WEBVTT

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What's going on everyone, welcome back to the game

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where we're talking about making that cheddar,

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making more money, help more people,

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scaling businesses and all that fun stuff,

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becoming unreasonably wealthy so they can question

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the meaning of our very existence.

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So I will be your host today, Alex,

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her mother's a weird saying my own name out loud.

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Today I want to talk about IT, Jan, right?

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Who gives a shit?

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Well, I think that you may want to hear me out on this

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because in multiple businesses that I have founded,

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the biggest problem that I ran into

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were technical deficiencies, so IT deficiencies,

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which I'll define IT as how you gather, store,

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analyze and display data within a business.

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What is IT stands for?

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IT stands for information technology.

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2000 years ago, information technology was a paper and pen,

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right, and probably some sort of system

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of organizing parchment, right?

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Or beads, right, for an advocates for calculating.

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You have data and then you have the collection of that data,

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you have the analysis of that data

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and then you have the displaying of that data.

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Data is how we make decisions

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and decisions are arguably the most important thing

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that you can do in a business

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which is prioritizing the resources.

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Then it would follow that having an intelligent infrastructure

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for gathering, collecting, analyzing and displaying

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information would be a priority.

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I want to share this with you

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because some of you are in this position right now

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where you run what I like to affectionately call

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a Google sheet empire, and I want to be clear.

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I don't think there's anything wrong with that,

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and I think that usually call it below $3 million a year.

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This is where a lot of businesses are.

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Sometimes up to 10, $15 million a year,

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sometimes even, is mostly comprised of Excel sheets

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and Google sheets.

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For them to run the majority of the departments they have.

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The reason that people use these type of sheets

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is because they're incredibly flexible.

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They can change.

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There's not a huge investment in a required to do that.

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The downside is they can be broken very easily.

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They're hard to organize.

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You have to manage permissions, which can also be a pain.

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This will become a constraint in the business,

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and so I am somebody who is hilariously untechnical

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and I try not to speak that over myself,

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but for the sake of this podcast,

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I will be straightforward with you.

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I will typically prioritize doing everything

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else besides this first, mostly because I just really don't enjoy it.

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I want to talk to you about two different IT implementations,

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and you're like, why am I talking about this?

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I promise you it is important.

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If you want to make a switch over to a CRM,

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which you will invariably do at some point in your business career

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because you realize that you can't just keep

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chicken scratch notes all around your office

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and think that that's somehow going to result

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in having a very good data to make good decisions

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for the business.

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As a quick sidequest here, you'll notice that many times,

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especially recently for me, the first thing I do

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when I get into a department, if I want to fix something

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or a business, is like, I just need to get data systems

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in place.

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And so despite the fact that I hate the actual implementation

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of data systems, I absolutely love data, right?

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And so it's kind of one of these very odd love-hate things.

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Like I hate the process, I love the output.

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Most of you, and actually I'm saying this

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with like fortitude here, most of you listening to this

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have shit data.

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So either you don't have data in general,

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or the data that you have is not correct.

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You don't have a lot of confidence in the data,

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which makes it just as bad, basically.

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You can't use it to make decisions.

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And the reason that collecting data

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makes a business more valuable is two things.

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One, anytime somebody would want to potentially

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acquire a business about one of the first things

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they're going to ask for is data.

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They're going to ask for, hey, send me all this information,

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right?

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And if that information that you send is in crayon

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on napkins, and I say that figuratively,

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they're going to immediately discount the value

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of the business for a couple of reasons.

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One, because it just looks like you're not

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that professional, but secondarily and far more importantly,

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they will discount the value of the business

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because they will assume and rightfully so

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that you were making the vast majority of your decisions

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based on intuition and not data.

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Because if you were making all your decisions

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based on data, then you would have good data systems

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and good reported, which you probably don't.

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And so it means that the vast majority of the decisions

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you make are just making by gut.

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And I don't care how good your gut is,

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it's not going to be better than data.

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And it's not going to be better than data

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across a variety of different departments

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measuring many different inputs and outputs

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that occur across the business.

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You're just too far away, especially as you scale,

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you're too far away.

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You can't know everything.

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And so you have to have this data not only available

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but pushed to you.

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So it's one thing to say, okay,

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these departments collect the stuff.

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It's another thing to have those people send that stuff

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to you in a curated fashion so that you can quickly

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analyze what's going on out of glance.

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Returning back to the side quest from the side quest

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with now a bejeweled sword so we can slay

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our ignorance enemies, our lack of data.

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The biggest mistake that I have made in IT implementations

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is that I was not involved directly.

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I have done four mega IT implementations.

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I've done obviously lots of smaller ones

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but like basically switch entire platforms

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for everything, souped nuts for a business.

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I've done it four times.

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Two times it went very well and two times it went very poorly.

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Would you like to know the difference?

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Well, the first time I went really poorly,

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I just said, hey, tech geek, go do that thing

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and just get a set up.

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Tech geek went around, talked every department head,

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seemed logical, asked them what they needed,

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said got it and then went back and made it.

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The problem was the data systems touch

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every component of the business

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and understanding the entirety of the business

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at a deep level and the interplay between those variables

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is something that very few people in the business can't do.

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Especially a tech geek and I say that affectionately.

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It would follow that the person who probably knows

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the most about the business should be the one

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trying to figure out how to collect the data

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that matters so that they can continue to know

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the most about the business.

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Because imagine somebody who doesn't know anything

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about marketing or sales or customer service

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creating the data and creating all the systems behind it

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for them to do their jobs without ever understanding

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any of these functions.

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It's ridiculous.

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And yet, that's exactly what I chose to do.

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So that failed miserably, so then we had to redo it.

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The next time when I was successful doing it,

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I was integrally involved in the entire process

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as painful as that was.

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And so I, number one, would encourage you

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to just basically roll your sleeves up,

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put the bell between your teeth and bite down

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and just deal with the fact that it's going to suck

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and that you're going to have to basically be very

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integrally involved in this because it touches everything.

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So if you're like, wait,

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so then why did the other two,

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one failed and one didn't?

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Well, here is the brilliant thing that I did.

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I figured after I had the successful implementation,

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what I should do is forget what made that one successful

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and go back to giving it to somebody else.

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And then guess what happened?

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It failed.

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Now, to be fair, I could have had an IT person

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who lacked the skills of doing it properly.

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Very possible.

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To be clear, I'm not saying it is impossible

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for an IT person to do this.

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I think it is unlikely that they will be able to do it

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as well as if you were integrally involved.

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Especially since you were fundamentally

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the receiver of this product.

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So it's like asking for an entirely customized workflow

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from a vendor and then wanting to be involved zero

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and telling the vendor, yeah, just go make it

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and just I'll assume that it's good.

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Of course, it's not going to work, right?

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Like you would never treat a vendor that way.

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You'd hire them and say, hey, go do this thing

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and then that's in it.

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Really unlikely that it's going to come out.

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I mean, it would just be sheer luck

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where that person would have to understand your business

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better than you, which is unlikely.

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Here's what this happens in terms of the process.

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In the beginning, you'll typically have some sort of,

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I'll call it the duct tape tech guy, right?

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This is a guy who's not truly IT, but just like techy, right?

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Like, understands how to plug different tools together,

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understands how to set stuff up, you know,

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when things break, they go in and just, you know,

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they duct tape, right, they fix it.

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That guy is typically not the guy you need

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to get to the next level.

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You need the guy who's going to work

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and I hate to say this.

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Not more slowly, but more deliberately.

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All right, it's a big difference there.

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I'm not saying get the SOIT tech guy

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because you'll just kill yourself.

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And don't do that.

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And then if you kill yourself, your business dodges

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and then, you know, then your family's alone,

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they're crying over grave, all because of a CRM.

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And that's horrible, right?

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We want to avoid that.

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And so the beginning is you just hire the duct tape bro.

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But the deliberate guy, the second guy, the better guy,

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is somebody who will purposefully basically slow you down

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to say, hey, did you know that if we changed this,

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it affects these three other areas.

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What I will do is I will take the information you give me,

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I will create a flow chart of here's all the different pieces

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that it touches.

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I want to make sure that the decisions

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that we're making of how we want to route this information

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and how it would affect these downstream impacts

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is where you want it to go.

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Because if you think that one change

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doesn't affect everything else, you're wrong.

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An IT person who does your bidding that way,

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you will love as a founder.

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And I say this, having had my fair share of duct tape tech

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keeps they just like I had, you know,

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stapled to my side because I just wanted them to do what I,

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just fix this, do this, move this here, whatever.

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You probably might be smiling thinking about this

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because you might have that person in your business

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and you're like, I love this person.

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But the thing is is that other people

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on your team all complain about them.

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And they complain about them

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because all they do is they're basically the,

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the bull in the china shop version of you

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that just knows how to click buttons.

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And so they just go and just break shit, constantly.

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You're like, I'm good with it because I get my way.

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The thing is that it net globally hurts production.

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The best people that I have found in this space for tech,

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one, worth paying more money for.

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Right off the bat, I'm just telling you right now,

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if data is one of the highest leverage things

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that you can have in order to prioritize decision-making

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and prioritize resources,

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then having somebody like that person

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is basically the person that makes you look really good

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or really bad.

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People don't think about this.

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It's like one of the highest leverage positions

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you can bring on also because you don't need

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to have a lot of IT guys.

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Like if you have a really good IT person,

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you only need like one for a while, like a while.

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And so it's a role that you should not skimp on financially

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and also in that you should not skimp on

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in terms of your involvement

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because the best IT guys in my opinion,

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the more time they spend them with you,

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the more strategic they will be

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because the more they will understand the entire business

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and the more you'll enjoy talking to them,

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which means that they'll get better.

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Basically, what this nice feedback loop

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where you and that person have a good working relationship

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rather than feeling like you put them,

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you know, in the cupboard under the stairs

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and they come out every once in a while

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when there's like a site that goes down

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or like logins you need to get changed,

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TLDR on this process.

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Number one, it is okay to have a Google sheet

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empire in the beginning,

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but over time you will need to transition

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because data is going to be one of the big constraints

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of the business in time and probably quickly,

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depending on the rate of growth.

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Number two, I define everything that falls under IT

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as the gathering, storing, analyzing,

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and displaying of data.

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That's everything that I consider under IT.

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Third, if you're going to bring this person on,

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you should have a much faster feedback loop

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with that person on a more regular cadence

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so that they can start to think more like you think

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and they can prioritize tasks accordingly.

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Otherwise, they will get buried in work.

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And the same thing goes when you have an IT department.

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Your team will ultimately start using them

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as though they are a vendor.

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They're kind of an internal services,

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if you think about what they do in a company,

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they serve the internal business,

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they support value creation.

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And so the thing is,

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a lot of times your team doesn't know how to prioritize

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their time.

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And so it's like you have somebody who says,

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hey, can you automate this thing?

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It takes me 30 minutes a week.

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And it's like, okay.

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And then it takes them a full day to do that.

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And they potentially get paid three times

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what the person who spends 30 hours a week on that,

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30 minutes a week on that work.

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It's like, oh, wow,

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I just basically spent the equivalent of 45 weeks

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of that person's time on this one task.

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And it also results in nothing, right?

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And so there are other things

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that would have been higher value for that person to do.

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And so them having the understanding of prioritization,

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coming from you in terms of tasks

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can help them do the most important stuff first.

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Four, you gotta be involved in the process.

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Click the close, soup the nuts, it sucks.

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I'm just telling you right now,

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my heart goes out to you, it sucks.

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I hate it.

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I hate it for you.

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But it's what you need to do.

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Because otherwise you will look like an idiot.

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Because you will make decisions.

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The thing is, a lot of times,

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data deficiencies manifest

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in not knowing what to do next.

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So yeah, let me get,

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this is actually probably a good drawer to open.

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If you go into a department and you're like,

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I'm not sure what we should do here.

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It's because you like data.

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I made a podcast a little bit ago

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about how important data is.

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But the process of getting that data

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is what this one is about.

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And so with that being said,

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as terrible and painful as this process may be,

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it may be one of the things that makes you the most money

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and makes you look incredibly intelligent.

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Because if you have good information,

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you will make good decisions.

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And the course to grow will be obvious.

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When it's not obvious,

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it's typically because the data you have sucks

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or doesn't even exist to begin with.

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And so with that being said,

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give your IT guy a hug.

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Tell him you'd love him and appreciate him

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or her, but I haven't seen any IT girls.

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So maybe that's just my,

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my bias system, my experience.

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So it's been an IT guy.

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Not to say that women can't do IT,

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but just in my experience.

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Anyways, with that being said,

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lots of love, make all that money

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so that you can question the very fabric

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of your own existence.

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See you in the next one.

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Bye.
