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The Better Business Analysis 
Institute. 

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Presents the Better Business 
Analysis podcast with. 

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Kingsman Walsh Hi everybody and 
welcome to the show. 

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Today I have a very special 
guest and that guest is Ashwin 

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Shikar, also known as Ash to his
friends. 

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Ash loves his craft beer and 
he's a great BA. 

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Ash also has an amazing back 
story. 

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He was originally born in India.
He completed his studies there 

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and actually has a Bachelor of 
Communication and Media Studies 

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from Chennai University. 
He then traveled to Dubai where 

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he worked in media and 
advertising and other related 

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industries. 
Before making a determination 

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that he wanted to be a business 
analyst. 

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He looked around the world and 
he applied for the Bachelor of 

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Professional Business Analysis 
at Victoria University here in 

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New Zealand. 
He was accepted, he completed 

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his degree and later he finished
his master's in business 

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analysis. 
Ash currently works for Surety 

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Consulting as a Business Analyst
consultant, and his latest gig 

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or his project that he's on at 
the moment is where he is 

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required to be both a business 
analyst and a data analyst. 

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So we're going to get into that 
today and it's lovely to have 

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you here, Ash. 
Welcome to the show. 

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Thanks, Ben. 
Thank you for the opportunity. 

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Yeah, feels good. 
So, Ash, you've got an 

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interesting career, obviously 
born in India and you've made 

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your way to New Zealand. 
Maybe you could tell us a bit 

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about your background? 
Yeah, sure. 

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Where do I start? 
I mean, I think I've been in 

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quite a few industries as you 
mentioned. 

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It took me some time before I 
got to. 

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Where I am and what I'm doing 
right now, I started off as you 

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mentioned, doing a Bachelors in 
Visual Communication. 

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So that's more of into the IT 
was, yeah, it was an interesting

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degree As such. 
It touched on the surface of a 

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lot of topics, more around media
itself, but the things which 

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really. 
Appealed to me from that was 

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graphic designing and content 
writing. 

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That's where I quickly found out
where my passion lies. 

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And also that is where I found 
that I was pretty keen on the 

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aspect of paying attention to 
detail as well. 

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Not only from a design 
perspective but also from a 

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content perspective as well. 
So finished up the degree, I 

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moved to Dubai. 
I got my first role as 

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advertisement controller for a 
publication called Gulf News, 

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and I spent about five years in 
that company. 

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It was more around building ads,
proofreading ads, making sure 

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that they are compliant with 
different industry standards and

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government standards. 
But for some reason all my peers

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and all my managers saw that 
spark in me in terms of client 

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relationships and client 
engagement. 

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So that's where I thought, OK, 
it's probably a good turn to 

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move to a role which was more 
customer facing. 

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So that's when I got into client
servicing as a role and I had, I

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had a really good opportunity to
work for a company called EMAR. 

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They are the property 
constructors, so they 

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essentially own the Dubai Mall 
and the Burj. 

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Khalifa, yeah. 
So I was basically working as a 

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client servicing executive for 
some time for a particular 

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entertainment attraction of 
this. 

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It was a company called Kidzania
where they kind of it was a 

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role-playing activity which we 
provided for kids, where they 

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kind of learn what it is to go 
out into the real world. 

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And we tried to mimic kind of 
activities that they would 

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really need to do in the future 
and instill those values in them

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as well, giving them knowledge 
about what does it mean to have.

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Kind of a career or a job or a 
skill set and the importance of 

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education as well and how you 
can actually achieve those 

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things. 
So from client servicing, I 

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moved into the sponsorship space
wherein I was in charge of 

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bringing in clients who could 
provide that facility to the 

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kids. 
So that was an interesting space

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as well and combining that 
experience with publication. 

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Experience. 
I kind of moved into an account 

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management role where I started 
looking at selling ads for a 

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magazine that was print and 
digital. 

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So it kind of gave me a good 
understanding in terms of how to

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manage people. 
A lot of things, a lot of 

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things. 
Did you from that, Yeah. 

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So you were kind of on this 
journey, if you like. 

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Working out what you what you 
wanted to achieve which is very 

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very common for a lot of Bas. 
They don't a lot of them don't 

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necessarily start in the 
business analysis space. 

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Even myself who may have had a 
bit more of a structured career 

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from working out it you know I 
went to did sound engineering or

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you know I traveled the world 
OK. 

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So you're finding yourself in 
Dubai. 

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You've done quite a lot of, 
quite a lot of stuff. 

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I. 
Did a lot of stuff. 

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And then I thought, okay, yes, 
go ahead it was. 

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Time. 
And then I decided, yes, it's 

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time to actually take a 
completely change. 

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I wanted to move places as well 
and it so happened that 

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Wellington in New Zealand came 
up as an option and that's when 

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I heard about. 
Career in business analysis is 

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an opportunity and that kind of 
was a perfect fit for me because

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it encapsulated all the skill 
sets that I had learnt or where 

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I had experience in. 
And that's when I decided to 

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move to New Zealand. 
A friend of mine, his wife, had 

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completed the course from 
Victoria University some time 

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before. 
And she recommended the place 

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and I moved here, completed the 
Masters and the rest was 

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history, I would guess. 
But New Zealand has been really 

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kind to me. 
A lot of opportunities. 

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It was hard, it was difficult 
finding your feet within the 

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industry because Master A 
Masters does give you that foot 

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in the door. 
But it is a bit difficult. 

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It definitely is. 
Difficult to get into it. 

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So yeah, let me, let me let me 
ask you that question. 

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So you've got yourself to New 
Zealand. 

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You've had you've had a lot of 
experience actually quite in a 

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corporate environment quite you 
know high level roles would be 

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like or at least middle 
management roles quite a lot of 

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exposure. 
So confidence when dealing with 

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clients and after a lot of 
people who are who aren't, who 

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weren't born in New Zealand or 
even want to, you know I guess 

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more of the Western countries if
you like, who will, will, will 

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listen to this podcast and have 
interest about how you firstly 

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were able to even get into New 
Zealand or or Australia. 

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Not that we're special, but that
there is you know a visa process

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there. 
So I think a lot of people will 

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be encouraged to hear what 
they've heard. 

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And I guess your your, your 
story wasn't just you know work 

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in a contact center you know 
staying there you went to do 

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what you've done a few things 
which would have helped. 

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So tell me, I guess I've got two
questions there. 

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One is, why do you think that 
you were easily accepted into 

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New Zealand in the 1st place? 
And then secondly, with the 

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Masters program, how did you get
into that? 

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And then we'll talk about how 
that might have helped you next 

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to. 
Address the first question. 

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It wasn't an easy journey 
getting to New Zealand. 

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To be honest. 
I had to do a lot of research as

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well. 
It was trying to gauge which is 

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the best location. 1st, to move 
to because I wanted to move to a

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place where and I could call it 
my home in the future. 

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That was a long term goal for 
me, and not only that, the only 

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institute where I would say that
specializes in business 

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analysis. 
Was only offered through 

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Victoria University, so that 
became an easy choice for me in 

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terms of narrowing down the 
country and the region that I 

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wanted to stay in and 
considering the experience that 

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I had, which came from a design 
background and from a 

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communication background and 
client management as well, that 

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helped it. 
Helped me really easily 

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transition into the role of a 
business analysis, business 

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analyst I would say. 
So that was that was the main 

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driver and what facilitated me 
as well. 

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So just to clarify, you came in 
on a student visa? 

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Yes, yes. 
OK, cool. 

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So. 
I came in on a student visa 

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which offered me also a 
three-year work. 

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Visa post completion. 
So that was one of the perks of 

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also choosing New Zealand as a 
country because any other part 

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of the world like Australia or 
Canada, they don't have that 

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three-year facility for a work 
visa. 

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And and also when I mentioned in
terms of specialization in 

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business analysis, I don't think
that any any other university 

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provides that it is, it's 
probably a supplementary. 

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Course or kind of a major as 
part of our information 

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technology degree or something? 
Like that, so that was. 

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One of the biggest, yeah, that's
interesting. 

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I mean, obviously I went to 
university a long time before 

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you. 
I'm a little bit older than you,

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Ash, but I just slightly. 
But when I went to Waikato, you 

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know, which is known as a 
computer science hub in New 

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Zealand and internationally, 
very much focused more on the 

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programming side. 
There was not a specialization 

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in terms of business analysis at
all. 

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In some ways the management of 
school had more of a focus on 

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business, you know analyzing 
business if you like. 

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So that was interesting. 
So yeah, there's. 

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So I think we've asked the time 
1:00 you got through, you chose 

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New Zealand for the right 
reasons. 

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You've also got your work. 
You've now got your into your 

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place in terms of, in terms of 
the University of Wellington and

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back. 
And then you've also got the 

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idea that you know that when if 
you finished a degree, you've 

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got three years of work, which 
was what was one of the 

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attracting factor, which is 
great because then you can prove

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yourself right And then and then
you know that you can apply for 

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a permanent residency after 
that, which would have been 

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attractive. 
And you've now, yeah, you've 

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actually found that there's not 
many even in the world. 

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There's not many places where 
you can specialize. 

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In business analysis. 
So that's quite surprising, 

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right? 
And that's quite amazing for 

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our, for me and our field that 
that doesn't exist. 

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OK, cool. 
So you've you land, you're going

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straight into your master's 
degree. 

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And did you Were you originally 
a bachelor's moving to master's,

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or did you sign up for the 
master's program straight away? 

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No, I finished my bachelor's, 
which was a three-year course, 

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and then it was actually a gap 
of 10 years before I decided I 

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should study. 
Further. 

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So I finished up my bachelor's 
back in 2008, and I did my 

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master's in 2019, so it was 
exactly 10 years later. 

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So. 
It was a big step for me, but I 

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thought that was something 
necessary. 

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Yeah, cool. 
And did you, how do you, in 

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terms of your master's or your 
degree, that was, you know, from

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a university, which is, like we 
said, is quite unusual. 

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How do you think that helped you
in your career or even getting, 

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you know, your first BA job here
in New Zealand? 

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I think there are pros and cons 
to that. 

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The best thing which came out of
the Masters, I would say is 

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giving you that strong 
foundation in the skill and that

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is the beauty of Victoria 
University as well and how they 

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actually designed the 
curriculum. 

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It touches on every single 
aspect what a business analyst 

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needs to know from a technical 
perspective and from a business 

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perspective as well. 
Though see either way, it all 

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depends upon you in terms of 
finding that space or that area 

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which you would really like to 
specialize in and then gaining 

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that experience. 
That's something which a Masters

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doesn't give you. 
It gives you all the tools. 

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It gives you all the skill sets 
that you need to get your feet 

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running. 
Yes, just like any other course.

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And the beauty about Victoria 
is, well, it gives you that 

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opportunity to work hands on. 
With. 

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Some of the industry players as 
well and I had got that fabulous

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chance to actually work with 
certain organizations in New 

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Zealand as part of the course 
itself. 

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So I did my internship with New 
Zealand Stock Exchange which was

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a really good learning 
experience and. 

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There were other organizations 
also which we touched upon like 

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TEC. 
There was one which I really 

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liked to Transparent Dog, the 
beer company. 

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So it was interesting, but 
that's the beauty of the course 

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as well. 
The management go out of the way

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00:14:38,040 --> 00:14:40,520
in terms of finding you 
something which can actually 

232
00:14:40,520 --> 00:14:45,610
give you that hands on training.
And that is something which is 

233
00:14:45,610 --> 00:14:47,370
really good with Victoria 
University, Yeah. 

234
00:14:47,730 --> 00:14:49,930
No, Yeah. 
So I would have to say that 

235
00:14:49,930 --> 00:14:53,890
that's fantastic to hear. 
And I think as we've, as we talk

236
00:14:53,890 --> 00:14:57,890
about often, you know it's the 
devil is in the detail once 

237
00:14:57,890 --> 00:15:00,010
you're working, you start to 
apply these skills. 

238
00:15:00,010 --> 00:15:03,570
So it's really hard to apply 
some of the things. 

239
00:15:03,890 --> 00:15:07,730
To the health. 
And that's the other side of 

240
00:15:08,330 --> 00:15:12,290
doing a masters as well, because
once your foundation is strong. 

241
00:15:13,060 --> 00:15:16,900
See, what I've realized is as a 
business analyst, once you have 

242
00:15:16,900 --> 00:15:18,980
a masters, it gives you that 
foot on the door. 

243
00:15:19,020 --> 00:15:22,180
It gives you a strong 
foundation, but it doesn't count

244
00:15:22,180 --> 00:15:24,860
for the experience as well. 
The experience is something that

245
00:15:24,860 --> 00:15:32,940
you need to gain on the job, and
at times, once you fill your 

246
00:15:32,940 --> 00:15:36,460
basket with so many things that 
you can do or how you can 

247
00:15:36,460 --> 00:15:41,020
approach things, it's up to the 
individual to know which. 

248
00:15:42,130 --> 00:15:45,210
Tool to actually take out of his
box, to apply for the situation 

249
00:15:45,530 --> 00:15:48,770
and that's where it goes back to
that individual and how you can 

250
00:15:48,770 --> 00:15:53,490
gauge a situation and how you 
know what is best for the 

251
00:15:53,490 --> 00:15:56,730
problem at hand. 
So that is something which I 

252
00:15:56,730 --> 00:15:59,370
don't think any any degree can 
teach you. 

253
00:15:59,450 --> 00:16:03,890
That's that's something which 
comes with experience and as 

254
00:16:03,890 --> 00:16:06,970
much as experience that I've 
come from different backgrounds.

255
00:16:06,970 --> 00:16:10,210
And yes, it helps me with my 
current job, but. 

256
00:16:10,970 --> 00:16:17,930
As a business analyst, I'm not 
new, but at the same time I'm 

257
00:16:18,130 --> 00:16:21,450
there, I'm somewhere 
intermediate as I would say 

258
00:16:21,450 --> 00:16:24,170
intermediate to senior. 
The only reason which is 

259
00:16:24,170 --> 00:16:28,050
stopping me from becoming a 
senior or anything is having 

260
00:16:28,050 --> 00:16:36,490
that what you would say, that 
presence of mine. 

261
00:16:36,890 --> 00:16:40,530
And knowing exactly how to react
to different situations. 

262
00:16:40,930 --> 00:16:44,930
And it goes back to what I was 
saying in terms of sometimes if 

263
00:16:44,930 --> 00:16:49,570
you have too many options, then 
you might get stuck in terms of 

264
00:16:49,890 --> 00:16:52,650
which option do you go with. 
And that can become a 

265
00:16:52,650 --> 00:16:55,490
contradiction. 
Yeah, no, I completely agree. 

266
00:16:55,490 --> 00:16:58,770
I think that that's well said. 
I mean I'm going to clarify 

267
00:16:58,770 --> 00:17:01,290
something with you from my 
perspective and I'm going to 

268
00:17:01,290 --> 00:17:04,579
talk about I guess a little bit 
about the bit of business 

269
00:17:04,660 --> 00:17:09,099
Analysis Institute and how we've
tried to address what you've 

270
00:17:09,099 --> 00:17:11,339
just talked about there. 
I think it's really good. 

271
00:17:11,339 --> 00:17:13,579
I mean I've heard great things 
from yourself. 

272
00:17:14,339 --> 00:17:16,579
You know, I've seen it 
advertised in terms of the 

273
00:17:16,579 --> 00:17:17,780
degree. 
It definitely sounds like there 

274
00:17:17,780 --> 00:17:21,339
was value at the Vic degree and 
how they've approached the 

275
00:17:21,339 --> 00:17:24,260
curriculum which is modern day. 
So I think that's fantastic. 

276
00:17:24,500 --> 00:17:26,339
One thing I want to clarify is 
you call yourself an 

277
00:17:26,339 --> 00:17:28,540
intermediate BA. 
What I would say, knowing that 

278
00:17:28,540 --> 00:17:32,120
you know we worked together in 
the past is you are actually a 

279
00:17:32,120 --> 00:17:36,560
senior business analyst if you 
were out in the market. 

280
00:17:36,680 --> 00:17:41,240
So for listeners, you're looking
for a beer at some point. 

281
00:17:41,400 --> 00:17:44,440
ASH is definitely a senior 
business analyst and we'll talk 

282
00:17:44,440 --> 00:17:46,400
about this in a minute. 
However, Ash works in a 

283
00:17:46,400 --> 00:17:50,680
consultancy company and I would 
say that consultancy business 

284
00:17:50,680 --> 00:17:54,760
analysis is more difficult than 
permanent business analysis. 

285
00:17:54,840 --> 00:17:57,720
That's that well might get a 
whole lot of messages from us. 

286
00:17:59,080 --> 00:18:00,600
You're working for a 
consultancy. 

287
00:18:00,600 --> 00:18:01,840
You have to understand each 
client. 

288
00:18:01,840 --> 00:18:04,760
You have to rapidly understand 
what's going on. 

289
00:18:04,760 --> 00:18:06,840
It's a little bit like contract 
business analysis. 

290
00:18:06,840 --> 00:18:11,960
So Ash, just so you know, I do 
consider yourself a senior 

291
00:18:11,960 --> 00:18:15,280
business analyst in market 
terms, yes, 100%. 

292
00:18:16,600 --> 00:18:20,800
And the other aspect, I think 
just coming through here and 

293
00:18:20,800 --> 00:18:23,240
I'll ask you how you think this 
relates. 

294
00:18:24,130 --> 00:18:27,170
So you've got your degree, 
you've done some work experience

295
00:18:27,170 --> 00:18:29,290
through internship, which is 
fantastic. 

296
00:18:29,290 --> 00:18:31,650
And like we talked about, you 
talked about the New Zealand 

297
00:18:31,650 --> 00:18:36,050
Stock Exchange, NZX Para Dog, 
which happens to be a brewery, 

298
00:18:36,050 --> 00:18:38,250
which I can understand you love 
your craft beer. 

299
00:18:38,690 --> 00:18:41,090
And then the other option was 
TC, which is actually our 

300
00:18:41,090 --> 00:18:43,970
Tertiary Education Commission 
here in New Zealand which funds 

301
00:18:44,050 --> 00:18:49,090
our universities and 
polytechnics In terms of what 

302
00:18:49,090 --> 00:18:52,450
we've tried to do in the Better 
Business Analysis Institute is 1

303
00:18:52,450 --> 00:18:57,410
can dense that knowledge in 
terms of its backbone in terms 

304
00:18:57,410 --> 00:19:01,170
of a six weeks, you know well 
level one, level 2, Level 3, but

305
00:19:01,410 --> 00:19:03,330
level one course in terms of six
weeks. 

306
00:19:03,810 --> 00:19:07,890
But also I think what's 
important is what tool do you 

307
00:19:07,890 --> 00:19:12,170
take out of your toolbox. 
You've just mentioned that and 

308
00:19:12,770 --> 00:19:16,130
and and and and I think there's 
a lot of Bas who are probably 

309
00:19:16,130 --> 00:19:20,930
listening going of maybe the I 
IBA certified, maybe they've got

310
00:19:20,930 --> 00:19:26,310
a degree, they what do I use, 
what phase am I in in the 

311
00:19:26,310 --> 00:19:31,310
project and what tool do I use? 
Is that kind of, am I, am I kind

312
00:19:31,310 --> 00:19:33,150
of picking up what you're 
putting down here? 

313
00:19:33,150 --> 00:19:34,430
Is that? 
What you're talking about, 

314
00:19:34,430 --> 00:19:37,150
absolutely. 
Because at different stages of a

315
00:19:37,150 --> 00:19:40,430
project life cycle, there are 
different tools that you're 

316
00:19:40,430 --> 00:19:45,430
being taught as as an analyst in
order to best address the 

317
00:19:45,430 --> 00:19:48,150
situation at hand. 
And there are multiple ways. 

318
00:19:48,150 --> 00:19:49,790
There's no right way. 
There's no wrong way. 

319
00:19:50,580 --> 00:19:53,580
And you can also use a hybrid of
different approaches as well, 

320
00:19:53,980 --> 00:19:58,860
but knowing when to use it, how 
to use it, and especially 

321
00:19:59,740 --> 00:20:03,540
knowing when to do pull back if 
you know that something you've 

322
00:20:03,540 --> 00:20:06,060
tried and it's not working. 
I think, yeah. 

323
00:20:06,700 --> 00:20:11,140
That that that is what stands 
you apart from the rest, and 

324
00:20:11,180 --> 00:20:15,580
that comes with experience, but 
that also comes with having a 

325
00:20:15,660 --> 00:20:17,700
good presence of mind as well. 
You need to. 

326
00:20:17,820 --> 00:20:20,140
You need to as they say you need
to read your. 

327
00:20:21,060 --> 00:20:24,620
Audience, Yes, it goes to the 
same way as well. 

328
00:20:24,620 --> 00:20:27,940
In terms of when you're trying 
to implement something, try to 

329
00:20:27,940 --> 00:20:31,380
see how it's going. 
If it's not working, don't feel 

330
00:20:31,380 --> 00:20:33,260
safe. 
Scared to say that. 

331
00:20:33,300 --> 00:20:35,540
No it's not. 
Let's let's try something. 

332
00:20:35,540 --> 00:20:39,940
The sooner you do that, the 
better it is in terms of what 

333
00:20:39,940 --> 00:20:42,260
you're trying to deliver. 
Yeah, I think that's really good

334
00:20:42,260 --> 00:20:43,780
advice. 
I mean, one of the things that I

335
00:20:43,780 --> 00:20:48,180
think we've talked about maybe 
through some coaching sessions 

336
00:20:48,260 --> 00:20:52,810
is step back. 
So you you talk about presence 

337
00:20:52,810 --> 00:20:55,490
of mind, so you're in the 
environment, use presence of 

338
00:20:55,490 --> 00:20:58,090
mind, you know, focus on what 
you're doing, which I think is 

339
00:20:58,090 --> 00:21:00,410
great advice. 
And then I think I'm an 

340
00:21:00,410 --> 00:21:03,730
extension of that for me and I'm
not very good at Peace of Mind 

341
00:21:03,730 --> 00:21:05,490
by the way. 
But one of the things I am good 

342
00:21:05,490 --> 00:21:08,930
at is stepping back. 
And I think when people say step

343
00:21:08,930 --> 00:21:12,850
back, not not necessarily step 
back for breath, which is also 

344
00:21:12,850 --> 00:21:16,770
good mental health wise, but 
step up from whatever you're 

345
00:21:16,770 --> 00:21:20,280
doing as a BA, you never have. 
You never. 

346
00:21:20,280 --> 00:21:22,480
You'll never fail if you step. 
Up. 

347
00:21:22,840 --> 00:21:26,280
In terms of the organizational 
structure closer to your actual 

348
00:21:26,320 --> 00:21:30,040
ultimate end client, either 
being the customer, external 

349
00:21:30,040 --> 00:21:33,720
customer or your ultimate 
business, you know, business 

350
00:21:33,720 --> 00:21:39,440
organization, so OK, cool, so, 
so, so right now in terms of 

351
00:21:39,440 --> 00:21:44,600
your world, you're you're a 
consultant moving into a senior 

352
00:21:44,600 --> 00:21:48,140
consultant. 
And the piece of work that 

353
00:21:48,140 --> 00:21:54,580
you're working on now is for a 
large New Zealand client and you

354
00:21:54,580 --> 00:21:58,460
happen to be working in the data
analysis space. 

355
00:21:58,460 --> 00:22:03,340
Would that be fair? 
To say okay, So what? 

356
00:22:03,420 --> 00:22:04,420
How do you? 
Define it. 

357
00:22:04,500 --> 00:22:07,180
How do you define what you're 
working on right now? 

358
00:22:07,540 --> 00:22:12,380
It's a tricky one, yeah. 
And I mean. 

359
00:22:16,100 --> 00:22:19,500
The thing that I would say is 
tricky about the project that 

360
00:22:19,500 --> 00:22:26,380
I'm working on is I'm basically 
shuffling between the business 

361
00:22:26,380 --> 00:22:30,260
architect and the solution 
architect within the data space.

362
00:22:31,100 --> 00:22:35,540
So as a business analyst, from a
business perspective, you're 

363
00:22:35,540 --> 00:22:38,900
looking at requirements, you're 
looking at different aspects of 

364
00:22:38,900 --> 00:22:41,640
data. 
Yes, you go into the of the 

365
00:22:41,640 --> 00:22:44,000
data, but from a technical 
perspective and you're working 

366
00:22:44,000 --> 00:22:46,960
with solution architect, that's 
more of going into the technical

367
00:22:46,960 --> 00:22:50,120
side of how do you actually 
build your database or how do 

368
00:22:50,120 --> 00:22:54,480
you actually so. 
You're in a hybrid situation of 

369
00:22:54,480 --> 00:22:57,320
kind of BA hat as well as DA, 
yeah. 

370
00:22:57,560 --> 00:23:02,760
So data analytics or data 
analytics? 

371
00:23:03,230 --> 00:23:05,830
Role can be split up, right? 
And we've talked about this, 

372
00:23:05,830 --> 00:23:07,430
I've talked about this for some 
team members. 

373
00:23:07,790 --> 00:23:11,710
So one, you've got the 
consumption of data, so how you 

374
00:23:11,710 --> 00:23:14,950
would consume the data in order 
to meet business requirements, 

375
00:23:15,110 --> 00:23:16,910
is that right? 
And then the other one is 

376
00:23:16,910 --> 00:23:19,750
actually processing the data and
how we're going to actually 

377
00:23:20,350 --> 00:23:23,270
engineer the data in a technical
way to get out what we want. 

378
00:23:23,350 --> 00:23:25,510
Is that fair? 
Yeah, absolutely. 

379
00:23:25,630 --> 00:23:28,070
How, how? 
How are you actually gonna? 

380
00:23:28,070 --> 00:23:31,030
What is the data that you need? 
How are you going to get it? 

381
00:23:31,030 --> 00:23:35,150
How is it going to be ingested 
into a database? 

382
00:23:35,150 --> 00:23:38,670
What type of a database that you
think is suitable for the 

383
00:23:38,670 --> 00:23:42,670
organization? 
So all those decisions also you 

384
00:23:42,670 --> 00:23:49,710
need to keep in mind and that's 
where actually it goes back to 

385
00:23:49,710 --> 00:23:51,950
what I was saying in terms of a 
business analyst and the 

386
00:23:51,950 --> 00:23:55,910
education that you get, you get 
the foundations, you know you 

387
00:23:55,910 --> 00:23:57,630
have a strong footing in terms 
of. 

388
00:23:57,990 --> 00:24:00,230
Having that overall picture, 
having that overall 

389
00:24:00,230 --> 00:24:04,990
understanding, it just boils 
down to you as an individual and

390
00:24:04,990 --> 00:24:09,310
how far do you want to actually 
step forward and go right? 

391
00:24:09,950 --> 00:24:12,430
Cuz you're not bound to know 
everything. 

392
00:24:12,430 --> 00:24:13,870
Nobody's bound to know 
everything. 

393
00:24:14,830 --> 00:24:16,670
And. 
But you never do, right? 

394
00:24:16,670 --> 00:24:19,790
That's part of our as most 
projects no matter what. 

395
00:24:19,830 --> 00:24:23,590
Even I get nervous now I've done
the maybe the I know what the 

396
00:24:23,590 --> 00:24:27,280
gig's gonna involve. 
And you just don't know. 

397
00:24:27,280 --> 00:24:30,560
It's if the people are 
different, even if the processes

398
00:24:30,560 --> 00:24:32,600
are fundamentally the same that 
biggerly called something 

399
00:24:32,600 --> 00:24:37,000
different, you know you don't 
and usually the context is 

400
00:24:37,000 --> 00:24:39,240
slightly different or at least 
the data is different. 

401
00:24:40,720 --> 00:24:45,120
So therefore, yeah, so, so I 
think the unknown, the known 

402
00:24:45,120 --> 00:24:49,600
unknowns or the puzzle because 
it is puzzle piece is, is just 

403
00:24:49,600 --> 00:24:53,240
what BA is about and that's OK. 
Absolutely. 

404
00:24:53,860 --> 00:24:56,860
And being a BA, I think you need
to be open to that. 

405
00:24:57,260 --> 00:24:59,820
You have to have that mindset 
wherein you're going into 

406
00:24:59,820 --> 00:25:03,060
something which is gonna be 
completely ambiguous, and how do

407
00:25:03,060 --> 00:25:05,700
you actually manage through 
that? 

408
00:25:06,100 --> 00:25:09,100
And you need to be confident as 
an individual, and you need to 

409
00:25:09,100 --> 00:25:12,940
believe in yourself as well, 
because if not, then this is the

410
00:25:13,980 --> 00:25:16,100
wrong kind of career path for 
you. 

411
00:25:16,100 --> 00:25:19,140
If you don't think of it in that
way, yeah. 

412
00:25:19,220 --> 00:25:23,060
No, I think a good analogy that 
I use often is. 

413
00:25:23,490 --> 00:25:26,770
You're driving down the street, 
so imagine a street, right? 

414
00:25:27,610 --> 00:25:31,450
Maybe it's a barren street at 
night, and there's mist. 

415
00:25:33,170 --> 00:25:36,170
You you can you can take two 
approaches. 

416
00:25:36,810 --> 00:25:40,010
You you don't know what's ahead,
so you can slow right down 

417
00:25:40,450 --> 00:25:44,130
toward crawling pace, and the 
world will become clearer to you

418
00:25:44,170 --> 00:25:47,210
as you move forward. 
Or you can drive at a safe pace,

419
00:25:47,210 --> 00:25:51,070
so a little bit faster. 
Just expect that you're ready 

420
00:25:51,070 --> 00:25:52,870
for the unknown. 
And I think a BA needs to 

421
00:25:52,870 --> 00:25:56,190
operate in that the speed needs 
to still be there or not 

422
00:25:56,190 --> 00:25:59,230
necessarily at the full degree. 
And you just need to accept that

423
00:25:59,230 --> 00:26:03,070
you just don't know what's next.
And then as you move closer, the

424
00:26:03,070 --> 00:26:06,990
mist clears as you move forward.
And I think that is probably a 

425
00:26:06,990 --> 00:26:11,150
good analogy for what we deal 
with and that never goes away. 

426
00:26:11,790 --> 00:26:16,910
Absolutely, as part of your your
education or learning as well 

427
00:26:17,310 --> 00:26:18,990
you. 
There's something called the 

428
00:26:18,990 --> 00:26:22,230
VUCA framework which you go 
through which kind of helps you 

429
00:26:22,230 --> 00:26:26,470
assess different situations and 
how to react to different types 

430
00:26:26,470 --> 00:26:29,110
of environments, but that is 
something that you can apply to 

431
00:26:29,110 --> 00:26:31,350
your personal self as well to 
see. 

432
00:26:31,390 --> 00:26:32,870
How exactly? 
You are saying that? 

433
00:26:33,470 --> 00:26:38,550
Yeah, explain that to me. 
So the VUCA it's something which

434
00:26:38,550 --> 00:26:46,830
is your vulnerability, 
different, accountable it's. 

435
00:26:47,760 --> 00:26:49,080
You put me on the spot right 
now. 

436
00:26:49,280 --> 00:26:51,080
And that's OK. 
I'm not gonna give you a quiz, 

437
00:26:51,280 --> 00:26:52,720
but it's something for people to
work at. 

438
00:26:52,720 --> 00:26:54,400
How do you say the framework? 
And I'll get. 

439
00:26:54,800 --> 00:26:56,920
So it's called the VUCA 
framework. 

440
00:26:56,920 --> 00:27:04,080
It's basically, yeah, VUCA. 
So it's different ways of 

441
00:27:04,080 --> 00:27:06,680
actually assessing a different 
type of an environment. 

442
00:27:09,580 --> 00:27:11,780
So that's something that you're 
being. 

443
00:27:12,020 --> 00:27:14,180
Volatility. 
And volatility. 

444
00:27:14,180 --> 00:27:16,380
There you go. 
Not vulnerability. 

445
00:27:16,420 --> 00:27:19,460
Yeah, ambiguity. 
That's the one. 

446
00:27:19,620 --> 00:27:22,660
That's the one, yeah. 
So that's something that you can

447
00:27:22,660 --> 00:27:26,420
apply to your individual self at
any given time as well, because 

448
00:27:27,820 --> 00:27:30,700
you're put into situations 
wherein from a project 

449
00:27:30,700 --> 00:27:34,460
perspective or from a role 
perspective, you're trying to 

450
00:27:34,620 --> 00:27:37,500
gauge things from different 
levels. 

451
00:27:38,210 --> 00:27:41,130
But sometimes, as you were 
saying, you also need to step 

452
00:27:41,130 --> 00:27:42,650
back and actually assess 
yourself. 

453
00:27:42,650 --> 00:27:46,770
Also in terms of how are you 
planning to address certain 

454
00:27:46,770 --> 00:27:49,490
things which are part of your 
project, How are you evaluating 

455
00:27:49,490 --> 00:27:52,730
yourself also? 
That is very critical, I think, 

456
00:27:52,730 --> 00:27:58,610
as an individual and as a 
professional also. 

457
00:28:00,130 --> 00:28:01,370
Yeah. 
No, I completely agree. 

458
00:28:02,290 --> 00:28:04,450
I think you're right. 
And I think those factors there 

459
00:28:04,450 --> 00:28:06,370
are very, very important to 
review. 

460
00:28:07,770 --> 00:28:12,650
So let's flip back into the fact
that you've got these two roles.

461
00:28:12,850 --> 00:28:16,930
What do you think is the 
difference between the data 

462
00:28:16,930 --> 00:28:19,330
analysis space that you're 
having to do at the moment and 

463
00:28:19,330 --> 00:28:20,770
the business analysis? 
What do you think the 

464
00:28:20,770 --> 00:28:25,050
differences? 
I think there's not much of a 

465
00:28:25,050 --> 00:28:27,970
difference. 
It's when you get completely 

466
00:28:27,970 --> 00:28:32,970
technical. 
So that's where it stands out 

467
00:28:32,970 --> 00:28:39,920
from a business. 
Business focused data analyst, 

468
00:28:40,320 --> 00:28:43,560
you're basically doing more of 
the background, the design work 

469
00:28:43,720 --> 00:28:49,440
you're looking at doing a lot of
you're not delivering a product.

470
00:28:49,840 --> 00:28:54,600
So the delivery happens by the 
technical PA, whereas all the 

471
00:28:55,080 --> 00:28:59,280
kind of discovery that happens 
from a business side of a data 

472
00:28:59,280 --> 00:29:03,880
analyst and that is where most 
of my time is going under the 

473
00:29:03,880 --> 00:29:08,380
discovery side of things. 
Whereas having working close or 

474
00:29:08,380 --> 00:29:12,500
rather working closely with the 
solution architect is giving me 

475
00:29:12,500 --> 00:29:21,220
that level of kind of experience
from the solutionizing aspect of

476
00:29:21,580 --> 00:29:23,820
a data analyst as well. 
Because that's where it kind of 

477
00:29:23,820 --> 00:29:28,580
gets a little bit technical 
because depending on the way 

478
00:29:28,580 --> 00:29:31,500
that the reports or the way that
data is going to be delivered 

479
00:29:31,500 --> 00:29:34,210
and consumed by the business. 
There's a little bit of 

480
00:29:34,210 --> 00:29:37,210
experience or expertise that you
need from a technical side of 

481
00:29:37,210 --> 00:29:38,330
things. 
And. 

482
00:29:38,690 --> 00:29:44,490
That is where though I have that
knowledge, though I come with 

483
00:29:44,490 --> 00:29:48,770
the background around that it's.
Always a new It's always new. 

484
00:29:48,770 --> 00:29:52,090
Something ambiguous is already 
always coming up and you're 

485
00:29:52,090 --> 00:29:54,290
always volatile, right? 
It goes back to that framework 

486
00:29:54,290 --> 00:29:55,970
as well, so you need to assess 
yourself. 

487
00:29:55,970 --> 00:29:57,610
Also step back and assess 
things. 

488
00:29:57,970 --> 00:30:00,610
If you don't know what is 
happening in a situation, always

489
00:30:00,610 --> 00:30:02,770
ask. 
That's the first place to go or 

490
00:30:02,770 --> 00:30:05,890
also just take a just step back 
and see how exactly things are 

491
00:30:05,890 --> 00:30:09,890
happening. 
But the key difference is, as a 

492
00:30:09,890 --> 00:30:12,650
business analyst in the data 
space, you can either be in the 

493
00:30:12,650 --> 00:30:15,090
discovery part of things or you 
can be in the delivery part of 

494
00:30:15,090 --> 00:30:16,210
things. 
And. 

495
00:30:16,450 --> 00:30:20,090
Both are completely different 
skill sets that would come into 

496
00:30:20,090 --> 00:30:21,330
play. 
Cool. 

497
00:30:21,450 --> 00:30:23,210
So when we talk about the 
delivery side. 

498
00:30:23,630 --> 00:30:25,870
Which I would consider not 
business analysis. 

499
00:30:25,870 --> 00:30:29,270
So for me that's where the where
you drop off not the Cliff but 

500
00:30:29,270 --> 00:30:32,350
you drop into a new role you you
you that's for. 

501
00:30:32,510 --> 00:30:34,110
So I think you're right. 
I think there is a whole of 

502
00:30:34,110 --> 00:30:39,190
business data analysis slash BA 
work business data analysis 

503
00:30:39,190 --> 00:30:42,630
which is the how datas could be 
consumed and used and that's 

504
00:30:42,630 --> 00:30:45,550
where I draw the line and then 
the rest production. 

505
00:30:45,550 --> 00:30:47,990
For me that is that's that's a 
technical role. 

506
00:30:47,990 --> 00:30:50,500
That's a different. 
Mindset and actually you'd be 

507
00:30:50,500 --> 00:30:52,460
stronger if you knew more about 
the tools. 

508
00:30:52,740 --> 00:30:57,220
The latest technology, data 
science for example, would be 

509
00:30:57,220 --> 00:31:00,380
where you should start. 
And do you agree with that in 

510
00:31:00,380 --> 00:31:03,300
terms of the viewers starting A?
Game, Yeah, absolutely. 

511
00:31:03,660 --> 00:31:06,460
And yeah, good. 
Yeah, cool. 

512
00:31:06,780 --> 00:31:10,100
Now just a question about that, 
the delivery side, even though 

513
00:31:10,100 --> 00:31:12,700
that's another job role if you 
like. 

514
00:31:13,750 --> 00:31:15,830
This you said you're working 
closely with the solution 

515
00:31:15,830 --> 00:31:17,830
architect and I've got a lot of 
architect friends. 

516
00:31:18,310 --> 00:31:21,710
You know some that some it's 
quite interesting working with 

517
00:31:21,710 --> 00:31:23,510
architect. 
Sometimes you can battle with 

518
00:31:23,510 --> 00:31:25,030
them. 
There should always be tension 

519
00:31:25,030 --> 00:31:27,950
with an architect because they 
want to design the perfect 

520
00:31:27,950 --> 00:31:30,830
solution. 
And you as a BA defining the 

521
00:31:30,830 --> 00:31:33,070
requirements and not necessarily
looking for perfection. 

522
00:31:33,070 --> 00:31:35,150
You're looking for the outcome, 
right? 

523
00:31:35,150 --> 00:31:38,310
Not necessarily a shiny piece of
term now. 

524
00:31:40,420 --> 00:31:43,780
I've done a lot of work back in 
the day, Systems analysis which 

525
00:31:43,780 --> 00:31:48,980
is where BA first came about and
Systems Analysis is now split 

526
00:31:48,980 --> 00:31:52,100
between business analysis and 
also solution architecture. 

527
00:31:52,940 --> 00:31:59,460
Do you think that the delivery 
side of data analysis is a sub 

528
00:31:59,460 --> 00:32:01,780
function of solution 
architecture? 

529
00:32:01,940 --> 00:32:03,780
It's just the grunt work behind 
it. 

530
00:32:06,660 --> 00:32:08,780
I think the solution 
architectures. 

531
00:32:09,440 --> 00:32:13,920
Ends at very high level, right? 
So you're. 

532
00:32:13,960 --> 00:32:15,640
Saying it's the low level 
version. 

533
00:32:16,360 --> 00:32:21,040
Of I would say the low level is 
where actually the BA would get 

534
00:32:21,040 --> 00:32:25,720
involved in, but in order for a 
solution architect to have that 

535
00:32:25,720 --> 00:32:28,360
high level view, he has to be 
completely informed from the 

536
00:32:28,360 --> 00:32:30,280
discovery side of things. 
So that's where a business 

537
00:32:30,280 --> 00:32:32,600
analyst branches between 
everything. 

538
00:32:32,760 --> 00:32:33,400
OK. 
Cool. 

539
00:32:33,600 --> 00:32:36,160
I'm gonna hold you there. 
So we've got our Discovery BA, 

540
00:32:36,400 --> 00:32:39,240
which you're doing BA work. 
Feeding into a solution 

541
00:32:39,240 --> 00:32:41,600
architect Completely agree. 
And a project manager is the 

542
00:32:41,600 --> 00:32:46,120
three amigo model. 
But the grunt work under the 

543
00:32:46,120 --> 00:32:51,000
solution, which is do you that 
role we're talking about? 

544
00:32:51,880 --> 00:32:55,520
Sometimes people call it a 
technical BA role, yeah, 

545
00:32:55,600 --> 00:32:58,640
sometimes they call it a systems
analyst, sometimes they call it 

546
00:32:58,680 --> 00:33:04,560
maybe a specialist data science.
Do you consider that just the 

547
00:33:04,880 --> 00:33:07,240
the grunt work that the 
architect doesn't want to do? 

548
00:33:08,340 --> 00:33:11,140
Or it's not their role because 
they are high paid professional 

549
00:33:11,140 --> 00:33:13,620
at the high level? 
I mean. 

550
00:33:13,820 --> 00:33:18,340
See, it depends upon what you've
been contracted to do or what 

551
00:33:18,380 --> 00:33:20,340
what you're you're being given 
to do. 

552
00:33:21,140 --> 00:33:24,180
But I think the more that the 
solution architect gets into 

553
00:33:24,180 --> 00:33:28,580
that level of detail, the better
informed he is or he or she is 

554
00:33:28,580 --> 00:33:32,940
in terms of solutionizing 
something he needs, he or she 

555
00:33:32,940 --> 00:33:35,700
needs to have that level of 
detail to make an informed 

556
00:33:35,700 --> 00:33:37,780
decision. 
And that's where I think. 

557
00:33:38,180 --> 00:33:42,220
The BA plays a really big role 
because thats the BAS 

558
00:33:42,220 --> 00:33:46,260
responsibility to communicate 
that across correctly to those 

559
00:33:46,260 --> 00:33:50,100
concerned. 
Its getting the right level of 

560
00:33:50,100 --> 00:33:53,220
information from the business 
and communicating that to the 

561
00:33:53,220 --> 00:33:58,740
solution architects so that he 
can make decisions based off 

562
00:33:58,740 --> 00:34:06,100
what is required, needed and not
what is wanted or what he or she

563
00:34:06,100 --> 00:34:08,460
thinks is ideal for. 
For the business. 

564
00:34:09,139 --> 00:34:11,380
Yeah, I'm pushing you there 
because it's an interesting 

565
00:34:11,380 --> 00:34:15,219
space is that for me, I feel 
like it's it's the unknown 

566
00:34:15,219 --> 00:34:18,420
factor about who who plays that 
role, who does the lower level. 

567
00:34:18,780 --> 00:34:21,260
It's actually solutionizing for 
me, it's solution. 

568
00:34:21,260 --> 00:34:25,179
Because for example, let's take 
a really, really, really common 

569
00:34:25,179 --> 00:34:28,179
example. 
You've got two systems and you 

570
00:34:28,179 --> 00:34:32,780
want to take, let's just say 
someone's name, maybe it's in a 

571
00:34:32,780 --> 00:34:35,780
full name field. 
So let's. 

572
00:34:36,350 --> 00:34:40,030
Right. 
So Ben Walsh, and you're moving 

573
00:34:40,030 --> 00:34:42,630
that to a new system, let's not 
worry about how it's moved, 

574
00:34:42,630 --> 00:34:45,909
maybe through APIs And the 
other, the system you're moving 

575
00:34:45,909 --> 00:34:50,150
it to has a first name and a 
last name field, Okay. 

576
00:34:50,590 --> 00:34:54,830
So you know there needs to be 
data transformation done and you

577
00:34:54,830 --> 00:34:59,950
have to map those fields, 
correct. 

578
00:35:00,030 --> 00:35:04,790
And you can challenge me here, 
The business doesn't care how 

579
00:35:04,830 --> 00:35:06,620
that's done. 
Yep. 

580
00:35:06,860 --> 00:35:10,620
The business just wants first 
name here and they actually 

581
00:35:10,620 --> 00:35:14,220
want, sorry, full name here. 
They may even want full name 

582
00:35:14,220 --> 00:35:16,620
here. 
But you know that the database 

583
00:35:16,620 --> 00:35:18,980
only accepts first name, last 
name, so you have to get it in 

584
00:35:18,980 --> 00:35:20,900
there. 
For me, that's part of the 

585
00:35:20,900 --> 00:35:24,180
solution Solutionizer. 
That's the solution that you're 

586
00:35:24,180 --> 00:35:25,740
putting in place. 
Yep. 

587
00:35:26,300 --> 00:35:30,860
Is it the Ba's responsibility? 
I'll put you on the spot to 

588
00:35:31,020 --> 00:35:34,140
provide that mapping and the 
pseudo code for transformation. 

589
00:35:34,660 --> 00:35:36,980
Or is it the solution architect 
and the delivery teams? 

590
00:35:39,340 --> 00:35:42,100
I would say it's definitely the 
business analyst's 

591
00:35:42,300 --> 00:35:44,340
responsibility to actually 
provide that level of 

592
00:35:44,340 --> 00:35:47,820
information. 
Wow, OK, that's what we might 

593
00:35:47,820 --> 00:35:50,060
disagree. 
So for me that requires 

594
00:35:50,060 --> 00:35:53,340
technical expertise and that's 
not value for the business. 

595
00:35:53,340 --> 00:35:55,980
That is, well, it is valuable 
because it's working. 

596
00:35:56,380 --> 00:35:59,420
But for me that means you 
require a specialist skill in 

597
00:35:59,420 --> 00:36:03,620
order to do that, and how you do
that depends on the solution. 

598
00:36:04,100 --> 00:36:09,020
And therefore the BA is not is 
not is too focused of the 

599
00:36:09,020 --> 00:36:10,940
solution. 
It's quite interesting, that's, 

600
00:36:11,220 --> 00:36:14,540
yeah. 
So probably it's worth 

601
00:36:14,540 --> 00:36:17,860
clarifying when I said it's a 
responsibility of the BA, it's a

602
00:36:17,980 --> 00:36:21,020
responsibility of the BA to 
define how that happens. 

603
00:36:21,880 --> 00:36:25,640
It's only the business who knows
what level of transformation or 

604
00:36:25,640 --> 00:36:28,040
what business logic is required.
But they don't. 

605
00:36:28,040 --> 00:36:31,320
The business doesn't know. 
So the business has no idea that

606
00:36:31,320 --> 00:36:35,880
the solution is going to split 
into the database first name and

607
00:36:35,880 --> 00:36:37,600
last name. 
They don't care because they are

608
00:36:37,600 --> 00:36:40,640
at the user interface level, 
They just see a full name field.

609
00:36:41,560 --> 00:36:43,640
So why does that? 
The business doesn't understand 

610
00:36:43,640 --> 00:36:45,760
how that performs. 
And this is this ambiguity 

611
00:36:45,760 --> 00:36:49,200
phase, which for me is where 
Ba's need to step back and say, 

612
00:36:49,200 --> 00:36:52,910
actually we don't do that. 
What we do is we are focused on 

613
00:36:52,910 --> 00:36:56,750
what the business wants and on 
their wants and their needs to 

614
00:36:56,750 --> 00:36:59,870
deliver a solution. 
And for me personally and what 

615
00:36:59,990 --> 00:37:03,230
would I, you know, push for in 
the Better Business Analysis 

616
00:37:03,230 --> 00:37:05,910
Institute as we draw a line 
there and we said we don't do 

617
00:37:05,950 --> 00:37:09,150
that. 
So what are your feelings? 

618
00:37:09,150 --> 00:37:12,590
If I was drawing that line 
firstly, how would you feel if I

619
00:37:12,590 --> 00:37:14,310
draw that line? 
Would that make you frustrated? 

620
00:37:14,470 --> 00:37:17,230
I know you can do it. 
That's whether or not you should

621
00:37:17,230 --> 00:37:19,470
I. 
Would say. 

622
00:37:21,400 --> 00:37:25,000
In an environment where you have
adequate amount of resources, 

623
00:37:25,960 --> 00:37:30,080
who can take that level of 
responsibility or have that 

624
00:37:30,080 --> 00:37:37,000
clear delineation and most and 
most projects come with that 

625
00:37:37,480 --> 00:37:42,160
resource capacity, so it is good
to define that well in the 

626
00:37:42,160 --> 00:37:44,400
beginning. 
In terms of where you draw that 

627
00:37:44,400 --> 00:37:48,520
line, it shouldn't be a case 
that you get get into it 

628
00:37:48,520 --> 00:37:51,900
full-fledged. 
And then at some point down the 

629
00:37:51,940 --> 00:37:55,060
delivery stream, you realize 
that this is something that 

630
00:37:55,060 --> 00:38:00,260
needs to be delivered by a 
different resource and not by 

631
00:38:00,260 --> 00:38:02,620
you. 
So having those, that is where 

632
00:38:02,620 --> 00:38:04,020
project management comes into 
play. 

633
00:38:04,420 --> 00:38:08,100
This has to be well clearly 
defined at the start of a 

634
00:38:08,100 --> 00:38:10,260
project before you move into the
delivery phase. 

635
00:38:10,860 --> 00:38:12,980
Yeah, Yeah. 
So I think you're getting to a 

636
00:38:12,980 --> 00:38:15,020
good point there. 
The reality is as with. 

637
00:38:15,450 --> 00:38:18,170
A gig on one which is not 
dissimilar to what you will 

638
00:38:18,170 --> 00:38:22,090
focus on at the moment. 
It usually falls to the BA 

639
00:38:22,210 --> 00:38:28,570
because there isn't anyone else.
And you may have those skills, 

640
00:38:28,570 --> 00:38:30,770
but you may not, right? 
That's the thing. 

641
00:38:30,810 --> 00:38:34,090
It depends on the BA. 
Because if you're a business 

642
00:38:34,090 --> 00:38:37,330
focused BA, you may not 
understand database structures. 

643
00:38:37,330 --> 00:38:41,370
Or sorry, you might understand 
it at a conceptual level, but 

644
00:38:41,370 --> 00:38:44,890
you might not understand data 
mapping, yeah? 

645
00:38:46,010 --> 00:38:48,450
You know, really good. 
It's a really good debate. 

646
00:38:49,810 --> 00:38:53,490
Yeah, that's absolutely true. 
I mean, as an individual, you 

647
00:38:53,490 --> 00:38:56,890
also need to know exactly what 
your strengths and weaknesses 

648
00:38:56,890 --> 00:39:00,450
are and you need to communicate 
that across very clearly as well

649
00:39:00,450 --> 00:39:04,170
so that it doesn't fall on you 
as an where you become 

650
00:39:04,170 --> 00:39:07,650
accountable for something. 
If you think that this is 

651
00:39:07,650 --> 00:39:11,610
something that you do not have 
the level of expertise, or if 

652
00:39:11,610 --> 00:39:13,770
you think that this is way ahead
of you. 

653
00:39:14,210 --> 00:39:17,850
Terms of what you can deliver, 
you need to be plain and simple 

654
00:39:17,850 --> 00:39:21,850
about it right from the start. 
So you said that you ended up in

655
00:39:21,850 --> 00:39:24,490
the situation you're having to 
do this lower level data 

656
00:39:24,490 --> 00:39:28,570
mapping, which is what I which 
many Bas will find themselves 

657
00:39:28,610 --> 00:39:31,290
because it will just be like 
have you done it or actually 

658
00:39:31,290 --> 00:39:34,450
it's expected even if you don't 
have those skills because it's 

659
00:39:34,450 --> 00:39:39,290
associated, what advice do you 
have for Bas in that situation? 

660
00:39:39,290 --> 00:39:41,750
So the Bas first. 
They're playing in the data 

661
00:39:41,750 --> 00:39:43,390
analysis space. 
They're having to do some of 

662
00:39:43,390 --> 00:39:46,990
this delivery work. 
What resources or skills, 

663
00:39:47,910 --> 00:39:53,430
websites or skills or tools do 
you think BI should get familiar

664
00:39:53,430 --> 00:39:55,510
with, just in case they're in 
this situation? 

665
00:39:58,310 --> 00:40:01,230
See, I would say it's completely
depend. 

666
00:40:01,350 --> 00:40:04,430
Having the general understanding
in terms of how data mapping 

667
00:40:04,550 --> 00:40:07,510
works itself, that gives you a 
really good head start. 

668
00:40:08,070 --> 00:40:09,350
There are a lot of resources 
out. 

669
00:40:09,800 --> 00:40:11,200
Out there, that can help you do 
that. 

670
00:40:11,520 --> 00:40:15,840
But depending on the solution 
that you're going with, if it's 

671
00:40:15,840 --> 00:40:18,160
a specific solution, say if 
you're going with Power BI, 

672
00:40:19,120 --> 00:40:21,720
there are a lot of learning 
resources there and everything 

673
00:40:21,720 --> 00:40:22,880
can see. 
That's the thing. 

674
00:40:22,880 --> 00:40:26,920
That's the beauty about a skill.
It can be taught, right. 

675
00:40:27,120 --> 00:40:31,880
It's different from a soft skill
that is something managing 

676
00:40:31,880 --> 00:40:34,000
people, for example. 
That's something that cannot be 

677
00:40:34,000 --> 00:40:35,240
taught. 
You need to learn it. 

678
00:40:35,240 --> 00:40:39,050
You have to go through that. 
Whereas a skill is something 

679
00:40:39,050 --> 00:40:40,930
that can be learned. 
You just need to put in that 

680
00:40:40,930 --> 00:40:46,450
time and effort and have that 
kind of the mindset that you 

681
00:40:46,450 --> 00:40:48,970
want to learn. 
Because if you don't have that, 

682
00:40:50,050 --> 00:40:53,730
then it's not gonna be possible.
In terms of resources, what are 

683
00:40:53,730 --> 00:40:56,650
the places that you can go? 
There are different places if 

684
00:40:56,650 --> 00:40:59,130
you're a visual person, I'm, I'm
more of a visual person. 

685
00:41:00,810 --> 00:41:03,930
I like watching videos in terms 
of how things are done. 

686
00:41:04,280 --> 00:41:07,400
That helps me better keep myself
better informed. 

687
00:41:07,880 --> 00:41:12,360
If there are some really 
critical things which I need 

688
00:41:12,360 --> 00:41:18,080
some more knowledge around of I 
don't find any visual kind of a 

689
00:41:18,080 --> 00:41:19,960
resource that can help me keep 
that informed. 

690
00:41:20,040 --> 00:41:24,120
Then I would look to read 
additional about things. 

691
00:41:25,280 --> 00:41:30,200
But I feel personally YouTube is
a really good place to start as 

692
00:41:30,200 --> 00:41:33,890
well the heaps of resources out 
there which can help you keep 

693
00:41:34,250 --> 00:41:37,610
informed. 
So it just depends on find that 

694
00:41:38,090 --> 00:41:41,970
resource which helps you the way
that you are able to grasp 

695
00:41:41,970 --> 00:41:43,210
things. 
Yeah. 

696
00:41:43,890 --> 00:41:47,050
I think one of the skills that 
we teach at the Better Business 

697
00:41:47,050 --> 00:41:50,650
Analysis Institute, which we say
is actually part of our 

698
00:41:50,650 --> 00:41:53,730
framework, is a conceptual data 
model. 

699
00:41:54,570 --> 00:41:59,410
So understanding the concept, so
you have a conceptual data model

700
00:41:59,890 --> 00:42:02,410
and then under that you have the
Physical model. 

701
00:42:02,410 --> 00:42:04,770
So you kind of have a logic, the
logic behind it. 

702
00:42:04,810 --> 00:42:06,890
Logic I do think is the BA 
space. 

703
00:42:07,050 --> 00:42:10,770
So I think understanding what is
a database table, even if the 

704
00:42:10,770 --> 00:42:14,090
solution isn't a database table,
understanding that there's 

705
00:42:14,090 --> 00:42:16,450
something called a table with 
fields. 

706
00:42:17,310 --> 00:42:21,070
Which have values and that are 
displayed to the user that we 

707
00:42:21,070 --> 00:42:23,990
just talked about before the 
fact that fields can be joined 

708
00:42:23,990 --> 00:42:27,950
together concatenated. 
I would suggest that 

709
00:42:28,030 --> 00:42:32,550
understanding having advanced 
skills in Excel is always 

710
00:42:32,550 --> 00:42:39,670
helpful and exactly so I think. 
If you can use Excel with anger 

711
00:42:39,910 --> 00:42:43,710
and you understand the concepts 
of a data model or database, 

712
00:42:43,790 --> 00:42:45,750
relational database, don't worry
about anything else. 

713
00:42:46,320 --> 00:42:50,000
Then you should be in a good 
space to be able to tackle the 

714
00:42:50,000 --> 00:42:54,120
basics of data analysis. 
Would be my two cents there. 

715
00:42:54,960 --> 00:42:57,200
Yeah, absolutely. 
I'll completely agree with you. 

716
00:42:59,640 --> 00:43:04,440
A fairly good knowledge about 
Excel is a really good starting 

717
00:43:04,440 --> 00:43:09,600
point for anything related to 
data, and that's something which

718
00:43:09,600 --> 00:43:12,320
is easily accessible to every 
single person as well. 

719
00:43:12,880 --> 00:43:16,910
And then playing around, there's
a lot of places where you can a 

720
00:43:16,910 --> 00:43:22,550
lot of websites which allow you 
to model databases, query 

721
00:43:22,630 --> 00:43:27,590
databases, relational databases,
and I would recommend doing 

722
00:43:28,150 --> 00:43:33,750
that. 
SQL, basically SQL or different 

723
00:43:33,750 --> 00:43:35,990
languages, depending. 
If you have an inkling of 

724
00:43:35,990 --> 00:43:38,630
knowing where this project is 
going, what the solution is 

725
00:43:38,630 --> 00:43:41,190
going to look like, playing 
around with that. 

726
00:43:41,190 --> 00:43:45,190
There are so many places in on 
the Internet that you can go 

727
00:43:45,190 --> 00:43:48,990
where and you have models or 
mockups of those type of 

728
00:43:48,990 --> 00:43:51,950
solutions where you can just go 
play around with because that 

729
00:43:51,950 --> 00:43:56,110
gives you an understanding and 
you need to have that base 

730
00:43:56,110 --> 00:43:57,510
understanding of how things 
work. 

731
00:43:58,190 --> 00:44:03,430
Yes, conceptually, database, a 
relational database, What is the

732
00:44:04,150 --> 00:44:07,190
table, what is the dimension, 
What is the fact table. 

733
00:44:07,750 --> 00:44:12,710
All that is good to know, but 
you also need to have that 

734
00:44:12,710 --> 00:44:15,870
understanding in terms of what 
makes a fact table, what are the

735
00:44:15,910 --> 00:44:19,390
elements or what are the 
attributes, what is a 

736
00:44:19,390 --> 00:44:23,990
dimensional table. 
So all that when you from a 

737
00:44:23,990 --> 00:44:30,790
theoretical perspective that is 
one kind of a mindset or giving 

738
00:44:30,790 --> 00:44:33,630
you that base knowledge, but 
when you're actually applying 

739
00:44:33,630 --> 00:44:36,150
it, it can be completely 
different because you're 

740
00:44:36,150 --> 00:44:38,510
applying it to something which 
is very specific to an 

741
00:44:38,510 --> 00:44:42,440
organization or to a project. 
So you need to have that that 

742
00:44:42,440 --> 00:44:46,480
foundation very clear in terms 
of what what makes up those 

743
00:44:46,800 --> 00:44:51,800
those building, building blocks.
Building blocks, Yeah yeah yeah.

744
00:44:51,800 --> 00:44:53,760
I think that's a good way of 
describing it if you understand 

745
00:44:53,760 --> 00:44:56,000
the building blocks. 
And for me if you got to a 

746
00:44:56,000 --> 00:45:00,480
position where the complexity 
was beyond, I've got this this 

747
00:45:00,480 --> 00:45:04,720
tab in excel, this sheet which 
is a table and this is another 

748
00:45:05,760 --> 00:45:09,520
tab sheet in excel and this is a
table and this is the data I 

749
00:45:09,520 --> 00:45:12,750
want in it. 
For me, that would be natural 

750
00:45:12,750 --> 00:45:16,430
progression to go. 
Hey, we may need to bring in an 

751
00:45:16,430 --> 00:45:18,830
actual data analyst to help us 
from this point. 

752
00:45:19,910 --> 00:45:23,350
Yep. 
And so they would understand how

753
00:45:23,350 --> 00:45:25,950
it's used, how it's structured, 
how it's going to be reported 

754
00:45:25,950 --> 00:45:30,270
on, if you're getting down to 
DAX queries and Power BI. 

755
00:45:30,800 --> 00:45:33,480
You are. 
That is not something that you 

756
00:45:33,480 --> 00:45:34,920
can acquire in a couple of 
weeks. 

757
00:45:34,920 --> 00:45:36,240
It's something that requires a 
few. 

758
00:45:36,880 --> 00:45:41,120
You need to, you need to have a 
specialization in that area, and

759
00:45:41,120 --> 00:45:45,640
it's always best for a BA to 
make that delineation, as you 

760
00:45:45,640 --> 00:45:49,840
said, once it moves into that 
highly technical space. 

761
00:45:50,080 --> 00:45:58,000
If you're not skilled enough to 
be accountable for that, make 

762
00:45:58,000 --> 00:46:02,680
sure you make it clear and let 
someone else do that. 

763
00:46:02,760 --> 00:46:08,200
Because if not, then yeah, it's 
not the right approach to go, 

764
00:46:08,280 --> 00:46:09,120
yeah. 
No. 

765
00:46:09,120 --> 00:46:12,200
But also as you're doing that, 
like you said, it's about time 

766
00:46:12,360 --> 00:46:15,400
and meanwhile your users don't 
know what's going on and you 

767
00:46:15,400 --> 00:46:18,320
should be spending time with 
them as a BA as opposed to down 

768
00:46:18,320 --> 00:46:20,840
in the database. 
Yeah, no, that's really 

769
00:46:20,840 --> 00:46:25,240
interesting. 
So Ash is I'm gonna just ask you

770
00:46:25,240 --> 00:46:28,320
a couple of rapid fire questions
before we wrap up today. 

771
00:46:28,320 --> 00:46:30,120
It's been a really good 
conversation. 

772
00:46:30,400 --> 00:46:34,560
What would you say is your least
favorite thing about business 

773
00:46:34,560 --> 00:46:43,320
analysis? 
The least favorite aspect is. 

774
00:46:48,760 --> 00:46:52,200
He thinks. 
I know it's a very difficult 

775
00:46:52,200 --> 00:46:54,560
question, right? 
Because the only reason I got 

776
00:46:54,560 --> 00:46:57,720
into it because I like 
everything but the most gruesome

777
00:46:57,720 --> 00:47:06,840
thing is I think trying to cope 
with ambiguity, if that is 

778
00:47:06,840 --> 00:47:09,440
something which is always gonna 
happen and you need to get 

779
00:47:09,440 --> 00:47:11,240
accustomed to it. 
Yeah. 

780
00:47:12,120 --> 00:47:16,040
And what would you think your 
most favorite part of BA is? 

781
00:47:16,440 --> 00:47:20,040
I think engaging with users? 
I do quite enjoy that. 

782
00:47:21,280 --> 00:47:22,760
Yeah. 
Yeah. 

783
00:47:22,760 --> 00:47:25,200
I think that's pretty common 
now. 

784
00:47:25,840 --> 00:47:28,120
Two other questions not related 
to BA. 

785
00:47:29,140 --> 00:47:31,060
What is your favorite song of 
all time? 

786
00:47:32,380 --> 00:47:39,180
Ooh, there are so many. 
The one song, the one song which

787
00:47:39,220 --> 00:47:43,460
will always be my top favorite, 
is it's called An American Dream

788
00:47:43,460 --> 00:47:47,060
by the Nitty Gritty Dirt brand. 
Nice. 

789
00:47:48,180 --> 00:47:48,580
Nice. 
Yeah. 

790
00:47:49,300 --> 00:47:51,500
So I grew up. 
I grew up listening to that 

791
00:47:51,500 --> 00:47:53,500
song, and that'll always be one 
of my favorites, yeah. 

792
00:47:54,260 --> 00:47:56,980
And finally, your favorite 
movie. 

793
00:47:59,330 --> 00:48:05,450
Ooh, my favorite movie. 
I would go with Pat Adams. 

794
00:48:06,570 --> 00:48:09,170
Nice. 
Thank you very much, Ash. 

795
00:48:09,210 --> 00:48:10,770
That's been a really great 
conversation. 

796
00:48:10,770 --> 00:48:13,290
Hopefully those listening, you 
know there's different 

797
00:48:13,290 --> 00:48:15,610
perspectives. 
We've talked about the idea of a

798
00:48:15,610 --> 00:48:19,610
degree, you know, what they gave
to you, the idea of your journey

799
00:48:19,610 --> 00:48:21,610
to get to New Zealand from, you 
know. 

800
00:48:23,310 --> 00:48:25,870
Immigrating here. 
And then also finally just 

801
00:48:25,870 --> 00:48:29,150
talking about BA and outer space
and they'll debate around how 

802
00:48:29,150 --> 00:48:34,790
far do you go as BA and when is 
it appropriate for you to, you 

803
00:48:34,790 --> 00:48:38,270
know, call in for some some 
specialized help. 

804
00:48:39,790 --> 00:48:42,870
Thank you, Ash. 
Thank you so much, Ben, as well 

805
00:48:42,870 --> 00:48:44,070
for the opportunity. 
Yeah. 

806
00:48:44,550 --> 00:48:47,510
Thank you. 
I'll speak to you soon. 

807
00:48:47,790 --> 00:48:48,390
Bye. 
Bye.

