Analyst Talk - Beyond the Lecture: Arizona’s Hands-On Analyst Academy

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Welcome to Analyst Talk with Jason Elder.
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It's like coffee with an analyst or
whiskey with an analyst while organizing
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a spreadsheet, linking crime events,
uncovering patterns, identifying a
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series, and getting the latest updates on
associations, training, and technology.
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So have a good walk, drive safely, or
enjoy your run while joining us as we
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define the law enforcement analysis
profession one episode at a time.
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How we doing, Alice?
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Jason Elder here with a special
presentation from LEA Podcasts.
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Back to the show is Brittany Winslow
to talk about the new Arizona Law
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Enforcement Analyst Training and Academy.
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A, a program built from the
original training the FLEAT
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training here in Florida.
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They now have the Arizona equivalent,
so we wanted to bring her on to talk
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about the Arizona version what it is
and what it's not, and how it compares
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and contrasts to the FLEAT training
in Florida Brittany, how we doing?
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Hey, Jason.
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Thanks for having me on today.
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I am doing wonderful.
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How about yourself?
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I am doing well.
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I guess it's always hot in
Arizona, but is is things
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treating you okay over in Arizona?
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No, it,
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things are.
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Today is actually one of a
very rare rainy days out here.
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Oh.
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So it's under 100 degrees,
which for August is unheard of.
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Yeah.
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So I am loving looking out the
window and seeing all the rain today.
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Man, does everything just stop?
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How many d- how many- It
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does
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…
how many rainy days do you get a year?
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Do you know?
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Not very many as of recently.
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Yeah.
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We used to have great monsoon weather
over the summer- Oh, okay … where it
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would rain, but now it's it's enough
to get your car dirty and that's it.
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Okay.
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But We've had a lot of rain
today, so it's been pretty nice.
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All right.
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All right.
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It's-
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It just, it's all dead and brown
and, you know- … Arizona.
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But sunny and bright, right?
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Sunny and bright, there
you go, and really hot.
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You open your door and
it's stepping into an oven.
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It's fine.
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All right.
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Let's start from the beginning.
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I mentioned fleet, … for the Florida
version of this a- analyst academy,
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but there might be listeners that might
not even be familiar with that program.
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So-
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Sure
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…
let's just maybe take
it from the beginning.
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We'll go over the basics of
what the academy is, and I know
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there's a training version.
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And just we'll break everything
down, and then we'll get into
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some of the comparisons later.
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Absolutely.
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You might know more about how
the Florida one started or
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what- … class the Florida one is on.
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However couple years ago, Arizona some
upper heads from the Arizona Department
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of Public Safety's ACTIC Center,
so the . Arizona Counter Terrorism
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Intelligence Center , They went out
to Florida to go see what it was that
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Florida offered for their law enforcement
analyst trainings as well as their
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law enforcement analyst academies.
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When we sent individuals over
there, they partnered with
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believe it was Kyle back then.
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I don't know who's running
the Florida departments now.
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But they partnered with them to
bring this training over here
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to the west side of the country.
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I know one of the things that we
found that we loved is that everyone
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in Florida seems to be trained to a
base level, much like you would as
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an officer if you're going through
your own academy as an officer.
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Everyone has this base level of
training that you're expected to uphold
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and expected to have this knowledge
of before you go and get your dis-
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your department-specific training.
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So in Arizona, we decided to copy, with
permission of course and we brought back
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all of the training materials as well as
the program, all of the PowerPoints all
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of the, the homework and the exercises
that they work on, we brought back all
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of that and implemented our own version.
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Now, what I mean when I say we implemented
our own version, we took what Florida had
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to offer, and we changed little bits here
and there to fill in what Arizona had.
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A lot of our charging statutes
are different in Arizona.
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A lot of our just rules of thumb, our
standard operating procedures are a
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little bit different in here in Arizona
from what you guys have in Florida.
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So we adapted the program to really
hit home with all of our analysts here.
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Okay.
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So I just looked it up real quick.
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For Florida, it looks like
they are on class 108-
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Oh,
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wow … and academy 41
coming- Yes … coming up.
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So- That's
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huge.
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… And Arizona is on what?
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So we are just going to be opening
up our class four for our academy.
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Okay.
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Or I'm sorry, we just finished our
class four, is what I should say,
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and we are going to be opening
up our class 12 for the training.
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So this fall, we aim to have
one academy every spring and
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then three to four trainings,
prerequisite classes every fall.
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So this fall we're gonna be having
three different prerequisite
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classes, and then we'll have our
fifth academy come spring of 2027.
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Okay.
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And what all is included with
the 40-hour prereq training?
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Sure.
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So the 40-hour prereq training
is a huge myriad of topics.
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We start the week off by really
having an introduction to
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what it is to be an analyst.
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Our students will learn what the role
of an analyst is, what part they play
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in their agency, and of course, everyone
who comes to the training might have
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very specific roles within their own
department, but as analysts as a whole,
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we should have a thorough understanding
of what roles we can play, right?
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This is more than just the strategic,
tactical, administrative types of analyst
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or even intelligence analyst, right?
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We should all be able to know and
learn data, know how to process this
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data, know how to analyze data, and at
least, at the very least, know how to
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report on what data it is we're working
with, regardless of what that data is.
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We'll have an introduction to our
law enforcement intelligence, what
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that means for the intelligence
world, different acronyms, because
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of course, in law enforcement we
know everyone likes their acronyms.
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So we have a dictionary of
sorts in which they get to learn
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the world of intelligence or
a brief introduction of such.
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Our students are then presented
with a introduction to critical,
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creative, and logical thinking.
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This class in particular has been one
of the favorites purely because it's
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a different way of approaching all of
the data that we're so very used to
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working with or for our new analysts,
those who maybe are unsure of what
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they're going to be getting into.
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We introduce them UCR and NIBRS as
well, so that way no matter what type
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of analyst work they're completing
for their agency, they have a thorough
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understanding of what that means.
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They also get exposed to
different briefing skills and
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digital presentation skills.
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So our analysts have to then
get up in front of the class
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and talk and public speak.
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I know it's terrifying for most people.
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So having that opportunity to get
up in front of the class and speak
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and get that in while you're still
wet and still young here I think
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is a great opportunity for them.
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And then we will close out by going
over data sources, interpretation,
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validation of all of that because again,
no matter what type of data you're
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working with, the most important thing
is that you're layering your data.
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You have all of the validation there.
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You're not just gonna
pull from one aspect.
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You'll pull from multiple aspects to
ensure that your data is validated
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there, and what you're reporting out
is the most accurate as possible.
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And then I actually finish the
week as I teach Microsoft Excel.
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So there's, it's about a day and a half
of Excel, which I know gets a lot of
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people rolling their eyes, but I love it.
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I have a lot of fun, and It's one of
my most entertaining things, 'cause the
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students always come back and they're
like, "I thought I was gonna hate this."
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But I make them have a lot of fun.
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Very good.
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So for the training, is there a
cap for the number of students
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that you'll accept per class?
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Yes, there is.
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We will take no more
than 25 students a class.
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Okay.
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We try to aim around 20.
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Okay … 20 students for the training
class seems to be a really good number
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to kinda get through the training, as
well as making sure that everyone is
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getting the networking opportunities
that they have with different agencies.
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I know that's one of the things
that I would point out here is
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with Arizona, we have far fewer
agencies than what Florida has.
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So a lot of our analysts are very
familiar with each other because
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of the amount of agencies we have.
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And then other than that, A- Arizona,
the way it's spread apart, we've
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got northern, we have southern, but
the vast majority of us are kinda
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in the Phoenix Metro Valley area.
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So a lot of the analysts within
the Phoenix Metro Valley area,
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we all know each other very well.
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So if there's a new analyst, we've
already been talking to them, we've
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already been working with them.
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It's very nice to be able to kinda
put faces to names, and then help
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them develop their skills, because
what happens in my own agency is
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probably happening in their agency.
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And that way, I can be helpful,
and they can be helpful to me.
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Good.
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Y- and you mentioned the networking.
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Is there any limitation in terms of
the number of analysts you'll take per
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department to maybe ensure that diversity?
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Not particularly.
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I will say we try to
spread departments out.
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There are some- … of our
departments within Arizona that have
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a lot more analysts to pull from.
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And then there's a lot of departments
that might only have one or two analysts.
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So we really try to make sure
that we have a good variation of
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agencies here, but sometimes it is
what it is, and we might have- Yeah
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majority from one agency or another.
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Yeah.
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And y- and you probably said this,
and but, and these all have to be
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folks that are currently analysts,
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…
so they are doing some sort
of analytical function.
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We don't require that they
have the analyst title.
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Okay … a lot of people in our area
don't necessarily have those titles.
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Or they might be real
time crime technicians.
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That's kinda been one of the new ones.
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They might be civilian investigators.
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That's another one that
we've seen a lot of.
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They might have some sort of
administrative title, but they're at
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least conducting analytical functions.
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You do have to be fully employed
with a law enforcement agency.
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We won't accept students or
those trying to get into the job.
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Okay.
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But as long as you are working on
some sort of analytical function
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within your career, we'll accept you.
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Okay.
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And then you mentioned that this is a
prerequisite, so I assume they have- Yes
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to pass this class in order to
be eligible for the academy.
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Y- yes, they do.
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Okay.
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They would have to pass this class.
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We've got two different testing
pieces on the training class with
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the Excel portion and then a their
PowerPoint presentation is kinda the
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two main tests that they will have.
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As long as they can pass those two,
then w- they can apply for the academy.
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Now that's back to Excel.
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That's back on you- Yeah … right?
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Yeah.
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I know.
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I know.
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It's it's a lot of fun.
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I will say that since I've been
teaching this Excel class, I think
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I have only ever had one person who
has not passed the Excel, and I, this
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person has been, is actually very
smart and knows what they're doing.
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I think it's more a little test
anxiety, and not necessarily
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a lack of Excel skills.
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Oh.
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Good.
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All right.
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L- then let's get, jump
to the academy then.
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Sure.
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Because this is obviously
a different animal now.
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This is going from, okay, the, the
training was 40 hours, it's one
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week of training, and this academy
is spread out over six months.
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Correct.
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So our academy, much like Florida's,
it is one week a month for six months.
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Our analysts come in, and for that week
they are tasked with various things.
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They have all different schedules
that they're working on throughout
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that week, and then they have homework
that's assigned every week that'll
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be due the week of the following.
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And then at the conclusion of their
academy, they get assigned a strategic
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assessment that they have to complete
that is something that would be
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beneficial for their home agency.
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And throughout the six weeks or six
months of the class that they're in,
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they are conducting an incredibly
thorough analysis, putting together their
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product of their strategic assessment,
and then they have to do a final
250
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presentation of what they have found.
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And this is great opportunity to kinda
get in front of their command staff.
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We invite all of the upper heads of
their leadership from their academy
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or from their agencies to come
out and watch their presentation
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and to see what is what there.
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A lot of our analysts have actually
reported back that due to their
256
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analysis, they've actually gotten
some things changed within their
257
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department, which is pretty cool.
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So definitely very beneficial.
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And then of course we
conclude with a graduation.
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So that sounds… For those that might
be more in the academic realm, that
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almost sounds like a capstone project
that they- It's- … have to complete.
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00:13:01,826 --> 00:13:03,096
It is very similar.
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00:13:03,096 --> 00:13:07,196
I will say Mary Bertuccelli, who
is with Scottsdale Police as well,
264
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she teaches the capstone through
ASU's criminal intelligence or
265
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criminal analysis master's degree.
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And we've had a lot of discussions.
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It's very similar to what
that capstone would be.
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00:13:18,346 --> 00:13:21,876
And that's still a, a
pretty big commitment.
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You talked about one week a month,
and then on top of that, homework.
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That's a pretty big commitment.
271
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Have you gotten much pushback
from the departments on how
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much time that this takes?
273
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So yes and no.
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I will say with the commitment part of
what they are agreeing upon when their
275
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analyst, when they approve their analyst
to attend, is that they understand
276
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that while their analyst is here
for the week, that's their full job.
277
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Now- … we are lucky to be partnering
with the ACTIC or that it's run
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through the Arizona ACTIC here.
279
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Because the ACTIC has several
different analysts who are all going
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to be available if your agency needs.
281
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Because we do have a lot of agencies who
might have, one analyst or two analysts
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only- If you have something pop up that
needs an urgent matter looked into, then
283
00:14:13,578 --> 00:14:17,158
the ACTIC will volunteer one of their
analysts to help you out, so that way
284
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you, your agency is still covered there.
285
00:14:19,728 --> 00:14:19,968
Good.
286
00:14:20,308 --> 00:14:25,758
, One of my probably many soapboxes at this
point on this show- … this podcast,
287
00:14:25,758 --> 00:14:30,598
is just, calling it training when it's
- what I would consider a lecture, right?
288
00:14:30,598 --> 00:14:32,988
You go somewhere-
Sure … you got one speaker.
289
00:14:33,018 --> 00:14:34,708
He or she's speaking.
290
00:14:34,948 --> 00:14:36,178
…
You get awareness.
291
00:14:36,508 --> 00:14:39,858
You maybe get some ideas,
and then you go home.
292
00:14:39,868 --> 00:14:45,168
But in, there's not really that
hands-on training that I think , we
293
00:14:45,168 --> 00:14:48,208
as a profession need more of.
294
00:14:48,238 --> 00:14:49,278
So I'm re- Oh,
295
00:14:49,298 --> 00:14:49,588
Jason
296
00:14:49,588 --> 00:14:51,408
…
this is, I'm so excited
about this idea of-
297
00:14:51,408 --> 00:14:53,618
Have you been listening to
Mike's and my conversations?
298
00:14:55,958 --> 00:14:56,108
No,
299
00:14:56,108 --> 00:14:57,748
I- maybe we've been listening to you.
300
00:14:57,748 --> 00:14:58,508
I don't know.
301
00:14:58,828 --> 00:15:05,368
So Mike and I have this ongoing, I don't
know, conversation I will say because
302
00:15:05,378 --> 00:15:09,948
I, like you, I think there's a huge
difference between training and a lecture.
303
00:15:10,198 --> 00:15:12,938
And, or- Yeah … and I will say, the
way I put it is there's a difference
304
00:15:12,938 --> 00:15:15,038
between speaking and teaching.
305
00:15:15,288 --> 00:15:15,308
Yeah.
306
00:15:15,358 --> 00:15:18,388
I can get up in front of an
audience and s- and speak.
307
00:15:18,638 --> 00:15:23,068
I can explain my case study, and I can
talk about, "Here's what I've done to help
308
00:15:23,408 --> 00:15:27,618
with all the South American theft group
stuff, and here's, here's my experience
309
00:15:27,638 --> 00:15:32,968
here." But that's not teaching somebody
how to do it and get hands-on experience.
310
00:15:33,378 --> 00:15:37,208
So what I love about this
academy is that the vast majority
311
00:15:37,228 --> 00:15:39,868
of our classes are teaching.
312
00:15:39,988 --> 00:15:41,838
They're hands-on experience.
313
00:15:42,158 --> 00:15:48,128
You are having to get in and start
from square one of, okay, here's data.
314
00:15:48,418 --> 00:15:51,028
How do I actually do something with it?
315
00:15:51,028 --> 00:15:52,538
How do I make sense of this?
316
00:15:52,868 --> 00:15:57,028
So yes, there are still some
classes that are more lecture-based.
317
00:15:57,178 --> 00:16:02,138
But the vast majority of them, and I think
the bulk of where we get into the, the
318
00:16:02,138 --> 00:16:07,438
nitty-gritty of it is really you're given
data, or you have to go find this data
319
00:16:07,438 --> 00:16:10,998
and figure it out on yourself depending
on which class it is, and you have to
320
00:16:10,998 --> 00:16:13,058
go through step by step of doing this.
321
00:16:13,548 --> 00:16:17,248
One of our weeks, I will say, we call
it the Winslow week in our academy-
322
00:16:17,268 --> 00:16:20,628
… because it is, of course, myself and
my husband who teach the entire week.
323
00:16:21,118 --> 00:16:26,028
So for the Winslow week in this class
or in this week that you have all of
324
00:16:26,028 --> 00:16:31,848
us and you don't get away from us,
you have to start by getting, you
325
00:16:31,848 --> 00:16:35,368
learn what it is to create a bulletin
what's pertinent about a bulletin.
326
00:16:35,718 --> 00:16:39,348
You learn, what makes a good bulletin,
how do you present it, all of this stuff.
327
00:16:39,608 --> 00:16:45,298
We get into the data itself for
how do you forecast- going forward.
328
00:16:45,578 --> 00:16:49,668
If you happen to have a series,
how do you do that statistically?
329
00:16:49,678 --> 00:16:53,078
How do you look at where it's
going to happen again and when
330
00:16:53,078 --> 00:16:54,328
it's going to happen again?
331
00:16:54,768 --> 00:16:55,888
I mentioned the where piece.
332
00:16:55,888 --> 00:16:56,988
You learn how to map.
333
00:16:57,038 --> 00:16:59,728
And very basic, here's what a map takes.
334
00:16:59,728 --> 00:17:03,408
We're of course not trying to come
in here and teach anybody, ArcPro and
335
00:17:03,408 --> 00:17:07,548
Esri products because that is I think
months long in itself and not just
336
00:17:07,578 --> 00:17:11,900
gonna be covered in an hour but then
you also learn how to do association
337
00:17:11,900 --> 00:17:17,080
analysis, how to break down a link
chart or a timeline any of that.
338
00:17:17,080 --> 00:17:21,040
And then we conclude that week with
doing geolocation and cellular phone
339
00:17:21,060 --> 00:17:23,670
analysis, and so what that looks like.
340
00:17:23,940 --> 00:17:27,600
So from that week alone, you're
given data, you're given police
341
00:17:27,600 --> 00:17:31,490
reports FI cards, records,
phone tolls, all of that stuff.
342
00:17:31,920 --> 00:17:36,660
You have to take all of the police
reports, decide for yourself,
343
00:17:36,680 --> 00:17:38,350
okay, where is the series here?
344
00:17:38,360 --> 00:17:42,680
You're tracking a very specific series
that is actually a pretty predominant
345
00:17:42,680 --> 00:17:45,500
one that's occurred in Arizona a
few years back, all adjudicated.
346
00:17:46,080 --> 00:17:51,610
But from that series, you have to look
through every agency's data to decide
347
00:17:51,800 --> 00:17:53,640
which ones are related, which ones aren't.
348
00:17:53,710 --> 00:17:54,990
Why am I including this?
349
00:17:55,020 --> 00:17:56,740
Why am I not including that?
350
00:17:57,010 --> 00:18:00,910
From there, you take that, you get
suspect descriptions, images that
351
00:18:00,910 --> 00:18:04,720
are found, surveillance stills, and
you have to decide how to create
352
00:18:04,720 --> 00:18:06,530
your own bulletin from this series.
353
00:18:06,700 --> 00:18:10,050
Once you create your bulletin, then
part of the bulletin that you're
354
00:18:10,050 --> 00:18:13,720
graded on is can you forecast
what's gonna happen in the future?
355
00:18:14,090 --> 00:18:17,990
Can you forecast where they're going
to hit next, when it's going to happen?
356
00:18:17,990 --> 00:18:20,960
And of course, they look at
different mapping skills.
357
00:18:20,960 --> 00:18:24,660
They l- we look at different forecasting
techniques with the statistics there.
358
00:18:25,090 --> 00:18:29,010
And then from that, once we kinda
do that part, we give you a little
359
00:18:29,010 --> 00:18:31,060
bit more back history of the case.
360
00:18:31,120 --> 00:18:35,290
Okay, here's your suspect, here's their
information, here's kinda people who are
361
00:18:35,290 --> 00:18:37,950
all at play within this particular series.
362
00:18:38,290 --> 00:18:40,560
So then we learn the association.
363
00:18:40,570 --> 00:18:41,950
How are you creating a link chart?
364
00:18:42,220 --> 00:18:43,700
How are you creating a timeline?
365
00:18:44,080 --> 00:18:47,510
Hands-on, getting to work
with it all in it- of itself.
366
00:18:47,800 --> 00:18:51,000
And then again, finally, we end with,
okay, here's our primary suspect's
367
00:18:51,010 --> 00:18:52,830
cell phones, and here's their data.
368
00:18:53,360 --> 00:18:54,470
What do you do with this?
369
00:18:54,680 --> 00:18:55,820
How do you look at it from here?
370
00:18:55,820 --> 00:19:00,190
So really start to finish of more of
a tactical series analysis, it is all
371
00:19:00,190 --> 00:19:04,880
100% hands-on, which I absolutely love,
and that's what a lot of our analysts
372
00:19:04,880 --> 00:19:07,840
come back saying, "Oh, my God, that
was the best week," that they've had,
373
00:19:07,900 --> 00:19:09,180
the Winslow week-
374
00:19:09,440 --> 00:19:10,600
It's the Winslow week
375
00:19:11,460 --> 00:19:11,535
is the best.
376
00:19:11,535 --> 00:19:12,020
It's the Winslow week.
377
00:19:12,060 --> 00:19:14,620
So we have a lot of other
really great trainings.
378
00:19:14,660 --> 00:19:16,640
I've gotta say that 'cause
I'm a little bit biased.
379
00:19:17,050 --> 00:19:18,880
But we have a lot of really
great trainings that we
380
00:19:18,880 --> 00:19:20,500
cover throughout each week.
381
00:19:20,550 --> 00:19:25,380
They get… All of our new students
or our analysts get really thorough
382
00:19:25,410 --> 00:19:29,700
exposure to pretty much any analytical
task that you could think of.
383
00:19:29,700 --> 00:19:33,730
Anything from, looking at different
data sources, different briefing
384
00:19:33,730 --> 00:19:39,058
skills, non-biased policing looking
at w- Counterintelligence awareness
385
00:19:39,078 --> 00:19:43,878
and how to do TVAs or threat
vulnerability assessments, all of that.
386
00:19:43,988 --> 00:19:44,278
Okay.
387
00:19:44,298 --> 00:19:47,678
So it's… that was gonna be my question,
and it's more than just tactical-
388
00:19:47,968 --> 00:19:48,448
Absolutely
389
00:19:48,448 --> 00:19:49,408
analysis then.
390
00:19:49,408 --> 00:19:52,578
It gets into administrative and
maybe some- Yes … problem-solving,
391
00:19:52,618 --> 00:19:55,388
other issues that a department
may be trying to solve.
392
00:19:55,518 --> 00:19:56,198
Absolutely.
393
00:19:56,198 --> 00:19:59,928
And of course, because of the
strategic assessment is more of our,
394
00:20:00,228 --> 00:20:03,398
what we'd consider administrative
analysis, it's looking at long-term
395
00:20:03,398 --> 00:20:08,018
problems w- we like to get them
started with that and then kinda get
396
00:20:08,018 --> 00:20:10,418
them focused in, okay, if you're…
397
00:20:10,448 --> 00:20:13,288
And as an analyst, if you're
tasked with something that's more
398
00:20:13,288 --> 00:20:17,748
tactical or something that's more
investigative or intelligence-led,
399
00:20:18,178 --> 00:20:19,288
what does that look like?
400
00:20:19,288 --> 00:20:22,778
So we, our analysts get a thorough
understanding of here's what's done
401
00:20:22,838 --> 00:20:25,378
across the umbrella of analysis.
402
00:20:25,538 --> 00:20:28,348
So then there's the week-long each month.
403
00:20:28,908 --> 00:20:31,748
There's the capstone project
that they pick to help out their
404
00:20:31,768 --> 00:20:37,008
department, and then a, a test at
the end, just like the, the training?
405
00:20:37,298 --> 00:20:37,718
Yep.
406
00:20:37,778 --> 00:20:39,338
There's tests throughout the week.
407
00:20:39,338 --> 00:20:43,548
So each Monday of the, of
their week, they ha- will have
408
00:20:43,548 --> 00:20:45,328
a test over the last month's-
409
00:20:45,668 --> 00:20:45,708
Oh, okay
410
00:20:45,718 --> 00:20:46,518
…
information.
411
00:20:46,648 --> 00:20:49,148
And then there's a couple
other tests throughout.
412
00:20:49,158 --> 00:20:53,248
There's a, a test for Excel, of course,
because I gotta love my Excel testing.
413
00:20:53,648 --> 00:20:57,988
There's more tests for pretty
much just making sure we have a
414
00:20:57,988 --> 00:21:00,308
thorough understanding, and that's
one of the things that I like to
415
00:21:00,308 --> 00:21:04,328
tell the students there is we're
really not trying to trick you.
416
00:21:04,388 --> 00:21:08,318
And, a lot of our tests, they are
open book, open note because at no
417
00:21:08,318 --> 00:21:11,978
point in your career as an analyst
are we gonna say, "Hey, do you
418
00:21:11,978 --> 00:21:15,678
remember how to do a percent change?"
419
00:21:15,678 --> 00:21:18,138
And you have to remember how
to do it without looking it up.
420
00:21:18,608 --> 00:21:19,468
Can't use Google.
421
00:21:19,488 --> 00:21:20,668
Can't use your notes.
422
00:21:20,718 --> 00:21:24,298
You go through training once in your
life, and then, oh, sorry, you just have
423
00:21:24,298 --> 00:21:25,908
to remember things from here on out.
424
00:21:25,918 --> 00:21:26,858
That's not practical.
425
00:21:26,858 --> 00:21:27,848
That's not reality.
426
00:21:28,148 --> 00:21:31,188
So what we explain to all of
the students is, look, use your
427
00:21:31,188 --> 00:21:32,978
resources, whatever they might be.
428
00:21:33,298 --> 00:21:36,328
If you need to take notes
and write things down, great.
429
00:21:36,448 --> 00:21:40,178
Take notes and write things down as
thorough as you need because what it's
430
00:21:40,178 --> 00:21:42,468
testing on is did you comprehend it?
431
00:21:42,478 --> 00:21:43,948
It's not can you remember.
432
00:21:44,168 --> 00:21:47,528
And I think that's the important
little piece there is a lot of people
433
00:21:47,528 --> 00:21:49,138
are like, "Oh my God. So many tests."
434
00:21:49,528 --> 00:21:52,568
But it's really just are you
comprehending what we're teaching?
435
00:21:52,568 --> 00:21:57,978
And that way, that really helps us
understand do we have the right mentors
436
00:21:57,978 --> 00:22:01,778
in place, do we have the right teachers
in place and instructors in place, and
437
00:22:01,788 --> 00:22:03,498
are we teaching the right material?
438
00:22:03,638 --> 00:22:03,868
Yeah.
439
00:22:03,878 --> 00:22:04,358
All right.
440
00:22:04,448 --> 00:22:09,088
Speaking of instructors I guess h-
how many do you have, and what's the
441
00:22:09,088 --> 00:22:10,498
criteria to become an instructor?
442
00:22:11,570 --> 00:22:16,010
Oh, so we have quite a few instructors
who we are lucky enough to use and
443
00:22:16,010 --> 00:22:20,400
abuse for all of their wonderful
skill sets that they have offered.
444
00:22:20,450 --> 00:22:25,680
I don't know off the top of my head how
many we truly have, just because we do
445
00:22:25,680 --> 00:22:27,460
try to have a lot of backups as well.
446
00:22:27,710 --> 00:22:30,990
There's kind of a core group of
instructors who are always gone
447
00:22:31,010 --> 00:22:34,950
to for very specific tasks what
we're asking for, they're there.
448
00:22:34,950 --> 00:22:37,740
But every once in a while we
have to rotate new people in.
449
00:22:37,860 --> 00:22:40,990
As far as the criteria for what
it takes to become an instructor,
450
00:22:40,990 --> 00:22:44,430
one of the things that was first
asked is we wanted everyone's CV.
451
00:22:44,830 --> 00:22:49,430
We wanted to ensure that, they had
the skill set necessary to be brought
452
00:22:49,430 --> 00:22:51,400
in and to teach whatever it was.
453
00:22:51,850 --> 00:22:56,370
We just concluded our fourth academy,
and I will say after the first
454
00:22:56,380 --> 00:22:58,080
couple it was, trial and errors.
455
00:22:58,110 --> 00:23:00,450
Did we have the right
instructor for the right class?
456
00:23:00,470 --> 00:23:01,690
Did we need to change it up?
457
00:23:01,690 --> 00:23:04,330
And of course, we did need
to change some things up.
458
00:23:04,330 --> 00:23:06,900
I think, there's definitely a
learning curve for every time
459
00:23:06,900 --> 00:23:07,970
you're starting something new.
460
00:23:08,160 --> 00:23:13,320
So making sure that we got the right
instructor at play for the right
461
00:23:13,730 --> 00:23:16,990
course that they're teaching was was
definitely one of our challenges,
462
00:23:17,010 --> 00:23:18,070
but I think we've got there.
463
00:23:18,080 --> 00:23:18,730
I think we're good.
464
00:23:18,870 --> 00:23:19,300
Good.
465
00:23:19,430 --> 00:23:22,530
You mentioned you just
completed the fourth academy.
466
00:23:22,700 --> 00:23:27,740
What, what feedback have you gotten from
students that have finished the program?
467
00:23:27,880 --> 00:23:31,720
So first of all, I will say from our
first couple it was a little rough going.
468
00:23:31,730 --> 00:23:36,270
Just I think one of the things I know
we had kinda mentioned earlier is that
469
00:23:36,600 --> 00:23:40,350
a lot of, as we were starting this
out, as we got the buy-in from the
470
00:23:40,350 --> 00:23:45,030
agencies and from upper staff, a lot
of agencies went to their analysts
471
00:23:45,030 --> 00:23:49,690
who were very seasoned analyst and
said, "You have to attend this."
472
00:23:50,060 --> 00:23:54,890
So in Arizona, we have a lot
of analysts who are lifers.
473
00:23:54,950 --> 00:23:57,080
They get into their career,
again, we don't have a whole
474
00:23:57,080 --> 00:23:58,470
lot of turnover in Arizona.
475
00:23:58,470 --> 00:24:01,990
There's very little new that comes in.
476
00:24:02,000 --> 00:24:04,570
There's very little fresh blood
that comes in as analysts.
477
00:24:04,570 --> 00:24:08,800
There's only certain agencies that
even offer entry-level positions.
478
00:24:08,860 --> 00:24:12,290
So a lot of our analysts have
been around for 15, 20 years.
479
00:24:12,360 --> 00:24:17,770
And for those 15, 20 year analyst,
I think, It's always a little
480
00:24:17,770 --> 00:24:19,940
bit of a challenge when you're
told, "Hey, you're gonna go to
481
00:24:19,940 --> 00:24:21,830
this basic level training." Yeah.
482
00:24:21,950 --> 00:24:25,100
I know you've been doing the job
for 20 years, but here's this
483
00:24:25,100 --> 00:24:26,680
basic level training for you.
484
00:24:27,100 --> 00:24:33,330
So I think overcoming the I don't have to
be here, I know better, I know- … more
485
00:24:33,370 --> 00:24:35,910
than this, is always a tough challenge.
486
00:24:36,240 --> 00:24:40,350
But I will say probably one of the
absolute highlights that I received is
487
00:24:40,380 --> 00:24:46,330
I did have an analyst who, she's been
on, oh man, almost 25 years I would say.
488
00:24:46,560 --> 00:24:50,820
And in her… sh- she's getting
ready to retire, and she came to me
489
00:24:50,820 --> 00:24:52,900
after I think the second academy.
490
00:24:52,900 --> 00:24:54,630
She was, I think she was
in the second academy.
491
00:24:55,110 --> 00:24:59,000
And she kinda stopped and she was like,
"I have to tell you, I did not wanna be
492
00:24:59,000 --> 00:25:03,952
here." Had no desire to come in and take
this training because why do I need it?
493
00:25:04,042 --> 00:25:07,462
But she's like, "You… The way
you guys teach and everything
494
00:25:07,462 --> 00:25:10,182
you went over," she's like, "Why
didn't I have this 20 years ago?"
495
00:25:10,322 --> 00:25:10,632
Yeah.
496
00:25:10,702 --> 00:25:14,902
"
Why?" She's like, "I learned so much."
And it's really enlightening and
497
00:25:15,022 --> 00:25:16,692
wonderful as an instructor to hear that.
498
00:25:16,702 --> 00:25:19,932
I think- … , we've had a lot of
seasoned analysts come through, and
499
00:25:19,962 --> 00:25:23,802
even the seasoned analyst, they've all
come away with "Oh, I didn't realize
500
00:25:23,802 --> 00:25:25,052
that," or, "I didn't know that."
501
00:25:25,052 --> 00:25:28,802
So it's been nice to see that at
least they've learned something.
502
00:25:28,812 --> 00:25:30,232
They've taken- … something away.
503
00:25:30,642 --> 00:25:34,902
And I think our overall goal here
with the academy is to ensure that,
504
00:25:34,902 --> 00:25:39,442
again, all of these analysts have
the same level of base training.
505
00:25:39,452 --> 00:25:44,762
So- Yeah … we should all know how to
do, how to create an Excel spreadsheet.
506
00:25:44,772 --> 00:25:48,452
We should all know how
to create a PowerPoint.
507
00:25:48,492 --> 00:25:52,492
We should all know how to do
some basic association analysis.
508
00:25:52,942 --> 00:25:55,932
I, and I think no matter what you're
working with, whatever kind of data you're
509
00:25:55,932 --> 00:26:01,172
working with, those skills are going to
be imperative to a successful career.
510
00:26:01,312 --> 00:26:05,642
So it's nice when you have those people
who are seasoned, who maybe as a 15,
511
00:26:05,642 --> 00:26:10,252
20-year analyst haven't ever used Excel,
and they come away and they're like, "Oh,
512
00:26:10,472 --> 00:26:12,292
this actually saves me a lot of time."
513
00:26:12,942 --> 00:26:14,342
So it's great for that.
514
00:26:14,472 --> 00:26:17,782
But overall, I think we've had some
really great some great feedback,
515
00:26:17,782 --> 00:26:21,572
especially from those new analysts,
those ones who are little babies in
516
00:26:21,572 --> 00:26:23,172
their career and just trying to get out.
517
00:26:23,232 --> 00:26:26,842
I think it's definitely given
them a leg up within their
518
00:26:26,842 --> 00:26:28,602
career as a starting off point.
519
00:26:29,012 --> 00:26:31,912
And from those, I think the
biggest thing that they take
520
00:26:31,912 --> 00:26:33,792
away is our networking piece.
521
00:26:33,822 --> 00:26:38,072
We make sure that every academy you
have the networking pieces built in.
522
00:26:38,422 --> 00:26:42,832
We have our class presidents and our
class secretaries and our class treasurers
523
00:26:42,862 --> 00:26:46,812
that go through and they actually
arrange different events throughout
524
00:26:46,912 --> 00:26:48,802
each week that they're in class.
525
00:26:49,232 --> 00:26:55,162
That way the, the class itself can really
kinda come together and learn and grow
526
00:26:55,272 --> 00:26:57,192
as a whole, which has been very nice.
527
00:26:57,362 --> 00:26:58,542
Very rewarding to see.
528
00:26:58,712 --> 00:26:58,972
Yeah.
529
00:26:59,102 --> 00:27:01,992
You're all going through the trenches
together, and there's- Yes … something
530
00:27:01,992 --> 00:27:05,002
to be said about that type of bond.
531
00:27:05,032 --> 00:27:07,972
And e- even sworn officers,
like, "Oh, I know he, we went
532
00:27:07,982 --> 00:27:09,352
to the academy together." Yep.
533
00:27:09,352 --> 00:27:09,982
Absolutely.
534
00:27:09,992 --> 00:27:14,852
And so you're building this aspect
of networking and - within the first
535
00:27:14,852 --> 00:27:18,672
couple weeks, knowing people throughout
the entire state of Ari- Arizona.
536
00:27:18,702 --> 00:27:18,882
Oh,
537
00:27:18,882 --> 00:27:20,284
sure Which is great
538
00:27:20,404 --> 00:27:20,634
Yeah.
539
00:27:20,774 --> 00:27:25,824
So all and with this last academy,
you, mentioned on the prep call
540
00:27:25,874 --> 00:27:28,304
that you had international analysts.
541
00:27:28,484 --> 00:27:29,444
We did.
542
00:27:29,454 --> 00:27:34,604
We were lucky enough to have three
individuals from Abu Dhabi come over.
543
00:27:34,754 --> 00:27:39,714
These three individuals were hand-selected
by the United Arab Emirates and their
544
00:27:39,714 --> 00:27:45,754
police force out there, and were brought
in to learn what we do as analysts,
545
00:27:45,774 --> 00:27:51,164
as well as kinda help integrate with
what they have going on in Abu Dhabi.
546
00:27:51,484 --> 00:27:53,704
It was a great experience for them.
547
00:27:53,894 --> 00:27:57,744
Of course, it meant we had to alter
our academy structure a little bit.
548
00:27:58,154 --> 00:28:01,864
With our Abu Dhabi students, they
were here for 16 weeks straight.
549
00:28:01,984 --> 00:28:07,474
So instead of that one week for every
six months, we had a very abbreviated
550
00:28:07,524 --> 00:28:13,184
academy, and we had every third two or
three weeks we had another academy class.
551
00:28:13,194 --> 00:28:17,514
So it was a, over 16 weeks is
what we crammed it all into.
552
00:28:17,544 --> 00:28:21,174
But- … they, during their during
their off weeks from the academy,
553
00:28:21,174 --> 00:28:25,364
I will say, they had all sorts
of opportunities through our
554
00:28:25,364 --> 00:28:26,964
state that were offered to them.
555
00:28:26,964 --> 00:28:30,564
So they got to go on all different
ride-alongs, get to go up all
556
00:28:30,564 --> 00:28:32,564
around, tour everywhere in Arizona.
557
00:28:32,564 --> 00:28:35,894
So they spent some time up in Northern
Arizona, spent some time down in
558
00:28:35,894 --> 00:28:37,714
Southern Arizona along the border.
559
00:28:38,064 --> 00:28:40,164
They got to do different K-9 tours.
560
00:28:40,534 --> 00:28:42,704
They got to spend a day
with me in Scottsdale.
561
00:28:42,714 --> 00:28:48,032
They got to do all sorts of co-
experiences with our drones, with Facial
562
00:28:48,032 --> 00:28:53,192
Rec, with all of that fun, all of our
fun tools that we have here, and compare
563
00:28:53,192 --> 00:28:55,202
it to what they have for use back there.
564
00:28:55,202 --> 00:29:00,582
It was a very interesting experience
getting to listen to what policing
565
00:29:00,592 --> 00:29:04,192
means to them and how they operate.
566
00:29:04,202 --> 00:29:09,092
They were, all three of them were
what they consider sworn officers.
567
00:29:09,352 --> 00:29:12,362
But none of them carry guns.
568
00:29:12,472 --> 00:29:16,842
And their police force apparently does
not carry any weapons in Abu Dhabi,
569
00:29:16,852 --> 00:29:18,952
which I thought was very intriguing.
570
00:29:19,382 --> 00:29:22,682
And it was very interesting because a
lot of the times they, we would have a
571
00:29:22,682 --> 00:29:27,242
little culture shock of as we're getting
into for example, validating your data.
572
00:29:27,612 --> 00:29:30,322
Let's look at you're trying
to find a suspect's address.
573
00:29:30,402 --> 00:29:32,042
You go to your DMV.
574
00:29:32,222 --> 00:29:33,082
Is that accurate?
575
00:29:33,352 --> 00:29:37,392
Probably not, and we all understand
that, but you have to verify
576
00:29:37,402 --> 00:29:41,642
through, whatever open source you
might have, Accurate, Clear, TLO,
577
00:29:41,642 --> 00:29:43,002
IDI Corp, whatever that might be.
578
00:29:43,002 --> 00:29:44,222
You're verifying through that.
579
00:29:44,232 --> 00:29:45,562
You verify through PIN.
580
00:29:45,962 --> 00:29:49,782
You verify through unemployment,
whatever other tools you might
581
00:29:49,792 --> 00:29:51,362
have to verify an address.
582
00:29:51,432 --> 00:29:55,072
And as we talk about layering all
of that, they were just baffled
583
00:29:55,102 --> 00:29:58,162
because to them why doesn't your
government have their address?
584
00:29:59,242 --> 00:30:02,032
I… they do, but it's
not updated, and okay.
585
00:30:02,082 --> 00:30:02,102
Yeah.
586
00:30:02,392 --> 00:30:07,672
Then they had to explain from on their
side of it, there is an app that every
587
00:30:07,672 --> 00:30:12,008
citizen has and in this app, that's where
their driver's license goes through.
588
00:30:12,408 --> 00:30:15,328
That's where their paychecks go through.
589
00:30:15,708 --> 00:30:17,788
If you wanna buy a house,
it goes through that.
590
00:30:17,808 --> 00:30:20,128
If you want to have a
car, it goes through that.
591
00:30:20,538 --> 00:30:22,928
And it all interconnects
and talks to each other.
592
00:30:23,168 --> 00:30:27,238
So if you go to move and you buy
a new house that updates your
593
00:30:27,258 --> 00:30:29,658
address everywhere across the board.
594
00:30:29,658 --> 00:30:32,858
So your banks have it, your, the
government has it, the car has it, all,
595
00:30:32,918 --> 00:30:37,898
like, all of these places that you would
have to update it here personally, it's
596
00:30:37,898 --> 00:30:40,408
just one and done- which was intriguing.
597
00:30:40,488 --> 00:30:45,188
And then more than that, that app that
they were telling us about is geotagged,
598
00:30:45,328 --> 00:30:47,428
and they have cameras everywhere.
599
00:30:47,748 --> 00:30:51,748
So if a crime were to happen, you
- open up your cameras, see, okay,
600
00:30:51,748 --> 00:30:53,498
here's where this crime happened.
601
00:30:53,588 --> 00:30:56,798
Let's pull up the geotags to
see who's all in this area,
602
00:30:57,118 --> 00:30:58,718
and okay, there's your suspect.
603
00:30:58,828 --> 00:31:00,978
And now there's no tracking anything down.
604
00:31:00,988 --> 00:31:03,048
There's no, what do I have to find?
605
00:31:03,048 --> 00:31:04,448
Can I even get a good picture?
606
00:31:04,458 --> 00:31:05,738
Can I even get DNA?
607
00:31:05,818 --> 00:31:06,348
Any of that.
608
00:31:06,378 --> 00:31:07,528
It's just done.
609
00:31:07,588 --> 00:31:12,258
It was incredibly fascinating being
able to talk with them and have these
610
00:31:12,258 --> 00:31:15,748
debates and have these discussions
with our Abu Dhabi students.
611
00:31:15,748 --> 00:31:19,868
I think we all of the students, myself
included, benefited tremendously by
612
00:31:19,878 --> 00:31:23,198
being able to see what that looks
like on their side of the world.
613
00:31:23,338 --> 00:31:27,398
And I know even just some of our base
discussions, one of our students in
614
00:31:27,398 --> 00:31:32,658
this last academy class, her strategic
assessment was on school shootings.
615
00:31:33,028 --> 00:31:38,048
Which, unfortunate topic to talk
about, but very real problem in
616
00:31:38,048 --> 00:31:41,008
the United States, and that was
something that they were just baffled
617
00:31:41,008 --> 00:31:43,088
with because why do you have guns?
618
00:31:43,328 --> 00:31:43,718
Like, why?
619
00:31:43,758 --> 00:31:46,824
I just- If you didn't have
guns, it wouldn't be a problem.
620
00:31:46,854 --> 00:31:52,854
And I- it was a fascinating conversation
to really talk about, okay, what, what
621
00:31:52,854 --> 00:31:55,374
does this mean for, for everyone involved?
622
00:31:55,404 --> 00:31:57,674
And even though are there risks?
623
00:31:57,764 --> 00:31:58,294
Sure.
624
00:31:58,334 --> 00:31:59,374
Are there rewards?
625
00:31:59,614 --> 00:32:00,414
Absolutely.
626
00:32:00,574 --> 00:32:02,474
And you kinda have to
factor all of that in.
627
00:32:02,474 --> 00:32:04,484
It was just, it was a
great conversation piece.
628
00:32:04,494 --> 00:32:04,514
Yeah.
629
00:32:04,584 --> 00:32:07,424
So very interesting- Yeah … to
have them here and present.
630
00:32:07,574 --> 00:32:09,107
Yeah, you explained that very well,
'cause I was wondering just as we
631
00:32:09,107 --> 00:32:10,214
talked about in the beginning, you had
to put the training in Arizona-ese.
632
00:32:18,934 --> 00:32:23,834
Th- this training, you would have to o-
obviously accommodate them and do a little
633
00:32:23,834 --> 00:32:28,524
bit of translation as well, but those
are, the, those are really good examples.
634
00:32:28,574 --> 00:32:33,014
And my other reaction is I
can't imagine being gone for
635
00:32:33,014 --> 00:32:35,024
four months for work training.
636
00:32:35,834 --> 00:32:37,024
It's a long time.
637
00:32:37,034 --> 00:32:37,064
Yes.
638
00:32:37,074 --> 00:32:38,594
And they all had families.
639
00:32:38,634 --> 00:32:43,024
They all had… It's, I will say for
part of this program we're in talks
640
00:32:43,024 --> 00:32:47,334
about taking this program to I won't
say where, but, Yeah … somewhere in
641
00:32:47,334 --> 00:32:51,494
another country, and they wanted us to
come out to go present bring the academy.
642
00:32:51,494 --> 00:32:54,024
There's a few select of us who
they were gonna say, "Let's maybe
643
00:32:54,024 --> 00:32:55,704
go over here and do it for them."
644
00:32:55,714 --> 00:33:01,024
But they were asking us to be gone for
six weeks, and I, I have, m- I have a job.
645
00:33:01,434 --> 00:33:01,454
Yeah.
646
00:33:01,594 --> 00:33:02,354
I have a family.
647
00:33:02,354 --> 00:33:02,974
I've got kids.
648
00:33:02,984 --> 00:33:03,004
Yeah.
649
00:33:03,014 --> 00:33:03,984
I've got my husband.
650
00:33:03,984 --> 00:33:07,554
I've got, a dog that I'm like, I
don't- Yeah … that's a long time.
651
00:33:07,614 --> 00:33:07,784
That's a big commitment.
652
00:33:07,794 --> 00:33:10,474
I couldn't imagine- Yeah … 16 weeks.
653
00:33:10,484 --> 00:33:10,504
Yeah.
654
00:33:10,814 --> 00:33:11,084
Yeah.
655
00:33:11,214 --> 00:33:11,704
Yeah.
656
00:33:12,134 --> 00:33:16,824
But you… The, the program is looking to
expand beyond- Yes … Arizona, correct?
657
00:33:17,144 --> 00:33:18,184
Yes, we are.
658
00:33:18,184 --> 00:33:23,994
So much like Florida has the southeastern
portion of the country, Arizona's
659
00:33:24,014 --> 00:33:28,714
program, we are looking to expand for
our western side of the country here.
660
00:33:29,014 --> 00:33:34,704
Namely, we're looking at partnering
with Nevada, Utah, New Mexico, Colorado.
661
00:33:35,004 --> 00:33:39,414
I know there's been some chief talk
around all of this that's they're trying
662
00:33:39,414 --> 00:33:41,934
to get this opportunity here sold.
663
00:33:42,094 --> 00:33:45,724
I didn't mention California because
California has so many other trainings
664
00:33:45,734 --> 00:33:49,334
of their own that I don't think we're
ready- … to bring that quite there yet.
665
00:33:49,354 --> 00:33:52,834
But I know the other surrounding
states in the southwest region
666
00:33:53,174 --> 00:33:54,304
would definitely benefit.
667
00:33:54,304 --> 00:33:57,914
I know, states like Nevada and
New Mexico, for example, they
668
00:33:57,914 --> 00:33:59,824
don't have regional associations.
669
00:34:00,094 --> 00:34:04,494
They're very spread out as far as their
analysts go, so I think this training
670
00:34:04,494 --> 00:34:09,364
specifically for Nevada Las Vegas is only
a four-hour drive from us, so being able
671
00:34:09,364 --> 00:34:11,054
to bring that and partner would be huge.
672
00:34:11,054 --> 00:34:17,054
A lot of our criminals kinda run the
track of LA, Vegas, and Phoenix area, so
673
00:34:17,054 --> 00:34:21,654
being able to at least get some of the
Vegas analysts or everyone else in Nevada
674
00:34:21,674 --> 00:34:23,664
on board would be very helpful for us.
675
00:34:24,194 --> 00:34:27,884
And then we've had some of the,
the students from New Mexico reach
676
00:34:27,884 --> 00:34:30,514
out, or I shouldn't say students,
analysts from New Mexico reach out
677
00:34:30,534 --> 00:34:33,124
to see if they can partner with
us, and then same thing with Utah.
678
00:34:33,954 --> 00:34:34,204
All right.
679
00:34:34,224 --> 00:34:36,264
This is really great, Brittany.
680
00:34:36,264 --> 00:34:37,844
I love the program.
681
00:34:37,844 --> 00:34:41,894
We already went over that the idea of
training -- learning the concepts and
682
00:34:41,894 --> 00:34:47,504
then applying the concepts actually
doing the, the work of what you learned.
683
00:34:47,504 --> 00:34:50,284
I love, love, love the program.
684
00:34:50,814 --> 00:34:53,384
So I know you don't have a website yet.
685
00:34:53,514 --> 00:34:53,704
We
686
00:34:53,704 --> 00:34:54,124
do not.
687
00:34:54,124 --> 00:34:58,914
But if some- someone l-listening, to this
wants to contact you, what's the best way
688
00:34:58,914 --> 00:34:59,714
to contact you if they have questions and-
689
00:34:59,764 --> 00:35:03,044
I would absolutely say shoot
me an email, give me a call.
690
00:35:03,074 --> 00:35:06,824
I know Jason will post my email and
phone number in the podcast notes.
691
00:35:06,824 --> 00:35:09,904
That way you guys can reach
out if you have questions.
692
00:35:09,934 --> 00:35:14,644
I will say that we will
have two additional 40-hour
693
00:35:14,654 --> 00:35:16,414
pre-req classes this year.
694
00:35:16,734 --> 00:35:20,714
The first one is going to be our Elite
number 13, and that will be taking
695
00:35:20,714 --> 00:35:23,534
place October 26th through the 30th.
696
00:35:23,914 --> 00:35:29,804
And then our 14th Elite class is going to
be November 16th through November 20th.
697
00:35:30,194 --> 00:35:34,294
If you have any questions or are
interested in either one of those
698
00:35:34,294 --> 00:35:38,614
classes, by all means, feel free to
shoot me an email, reach out to me.
699
00:35:38,984 --> 00:35:42,384
, I will get you set up with all
of that and provide you any other
700
00:35:42,384 --> 00:35:43,764
information that you might need.
701
00:35:43,944 --> 00:35:44,234
All right.
702
00:35:44,294 --> 00:35:45,024
Very good.
703
00:35:45,024 --> 00:35:47,984
Yeah, we'll put their contact
information in the show notes.
704
00:35:48,024 --> 00:35:52,154
Make sure you check that out and
reach out with questions and comments.
705
00:35:52,224 --> 00:35:55,264
All right, Brittany, hey, it's
great to catch up with you.
706
00:35:55,274 --> 00:35:59,614
For the listeners, I will put the
link to Brittany's first time on the
707
00:35:59,614 --> 00:36:04,894
podcast in the show notes as well,
so you can get her backstory- Perfect
708
00:36:04,894 --> 00:36:07,304
and how she discovered the law
enforcement analysis profession.
709
00:36:07,574 --> 00:36:09,254
But it's great catching up with you.
710
00:36:09,254 --> 00:36:11,394
I'll give you the last
word as we cut out of here.
711
00:36:11,554 --> 00:36:12,404
All right, Jason.
712
00:36:12,404 --> 00:36:14,154
Thank you so much for having me on.
713
00:36:14,154 --> 00:36:15,344
I really appreciate it.
714
00:36:15,674 --> 00:36:18,504
And of course, one of the things
that I am ever so passionate about
715
00:36:18,534 --> 00:36:21,954
as an analyst is ensuring that you're
always out there learning new things.
716
00:36:22,184 --> 00:36:25,634
Doesn't matter how long you've
been doing this job, you
717
00:36:25,644 --> 00:36:26,914
always have something to learn.
718
00:36:26,914 --> 00:36:30,094
So make sure you keep on
getting out there and learning.
719
00:36:30,314 --> 00:36:30,884
Very good.
720
00:36:30,904 --> 00:36:31,174
All right.
721
00:36:31,204 --> 00:36:32,144
You take care and be safe.
722
00:36:32,414 --> 00:36:32,804
Perfect.
723
00:36:32,804 --> 00:36:33,354
Thanks, Jason.
724
00:36:33,354 --> 00:36:33,734
You too.
725
00:36:33,739 --> 00:36:36,079
Thank you for making it to
the end of another episode of
726
00:36:36,079 --> 00:36:37,459
Analyst Talk with Jason Elder.
727
00:36:37,519 --> 00:36:40,969
You can show your support by sharing
this and other episodes found on
728
00:36:40,969 --> 00:36:41,099
our website@www.leapodcasts.com.
729
00:36:45,469 --> 00:36:48,619
If you have a topic you would like
us to cover or have a suggestion
730
00:36:48,619 --> 00:36:51,059
for our next guest, please send us
an email at LEApodcasts@gmail.com
731
00:36:53,334 --> 00:36:55,309
Till next time, analysts, keep talking.