Duration: 30 Minutes
[00:00:05.980]
Hello and welcome to today's
[00:00:08.009]
Gale Analytics webinar. I'm
[00:00:10.079]
Allie Everett, your senior customer success
[00:00:12.310]
manager here at Gale. And if you have
[00:00:14.448]
any questions during today's training,
[00:00:17.030]
feel free to use the Q and A box
[00:00:19.170]
and I will leave a few extra minutes at the
[00:00:21.208]
end of our session today to answer any
[00:00:23.370]
additional questions.
[00:00:26.280]
Our topic for today is utilizing
[00:00:28.629]
the patrons and non patrons map
[00:00:30.638]
within your gale analytics report.
[00:00:33.728]
So hopefully after today's session,
[00:00:35.789]
you'll walk away with some actionable ideas
[00:00:38.399]
on how to use the map in your
[00:00:40.439]
own report.
[00:00:42.228]
Quick tip too. If you haven't run
[00:00:44.289]
a Gale analytics report in a while,
[00:00:46.418]
we recommend creating a new one
[00:00:48.459]
every quarter, that's when experian
[00:00:50.848]
data is updated. So that will
[00:00:52.868]
give you the most current information to
[00:00:54.929]
work with.
[00:01:00.009]
So for our agenda today, we'll start
[00:01:02.109]
with a quick overview of what Gale
[00:01:04.290]
analytics is and what you can do
[00:01:06.480]
with it. Then we'll dive into
[00:01:08.668]
a sample report and we'll walk around the
[00:01:10.730]
various features and functionalities
[00:01:13.000]
available on the patrons and non
[00:01:15.198]
patrons map itself.
[00:01:17.349]
And then finally, I'll show you what support
[00:01:19.388]
resources are available on the Gale
[00:01:21.629]
analytics. Support site and I'll also
[00:01:23.750]
share my contact information
[00:01:26.010]
if you have any questions specific
[00:01:28.459]
to your library. So questions about
[00:01:30.799]
your service area or maybe
[00:01:33.028]
how your report is laid out. Really
[00:01:35.198]
anything at all pertaining to your library
[00:01:37.278]
itself? Always feel free to reach out to
[00:01:39.370]
me. So
[00:01:44.500]
quick overview of what gale
[00:01:46.769]
analytics is as a refresher here.
[00:01:50.739]
G analytics is a
[00:01:52.760]
internal library resource.
[00:01:55.010]
So non uh not patron fing
[00:01:57.528]
but internal that allows you to view
[00:01:59.769]
your community through a whole new lens.
[00:02:02.500]
It combines your patron data from
[00:02:04.760]
your ils with external data
[00:02:06.959]
from Experian, creating a powerful
[00:02:09.819]
robot report with information on
[00:02:12.375]
uh demographics, lifestyle
[00:02:14.574]
insights. And so
[00:02:16.653]
so much more within this report, you'll
[00:02:18.764]
find lots of different charts
[00:02:21.194]
and graphs and really all of the data
[00:02:23.294]
found can help your library with everything
[00:02:25.784]
from strategic planning to
[00:02:27.883]
grant writing. Um to
[00:02:29.933]
so much more
[00:02:31.629]
you have access within your report
[00:02:33.788]
to three different maps and the capabilities
[00:02:36.558]
within each map really encourages
[00:02:38.808]
you to better understand your service area
[00:02:40.919]
from a geographical standpoint.
[00:02:43.460]
Perhaps you would like to grow
[00:02:45.909]
your patron account or you're
[00:02:48.118]
opening a new library branch.
[00:02:50.250]
Um Maybe you'd like to dive deep
[00:02:52.368]
into a certain zip code or a census
[00:02:54.649]
tract. Whatever your specific
[00:02:56.689]
goals are, the data within your report
[00:02:58.929]
specifically in the maps will help support
[00:03:01.149]
your library's goals and initiatives.
[00:03:06.899]
So we're gonna head to Gale analytics
[00:03:09.008]
community insights and this is a report
[00:03:11.360]
um that is used uh
[00:03:13.990]
with some sample data from
[00:03:16.808]
um from just
[00:03:19.020]
some, some sample data that we have, but also
[00:03:21.270]
we are using a fictitious library.
[00:03:23.849]
So the data is real. However, the library
[00:03:26.520]
is um is not a real library.
[00:03:28.610]
It's near, this data is
[00:03:30.639]
in our um headquarters near our headquarters
[00:03:33.110]
in Farmington Hills, Michigan.
[00:03:35.439]
Now, this is Tableau Reader and Tableau
[00:03:37.629]
Reader is the free version of Tableau.
[00:03:39.649]
If you don't have Tableau Reader downloaded
[00:03:42.288]
on your computer, um You'll need
[00:03:44.379]
that in order to run a report and it's just
[00:03:46.520]
a simple free download tableau.com/reader.
[00:03:51.110]
Ok. So this
[00:03:53.139]
is the home page here that you're
[00:03:55.219]
looking at now.
[00:03:57.778]
And if I go to the patrons
[00:04:00.069]
and non patrons map, that's one of
[00:04:02.088]
the tabs along the bottom here. This is
[00:04:04.229]
the purple tab. So now I'm in the patrons
[00:04:06.569]
and non patrons map,
[00:04:08.080]
like I mentioned, you have access
[00:04:10.449]
to three maps. Um
[00:04:12.490]
And all of these are available on different
[00:04:14.588]
tabs. So we have the patrons and non patrons
[00:04:16.750]
map, which we'll go into in just a moment.
[00:04:19.199]
You also have access to
[00:04:21.358]
this heat map here. So this
[00:04:23.428]
is especially useful for larger
[00:04:25.920]
urban areas where you might find
[00:04:28.019]
lots of apartments, condos
[00:04:30.540]
and high density areas. So
[00:04:32.738]
high density areas will um
[00:04:34.959]
have this yellow color, low density
[00:04:37.259]
are going to be this dark blue color
[00:04:39.528]
here. And then you also have access
[00:04:41.600]
to the demographic reach map as well.
[00:04:44.449]
So this looks just like the patrons and non
[00:04:46.548]
patrons map. Although now it
[00:04:48.639]
has a colorful overlay.
[00:04:51.000]
Um and this includes race and ethnicity
[00:04:53.678]
data here.
[00:04:55.358]
So I can look at the legend at the top
[00:04:58.069]
high density is gonna be in
[00:05:00.119]
this red color. Lower density
[00:05:02.209]
is all the way in this blue color and you can
[00:05:04.230]
change the race and ethnicity up
[00:05:06.509]
here in the top left hand corner.
[00:05:09.040]
OK.
[00:05:10.399]
So I encourage you to play around
[00:05:12.528]
with these two maps um on your own
[00:05:14.759]
time. But today we're really gonna focus our
[00:05:16.778]
time and attention in this patrons and non
[00:05:18.819]
patrons map which is on this tab
[00:05:21.040]
at the bottom. So if you are following along,
[00:05:23.149]
um please make your way to the patrons and
[00:05:25.178]
non patrons map.
[00:05:27.389]
First. We're gonna take um a look
[00:05:29.410]
at some of the capabilities
[00:05:31.500]
we have on this tab. Ok.
[00:05:33.819]
So you can of course click
[00:05:36.428]
and drag and pan
[00:05:38.980]
the map all around.
[00:05:41.750]
Um You can zoom in and out so
[00:05:44.178]
you can click the plus arrow
[00:05:46.269]
and the minus arrow to zoom in and out. Now, if
[00:05:48.449]
I zoom in,
[00:05:50.108]
I can actually zoom in pretty far.
[00:05:52.629]
Um So I can get a good look
[00:05:54.730]
at um different neighborhoods,
[00:05:57.119]
businesses, obviously,
[00:05:59.199]
highways and then of course,
[00:06:01.259]
um it's nice as well to see all
[00:06:03.480]
of the various uh you know, organizations,
[00:06:06.129]
churches, parks, shopping
[00:06:08.298]
centers, movie theaters, schools.
[00:06:10.819]
Um And if I hover over each one
[00:06:13.040]
of these uh dots here, this is showing
[00:06:15.230]
me a different household. So if I hover
[00:06:17.238]
over each household, it's gonna automatically
[00:06:19.600]
give me a pop up with some information,
[00:06:22.069]
estimated household income. How long
[00:06:24.250]
they've lived there? Do they have Children?
[00:06:26.709]
Are they a patron, a non patron
[00:06:28.738]
and so on and so forth?
[00:06:31.019]
So I'm gonna go ahead and just zoom back
[00:06:33.220]
out so we can see the full service
[00:06:35.350]
area.
[00:06:38.639]
Um The legend in the top right hand
[00:06:40.689]
corner will indicate what each color
[00:06:43.009]
on the map means. So my branch
[00:06:45.389]
boundaries um are in this light
[00:06:47.738]
blue color and you can see that my service
[00:06:50.069]
area here is a square shape
[00:06:52.750]
and then I have uh one
[00:06:54.850]
dividing line that goes straight down the middle
[00:06:57.000]
and that divides my north branch
[00:06:59.079]
from my south branch.
[00:07:01.028]
So that's what that light blue means.
[00:07:03.809]
Then I also have all of my
[00:07:05.879]
non patron households in
[00:07:07.869]
this gray color and my patron
[00:07:10.040]
households in this blue color here.
[00:07:12.699]
So right off the bat before even
[00:07:14.959]
really diving in, I can already tell that
[00:07:17.088]
most of my patrons live
[00:07:19.149]
kind of in this uh area right
[00:07:21.298]
around here in my north branch
[00:07:23.329]
service area.
[00:07:25.829]
So that's your le uh your legend at the
[00:07:27.920]
top right hand corner,
[00:07:29.939]
you can also change your map measure. So
[00:07:32.100]
it automatically defaults to patrons
[00:07:34.678]
and non patrons.
[00:07:36.379]
But uh I can really change that
[00:07:38.500]
to whatever I'd like from this drop down
[00:07:40.670]
in the top left hand corner So if
[00:07:42.678]
I wanna, let's say, take a look at presence
[00:07:45.059]
of Children,
[00:07:46.439]
I can go ahead and click on that measure
[00:07:49.480]
and it changes the colors.
[00:07:52.019]
And now I can kind of get an idea of
[00:07:54.269]
where I might have, you know, a higher
[00:07:56.540]
density of families.
[00:07:58.670]
Um So the legend will change families
[00:08:01.170]
that yes, do have Children or likely
[00:08:03.829]
do have Children are gonna be these
[00:08:06.149]
um these red and, and orange
[00:08:08.410]
colors on the map. So I can automatically
[00:08:10.588]
kind of see where those pockets
[00:08:12.619]
might be.
[00:08:15.439]
Go ahead and change it back to patrons
[00:08:17.759]
and non patrons.
[00:08:20.949]
I have lots of filtering capabilities
[00:08:23.259]
and all of these filters are over here on
[00:08:25.379]
the right hand side. Now, these
[00:08:27.449]
filters, there's no limit to
[00:08:29.480]
the number of filters that you can place
[00:08:31.619]
on your map. Um And these filters
[00:08:34.019]
are the same as the filters
[00:08:36.129]
that are on this tab here.
[00:08:38.219]
So you actually have a designated tab
[00:08:40.700]
for your filters. They're a little easier
[00:08:42.940]
to read on the filters tab, but you can
[00:08:45.099]
also um apply them on
[00:08:47.379]
the patrons and non patrons map itself.
[00:08:50.129]
One thing that's important to note about
[00:08:52.519]
Tableau is that any time you place
[00:08:54.570]
a filter on any tab
[00:08:56.759]
and you pan to another tab that
[00:08:58.820]
filter persists from tab to tab
[00:09:00.859]
to tab.
[00:09:01.918]
So if I place the filter here and then I go
[00:09:04.019]
to my map, I will then see that filter
[00:09:06.340]
on my map. So no need to reset your
[00:09:08.379]
filter when you travel from tab
[00:09:10.399]
to tab. Last
[00:09:13.330]
thing I want to point out here is
[00:09:15.408]
the numbers that you're seeing in the
[00:09:17.509]
bottom left hand corner of the screen
[00:09:19.649]
underneath the map.
[00:09:21.408]
So these metrics um will change
[00:09:23.808]
depending on what filters and parameters
[00:09:26.229]
you place on the map. So those are
[00:09:28.269]
gonna update automatically and
[00:09:30.440]
it's nice because it gives you a penetration
[00:09:33.000]
percentage to reference to.
[00:09:37.830]
So I wanna share um a couple of scenarios
[00:09:40.759]
in which libraries have used
[00:09:42.859]
their specific map data to help
[00:09:45.019]
assist with some of their goals.
[00:09:47.210]
Ok. So the first is
[00:09:49.320]
a library who set up book
[00:09:51.719]
vending machines at a few places around
[00:09:54.070]
town. I believe it was the fire station
[00:09:56.820]
grocery store and a fitness center.
[00:09:59.399]
And in order to find where to place
[00:10:01.668]
these vending machines, they used a few
[00:10:04.029]
filters to look for areas of opportunity.
[00:10:07.340]
They wanted to specifically target low
[00:10:09.960]
income households who did not have
[00:10:12.168]
a library card.
[00:10:13.960]
So those two filters um are
[00:10:16.239]
gonna be estimated household income by
[00:10:18.408]
using a low income filter and then
[00:10:21.099]
the source filter down here which
[00:10:23.440]
um filters out either your patrons
[00:10:25.719]
or your non patrons.
[00:10:27.450]
So I'm gonna go ahead and go in
[00:10:30.259]
and show you how they did this. So if we
[00:10:32.340]
go to estimated household income,
[00:10:34.750]
now, of course, low income is gonna vary
[00:10:37.058]
depending on where you're located in the country.
[00:10:39.859]
Um But for the purpose of today's training
[00:10:42.359]
we'll go ahead and say, uh $50,000
[00:10:45.529]
or less. And that's an annual
[00:10:48.418]
estimated household income, so not
[00:10:50.639]
individual but total household.
[00:10:52.899]
So I would deselect all
[00:10:55.308]
and then I would reselect you always
[00:10:57.440]
wanna reselect, show library and service
[00:10:59.460]
area. So you can see your service area
[00:11:02.250]
and then reselect the income
[00:11:04.379]
ranges that you're hoping to take a look
[00:11:06.408]
at. So I'm gonna go all the way up to 50,000
[00:11:09.158]
here. As you can see,
[00:11:11.320]
a lot of the households disappeared from my map.
[00:11:14.070]
And now I'm only looking at households
[00:11:16.320]
that fall into that low income
[00:11:18.840]
category.
[00:11:20.558]
Now, this library also wanted
[00:11:22.710]
to focus on areas with non patrons.
[00:11:25.320]
So we're gonna go to source
[00:11:27.750]
and then we're gonna go ahead and just
[00:11:29.869]
leave the non patrons option selected
[00:11:32.808]
and
[00:11:33.619]
deselect patrons and patrons
[00:11:36.158]
non exp which means non
[00:11:38.340]
experian.
[00:11:39.739]
This is an interesting one. It basically
[00:11:41.788]
means that your patrons are included
[00:11:44.009]
within your file. We're counting them as patrons.
[00:11:46.788]
However, for what some reason they weren't
[00:11:49.029]
able to be matched to experian data, they still
[00:11:51.168]
count as patrons. But we're gonna go ahead and deselect
[00:11:53.668]
for now since we're only looking at non patrons.
[00:11:56.960]
Ok.
[00:11:57.899]
So with those two filters, now
[00:12:00.349]
I'm looking at my service area with
[00:12:02.989]
the filters, non patrons and
[00:12:05.109]
estimated household income of less than 50,000.
[00:12:09.279]
So right off the bat, I can see
[00:12:11.509]
that there is, you know, quite
[00:12:13.700]
a uh dense cluster
[00:12:16.099]
over here in kind of my bottom
[00:12:18.109]
right hand corner of my map,
[00:12:20.558]
I can target that area as an area
[00:12:22.739]
of opportunity.
[00:12:24.200]
Um So I'm gonna go ahead and
[00:12:26.308]
zoom in
[00:12:31.149]
and of course, when you're thinking about,
[00:12:33.479]
um you know, placing book
[00:12:35.668]
vending machines around this area
[00:12:37.989]
you would want to look for. Uh
[00:12:40.298]
here's a shopping center, a
[00:12:42.340]
movie theater, a couple of schools,
[00:12:44.529]
a dog park,
[00:12:46.090]
um hospital, a market
[00:12:48.849]
I think I saw, yeah, a couple of churches
[00:12:51.210]
in here. So this is the area
[00:12:53.580]
within my my service area, this
[00:12:55.719]
sample service area um that
[00:12:57.779]
has the highest number of
[00:13:00.239]
households that fall into those two categories,
[00:13:02.859]
low income and non patron households.
[00:13:05.960]
I could also um include
[00:13:08.320]
a lot of these stops as a part
[00:13:10.538]
of our uh mobile services route,
[00:13:12.710]
um a bike route, something like that.
[00:13:15.369]
Um set up lockers, of
[00:13:17.428]
course, anything to really
[00:13:19.629]
um you know, get them to sign up for
[00:13:21.729]
with the library card, obviously
[00:13:24.119]
have them utilize um everything
[00:13:26.489]
that the library is offering. So this looks like
[00:13:28.619]
a really good area for reaching out to
[00:13:31.178]
um in terms of library outreach,
[00:13:37.129]
knowing that this area has a dense population
[00:13:39.750]
of non patrons and low income households
[00:13:41.940]
is useful for me. Um
[00:13:43.979]
as I target this area,
[00:13:45.950]
so that's how the library determined
[00:13:47.979]
really where to place their new um
[00:13:50.219]
book vending machines. And of course, there's other
[00:13:52.340]
areas within this specific
[00:13:54.639]
service area as well. Um But that's
[00:13:56.940]
kind of the one that jumped out to me uh
[00:13:59.029]
first.
[00:14:00.750]
So if I wanna reset my filters, I can
[00:14:02.979]
go to the filters tab and then go ahead
[00:14:05.219]
and click the back arrow
[00:14:07.070]
that's gonna click
[00:14:08.989]
all of my filters back to what they
[00:14:11.099]
were. So now my map should look like how
[00:14:13.259]
it was when we started out.
[00:14:16.000]
So the second scenario here,
[00:14:19.000]
this library was applying for
[00:14:21.139]
a grant and wanted to find specific
[00:14:23.759]
metrics that would support a grant application
[00:14:26.859]
um or perhaps support their strategic
[00:14:29.109]
plan and overall initiatives.
[00:14:31.649]
So like I mentioned, the metrics
[00:14:33.849]
in the bottom left hand corner will
[00:14:36.259]
automatically change
[00:14:38.320]
um depending on the filters that you place on
[00:14:40.340]
the map.
[00:14:41.639]
And then from these numbers, you can form a percentage
[00:14:44.979]
to include in uh end
[00:14:47.330]
of year reporting, stakeholder reporting grant
[00:14:49.548]
application really whatever you are using
[00:14:51.869]
these numbers for.
[00:14:53.570]
So even just from the numbers right
[00:14:55.599]
here that you can see without any filters
[00:14:57.928]
on my map,
[00:14:59.200]
I can see that um
[00:15:01.288]
I have a total number of
[00:15:03.320]
about 30,000 households
[00:15:05.840]
to be exact 30,436
[00:15:08.340]
total households in my service area.
[00:15:11.019]
And then I also get a patron and non patron
[00:15:13.229]
breakdown as well. So of those
[00:15:15.239]
households, 2200
[00:15:17.340]
and 30 are patron households and the
[00:15:19.359]
rest are non patron households.
[00:15:22.379]
That gives me a percentage right there.
[00:15:24.399]
If I do the math, then I
[00:15:26.580]
know that about 7% of
[00:15:28.779]
the service area are members of the library
[00:15:31.019]
and 93% are not members
[00:15:33.139]
of the library. So this library has
[00:15:35.469]
a big opportunity to grow their patron
[00:15:37.548]
count since they have um quite a high
[00:15:39.739]
number of non patron households.
[00:15:42.969]
For grant applications. Specifically,
[00:15:45.200]
you could utilize the estimated household
[00:15:47.668]
income filter.
[00:15:49.210]
You could utilize the census track
[00:15:51.489]
filter. If you're looking at census tracks,
[00:15:53.649]
those will automatically populate depending
[00:15:55.820]
on your um geographic location
[00:15:58.599]
and education level attained as well.
[00:16:00.908]
So that's another filter over here that could
[00:16:03.009]
be useful.
[00:16:04.469]
So let's go ahead and place a couple
[00:16:06.729]
of education level filters
[00:16:08.899]
on the map and then look at the
[00:16:10.940]
um metrics in the bottom left hand corner.
[00:16:14.580]
So if I wanted to figure
[00:16:16.649]
out um how many households
[00:16:19.340]
in my service area
[00:16:21.109]
uh maybe had less than a high school
[00:16:23.239]
diploma or maybe had a high school diploma,
[00:16:25.599]
but no college degree
[00:16:27.519]
I could come in here and deselect
[00:16:29.649]
the all
[00:16:30.769]
and reselect show library
[00:16:32.830]
and service area.
[00:16:34.489]
I'm gonna do less than a high school diploma
[00:16:36.769]
likely and less than high school
[00:16:38.840]
diploma. Extremely likely.
[00:16:41.558]
I'm also gonna click high school diploma,
[00:16:43.629]
likely high school diploma, extremely likely.
[00:16:45.879]
So these are households within my service
[00:16:48.070]
area, both patron and non patron
[00:16:50.570]
that currently um do
[00:16:52.779]
not have a college degree.
[00:16:56.058]
Now, once I place those filters, of course,
[00:16:58.190]
my map will change, but these numbers
[00:17:00.340]
at the bottom left hand corner will change as Well,
[00:17:02.570]
so I can see that there's
[00:17:04.430]
8846
[00:17:06.509]
households that fall into these
[00:17:08.949]
categories here. So if I do the math
[00:17:11.449]
out of the total number of households
[00:17:13.938]
that lets me know that about
[00:17:15.979]
28% of
[00:17:18.178]
my service area has
[00:17:20.577]
either less than a high school diploma
[00:17:22.698]
or has a high school diploma, but
[00:17:24.888]
no college degree.
[00:17:27.229]
So that's an example of how you can use those
[00:17:29.509]
numbers really quickly and easily.
[00:17:32.108]
Um, to figure a percentage there,
[00:17:34.628]
I could of course change things up,
[00:17:36.798]
play around with the data a little bit. I
[00:17:38.888]
can deselect um, high school
[00:17:40.938]
diploma
[00:17:43.209]
likely and extremely likely. And now
[00:17:45.239]
I'm looking at households that have
[00:17:47.588]
less than a high school diploma, either
[00:17:49.858]
likely or extremely likely.
[00:17:51.789]
So now I have even fewer households,
[00:17:54.239]
of course. Um The map changes
[00:17:56.750]
a bit and then this number changes
[00:17:58.900]
as well. So 3825
[00:18:02.449]
total filtered households out
[00:18:04.598]
of my roughly 30,000 households
[00:18:06.779]
gives me 13%. About
[00:18:09.729]
so 13% have less than
[00:18:11.838]
a high school diploma. So this is great information
[00:18:14.479]
to include
[00:18:15.618]
in an education grant. Um I could
[00:18:17.640]
certainly include all of these figures.
[00:18:19.900]
Um I could also create, uh really
[00:18:22.459]
quickly create a mailing list for these households
[00:18:25.000]
to promote um, if you have a high school
[00:18:27.059]
completion program or a GED program,
[00:18:29.750]
um, you could just simply head right over to the
[00:18:31.779]
mailing list tab. It's as easy as clicking
[00:18:34.689]
mailing list. And then we have all
[00:18:36.880]
of these addresses. Um, right
[00:18:38.910]
there for direct mail and outreach.
[00:18:42.229]
Uh You wanna make sure the number matches which
[00:18:44.430]
it does.
[00:18:45.449]
Um But that's, it's as simple as that
[00:18:47.539]
to create a mailing list. So
[00:18:49.880]
when thinking about educational attainment,
[00:18:52.118]
it's handy to have those numbers readily
[00:18:54.219]
available for a grant application
[00:18:56.789]
and reporting. There's really no limit to
[00:18:58.858]
the number of filters you can place on your map.
[00:19:01.259]
So I could even go in and combine
[00:19:03.338]
estimated household income education.
[00:19:06.229]
Uh really any of these filters over here.
[00:19:09.750]
OK. I'm gonna
[00:19:11.799]
go ahead and go to the filters tab reset
[00:19:14.259]
my filters once more,
[00:19:17.009]
come back to my patrons and not non
[00:19:19.318]
patrons map. OK?
[00:19:21.400]
So in this last example, um
[00:19:23.630]
the library was planning a walk
[00:19:25.709]
to the library day for Earth Day.
[00:19:27.799]
So they wanted to create a custom mailing
[00:19:30.078]
list for households, both
[00:19:32.348]
patron and non patron households
[00:19:34.709]
who lived within about
[00:19:36.848]
a one mile radius of their
[00:19:38.939]
main library branch location.
[00:19:41.430]
So
[00:19:42.439]
in order to do this, I would use
[00:19:44.729]
um a tool up here in the top
[00:19:47.088]
left hand corner. And this tool
[00:19:49.618]
creates a custom sub collection
[00:19:52.489]
of households within your community.
[00:19:54.989]
It kind of looks like a play button, little
[00:19:57.009]
triangle. So if you hover over
[00:19:59.239]
this uh button in the top left hand
[00:20:01.259]
corner, you can either click the square
[00:20:04.009]
selection, rectangular selection,
[00:20:06.568]
radial selection or lasso selection
[00:20:08.959]
and Lasso just means like a custom
[00:20:11.380]
shape. Um So you can choose
[00:20:13.420]
whichever you'd like. Now, since this library
[00:20:15.759]
wants a one mile radius
[00:20:18.039]
from their library branch location, I'm
[00:20:20.219]
gonna go ahead and select the radial selection.
[00:20:23.719]
Once I click on that
[00:20:26.019]
I can click and drag anywhere
[00:20:28.289]
within my service area and it's
[00:20:30.430]
gonna focus on just those households.
[00:20:33.390]
So my main library location,
[00:20:35.828]
if I hover over it, it's telling me right now again,
[00:20:38.309]
this isn't a real library, but we've plotted
[00:20:40.689]
it right here gale public library and
[00:20:42.729]
it's gonna be there in red.
[00:20:44.769]
So I'm gonna go ahead and
[00:20:47.489]
click and drag.
[00:20:50.299]
Oops, I'm gonna try that one more time sometimes if
[00:20:52.459]
you land right on the dot
[00:20:54.588]
It won't do it. We'll just do
[00:20:56.519]
here.
[00:20:57.719]
Oh, ok.
[00:21:01.439]
And you'll discover too. The map is very,
[00:21:04.150]
um, sensitive. So sometimes you have to get
[00:21:06.229]
it just right.
[00:21:08.150]
But I'm gonna go ahead and click on radio
[00:21:10.199]
again.
[00:21:11.348]
Ok. We'll do here.
[00:21:13.828]
There we go. All right. So once I click
[00:21:16.338]
and I drag,
[00:21:18.140]
it's gonna give me a distance. So
[00:21:20.328]
right now, um, I'm at about
[00:21:23.199]
there we go a mile. So hopefully you can
[00:21:25.250]
see it. It's a little tricky to see. Um,
[00:21:27.479]
but you can go all the way out, you know, two
[00:21:29.559]
miles, three miles. Um,
[00:21:32.160]
we're gonna stick around the one mile mark
[00:21:34.299]
right here.
[00:21:36.410]
Ok. And now once I get to one mile,
[00:21:38.640]
I'm gonna go ahead and let go
[00:21:42.289]
once I release the mouse,
[00:21:44.588]
everything else disappears and I
[00:21:46.650]
only have those households now.
[00:21:49.209]
Ok. So all of these numbers at the bottom
[00:21:51.269]
have changed. I can see that there's
[00:21:53.568]
1884
[00:21:56.049]
households, there's the patron
[00:21:58.299]
and not patron breakdown too. So I can
[00:22:00.483]
see how many of them are patron households, how many
[00:22:02.644]
of them are non patron households? But
[00:22:04.904]
now I know where those households
[00:22:07.295]
are, who they are. Um
[00:22:09.515]
so that I can reach out to them and
[00:22:11.743]
let them know about our walk to the library
[00:22:13.894]
day for Earth Day.
[00:22:15.959]
Easy to create a mailing list
[00:22:17.969]
as well because all you have to do is
[00:22:20.039]
go right over to the mailing list. Tab.
[00:22:22.439]
Click that
[00:22:24.299]
and now I have um all of
[00:22:26.410]
these addresses for targeted outreach
[00:22:30.140]
in order to um export
[00:22:32.209]
this mailing list for your marketing team.
[00:22:34.689]
You would just simply go to worksheet
[00:22:37.108]
at the top export
[00:22:39.939]
cross tab to Excel that
[00:22:42.348]
will generate an Excel spreadsheet.
[00:22:44.469]
Um Then you can use it for targeted
[00:22:46.549]
outreach.
[00:22:48.739]
If you have um email addresses
[00:22:51.368]
included in your original file for
[00:22:53.449]
your patrons,
[00:22:54.769]
I do not, which is why they're not appearing
[00:22:56.828]
here, but all of your email addresses
[00:22:59.059]
for your patrons will appear here as well.
[00:23:01.348]
So this can act as a direct mail
[00:23:03.410]
list and also an email list
[00:23:05.618]
if you're doing newsletters and e blasts
[00:23:07.809]
and things like that. So mailing
[00:23:09.930]
list is great for creating
[00:23:12.219]
any type of um, custom
[00:23:15.009]
outreach list for your patrons
[00:23:17.088]
and your non patrons.
[00:23:21.449]
So I'm gonna go back to my map
[00:23:24.920]
and then in order to, um,
[00:23:27.269]
like I said, in order to reset
[00:23:29.848]
all of your filters, you click this arrow. However,
[00:23:32.420]
the one thing it doesn't reset is the map.
[00:23:34.989]
So you'll just want to, um, go
[00:23:37.189]
ahead and click anywhere on your map
[00:23:39.598]
once and it should reset.
[00:23:41.640]
So there's my map again without any features
[00:23:44.309]
or filters on it.
[00:23:48.489]
OK? So the possibilities
[00:23:50.630]
really are endless and I encourage
[00:23:53.078]
you to further explore the maps
[00:23:55.358]
available to you, get in there
[00:23:57.420]
and play around with the filters, play
[00:23:59.479]
around with those custom selections.
[00:24:01.920]
Um It's a great way to view
[00:24:04.000]
your community with fresh eyes.
[00:24:06.279]
Um And all of the customizations and filters
[00:24:08.578]
are really pretty easy to use.
[00:24:12.848]
OK?
[00:24:17.588]
Please know that we are here
[00:24:20.059]
to help make the most out of scale
[00:24:22.279]
analytics at your library.
[00:24:25.630]
We have a support site and if you haven't visited
[00:24:28.068]
it, I highly encourage you to
[00:24:30.630]
um take a look at it and bookmark if you'd like
[00:24:32.809]
to. It's support.gale.com/products/aod
[00:24:37.848]
standing for um analytics
[00:24:40.130]
on demand.
[00:24:41.078]
This is where you'll find an assortment of
[00:24:43.219]
training resources from printable
[00:24:45.509]
tip sheets to pre-recorded
[00:24:47.868]
webinars and tutorials on
[00:24:50.170]
many different topics related to Gale analytics.
[00:24:52.949]
Um So once this webinar is available,
[00:24:55.150]
it'll also be up on that support
[00:24:57.348]
site as well. And in addition to any future
[00:24:59.670]
Gale analytics, webinars we have.
[00:25:05.289]
So here's my contact information as well
[00:25:07.348]
as my calendar link if you have any questions,
[00:25:09.799]
like I said, specific to your library,
[00:25:12.578]
um Please don't hesitate to
[00:25:14.680]
schedule a one on one meeting with me.
[00:25:21.269]
Ok. And so I'll check the Q and A box,
[00:25:24.509]
see if we have any questions so far.
[00:25:28.439]
All right. And it looks like we don't have any questions
[00:25:30.509]
in the chat at the moment. Um
[00:25:32.529]
But hopefully today, you're walking away with
[00:25:34.660]
a few new ideas on how to utilize
[00:25:37.400]
your patrons and non patrons map.
[00:25:39.509]
And like I said, the possibilities really
[00:25:41.578]
are endless. Um I'll stay
[00:25:43.608]
on for a few minutes for any remaining questions.
[00:25:45.828]
Otherwise, thank you for being here today
[00:25:48.239]
and I look forward to seeing you at
[00:25:50.299]
a future Gale Analytics webinar.
Hello and welcome to today's
[00:00:08.009]
Gale Analytics webinar. I'm
[00:00:10.079]
Allie Everett, your senior customer success
[00:00:12.310]
manager here at Gale. And if you have
[00:00:14.448]
any questions during today's training,
[00:00:17.030]
feel free to use the Q and A box
[00:00:19.170]
and I will leave a few extra minutes at the
[00:00:21.208]
end of our session today to answer any
[00:00:23.370]
additional questions.
[00:00:26.280]
Our topic for today is utilizing
[00:00:28.629]
the patrons and non patrons map
[00:00:30.638]
within your gale analytics report.
[00:00:33.728]
So hopefully after today's session,
[00:00:35.789]
you'll walk away with some actionable ideas
[00:00:38.399]
on how to use the map in your
[00:00:40.439]
own report.
[00:00:42.228]
Quick tip too. If you haven't run
[00:00:44.289]
a Gale analytics report in a while,
[00:00:46.418]
we recommend creating a new one
[00:00:48.459]
every quarter, that's when experian
[00:00:50.848]
data is updated. So that will
[00:00:52.868]
give you the most current information to
[00:00:54.929]
work with.
[00:01:00.009]
So for our agenda today, we'll start
[00:01:02.109]
with a quick overview of what Gale
[00:01:04.290]
analytics is and what you can do
[00:01:06.480]
with it. Then we'll dive into
[00:01:08.668]
a sample report and we'll walk around the
[00:01:10.730]
various features and functionalities
[00:01:13.000]
available on the patrons and non
[00:01:15.198]
patrons map itself.
[00:01:17.349]
And then finally, I'll show you what support
[00:01:19.388]
resources are available on the Gale
[00:01:21.629]
analytics. Support site and I'll also
[00:01:23.750]
share my contact information
[00:01:26.010]
if you have any questions specific
[00:01:28.459]
to your library. So questions about
[00:01:30.799]
your service area or maybe
[00:01:33.028]
how your report is laid out. Really
[00:01:35.198]
anything at all pertaining to your library
[00:01:37.278]
itself? Always feel free to reach out to
[00:01:39.370]
me. So
[00:01:44.500]
quick overview of what gale
[00:01:46.769]
analytics is as a refresher here.
[00:01:50.739]
G analytics is a
[00:01:52.760]
internal library resource.
[00:01:55.010]
So non uh not patron fing
[00:01:57.528]
but internal that allows you to view
[00:01:59.769]
your community through a whole new lens.
[00:02:02.500]
It combines your patron data from
[00:02:04.760]
your ils with external data
[00:02:06.959]
from Experian, creating a powerful
[00:02:09.819]
robot report with information on
[00:02:12.375]
uh demographics, lifestyle
[00:02:14.574]
insights. And so
[00:02:16.653]
so much more within this report, you'll
[00:02:18.764]
find lots of different charts
[00:02:21.194]
and graphs and really all of the data
[00:02:23.294]
found can help your library with everything
[00:02:25.784]
from strategic planning to
[00:02:27.883]
grant writing. Um to
[00:02:29.933]
so much more
[00:02:31.629]
you have access within your report
[00:02:33.788]
to three different maps and the capabilities
[00:02:36.558]
within each map really encourages
[00:02:38.808]
you to better understand your service area
[00:02:40.919]
from a geographical standpoint.
[00:02:43.460]
Perhaps you would like to grow
[00:02:45.909]
your patron account or you're
[00:02:48.118]
opening a new library branch.
[00:02:50.250]
Um Maybe you'd like to dive deep
[00:02:52.368]
into a certain zip code or a census
[00:02:54.649]
tract. Whatever your specific
[00:02:56.689]
goals are, the data within your report
[00:02:58.929]
specifically in the maps will help support
[00:03:01.149]
your library's goals and initiatives.
[00:03:06.899]
So we're gonna head to Gale analytics
[00:03:09.008]
community insights and this is a report
[00:03:11.360]
um that is used uh
[00:03:13.990]
with some sample data from
[00:03:16.808]
um from just
[00:03:19.020]
some, some sample data that we have, but also
[00:03:21.270]
we are using a fictitious library.
[00:03:23.849]
So the data is real. However, the library
[00:03:26.520]
is um is not a real library.
[00:03:28.610]
It's near, this data is
[00:03:30.639]
in our um headquarters near our headquarters
[00:03:33.110]
in Farmington Hills, Michigan.
[00:03:35.439]
Now, this is Tableau Reader and Tableau
[00:03:37.629]
Reader is the free version of Tableau.
[00:03:39.649]
If you don't have Tableau Reader downloaded
[00:03:42.288]
on your computer, um You'll need
[00:03:44.379]
that in order to run a report and it's just
[00:03:46.520]
a simple free download tableau.com/reader.
[00:03:51.110]
Ok. So this
[00:03:53.139]
is the home page here that you're
[00:03:55.219]
looking at now.
[00:03:57.778]
And if I go to the patrons
[00:04:00.069]
and non patrons map, that's one of
[00:04:02.088]
the tabs along the bottom here. This is
[00:04:04.229]
the purple tab. So now I'm in the patrons
[00:04:06.569]
and non patrons map,
[00:04:08.080]
like I mentioned, you have access
[00:04:10.449]
to three maps. Um
[00:04:12.490]
And all of these are available on different
[00:04:14.588]
tabs. So we have the patrons and non patrons
[00:04:16.750]
map, which we'll go into in just a moment.
[00:04:19.199]
You also have access to
[00:04:21.358]
this heat map here. So this
[00:04:23.428]
is especially useful for larger
[00:04:25.920]
urban areas where you might find
[00:04:28.019]
lots of apartments, condos
[00:04:30.540]
and high density areas. So
[00:04:32.738]
high density areas will um
[00:04:34.959]
have this yellow color, low density
[00:04:37.259]
are going to be this dark blue color
[00:04:39.528]
here. And then you also have access
[00:04:41.600]
to the demographic reach map as well.
[00:04:44.449]
So this looks just like the patrons and non
[00:04:46.548]
patrons map. Although now it
[00:04:48.639]
has a colorful overlay.
[00:04:51.000]
Um and this includes race and ethnicity
[00:04:53.678]
data here.
[00:04:55.358]
So I can look at the legend at the top
[00:04:58.069]
high density is gonna be in
[00:05:00.119]
this red color. Lower density
[00:05:02.209]
is all the way in this blue color and you can
[00:05:04.230]
change the race and ethnicity up
[00:05:06.509]
here in the top left hand corner.
[00:05:09.040]
OK.
[00:05:10.399]
So I encourage you to play around
[00:05:12.528]
with these two maps um on your own
[00:05:14.759]
time. But today we're really gonna focus our
[00:05:16.778]
time and attention in this patrons and non
[00:05:18.819]
patrons map which is on this tab
[00:05:21.040]
at the bottom. So if you are following along,
[00:05:23.149]
um please make your way to the patrons and
[00:05:25.178]
non patrons map.
[00:05:27.389]
First. We're gonna take um a look
[00:05:29.410]
at some of the capabilities
[00:05:31.500]
we have on this tab. Ok.
[00:05:33.819]
So you can of course click
[00:05:36.428]
and drag and pan
[00:05:38.980]
the map all around.
[00:05:41.750]
Um You can zoom in and out so
[00:05:44.178]
you can click the plus arrow
[00:05:46.269]
and the minus arrow to zoom in and out. Now, if
[00:05:48.449]
I zoom in,
[00:05:50.108]
I can actually zoom in pretty far.
[00:05:52.629]
Um So I can get a good look
[00:05:54.730]
at um different neighborhoods,
[00:05:57.119]
businesses, obviously,
[00:05:59.199]
highways and then of course,
[00:06:01.259]
um it's nice as well to see all
[00:06:03.480]
of the various uh you know, organizations,
[00:06:06.129]
churches, parks, shopping
[00:06:08.298]
centers, movie theaters, schools.
[00:06:10.819]
Um And if I hover over each one
[00:06:13.040]
of these uh dots here, this is showing
[00:06:15.230]
me a different household. So if I hover
[00:06:17.238]
over each household, it's gonna automatically
[00:06:19.600]
give me a pop up with some information,
[00:06:22.069]
estimated household income. How long
[00:06:24.250]
they've lived there? Do they have Children?
[00:06:26.709]
Are they a patron, a non patron
[00:06:28.738]
and so on and so forth?
[00:06:31.019]
So I'm gonna go ahead and just zoom back
[00:06:33.220]
out so we can see the full service
[00:06:35.350]
area.
[00:06:38.639]
Um The legend in the top right hand
[00:06:40.689]
corner will indicate what each color
[00:06:43.009]
on the map means. So my branch
[00:06:45.389]
boundaries um are in this light
[00:06:47.738]
blue color and you can see that my service
[00:06:50.069]
area here is a square shape
[00:06:52.750]
and then I have uh one
[00:06:54.850]
dividing line that goes straight down the middle
[00:06:57.000]
and that divides my north branch
[00:06:59.079]
from my south branch.
[00:07:01.028]
So that's what that light blue means.
[00:07:03.809]
Then I also have all of my
[00:07:05.879]
non patron households in
[00:07:07.869]
this gray color and my patron
[00:07:10.040]
households in this blue color here.
[00:07:12.699]
So right off the bat before even
[00:07:14.959]
really diving in, I can already tell that
[00:07:17.088]
most of my patrons live
[00:07:19.149]
kind of in this uh area right
[00:07:21.298]
around here in my north branch
[00:07:23.329]
service area.
[00:07:25.829]
So that's your le uh your legend at the
[00:07:27.920]
top right hand corner,
[00:07:29.939]
you can also change your map measure. So
[00:07:32.100]
it automatically defaults to patrons
[00:07:34.678]
and non patrons.
[00:07:36.379]
But uh I can really change that
[00:07:38.500]
to whatever I'd like from this drop down
[00:07:40.670]
in the top left hand corner So if
[00:07:42.678]
I wanna, let's say, take a look at presence
[00:07:45.059]
of Children,
[00:07:46.439]
I can go ahead and click on that measure
[00:07:49.480]
and it changes the colors.
[00:07:52.019]
And now I can kind of get an idea of
[00:07:54.269]
where I might have, you know, a higher
[00:07:56.540]
density of families.
[00:07:58.670]
Um So the legend will change families
[00:08:01.170]
that yes, do have Children or likely
[00:08:03.829]
do have Children are gonna be these
[00:08:06.149]
um these red and, and orange
[00:08:08.410]
colors on the map. So I can automatically
[00:08:10.588]
kind of see where those pockets
[00:08:12.619]
might be.
[00:08:15.439]
Go ahead and change it back to patrons
[00:08:17.759]
and non patrons.
[00:08:20.949]
I have lots of filtering capabilities
[00:08:23.259]
and all of these filters are over here on
[00:08:25.379]
the right hand side. Now, these
[00:08:27.449]
filters, there's no limit to
[00:08:29.480]
the number of filters that you can place
[00:08:31.619]
on your map. Um And these filters
[00:08:34.019]
are the same as the filters
[00:08:36.129]
that are on this tab here.
[00:08:38.219]
So you actually have a designated tab
[00:08:40.700]
for your filters. They're a little easier
[00:08:42.940]
to read on the filters tab, but you can
[00:08:45.099]
also um apply them on
[00:08:47.379]
the patrons and non patrons map itself.
[00:08:50.129]
One thing that's important to note about
[00:08:52.519]
Tableau is that any time you place
[00:08:54.570]
a filter on any tab
[00:08:56.759]
and you pan to another tab that
[00:08:58.820]
filter persists from tab to tab
[00:09:00.859]
to tab.
[00:09:01.918]
So if I place the filter here and then I go
[00:09:04.019]
to my map, I will then see that filter
[00:09:06.340]
on my map. So no need to reset your
[00:09:08.379]
filter when you travel from tab
[00:09:10.399]
to tab. Last
[00:09:13.330]
thing I want to point out here is
[00:09:15.408]
the numbers that you're seeing in the
[00:09:17.509]
bottom left hand corner of the screen
[00:09:19.649]
underneath the map.
[00:09:21.408]
So these metrics um will change
[00:09:23.808]
depending on what filters and parameters
[00:09:26.229]
you place on the map. So those are
[00:09:28.269]
gonna update automatically and
[00:09:30.440]
it's nice because it gives you a penetration
[00:09:33.000]
percentage to reference to.
[00:09:37.830]
So I wanna share um a couple of scenarios
[00:09:40.759]
in which libraries have used
[00:09:42.859]
their specific map data to help
[00:09:45.019]
assist with some of their goals.
[00:09:47.210]
Ok. So the first is
[00:09:49.320]
a library who set up book
[00:09:51.719]
vending machines at a few places around
[00:09:54.070]
town. I believe it was the fire station
[00:09:56.820]
grocery store and a fitness center.
[00:09:59.399]
And in order to find where to place
[00:10:01.668]
these vending machines, they used a few
[00:10:04.029]
filters to look for areas of opportunity.
[00:10:07.340]
They wanted to specifically target low
[00:10:09.960]
income households who did not have
[00:10:12.168]
a library card.
[00:10:13.960]
So those two filters um are
[00:10:16.239]
gonna be estimated household income by
[00:10:18.408]
using a low income filter and then
[00:10:21.099]
the source filter down here which
[00:10:23.440]
um filters out either your patrons
[00:10:25.719]
or your non patrons.
[00:10:27.450]
So I'm gonna go ahead and go in
[00:10:30.259]
and show you how they did this. So if we
[00:10:32.340]
go to estimated household income,
[00:10:34.750]
now, of course, low income is gonna vary
[00:10:37.058]
depending on where you're located in the country.
[00:10:39.859]
Um But for the purpose of today's training
[00:10:42.359]
we'll go ahead and say, uh $50,000
[00:10:45.529]
or less. And that's an annual
[00:10:48.418]
estimated household income, so not
[00:10:50.639]
individual but total household.
[00:10:52.899]
So I would deselect all
[00:10:55.308]
and then I would reselect you always
[00:10:57.440]
wanna reselect, show library and service
[00:10:59.460]
area. So you can see your service area
[00:11:02.250]
and then reselect the income
[00:11:04.379]
ranges that you're hoping to take a look
[00:11:06.408]
at. So I'm gonna go all the way up to 50,000
[00:11:09.158]
here. As you can see,
[00:11:11.320]
a lot of the households disappeared from my map.
[00:11:14.070]
And now I'm only looking at households
[00:11:16.320]
that fall into that low income
[00:11:18.840]
category.
[00:11:20.558]
Now, this library also wanted
[00:11:22.710]
to focus on areas with non patrons.
[00:11:25.320]
So we're gonna go to source
[00:11:27.750]
and then we're gonna go ahead and just
[00:11:29.869]
leave the non patrons option selected
[00:11:32.808]
and
[00:11:33.619]
deselect patrons and patrons
[00:11:36.158]
non exp which means non
[00:11:38.340]
experian.
[00:11:39.739]
This is an interesting one. It basically
[00:11:41.788]
means that your patrons are included
[00:11:44.009]
within your file. We're counting them as patrons.
[00:11:46.788]
However, for what some reason they weren't
[00:11:49.029]
able to be matched to experian data, they still
[00:11:51.168]
count as patrons. But we're gonna go ahead and deselect
[00:11:53.668]
for now since we're only looking at non patrons.
[00:11:56.960]
Ok.
[00:11:57.899]
So with those two filters, now
[00:12:00.349]
I'm looking at my service area with
[00:12:02.989]
the filters, non patrons and
[00:12:05.109]
estimated household income of less than 50,000.
[00:12:09.279]
So right off the bat, I can see
[00:12:11.509]
that there is, you know, quite
[00:12:13.700]
a uh dense cluster
[00:12:16.099]
over here in kind of my bottom
[00:12:18.109]
right hand corner of my map,
[00:12:20.558]
I can target that area as an area
[00:12:22.739]
of opportunity.
[00:12:24.200]
Um So I'm gonna go ahead and
[00:12:26.308]
zoom in
[00:12:31.149]
and of course, when you're thinking about,
[00:12:33.479]
um you know, placing book
[00:12:35.668]
vending machines around this area
[00:12:37.989]
you would want to look for. Uh
[00:12:40.298]
here's a shopping center, a
[00:12:42.340]
movie theater, a couple of schools,
[00:12:44.529]
a dog park,
[00:12:46.090]
um hospital, a market
[00:12:48.849]
I think I saw, yeah, a couple of churches
[00:12:51.210]
in here. So this is the area
[00:12:53.580]
within my my service area, this
[00:12:55.719]
sample service area um that
[00:12:57.779]
has the highest number of
[00:13:00.239]
households that fall into those two categories,
[00:13:02.859]
low income and non patron households.
[00:13:05.960]
I could also um include
[00:13:08.320]
a lot of these stops as a part
[00:13:10.538]
of our uh mobile services route,
[00:13:12.710]
um a bike route, something like that.
[00:13:15.369]
Um set up lockers, of
[00:13:17.428]
course, anything to really
[00:13:19.629]
um you know, get them to sign up for
[00:13:21.729]
with the library card, obviously
[00:13:24.119]
have them utilize um everything
[00:13:26.489]
that the library is offering. So this looks like
[00:13:28.619]
a really good area for reaching out to
[00:13:31.178]
um in terms of library outreach,
[00:13:37.129]
knowing that this area has a dense population
[00:13:39.750]
of non patrons and low income households
[00:13:41.940]
is useful for me. Um
[00:13:43.979]
as I target this area,
[00:13:45.950]
so that's how the library determined
[00:13:47.979]
really where to place their new um
[00:13:50.219]
book vending machines. And of course, there's other
[00:13:52.340]
areas within this specific
[00:13:54.639]
service area as well. Um But that's
[00:13:56.940]
kind of the one that jumped out to me uh
[00:13:59.029]
first.
[00:14:00.750]
So if I wanna reset my filters, I can
[00:14:02.979]
go to the filters tab and then go ahead
[00:14:05.219]
and click the back arrow
[00:14:07.070]
that's gonna click
[00:14:08.989]
all of my filters back to what they
[00:14:11.099]
were. So now my map should look like how
[00:14:13.259]
it was when we started out.
[00:14:16.000]
So the second scenario here,
[00:14:19.000]
this library was applying for
[00:14:21.139]
a grant and wanted to find specific
[00:14:23.759]
metrics that would support a grant application
[00:14:26.859]
um or perhaps support their strategic
[00:14:29.109]
plan and overall initiatives.
[00:14:31.649]
So like I mentioned, the metrics
[00:14:33.849]
in the bottom left hand corner will
[00:14:36.259]
automatically change
[00:14:38.320]
um depending on the filters that you place on
[00:14:40.340]
the map.
[00:14:41.639]
And then from these numbers, you can form a percentage
[00:14:44.979]
to include in uh end
[00:14:47.330]
of year reporting, stakeholder reporting grant
[00:14:49.548]
application really whatever you are using
[00:14:51.869]
these numbers for.
[00:14:53.570]
So even just from the numbers right
[00:14:55.599]
here that you can see without any filters
[00:14:57.928]
on my map,
[00:14:59.200]
I can see that um
[00:15:01.288]
I have a total number of
[00:15:03.320]
about 30,000 households
[00:15:05.840]
to be exact 30,436
[00:15:08.340]
total households in my service area.
[00:15:11.019]
And then I also get a patron and non patron
[00:15:13.229]
breakdown as well. So of those
[00:15:15.239]
households, 2200
[00:15:17.340]
and 30 are patron households and the
[00:15:19.359]
rest are non patron households.
[00:15:22.379]
That gives me a percentage right there.
[00:15:24.399]
If I do the math, then I
[00:15:26.580]
know that about 7% of
[00:15:28.779]
the service area are members of the library
[00:15:31.019]
and 93% are not members
[00:15:33.139]
of the library. So this library has
[00:15:35.469]
a big opportunity to grow their patron
[00:15:37.548]
count since they have um quite a high
[00:15:39.739]
number of non patron households.
[00:15:42.969]
For grant applications. Specifically,
[00:15:45.200]
you could utilize the estimated household
[00:15:47.668]
income filter.
[00:15:49.210]
You could utilize the census track
[00:15:51.489]
filter. If you're looking at census tracks,
[00:15:53.649]
those will automatically populate depending
[00:15:55.820]
on your um geographic location
[00:15:58.599]
and education level attained as well.
[00:16:00.908]
So that's another filter over here that could
[00:16:03.009]
be useful.
[00:16:04.469]
So let's go ahead and place a couple
[00:16:06.729]
of education level filters
[00:16:08.899]
on the map and then look at the
[00:16:10.940]
um metrics in the bottom left hand corner.
[00:16:14.580]
So if I wanted to figure
[00:16:16.649]
out um how many households
[00:16:19.340]
in my service area
[00:16:21.109]
uh maybe had less than a high school
[00:16:23.239]
diploma or maybe had a high school diploma,
[00:16:25.599]
but no college degree
[00:16:27.519]
I could come in here and deselect
[00:16:29.649]
the all
[00:16:30.769]
and reselect show library
[00:16:32.830]
and service area.
[00:16:34.489]
I'm gonna do less than a high school diploma
[00:16:36.769]
likely and less than high school
[00:16:38.840]
diploma. Extremely likely.
[00:16:41.558]
I'm also gonna click high school diploma,
[00:16:43.629]
likely high school diploma, extremely likely.
[00:16:45.879]
So these are households within my service
[00:16:48.070]
area, both patron and non patron
[00:16:50.570]
that currently um do
[00:16:52.779]
not have a college degree.
[00:16:56.058]
Now, once I place those filters, of course,
[00:16:58.190]
my map will change, but these numbers
[00:17:00.340]
at the bottom left hand corner will change as Well,
[00:17:02.570]
so I can see that there's
[00:17:04.430]
8846
[00:17:06.509]
households that fall into these
[00:17:08.949]
categories here. So if I do the math
[00:17:11.449]
out of the total number of households
[00:17:13.938]
that lets me know that about
[00:17:15.979]
28% of
[00:17:18.178]
my service area has
[00:17:20.577]
either less than a high school diploma
[00:17:22.698]
or has a high school diploma, but
[00:17:24.888]
no college degree.
[00:17:27.229]
So that's an example of how you can use those
[00:17:29.509]
numbers really quickly and easily.
[00:17:32.108]
Um, to figure a percentage there,
[00:17:34.628]
I could of course change things up,
[00:17:36.798]
play around with the data a little bit. I
[00:17:38.888]
can deselect um, high school
[00:17:40.938]
diploma
[00:17:43.209]
likely and extremely likely. And now
[00:17:45.239]
I'm looking at households that have
[00:17:47.588]
less than a high school diploma, either
[00:17:49.858]
likely or extremely likely.
[00:17:51.789]
So now I have even fewer households,
[00:17:54.239]
of course. Um The map changes
[00:17:56.750]
a bit and then this number changes
[00:17:58.900]
as well. So 3825
[00:18:02.449]
total filtered households out
[00:18:04.598]
of my roughly 30,000 households
[00:18:06.779]
gives me 13%. About
[00:18:09.729]
so 13% have less than
[00:18:11.838]
a high school diploma. So this is great information
[00:18:14.479]
to include
[00:18:15.618]
in an education grant. Um I could
[00:18:17.640]
certainly include all of these figures.
[00:18:19.900]
Um I could also create, uh really
[00:18:22.459]
quickly create a mailing list for these households
[00:18:25.000]
to promote um, if you have a high school
[00:18:27.059]
completion program or a GED program,
[00:18:29.750]
um, you could just simply head right over to the
[00:18:31.779]
mailing list tab. It's as easy as clicking
[00:18:34.689]
mailing list. And then we have all
[00:18:36.880]
of these addresses. Um, right
[00:18:38.910]
there for direct mail and outreach.
[00:18:42.229]
Uh You wanna make sure the number matches which
[00:18:44.430]
it does.
[00:18:45.449]
Um But that's, it's as simple as that
[00:18:47.539]
to create a mailing list. So
[00:18:49.880]
when thinking about educational attainment,
[00:18:52.118]
it's handy to have those numbers readily
[00:18:54.219]
available for a grant application
[00:18:56.789]
and reporting. There's really no limit to
[00:18:58.858]
the number of filters you can place on your map.
[00:19:01.259]
So I could even go in and combine
[00:19:03.338]
estimated household income education.
[00:19:06.229]
Uh really any of these filters over here.
[00:19:09.750]
OK. I'm gonna
[00:19:11.799]
go ahead and go to the filters tab reset
[00:19:14.259]
my filters once more,
[00:19:17.009]
come back to my patrons and not non
[00:19:19.318]
patrons map. OK?
[00:19:21.400]
So in this last example, um
[00:19:23.630]
the library was planning a walk
[00:19:25.709]
to the library day for Earth Day.
[00:19:27.799]
So they wanted to create a custom mailing
[00:19:30.078]
list for households, both
[00:19:32.348]
patron and non patron households
[00:19:34.709]
who lived within about
[00:19:36.848]
a one mile radius of their
[00:19:38.939]
main library branch location.
[00:19:41.430]
So
[00:19:42.439]
in order to do this, I would use
[00:19:44.729]
um a tool up here in the top
[00:19:47.088]
left hand corner. And this tool
[00:19:49.618]
creates a custom sub collection
[00:19:52.489]
of households within your community.
[00:19:54.989]
It kind of looks like a play button, little
[00:19:57.009]
triangle. So if you hover over
[00:19:59.239]
this uh button in the top left hand
[00:20:01.259]
corner, you can either click the square
[00:20:04.009]
selection, rectangular selection,
[00:20:06.568]
radial selection or lasso selection
[00:20:08.959]
and Lasso just means like a custom
[00:20:11.380]
shape. Um So you can choose
[00:20:13.420]
whichever you'd like. Now, since this library
[00:20:15.759]
wants a one mile radius
[00:20:18.039]
from their library branch location, I'm
[00:20:20.219]
gonna go ahead and select the radial selection.
[00:20:23.719]
Once I click on that
[00:20:26.019]
I can click and drag anywhere
[00:20:28.289]
within my service area and it's
[00:20:30.430]
gonna focus on just those households.
[00:20:33.390]
So my main library location,
[00:20:35.828]
if I hover over it, it's telling me right now again,
[00:20:38.309]
this isn't a real library, but we've plotted
[00:20:40.689]
it right here gale public library and
[00:20:42.729]
it's gonna be there in red.
[00:20:44.769]
So I'm gonna go ahead and
[00:20:47.489]
click and drag.
[00:20:50.299]
Oops, I'm gonna try that one more time sometimes if
[00:20:52.459]
you land right on the dot
[00:20:54.588]
It won't do it. We'll just do
[00:20:56.519]
here.
[00:20:57.719]
Oh, ok.
[00:21:01.439]
And you'll discover too. The map is very,
[00:21:04.150]
um, sensitive. So sometimes you have to get
[00:21:06.229]
it just right.
[00:21:08.150]
But I'm gonna go ahead and click on radio
[00:21:10.199]
again.
[00:21:11.348]
Ok. We'll do here.
[00:21:13.828]
There we go. All right. So once I click
[00:21:16.338]
and I drag,
[00:21:18.140]
it's gonna give me a distance. So
[00:21:20.328]
right now, um, I'm at about
[00:21:23.199]
there we go a mile. So hopefully you can
[00:21:25.250]
see it. It's a little tricky to see. Um,
[00:21:27.479]
but you can go all the way out, you know, two
[00:21:29.559]
miles, three miles. Um,
[00:21:32.160]
we're gonna stick around the one mile mark
[00:21:34.299]
right here.
[00:21:36.410]
Ok. And now once I get to one mile,
[00:21:38.640]
I'm gonna go ahead and let go
[00:21:42.289]
once I release the mouse,
[00:21:44.588]
everything else disappears and I
[00:21:46.650]
only have those households now.
[00:21:49.209]
Ok. So all of these numbers at the bottom
[00:21:51.269]
have changed. I can see that there's
[00:21:53.568]
1884
[00:21:56.049]
households, there's the patron
[00:21:58.299]
and not patron breakdown too. So I can
[00:22:00.483]
see how many of them are patron households, how many
[00:22:02.644]
of them are non patron households? But
[00:22:04.904]
now I know where those households
[00:22:07.295]
are, who they are. Um
[00:22:09.515]
so that I can reach out to them and
[00:22:11.743]
let them know about our walk to the library
[00:22:13.894]
day for Earth Day.
[00:22:15.959]
Easy to create a mailing list
[00:22:17.969]
as well because all you have to do is
[00:22:20.039]
go right over to the mailing list. Tab.
[00:22:22.439]
Click that
[00:22:24.299]
and now I have um all of
[00:22:26.410]
these addresses for targeted outreach
[00:22:30.140]
in order to um export
[00:22:32.209]
this mailing list for your marketing team.
[00:22:34.689]
You would just simply go to worksheet
[00:22:37.108]
at the top export
[00:22:39.939]
cross tab to Excel that
[00:22:42.348]
will generate an Excel spreadsheet.
[00:22:44.469]
Um Then you can use it for targeted
[00:22:46.549]
outreach.
[00:22:48.739]
If you have um email addresses
[00:22:51.368]
included in your original file for
[00:22:53.449]
your patrons,
[00:22:54.769]
I do not, which is why they're not appearing
[00:22:56.828]
here, but all of your email addresses
[00:22:59.059]
for your patrons will appear here as well.
[00:23:01.348]
So this can act as a direct mail
[00:23:03.410]
list and also an email list
[00:23:05.618]
if you're doing newsletters and e blasts
[00:23:07.809]
and things like that. So mailing
[00:23:09.930]
list is great for creating
[00:23:12.219]
any type of um, custom
[00:23:15.009]
outreach list for your patrons
[00:23:17.088]
and your non patrons.
[00:23:21.449]
So I'm gonna go back to my map
[00:23:24.920]
and then in order to, um,
[00:23:27.269]
like I said, in order to reset
[00:23:29.848]
all of your filters, you click this arrow. However,
[00:23:32.420]
the one thing it doesn't reset is the map.
[00:23:34.989]
So you'll just want to, um, go
[00:23:37.189]
ahead and click anywhere on your map
[00:23:39.598]
once and it should reset.
[00:23:41.640]
So there's my map again without any features
[00:23:44.309]
or filters on it.
[00:23:48.489]
OK? So the possibilities
[00:23:50.630]
really are endless and I encourage
[00:23:53.078]
you to further explore the maps
[00:23:55.358]
available to you, get in there
[00:23:57.420]
and play around with the filters, play
[00:23:59.479]
around with those custom selections.
[00:24:01.920]
Um It's a great way to view
[00:24:04.000]
your community with fresh eyes.
[00:24:06.279]
Um And all of the customizations and filters
[00:24:08.578]
are really pretty easy to use.
[00:24:12.848]
OK?
[00:24:17.588]
Please know that we are here
[00:24:20.059]
to help make the most out of scale
[00:24:22.279]
analytics at your library.
[00:24:25.630]
We have a support site and if you haven't visited
[00:24:28.068]
it, I highly encourage you to
[00:24:30.630]
um take a look at it and bookmark if you'd like
[00:24:32.809]
to. It's support.gale.com/products/aod
[00:24:37.848]
standing for um analytics
[00:24:40.130]
on demand.
[00:24:41.078]
This is where you'll find an assortment of
[00:24:43.219]
training resources from printable
[00:24:45.509]
tip sheets to pre-recorded
[00:24:47.868]
webinars and tutorials on
[00:24:50.170]
many different topics related to Gale analytics.
[00:24:52.949]
Um So once this webinar is available,
[00:24:55.150]
it'll also be up on that support
[00:24:57.348]
site as well. And in addition to any future
[00:24:59.670]
Gale analytics, webinars we have.
[00:25:05.289]
So here's my contact information as well
[00:25:07.348]
as my calendar link if you have any questions,
[00:25:09.799]
like I said, specific to your library,
[00:25:12.578]
um Please don't hesitate to
[00:25:14.680]
schedule a one on one meeting with me.
[00:25:21.269]
Ok. And so I'll check the Q and A box,
[00:25:24.509]
see if we have any questions so far.
[00:25:28.439]
All right. And it looks like we don't have any questions
[00:25:30.509]
in the chat at the moment. Um
[00:25:32.529]
But hopefully today, you're walking away with
[00:25:34.660]
a few new ideas on how to utilize
[00:25:37.400]
your patrons and non patrons map.
[00:25:39.509]
And like I said, the possibilities really
[00:25:41.578]
are endless. Um I'll stay
[00:25:43.608]
on for a few minutes for any remaining questions.
[00:25:45.828]
Otherwise, thank you for being here today
[00:25:48.239]
and I look forward to seeing you at
[00:25:50.299]
a future Gale Analytics webinar.