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Last Updated: July 22, 2024

Gale Analytics: Utilize the Patrons/Non-Patrons Map

Gale Analytics provides a user-friendly interface that allows libraries to general customizable reports, visualize data through charts and graphs, and export data for further analysis. It empowers library administrators and staff with the tools they need to make data-driven decisions and enhance the overall patron experience. During this training, we explore the Patrons/Non-Patrons Map, learn how to create a custom subset of households, look for areas of opportunity, and filter for various demographics. Additionally, we explore how to create a custom mailing list for targeted outreach.
Duration: 30 Minutes
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Hello and welcome to today's

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Gale Analytics webinar. I'm

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Allie Everett, your senior customer success

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manager here at Gale. And if you have

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any questions during today's training,

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feel free to use the Q and A box

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and I will leave a few extra minutes at the

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end of our session today to answer any

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additional questions.

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Our topic for today is utilizing

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the patrons and non patrons map

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within your gale analytics report.

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So hopefully after today's session,

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you'll walk away with some actionable ideas

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on how to use the map in your

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own report.

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Quick tip too. If you haven't run

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a Gale analytics report in a while,

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we recommend creating a new one

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every quarter, that's when experian

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data is updated. So that will

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give you the most current information to

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work with.

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So for our agenda today, we'll start

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with a quick overview of what Gale

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analytics is and what you can do

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with it. Then we'll dive into

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a sample report and we'll walk around the

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various features and functionalities

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available on the patrons and non

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patrons map itself.

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And then finally, I'll show you what support

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resources are available on the Gale

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analytics. Support site and I'll also

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share my contact information

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if you have any questions specific

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to your library. So questions about

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your service area or maybe

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how your report is laid out. Really

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anything at all pertaining to your library

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itself? Always feel free to reach out to

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me. So

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quick overview of what gale

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analytics is as a refresher here.

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G analytics is a

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internal library resource.

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So non uh not patron fing

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but internal that allows you to view

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your community through a whole new lens.

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It combines your patron data from

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your ils with external data

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from Experian, creating a powerful

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robot report with information on

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uh demographics, lifestyle

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insights. And so

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so much more within this report, you'll

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find lots of different charts

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and graphs and really all of the data

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found can help your library with everything

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from strategic planning to

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grant writing. Um to

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so much more

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you have access within your report

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to three different maps and the capabilities

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within each map really encourages

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you to better understand your service area

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from a geographical standpoint.

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Perhaps you would like to grow

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your patron account or you're

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opening a new library branch.

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Um Maybe you'd like to dive deep

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into a certain zip code or a census

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tract. Whatever your specific

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goals are, the data within your report

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specifically in the maps will help support

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your library's goals and initiatives.

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So we're gonna head to Gale analytics

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community insights and this is a report

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um that is used uh

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with some sample data from

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um from just

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some, some sample data that we have, but also

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we are using a fictitious library.

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So the data is real. However, the library

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is um is not a real library.

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It's near, this data is

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in our um headquarters near our headquarters

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in Farmington Hills, Michigan.

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Now, this is Tableau Reader and Tableau

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Reader is the free version of Tableau.

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If you don't have Tableau Reader downloaded

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on your computer, um You'll need

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that in order to run a report and it's just

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a simple free download tableau.com/reader.

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Ok. So this

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is the home page here that you're

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looking at now.

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And if I go to the patrons

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and non patrons map, that's one of

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the tabs along the bottom here. This is

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the purple tab. So now I'm in the patrons

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and non patrons map,

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like I mentioned, you have access

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to three maps. Um

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And all of these are available on different

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tabs. So we have the patrons and non patrons

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map, which we'll go into in just a moment.

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You also have access to

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this heat map here. So this

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is especially useful for larger

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urban areas where you might find

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lots of apartments, condos

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and high density areas. So

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high density areas will um

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have this yellow color, low density

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are going to be this dark blue color

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here. And then you also have access

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to the demographic reach map as well.

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So this looks just like the patrons and non

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patrons map. Although now it

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has a colorful overlay.

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Um and this includes race and ethnicity

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data here.

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So I can look at the legend at the top

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high density is gonna be in

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this red color. Lower density

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is all the way in this blue color and you can

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change the race and ethnicity up

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here in the top left hand corner.

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OK.

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So I encourage you to play around

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with these two maps um on your own

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time. But today we're really gonna focus our

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time and attention in this patrons and non

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patrons map which is on this tab

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at the bottom. So if you are following along,

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um please make your way to the patrons and

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non patrons map.

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First. We're gonna take um a look

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at some of the capabilities

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we have on this tab. Ok.

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So you can of course click

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and drag and pan

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the map all around.

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Um You can zoom in and out so

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you can click the plus arrow

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and the minus arrow to zoom in and out. Now, if

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I zoom in,

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I can actually zoom in pretty far.

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Um So I can get a good look

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at um different neighborhoods,

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businesses, obviously,

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highways and then of course,

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um it's nice as well to see all

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of the various uh you know, organizations,

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churches, parks, shopping

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centers, movie theaters, schools.

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Um And if I hover over each one

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of these uh dots here, this is showing

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me a different household. So if I hover

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over each household, it's gonna automatically

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give me a pop up with some information,

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estimated household income. How long

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they've lived there? Do they have Children?

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Are they a patron, a non patron

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and so on and so forth?

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So I'm gonna go ahead and just zoom back

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out so we can see the full service

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area.

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Um The legend in the top right hand

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corner will indicate what each color

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on the map means. So my branch

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boundaries um are in this light

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blue color and you can see that my service

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area here is a square shape

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and then I have uh one

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dividing line that goes straight down the middle

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and that divides my north branch

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from my south branch.

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So that's what that light blue means.

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Then I also have all of my

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non patron households in

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this gray color and my patron

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households in this blue color here.

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So right off the bat before even

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really diving in, I can already tell that

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most of my patrons live

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kind of in this uh area right

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around here in my north branch

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service area.

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So that's your le uh your legend at the

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top right hand corner,

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you can also change your map measure. So

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it automatically defaults to patrons

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and non patrons.

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But uh I can really change that

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to whatever I'd like from this drop down

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in the top left hand corner So if

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I wanna, let's say, take a look at presence

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of Children,

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I can go ahead and click on that measure

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and it changes the colors.

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And now I can kind of get an idea of

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where I might have, you know, a higher

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density of families.

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Um So the legend will change families

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that yes, do have Children or likely

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do have Children are gonna be these

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um these red and, and orange

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colors on the map. So I can automatically

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kind of see where those pockets

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might be.

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Go ahead and change it back to patrons

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and non patrons.

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I have lots of filtering capabilities

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and all of these filters are over here on

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the right hand side. Now, these

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filters, there's no limit to

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the number of filters that you can place

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on your map. Um And these filters

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are the same as the filters

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that are on this tab here.

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So you actually have a designated tab

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for your filters. They're a little easier

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to read on the filters tab, but you can

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also um apply them on

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the patrons and non patrons map itself.

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One thing that's important to note about

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Tableau is that any time you place

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a filter on any tab

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and you pan to another tab that

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filter persists from tab to tab

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to tab.

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So if I place the filter here and then I go

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to my map, I will then see that filter

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on my map. So no need to reset your

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filter when you travel from tab

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to tab. Last

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thing I want to point out here is

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the numbers that you're seeing in the

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bottom left hand corner of the screen

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underneath the map.

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So these metrics um will change

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depending on what filters and parameters

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you place on the map. So those are

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gonna update automatically and

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it's nice because it gives you a penetration

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percentage to reference to.

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So I wanna share um a couple of scenarios

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in which libraries have used

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their specific map data to help

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assist with some of their goals.

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Ok. So the first is

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a library who set up book

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vending machines at a few places around

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town. I believe it was the fire station

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grocery store and a fitness center.

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And in order to find where to place

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these vending machines, they used a few

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filters to look for areas of opportunity.

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They wanted to specifically target low

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income households who did not have

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a library card.

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So those two filters um are

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gonna be estimated household income by

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using a low income filter and then

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the source filter down here which

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um filters out either your patrons

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or your non patrons.

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So I'm gonna go ahead and go in

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and show you how they did this. So if we

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go to estimated household income,

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now, of course, low income is gonna vary

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depending on where you're located in the country.

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Um But for the purpose of today's training

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we'll go ahead and say, uh $50,000

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or less. And that's an annual

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estimated household income, so not

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individual but total household.

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So I would deselect all

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and then I would reselect you always

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wanna reselect, show library and service

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area. So you can see your service area

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and then reselect the income

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ranges that you're hoping to take a look

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at. So I'm gonna go all the way up to 50,000

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here. As you can see,

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a lot of the households disappeared from my map.

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And now I'm only looking at households

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that fall into that low income

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category.

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Now, this library also wanted

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to focus on areas with non patrons.

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So we're gonna go to source

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and then we're gonna go ahead and just

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leave the non patrons option selected

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and

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deselect patrons and patrons

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non exp which means non

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experian.

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This is an interesting one. It basically

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means that your patrons are included

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within your file. We're counting them as patrons.

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However, for what some reason they weren't

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able to be matched to experian data, they still

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count as patrons. But we're gonna go ahead and deselect

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for now since we're only looking at non patrons.

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Ok.

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So with those two filters, now

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I'm looking at my service area with

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the filters, non patrons and

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estimated household income of less than 50,000.

[00:12:09.279]
So right off the bat, I can see

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that there is, you know, quite

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a uh dense cluster

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over here in kind of my bottom

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right hand corner of my map,

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I can target that area as an area

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of opportunity.

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Um So I'm gonna go ahead and

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zoom in

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and of course, when you're thinking about,

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um you know, placing book

[00:12:35.668]
vending machines around this area

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you would want to look for. Uh

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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

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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

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a lot of these stops as a part

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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

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I have a total number of

[00:15:03.320]
about 30,000 households

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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.
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