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The Better Business analysis 
Institute presents the Better 

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Business analysis podcast with 
Kingsman watch. 

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You are everyone and welcome to 
this week's episode of The 

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Bitter business analysis podcast
with me, Benjamin Walsh, I will 

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say, as a bit of a shout out 
again, that of you want to know 

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more about what's happening in 
the be a space than please. 

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Follow our page, the Better 
Business analysis Institute on 

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LinkedIn or you can follow me or
send me a connection. 

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I love to hear from all of you 
and what you might want to hear 

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next on the podcast and if 
you're interested, I stood in 

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being a guest, similar note to, 
I need to make sure I schedule 

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some of those sessions as well. 
Now this week, we've got an 

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interesting topic, a very 
subjective topic for some I 

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think and it is around business 
analysis Mastery. 

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So it's how to master business 
analysis and keep involving 

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evolving your skills and we will
touch on. 

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Yeah, five key points here, 
we're not going to go too deep 

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but Plus, I've got over them and
just make some points that I 

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think a valid that you can come 
back to me and argue with me 

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about of you, like they are, 
what are the real core skills of

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a business analysis? 
Business analyst, I should say. 

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What is Mastery? 
And what do we mean by business 

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analysis, mastery? 
What skills should you focus on 

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mastering? 
What are the emerging future 

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skills and competencies for 
business analysts? 

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And finally what and where can 
you learn those skills. 

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So there are like some very 
broad key points that I hope 

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that you can take away from 
today as you. 

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Listen, and let's get into them.
Let's start with one of the core

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skills of business analyst. 
East. 

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And you might say Ben, I know 
what they are, and I'll say 

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that's cool, but it's actually 
quite hard to step back and see 

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what those skills are. 
What do they really? 

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What are the skills that you Bob
or Nancy have picked up? 

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What do you think you're great 
at? 

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You don't really get much time 
as a ba to really focus on that 

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you can look at the 
documentation you can look at 

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the theory and say oh I think 
these are the areas that you 

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need to be great at it. 
But actually what about 

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individuals and M rating 
through? 

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How do you know you're a master 
of those skills? 

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I would say that most business 
analysts have a range of 

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different skills that they've 
picked up along the journey, 

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from either falling into the 
career, which I hear often that 

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a lot of people fall into 
business analysis, Or they've 

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transitioned from formal study. 
Each change program that you're 

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involved in requires you to 
adapt to the scenario, to the 

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business context, and the 
challenges that that piece of 

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work requires you to turn on. 
You picked up, you've got your 

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bucket of all these skills and 
if you're on a specific piece of

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work so it's a contact center 
tool. 

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Roll out. 
You may need activate you. 

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The last time you did that, what
processes were involved, 

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customer-facing work, sear 
knowledge of cerium systems and 

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so you activating those for that
change program. 

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So you're not even in control 
necessarily of the destiny in 

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and schools that you refine. 
There is very little time in 

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your working life, to step back 
and reflect on what actually are

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the core skills that you've 
picked up or developed as a ba. 

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And that is why, you know, we 
have institutions like the IAB a

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who has bull Bach and we have 
you know the Better Business 

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analysis Institute the BB AI 
which I'm involved in well we 

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have defined, what we think. 
The real core skills of business

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analysis are We talked about the
fact that a skill, do you have 

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skills and you have competencies
and competencies are a 

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collection of skills that you've
learned. 

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And when we talk about 
competencies, which is how we're

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going to expose that information
on job descriptions or we talked

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about, you know, things we do in
business analysis. 

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We talk about things like 
requirements elicitation, which 

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is actually a whole lot of 
skills that are required to do 

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that. 
Well, we had a workshop. 

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We need have soft skills. 
We need have had skills. 

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We need to know how to do. 
I don't know. 

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Process modeling. 
For example, could be a broad 

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category, but that could involve
knowledge of bpmn processes. 

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It could have knowledge around 
current and future State 

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analysis. 
Again, it could touch on the 

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skills of workshopping and 
stakeholder analysis, and 

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one-on-one, interviewing 
techniques, or grouping 

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information, okay? 
So there was a whole broad range

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of On a lower level skills that 
you need soft and hard skills. 

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And then we have these things 
conferences, competencies and 

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which are probably the best way 
we talk about it. 

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So when we do out skills, where 
there are thousands of them and 

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we apply that to business 
analysis in the word 

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competencies. 
When I talk about skills, here I

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am talking about these 
high-level groupings and the 

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core skills of a be a, for a, 
for a, for a junior, for 

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example, which is actually, it's
it's easy to look at a junior, 

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be a and defined the skills that
That they need it's much easier.

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If you've worked with Juniors 
and when you know they have 

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transitioning to this career 
path to understand core skills. 

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It's actually easier to talk 
about it with Juniors because 

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you go all these are the first 
steps that you need to focus on.

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Whereas when you're a senior 
it's actually gets a little bit 

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more waffle and you start to 
specialize. 

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I always say that for a junior, 
be a, the first two core skills 

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competencies. 
If you like that, you must 

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understand a master which 
defines you as being a ba versus

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not being a ba. 
And my mind is requirements, 

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elicitation, the ability to 
extract requirements from your 

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stakeholder to observe. 
Not to collect not requirements 

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Gathering, which is the old 
word. 

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We used to use requirements, 
elicitation and I harp on about 

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this often how to do that which 
requires lots of different 

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skills. 
Eels as we've just talked about 

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and the other one is process 
modeling. 

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So these are the fundamental 
anchors of a be a, you know, 

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able to get out information in 
the right way using lots of 

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tools techniques skills, soft 
skills personality to extract 

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requirements. 
And then the other skill is 

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around process modeling, process
Improvement and the combination 

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of those two skills. 
I think, as you know, we're a 

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junior needs to focus their 
attention on and then By 

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generating output from those 
two, those two skills in terms 

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of requirements management, 
actual requirements. 

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So generation of requirements 
and then generation of 

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requirements management. 
So when those two things come 

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together and you might likely do
that when you're in the junior 

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space, and then of your 
intermediate, you then tag on 

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another school, which is really 
that high level analysis. 

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Your prior you're applying 
skills across the program. 

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So you start to broaden those 
around content. 

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Hicks and around, where in the 
process model, you might fit, 

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you might go up. 
You might not just be around 

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your your project but program 
level. 

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And so, as you as when you're an
intermediate, you're really 

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practicing those skills and 
intermediates around getting a 

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snap experience until you become
a senior and Senior really, you 

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do move slightly and you do 
acquire new competencies that 

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are over and above the ones, 
we've just talked about and we 

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dip into what we call Enterprise
and strategic analysis where we 

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look externally. 
It and Enterprise internally at 

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what are the needs of the 
company organization were 

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working at. 
So that's around the highest 

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level processes and objective 
level. 

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So, as an intermediate, you as a
junior may have looked around 

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the detail, like, mucking around
with data mapping and the lower 

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level kind of requirements 
management lifecycle 

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intermediate, your kind of more 
looking at the high level 

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requirements before you get down
to the solution. 

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And then a senior is getting I'm
way more in terms of even before

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the project starts and I would 
say master is really good at 

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that high level strategic and 
Enterprise analysis. 

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Where the value is first defined
and captured. 

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So that's really important. 
And then you have other skills 

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of course, which comes to seize 
it in, which might be a 

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specialization like continuous 
Improvement or business 

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Improvement person which is 
after the products been 

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released. 
So you save, you your Enterprise

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and your high level and your 
detail in there maybe You've got

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your release management 
requirements management, and 

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then at the end, you've got the 
continuous Improvement side. 

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So they are the core skills on 
the ba and you can see that in a

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linear or looped around 
approach. 

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When we talk about Mastery and 
what that what we mean by 

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mastering skills for a ba we 
could we could look at two 

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authors that I love to read 
Malcolm Gladwell who wrote blank

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and Tipping Point, really great 
author to kind of from us 

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sociology and a psychology point
of view and the other one is Tim

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Ferriss and I like both these 
authors, but you always need to 

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take their interpretation of 
life with a bit of salt, right 

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there. 
Trying to provoke the trying to 

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provoke. 
Conversations. 

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So last week we talked about 
Lean Startup definitely a book 

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you should read but also I would
suggest that you read some of 

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Malcolm gladwell's books and Tim
Ferriss at least the four hour 

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work week. 
If you haven't read it, it's 

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quite a good book to read, 
Malcolm Gladwell. 

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Kind of popularized, the belief 
that to master a skill. 

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You need to practice for at 
least 10,000 hours, okay? 

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And in his book, he talks about 
Bill Gates and how he became. 

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Really good at what he does and 
how he used to get access to the

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computer lab and he used to go 
in there and program and program

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and program. 
And you know this, the idea that

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if you've done something for at 
least 10,000 hours, so long 

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time, you will be a master, but 
I think that simplifies how we 

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learn because not all learning 
time is efficient time. 

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Tim Ferriss who's on the other 
end, who writes books around 

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spinning like, you know, for our
chef and for our body and 4-Hour

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workweek as around learning. 
Something very rapidly gets 

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Really deep and learning things 
rapidly. 

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He's another like I said, 
favorite author of mine suggest 

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that you can Master a skill in 
as little as six months with the

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right training of focus. 
Now here's a particularly unique

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individual that goes all-in and 
I don't know, you know, and 

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that's his job actually. 
So he has a lot of time and I 

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don't think um, you and I 
necessarily are able to just 

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drop everything and focus on the
skill but there might be true 

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for him. 
I think most researchers in the 

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field of Mastery and skills 
management and learning suggests

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that the real figure is around 
two years to master a skill, 

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which is not a long time. 
When you consider that, we kind 

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of suggests that from a years of
experience, a senior be as five 

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years, you know, minimum. 
So two years to master a skill 

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and however, they premise that 
by saying that you're in order 

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to master that you might not Tim
Ferriss it As in just go so deep

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that, you know, it's it consumes
you. 

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But with deliberate, what they 
called, deliberate practice, 

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deliberate practice, you can 
learn a skill and about two 

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years. 
So you can think of deliberate 

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practice like studying for a 
specific course at University or

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specific topic by all the 
discipline around it. 

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But for two years of you were in
that cycle, you would master 

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that skill. 
And so that's the the effort 

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required if you like and the 
duration might be Longer than 

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that of, you have dipped and 
dipped out. 

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So we know the time frames were 
talking about before but you 

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really need to focus on that 
skill, doing it again and again 

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looking at new ways of applying 
it and one of the ways that, you

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know, that you're great, it is 
that you need to be able to 

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teach that to other people. 
And one way we say that good 

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premise or a good way to measure
whether or not you're a good 

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teacher, as you can teach an 
eight-year-old, okay, you can 

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teach a ten-year-old or 
whatever, an eight-year-old at 

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school. 
What the skills about? 

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That means that you have 
actually mastered it. 

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If you can't explain to your 
ten-year-old or in, if you some 

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kids at school that particular 
skill in details so such that 

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they understand it, you probably
haven't mastered it. 

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So it's a really good yardstick 
and of course, I would say that 

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learning a skill requires 
practice as we talked about 

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learning it, applying it. 
So if you've applied it, you can

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talk about it at a seminar. 
If you could apply it to 

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different business context, 
regardless of, you know, the 

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Next project Iran if you can use
that skill again and again and 

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again or notice that you are, 
then you probably have come to a

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point of mastery. 
We, as business analyst, I think

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should first Master those core 
skills in our requirements, 

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elicitation process modeling, 
continuous Improvement, 

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requirements management. 
Well, you know, that, that part 

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of the release going into, 
continuous Improvement, and 

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enterprising, strategic analysis
once we've mastered those areas,

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okay? 
So that's your senior level then

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we can move out. 
Those core skills, you know out 

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of the onion onion. 
Diagrams of used the word onion 

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there to the next level 
supporting skills. 

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So they're things like 
sufficient change management. 

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For example, agile business 
analysis would be another 

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example, going deep with data, 
mapping, or data analysis. 

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So those skills are 
supplementary supporting down, 

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not necessary core skills. 
That make you a great be a, but 

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they do allow you to specialize 
in understand other areas. 

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So, So maybe knowing more about 
crms or Erp systems. 

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So for me to be a master, be a, 
it's more, the core Focus. 

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It's not necessary to specify 
from measured by your 

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specializations, but it does 
move us on to one of the 

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merging. 
What are the emerging features 

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skills and competencies for Bas?
What do we need to know about? 

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We just talked about generative 
AI last week around the fact, 

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you do need to understand. 
I Ai and machine learning. 

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And you need to understand data 
science and all The input that 

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goes into that as a ba because 
that's where that's going to 

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have a great impact on our, the 
requirements, elicitation, the 

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requirements processing, and the
process modeling. 

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That's why we need to understand
these things. 

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If we engage our continuous 
learning and, you know, 

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continuous Improvement, learning
mindset about what the future 

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skills and competencies we need 
to understand and add to our 

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bucket and even replaced the 
tools and techniques we've got 

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today. 
Then, you know, we need to look 

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at what are those? 
What are those skills? 

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And not only are we looking at 
emerging Technologies or fields 

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that we can specialize in, we 
adopt other technique. 

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So, I've already talked about 
many times Times. 

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And we've actually Incorporated 
some of the stuff into our 

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framework here at the bit of 
business analysis Institute, we 

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take learning from Lean Startup.
We take learnings from design, 

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human-centered design and we 
apply those to be a, we add them

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to our toolkit replacing old 
ways that we used to do things 

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that just haven't evolved fast 
enough or just stagnant and just

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aren't as good. 
So we replace our toolkit. 

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So we need to replace some of 
the things we do is be as if we 

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see a better way of doing it. 
So, that's a really good - It's 

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around just understanding 
emerging skills and other fields

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that we can apply to business 
analysis and then within 

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business analysis, we see some 
of these kind of specializations

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that come out and I think some 
of the specializations are agile

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analysis. 
So how do you do things quickly?

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How do you work in a scrum team,
understanding scrum, for 

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example, how to rapidly do 
things through the Lean Startup.

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How do you spend a little bit of
money? 

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Product management is part of 
that? 

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The other one is but what I 
would say, business data 

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analysis as opposed to You know,
slowly will system how to apply 

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data to make greater decisions, 
how you feed them into machine 

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learning models. 
You really need to understand 

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how to visualize data. 
I think that be as need to 

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understand that if you're one of
the tech areas around cyber 

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security and access to 
information is really important.

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It is not something that 
particularly excites me, but I 

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do know that needs to be done. 
Well, there needs to be be as 

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who operate in that space really
well. 

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And the other one is around. 
Probably The product ownership 

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because it has you know had a 
huge impact into the would have 

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be a and again I think getting 
your scrum service probably the 

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best place to start or your 
product owner certification 

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offered at Scrambler or very 
cheaply for you to understand 

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how that work. 
What I recall release and 

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requirements management works. 
Okay? 

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So it's around, sorry delivery 
and requires management. 

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I should say, it's around the 
delivery cycle of the delivery 

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team, and requirements 
management, and how that works 

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and a distinct way. 
A within the agile environment 

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and I would argue that, that 
model could be used in any 

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environment when it comes down 
to delivery. 

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So, learn those skills. 
I'll repeat them. 

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Again, you need to understand 
agile to a tee. 

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At least scrum. 
What? 

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And combine business data, 
analytics AI generative Ai and 

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just discriminative Ai. 
And what that means 

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cybersecurity if you're working 
in that space you will touch it 

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as a ba. 
You do need to understand around

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print. 
The Privacy Act, how to look 

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after people's information. 
That's that's that's obviously 

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the you know, privacy side of 
things and then this is cyber 

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security side just making sure I
see. 

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Systems are robust to deal with 
you know, hackers and access to 

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information. 
And then the other one is just 

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really, really know your 
delivery and requirements 

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management processes. 
Which the, which were you could 

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say, is to find quite well, by 
the product ownership role. 

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It's going to stink subset of 
business analysis. 

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To be continued skills and human
centered design and II that will

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continue to change the way that 
we work as Bas. 

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So just having that learning 
mindset and being curious when 

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00:18:56,800 --> 00:19:00,400
you read something on LinkedIn 
or another article and then 

329
00:19:00,400 --> 00:19:03,800
going and learning about it as a
ba, is the best way to broaden 

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00:19:03,800 --> 00:19:05,800
out some of those supporting 
skills. 

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00:19:06,000 --> 00:19:10,700
But make sure that you go back 
and you just reflect on how good

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00:19:10,700 --> 00:19:13,700
you are at those core skills. 
If you're not that great, Look 

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00:19:13,700 --> 00:19:18,300
it's look we a lot of us have 
done lots of projects. 

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00:19:18,300 --> 00:19:21,500
You don't control necessarily 
what types of projects because 

335
00:19:21,500 --> 00:19:23,500
you can get Typecast a little 
bit and be a. 

336
00:19:23,800 --> 00:19:28,800
And so for example you may be 
just not that great relatively 

337
00:19:28,800 --> 00:19:30,400
at writing. 
I don't know. 

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00:19:30,700 --> 00:19:33,600
You are user stories. 
So if you're not then go and 

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00:19:33,600 --> 00:19:35,300
learn it. 
There's plenty of reasonably. 

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00:19:35,400 --> 00:19:38,000
Researchers is some shame and 
saying I'm a senior be a and I'm

341
00:19:38,000 --> 00:19:40,500
actually not that good at 
writing user stories of not as 

342
00:19:40,500 --> 00:19:42,900
good as my junior. 
So I'm going to go learn and 

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00:19:42,900 --> 00:19:46,800
refine my My core skill and that
for me, if you refine out those 

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00:19:46,800 --> 00:19:50,000
core skills and understand 
enough of the specialist skills 

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00:19:50,000 --> 00:19:54,000
and supporting skills and start 
to have a learning mindset and 

346
00:19:54,000 --> 00:19:57,800
focus on those emerging skills, 
that's what makes your master. 

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I've just thrown at you and 
yeah, come back to me with any 

348
00:20:08,100 --> 00:20:06,300
questions. 
I've just thrown at you and 

349
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yeah, come back to me with any 
questions.

