domo is an end to
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end data analytics platform um we cover
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the entire Journey from data integration
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all the way through to analytics and
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insights and dashboarding um really the
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value for customers is the the speed to
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the speed to value is being able to
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integrate your data through our connect
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framework so whether it's on premise
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database whether you're looking at Cloud
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systems to then be able to host that
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data in Domo data warehouse or third
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party transforming preparing the data
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and then being able to create
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visualizations and insights to
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ultimately have that self-service
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culture but drive the business forward
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using data so from that side obviously
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we're not here too much to talk about
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Domo uh but Tom from from your
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perspective thank you thank you for
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joining today so maybe to begin with um
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be good just to give an insight into who
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Wilson James are uh the industries you
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work in um and then over in terms of the
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scale you're at and the vision you have
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as an organization yes I think we're
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probably one of the largest businesses
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people haven't heard of so we work
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across security construction Logistics
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Aviation and Technology as our
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predominant service lines um we founded
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as a security business 31 years ago
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still owner Le and operated so that
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that's really wonderful for us and we
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employ about 6,000 people so I guess for
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us the the the vision is that we have a
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you know people are the core of our
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product and the core of our offering um
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but it's so for us and our data Journeys
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about how do we enable our people using
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data yeah so that's really where we we
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came about with this about 18 months ago
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perfect and in terms of you work across
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various Industries is there certain
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industries that maybe data plays a bit
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more of a pivotal part in yeah
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absolutely so I mean as you can imagine
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Aviation yeah every single part of every
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journey is absolutely captured um and
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we're working with thousands of data
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points and so at heo for example we we
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provide passenger assistance for for
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passengers who are who require Mobility
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assistance through their journey and we
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support about 1.8 million passengers a
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year in that and you know the entire
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service is driven by data which is
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captured by your airline booking
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information that then contributes to how
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do we service the passenger how do we
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engage with them on the flight and
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understand our demand to forecasting
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yeah but there's so many contributing
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factors to something like that um and
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then in construction Logistics so we we
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support the consolidation delivery Waste
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Management that kind of thing of huge
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construction projects you know I was
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discussing this morning we we're you
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know heavily involved in building
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Hinkley power plant for example and so
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again every part of that is about
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delivering a really efficient service to
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our to our clients and again you know
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we're measuring pallet loads but then a
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huge amount of info around
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sustainability as well so we had so much
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data um and didn't know what to do with
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it and a lot of different data points
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and getting access to data and and Tom
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in terms of kind of your role at at
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Wilson James um from been there six
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years is that correct six years and
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obviously you've kind of worked through
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the organization from being initi in
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kind of that operational role to now
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being you know the role of business
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Improvement director how has how has
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that Journey been and and also how is
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kind of data and Reporting played a part
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from operationally all the way through
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to where you are now yeah so I I don't
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think I'd call myself a technical person
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I think my colleagues would probably
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call me a technical person just by
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virtue of of what I do but so um I
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started working at gwi airport in a a
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real operational role and then took an
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interest in how do we do how do we plan
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how do we drive efficiency into that
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service and and then came to start
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driving our planning our forecasting all
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that kind of stuff and and back then it
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was a another bi platform I what name um
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and we were just starting to get to
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grips with that and that was just
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engaging with like Excel data and
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playing around with that um and that I
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guess that's where my data Journey
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started uh from there I moved into some
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project roles so I was delivering new
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projects and stuff like that and then
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from there moved into business
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Improvement I think it's really telling
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that we we house our data function
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inside of business Improvement um part
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of the organization because for us data
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is all about how do we improve our
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organization and that's been the case
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you know for the last two years since
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ring that function um and and I think
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that's really helped us with Direction
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in what we do because ultimately you
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know I find a big problem when you speak
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to people in the data space is they
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gather millions and millions of data
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points but it's really difficult to
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discern the ones that are valuable to
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the ones that are worthless and you end
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up spending a huge amount of time and
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effort building data governance and
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cleansing and all this sorts of stuff
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but ultimately data that doesn't drive
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any value doesn't drive any Revenue
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doesn't improve your employee attention
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engagement and that kind of thing so
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over the last six years having worked in
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five roles I think uh in Wilson James
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it's been quite a journey um I've seen
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the impact of the 16 platforms that we
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use to run our organization um of having
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all of them in isolation doing a
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different thing in different place and
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then I've seen our operators our people
00:05:32
on the ground struggling to extract
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information into Exel or however that
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looks and trying to pull it together
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alongside each other um and that's in
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our op team but also in support So if
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you consider employee retention as a as
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a data point you know I did some time in
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nhr and you measure that but do you
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really understand what contributes to it
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and I think all of us can put a finger
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on what we think drives employee
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retention but but it's so many things
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and that could be around how many
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accidents how safe do people feel on a
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site if they feel unsafe they'll
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probably leave how regularly they being
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trained well that's in a different
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platform for us um is their pay accurate
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and on time okay well that's in sap so
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that's locked away there and you start
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to look at all of these data points in
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isolation and it becomes really hard for
00:06:19
anyone to make a positive impact on a
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challenge in the organization yeah um
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and so yeah that's if we talk about how
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do we land with Domo I think a year and
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a half ago that was the problem I was
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wrestling with in in business
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Improvement I spent 6 years in our
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business seeing all the ways that it was
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dysfunctional and understanding that
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actually no one knew what was really
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going on they they all had a view of
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their own slice but they couldn't see
00:06:43
the overarching picture in the
00:06:45
organization and and maybe that's to the
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point where you get to where we talk
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about how you how you come across Domo
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yeah um and maybe be good to to walk
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through um is just understanding you
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know what initially you were you were
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looking for and actually how you come
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across Domo in the in the first place
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yeah so I talked about our 16 platforms
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and so for context that could be you
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know health and safety capture platform
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that could be our time and attendance uh
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tool or sap which drives our finance our
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payroll and all of our employee data um
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across to our allocation system in in
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aviation or into our construction
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Logistics management platform which is a
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folr and one of our proprietary products
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um and so there were two things land
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demo one was to bring all that together
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um we needed a bi tool that had a layer
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that empowered us to connect to all of
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them and could do it quickly um we're a
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very agile organization our CEO is still
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the guy who founded it 31 years ago and
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so when he rubber stamps something and
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says let's go he expects you know quick
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results um it's not about let's roll out
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a 5year strategy of how we're going to
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deploy this tool it's okay go out
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deliver it quick and let's see value
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really quickly so that part of Domo we
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really loved and then the other part is
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unlocking sap data which for us we spoke
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with multip B tools we spoke with a data
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connection consultancy who came back to
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us and said it can't be done without
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paying for additional access license
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which anyone who engages with sap or
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know costs a lot of money um and Doo's
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ability to connect to the the database
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level of sap circumvented the need for
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that digital access license and we had a
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long uh drawn out conversation with sap
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around that and got confirmation um and
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so yeah the ability to unlock that data
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from sap which ultimately runs our
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finance our procurement our
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employees everything in our business if
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we couldn't get that business
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intelligence and analytics for us was
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dead because we would be looking at
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everything without you know 80% of our
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information yeah exactly I think that
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will resonate with with a lot of people
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in the audience is that the need to not
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just acquire from one database but it's
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that multiple databased across multiple
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departments and I think the obviously
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the benefit you had Tom is that you
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because you've had that operational role
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you understand into what the challenges
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were maybe in finance in sales in
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marketing as well and the data they need
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and what they need access to to to drive
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the business forward yeah I think you
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know we as data people and I'm assuming
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most people listening to this are data
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people you know we often um we have a
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tendency to to decide what the outcome
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is for the person who wants something
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and then we build the outcome and then
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we're surprised when no one engages with
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it or listens to us and they just think
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we're data people who should be locked
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up in a Cupboard somewhere um so I think
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having that operational background and
00:09:27
coming into it from that is to say
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actually this won't land this won't give
00:09:31
people what they're looking for and
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therefore no one's ever going to listen
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to us so we need to start with you know
00:09:37
the output in mind and the the flip side
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of that is you know a lot of non-at
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people don't know the question they W
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answered either so I always talk you
00:09:45
know that Henry Ford quote if it is a
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real one around you know if I'd ask
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people what they wanted they would have
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set a faster horse yeah I often have
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that engagement with people around you
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know I want to know what my staff
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attention is okay that's great but you
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not want to know why your staff
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attention is that high or low or
00:10:00
whatever that looks like so I think our
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role in our team and you know as data
00:10:05
people is to is to not be that end point
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it's to bridge the gap between the the
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need and and what's delivered yeah and
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you know you talked to the beginning
00:10:15
around Domo being that false sweep um
00:10:18
and I think that you know that really
00:10:19
matches with what our team is trying to
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do um we have to be at the front getting
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the data and ensuring it's clean and you
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know hold handling the whole ETL process
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but we also need to be responsible for
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delivering the value at the end yeah I
00:10:32
often get challenged by our coo around
00:10:35
okay that's all great but what does it
00:10:36
do for my my manager on a site somewhere
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what does it do for uh an operator in
00:10:40
the field uh and and it's a really good
00:10:42
challenge uh in projects or Solutions or
00:10:45
Technology Solutions but in data too um
00:10:48
and that's why things like last MBI have
00:10:49
been so huge for us as I think like you
00:10:51
talked about the the bip and bi is you
00:10:54
know interchangeable with you know
00:10:55
people talk about data visualization
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example there's you know hundreds of
00:10:58
different players a competitive market
00:11:01
and you mentioned obviously outside the
00:11:02
visualization piece the integration
00:11:04
element was important was there anything
00:11:05
else that was super important to you
00:11:07
when it came to the required
00:11:09
capabilities for Wilson James yeah so I
00:11:11
think Doo's app store has been a
00:11:13
revelation for our for our users you
00:11:15
know go in like you've got the Fitbit
00:11:17
connector right so someone on my team
00:11:19
has a Fitbit they just went in and just
00:11:21
like connected with Fitbit and started
00:11:23
playing around building a dashboard with
00:11:24
their Fitbit data and I think that out
00:11:26
of the box capability was huge for us we
00:11:28
we started with a team W 18 months ago
00:11:30
that was me um and that was you know
00:11:32
we'll give you we'll give you budget to
00:11:34
procure Domo if you think it's so
00:11:35
important to us um go out and prove the
00:11:37
value and if we look at now where we're
00:11:40
a direct team of seven growing to be a
00:11:42
larger team across the organization up
00:11:45
Skilling people engaging in you know
00:11:47
data literacy or friendships to bring up
00:11:49
that Grassroots Talent we needed a
00:11:51
platform that suited an organization
00:11:53
that didn't have a data background um we
00:11:56
we gathered loads of it we engaged with
00:11:58
it to an extent but we didn't have you
00:12:01
know 20day analysts who were just ready
00:12:04
for a platform we needed something that
00:12:06
people who were keen and interested
00:12:07
could go out and play with and deliver
00:12:09
value in their in their service sector
00:12:11
so I think that um easy to engage with
00:12:14
part was really huge for us we tried a
00:12:15
couple of other platforms um we've you
00:12:17
know we've toyed with palvi we had
00:12:19
isolated uses for for Tableau and um sap
00:12:23
we were playing with a couple of their
00:12:24
tools but they were so we found them so
00:12:26
overly technical for our users that you
00:12:29
end up with just really limited use
00:12:30
cases so yeah I think a platform for the
00:12:34
the people who are building content to
00:12:36
be usable but then also something that
00:12:38
is useful and understandable for people
00:12:40
consuming data and that's where you know
00:12:43
I I talked about it before but we often
00:12:45
fall short and just how the platform
00:12:47
felt for someone you know to have the
00:12:49
Domo app on their phone and be able to
00:12:51
jump on there in the morning and have a
00:12:53
look at visuals that they could
00:12:54
understand and they could engage with
00:12:56
you know even the simple tool like um
00:12:58
any anyone who's used to you know you
00:13:00
can change how the visual looks even as
00:13:02
a user so not an editor you can change
00:13:04
it from a pie chart to a bar chart if
00:13:05
you want that gave our users flexibility
00:13:07
and how they consumed in consumed data
00:13:10
yeah and then the final bit would just
00:13:11
be the the outward capability so able to
00:13:15
build out our own apis um we're we're
00:13:18
toying at the moment with use case you
00:13:20
know connecting to chbt to write a
00:13:22
summary of a data set that sits in Domo
00:13:24
and then is delivered as a teams message
00:13:26
so you know the days of bar charts and
00:13:30
pie charts I think you know uh for for
00:13:33
many users that's great but for others
00:13:34
they want a written report or they want
00:13:36
to engage in a different way and we get
00:13:37
that flexibility yeah that's great
00:13:39
that's great to and then obviously so
00:13:40
you've gone through the process obiously
00:13:41
you've done the evaluation uh you
00:13:43
selected the tool that's that's right
00:13:44
for Wilson James how did the the
00:13:46
implementation roll out work on was
00:13:48
there was there a strategy that you you
00:13:50
had in place so you mentioned obviously
00:13:51
you started with one person team and
00:13:53
grew that out but what was kind of
00:13:54
Wilson James strategy to the
00:13:56
implementation yeah so um in my in my
00:13:59
role I've I've launched multiple
00:14:01
platforms into our business for
00:14:02
different things you know a new
00:14:03
recruitment platform for example um and
00:14:06
mandated change is never successful
00:14:09
change you know people don't like change
00:14:11
no matter where they work and so most
00:14:15
people know the sort of Simon synic you
00:14:16
know adoption curve with your early
00:14:18
adopters and your your late adopters and
00:14:20
early majority and everything else and
00:14:21
so for us the only way we knew this
00:14:23
would work would be with targeted launch
00:14:26
to early adopters and then organic
00:14:29
demand Le growth so when we kicked off
00:14:31
with Domo we identified a big top level
00:14:34
use case that would demonstrate value to
00:14:36
the SE site and and that was for the
00:14:38
first time a kpi dashboard you know for
00:14:40
our for our board that was fed every day
00:14:43
rather than at the end of every month
00:14:44
someone typing something into an Excel
00:14:45
sheet and emailing out so that
00:14:47
demonstrated value at the SE Suite level
00:14:49
and then it was picking out a couple of
00:14:50
really problematic use cases that
00:14:52
someone in our support function had you
00:14:54
know I talk about in the case study just
00:14:56
knowing how many people worked for us
00:14:57
that day yeah um which seems Bonkers
00:15:00
that was you know exactly um that was
00:15:02
really problematic and you'd have to
00:15:04
reach out to this one person in HR and
00:15:06
you had to run the report and they could
00:15:07
bring it together with three others and
00:15:09
they could tell you we've currently got
00:15:11
5,733 so actually being able to flash up
00:15:13
to our business oh this how many people
00:15:15
are working for us today and if you do
00:15:16
it again tomorrow the number will be
00:15:17
different because it updates on its own
00:15:19
and then going out to our Ops teams
00:15:21
where they fed information into
00:15:23
Recruitment and they didn't know where
00:15:24
the candidates were in the process where
00:15:26
they were in vetting and when they were
00:15:27
going to get them out the other end so
00:15:29
building out a recruitment pipeline View
00:15:31
and this is how many candidates you've
00:15:32
got where they're at in the journey and
00:15:34
so just a couple of key strategically
00:15:36
placed use cases demonstrated to even
00:15:39
the slowest adopters the most resistant
00:15:42
to change that okay this is really
00:15:44
valuable for me and from there we've
00:15:46
basically taken the view of um we are
00:15:48
building up and we're about to launch
00:15:49
organization wide after about a year of
00:15:52
of of um organic growth um but before
00:15:55
now it's been a case of if you request
00:15:57
access to the platform you you've got it
00:15:58
you know there's no doesn't matter what
00:15:59
level you are what you're doing in the
00:16:00
organization you can have it because
00:16:01
you're Keen to get involved and our use
00:16:03
cases have come from you know the ground
00:16:05
up and the top down and they're so
00:16:07
diverse if I look at you know if I look
00:16:10
at the first few months it was who's
00:16:11
creating all the content it was you Tom
00:16:13
Giles or someone in my team building it
00:16:15
and if I look now my team is barely a in
00:16:17
the radar and it's absolutely people on
00:16:19
sites it's people in our support
00:16:21
functions who've taken it and are
00:16:22
building that and they're answering
00:16:23
their own needs to the point where we
00:16:25
have you know 300 dashboards now across
00:16:27
the business Niche to real massive use
00:16:31
cases for us um one of the things I show
00:16:33
often is you like a word cloud of most
00:16:35
popular dashboard in the last 30 days
00:16:37
right and through the first few months
00:16:38
of adoption you you just saw you know
00:16:40
three massive words and then nothing
00:16:42
else around the edge uh because no there
00:16:45
was so little and it was only so
00:16:46
targeted if you look now the work
00:16:48
Cloud's almost all the same size because
00:16:51
there's so much content and our users
00:16:53
are just engaging with it in all
00:16:54
different ways and it's so diverse and
00:16:56
so that's been the the strategy and
00:16:58
until now has been get people to come to
00:17:00
us get that early adoption and get that
00:17:02
feeling of sort of missing out you know
00:17:04
oh people are looking at this I want I
00:17:06
want that um how can I get access to
00:17:08
that and have people coming to us uh and
00:17:10
that's been really great you know I I
00:17:11
think it's been our most successful
00:17:13
adopted platform um it's something
00:17:16
people didn't know they needed until
00:17:18
they got access to it and now they can't
00:17:19
live without it uh I think the most
00:17:23
popular login time with the platform is
00:17:24
between 8:00 and 10: in the morning and
00:17:26
the most popular day is Monday so if you
00:17:29
want to talk about a data driven culture
00:17:31
seeing that everyone logs in first thing
00:17:32
in the morning engages with it that that
00:17:34
is the biggest indicator I think of a
00:17:36
data driven culture and fantastic um and
00:17:38
of you talked a lot about kind of
00:17:40
internal bi and how you being able to to
00:17:42
kind of drive better data driven
00:17:44
decisions internally what we're kind of
00:17:46
seeing seeing across the board is that
00:17:48
what organizations want to do how can
00:17:49
they monetize their own data um and
00:17:51
obviously one of the the big factors in
00:17:52
Domo is is being able to take the data
00:17:55
you have within your own platforms your
00:17:56
own databases and sharing that with with
00:17:58
clients and partners which is going to
00:18:00
help you know um increase Revenue
00:18:02
opportunities customer retention wonder
00:18:04
if you could just talk through kind of
00:18:05
the journey you guys have been on in
00:18:07
terms of extended analytics to your
00:18:08
clients and partners yeah so when 18
00:18:12
months ago when we started I think we we
00:18:14
acknowledged that we were perhaps behind
00:18:15
in our in our Marketplace in this space
00:18:17
and it was we desperately need to do
00:18:19
something to catch up and we and we and
00:18:21
we got there but within 9 to 12 months
00:18:25
we were there and we were already ahead
00:18:27
of I think our tors in producing
00:18:29
internal analytics and driving value
00:18:31
with that and then it opened up okay
00:18:33
well great what else can we do uh and so
00:18:36
for us it's we we've got sort of three
00:18:39
three buckets you know one is Drive
00:18:41
value into our own organization and you
00:18:42
know I've talked a bit about that the
00:18:44
second is how do we en enhance our
00:18:46
current service propositions um and then
00:18:48
the third is you know how do we just
00:18:50
create completely new things that we've
00:18:53
never done before but because of what we
00:18:54
already do or we have access to we we
00:18:56
can deliver and so that second one we
00:18:58
really starting to explore now um and
00:19:00
that's you know enhancing how we deliver
00:19:02
our services and it's we have you know
00:19:05
some really engaged clients if you as a
00:19:08
supplier Wilson James you know our
00:19:10
clients are Google and meta and big Tech
00:19:14
names you know Snapchat and all those
00:19:16
kind kind of people and they're
00:19:18
expecting from their security supplier
00:19:20
or their construction listic supplier
00:19:22
more than I think the market is
00:19:23
generally ready to do so you know last
00:19:26
MBI in our Aviation Space is now
00:19:28
construction Logistics bace is putting
00:19:29
screens up in operational areas that
00:19:32
drive outcomes from data rather than
00:19:34
looking at something at the end of the
00:19:35
month and talking about what we've done
00:19:37
today that is hugely valuable for our
00:19:39
clients we had an airline uh comment
00:19:42
that a global airline that what we were
00:19:43
doing at he for example they'd never
00:19:45
seen anywhere else in their Network and
00:19:47
that was huge for us as an organization
00:19:49
and and huge for our um our our client
00:19:52
which is um is the airport so that kind
00:19:55
of stuff is brilliant and then also
00:19:57
leveraging with our partner manzer um
00:19:59
around sustainability yeah so in
00:20:02
construction Logistics We Gather huge
00:20:03
amount of data around carbon emissions
00:20:05
miles traveled for deliveries um and so
00:20:07
it gives us a pretty unique insight into
00:20:09
the carbon emissions of our of our
00:20:11
customers and so taking that expertise
00:20:13
and then you know our partner manz's
00:20:16
expertise in more broad sustainability
00:20:18
reporting being able to offer our
00:20:19
clients you know the problem everyone's
00:20:21
talking about at the moment they never
00:20:22
really want to deal with is about you
00:20:23
know Net Zero and um everything else and
00:20:26
so we're already in a space with 2 50
00:20:28
clients where we're talking to them
00:20:29
about data and their biggest data
00:20:31
problem is around sustainability and you
00:20:33
know it's everyone everyone's Horizon so
00:20:35
being able to build products out around
00:20:37
you know how much carbon is your
00:20:39
commuting Workforce creating yeah uh how
00:20:42
much carbon is that combined with all
00:20:44
your deliveries and your construction
00:20:45
sites and to give them their scope two
00:20:47
scope three emissions it's just a huge
00:20:49
commercial opportunity for us uh whether
00:20:51
we give that away as part of a value ad
00:20:52
or charge charge for that so got it okay
00:20:55
perfect I think we've got a couple of
00:20:56
questions um and then we see go out to
00:20:58
the the audience but one thing just want
00:21:00
to just touch upon is the cultural
00:21:01
change you know um Implement a
00:21:03
technology is a challenge itself and
00:21:05
getting everyone to use a tool which
00:21:06
seems like you've done a great job with
00:21:08
Wilson James how's the shift been in
00:21:10
mindset culturally in terms of going
00:21:12
from you know where you were originally
00:21:14
to where you guys are now from a cult
00:21:16
perspective yeah so uh all of our
00:21:19
meeting rooms have got Glass Walls right
00:21:20
now head office um you walked past them
00:21:23
a year ago and the screen was off and
00:21:25
people were just chatting if I walk past
00:21:27
now every single one is sharing ATO
00:21:28
dashboard no matter what the topic of
00:21:30
the meeting yeah and you know for me
00:21:32
walking into the office in the morning
00:21:33
and just seeing that um that that to me
00:21:36
is cultural change that is people you
00:21:38
know I'd love to be in a place where you
00:21:40
say don't turn up to a meeting without
00:21:41
data and I think you know that's a
00:21:43
wonderful aspiration for us but to see
00:21:46
Senior leaders in our business um who I
00:21:48
would have never pegged as a data
00:21:50
specialist you know connecting the
00:21:52
laptop and showing dashboards and
00:21:54
reporting to answer any question being
00:21:57
on calls where people say say okay but
00:21:58
so what does what do the stats say you
00:22:00
know what and then oh what does that
00:22:03
mean why why does it say that that is a
00:22:06
completely different space for us to be
00:22:07
in I mean our organization our sorry our
00:22:10
service lines are you know our managers
00:22:12
have done it for years and they know
00:22:14
what they're doing if they've been
00:22:15
running a security site they probably
00:22:16
started as a security officer and
00:22:17
they're supervisor and they're turn you
00:22:19
know Duty manager and now they're a
00:22:20
director of a huge Security Site and so
00:22:22
they know what they're doing um but
00:22:24
they're having they before they having
00:22:25
to manage with their gut and I think the
00:22:28
big thing for me is we never want to
00:22:29
replace that I don't want to come to you
00:22:30
and say no you're wrong the data says
00:22:32
this so actually perhaps challenge your
00:22:34
own thought around why something
00:22:35
happened or indeed think about a problem
00:22:38
differently because you've got access to
00:22:39
the data for the first time and we're
00:22:41
seeing that all over the place and and
00:22:43
that's wonderful and and for people
00:22:46
listening in the audiences any advice
00:22:48
you'd give to you know data and bi
00:22:50
professionals who are either starting
00:22:52
that journey of implement new solution
00:22:54
and changing the culture or kind of
00:22:55
going through that Journey right now
00:22:58
yeah I think um I gu Greg here from the
00:23:02
data literacy Academy I know he's pres
00:23:04
he's got a stand somewhere around there
00:23:05
he said to me you know it's easier to
00:23:06
teach business to sorry data to business
00:23:08
people than business to data people and
00:23:10
I think if you're trying to change a
00:23:11
data culture you need to have business
00:23:14
people in your data team um and you need
00:23:16
to have business people contributing to
00:23:18
your data strategy it's not enough to be
00:23:20
a data person telling the business
00:23:22
around what they need to know about data
00:23:24
uh you know we're informed but we need
00:23:26
to share that knowledge and and and get
00:23:28
that operational input cuz otherwise
00:23:29
it's never going to land and you're
00:23:31
always just going to be that you know
00:23:32
person shouting your clouds about why
00:23:34
you think you know best so you need to
00:23:37
yeah I think just put the business first
00:23:39
in whatever organization you're
00:23:40
operating in and understand the business
00:23:42
problem truly before you try and deliver
00:23:44
a data solution perfect thank you for
00:23:46
that Tom I think we have time for maybe
00:23:48
a couple of questions Tommy's also going
00:23:50
to be um at the Domo stand as well after
00:23:52
so if anyone uh wants to ask in person
00:23:54
but is there any any questions from from
00:23:57
the audience for for Tom feel free to
00:23:59
put your hand up if there if there
00:24:01
are
00:24:03
perfect if we've got a microphone out
00:24:06
there yeah
00:24:09
perfect
00:24:14
just all right just out at the front
00:24:17
there you go perfect thank you hi there
00:24:20
uh it was great to hear everything
00:24:22
you've mentioned Clos sorry can you hear
00:24:25
me yeah I think so sorry um so I was
00:24:28
just curious because you mentioned that
00:24:30
there was all these dashboards that have
00:24:31
been created these these main ones that
00:24:34
sorry I can't hear you very well uh can
00:24:36
you hear me better now yeah I think you
00:24:37
have to hold it really close oh real
00:24:38
close Okay cool so um uh I was just
00:24:42
curious who are the
00:24:44
individuals who are the individuals that
00:24:46
are creating those particular dashboards
00:24:49
I'm curious about the composition of
00:24:50
your data team um I would imagine you've
00:24:53
you've got a a wide variety of data
00:24:56
analysts and data Engineers but like
00:24:59
when you in in the in the terms of
00:25:02
self-service um are you expecting the
00:25:06
specific Business site that people
00:25:07
within the business teams within the
00:25:09
business lines actually creating
00:25:10
dashboards or are you is it a whole
00:25:13
massive team of data analyst what does
00:25:15
that look like we are absolutely not a
00:25:16
massive team of data analyst so uh we
00:25:18
are very small in our internal Central
00:25:21
capability and all of our essentially
00:25:24
data capability until very recently has
00:25:26
been within operating areas where
00:25:28
there's just someone with a flare for it
00:25:30
so the key thing for us was to go out
00:25:31
and find those people in the in the
00:25:33
beginning and say we are doing this you
00:25:35
can have anything you like you know
00:25:37
clearly well managed in a data
00:25:39
governance framework but so if you see a
00:25:40
use case and you want to do that we will
00:25:42
support you and you know I I did mention
00:25:44
earlier but the whole self-learning
00:25:46
piece in Domo the data uh Domo
00:25:48
university has been huge for us so the
00:25:51
biggest content creators for us was a HR
00:25:53
business partner um an
00:25:56
IT guy I I know what his title was but
00:25:58
he just you know he' built fresh
00:26:00
ticketing dashboards in fresh and he had
00:26:02
done all this sort of stuff um and a
00:26:04
finance a director in finance who just
00:26:06
loved it and and went out there and so
00:26:08
our top three content creators be
00:26:10
absolutely not data people um so that it
00:26:14
has been organic and in that that people
00:26:17
put their hand up and say oh can I have
00:26:18
access can I be an editor can I build
00:26:20
content and then how do we support
00:26:21
people through that so we've run a
00:26:22
fortnightly um editors group where we
00:26:25
share best practice we've written some
00:26:26
or we writing out some best practice
00:26:28
guides and then you know just the chat
00:26:31
really where oh I'm trying to do this
00:26:32
how do I do it um and that's where we've
00:26:34
seen so okay what that's done is it's
00:26:37
created a huge amount of content and a
00:26:39
huge amount of value recognition in a
00:26:41
business but but it has been all over
00:26:43
the place so it has its pluses and minus
00:26:45
where we're at now is trying to tidy
00:26:46
that up professionalize that um and you
00:26:49
know the Domo certification and that
00:26:51
kind of thing that we're doing really
00:26:52
cements that but so yeah in terms of
00:26:55
getting out there getting it fast um and
00:26:57
getting engagement I think that's
00:26:59
critical as having you know I talked
00:27:00
about it nonata people delivering data
00:27:03
um yeah right right and also just
00:27:05
another followup question in regards to
00:27:07
those um I guess you can describe them
00:27:09
as super users right um would you say
00:27:12
that they um I I would imagine they
00:27:14
would have to undergo particular
00:27:15
training so that they can create those
00:27:17
particular dashboards what what what was
00:27:19
like the training what the training look
00:27:20
like within your organization so we uh
00:27:23
adapted the one of the Domo university
00:27:25
courses which is a self-taught course
00:27:27
online branded it and took out the bits
00:27:29
that weren't relevant to us got people
00:27:30
to do that themselves demonstrated some
00:27:32
proficiency gave them access to some
00:27:35
data they already had access to already
00:27:36
so there weren't concerns around you
00:27:38
know and then we engaged with them
00:27:39
throughout the process and just
00:27:40
supported them really so you know it's
00:27:41
been an organic
00:27:44
and agile I'll call it because um I
00:27:47
don't want to talk about the investment
00:27:49
in my team e months ago but so it's been
00:27:51
a self-d delivered model um to the point
00:27:53
where we've now demonstrated so much
00:27:54
value the team has grown immensely
00:27:55
because the business recognizes that and
00:27:57
wants to inv more cool thank you very
00:27:59
much cheers perfect well I think we're
00:28:01
we're we're done for time um getting the
00:28:03
no from back but thank you everyone for
00:28:04
for joining um yeah thank you as well
00:28:06
Tom appreciate your time
