Meeting Title: Data sources sync Date: 2026-01-13 Meeting participants: Demilade Agboola, Caitlyn Vaughn
WEBVTT
1 00:01:15.840 ⇒ 00:01:17.090 Caitlyn Vaughn: Hey, dummy!
2 00:01:18.370 ⇒ 00:01:19.969 Demilade Agboola: Hi, Caitlin, how are you?
3 00:01:20.220 ⇒ 00:01:21.560 Caitlyn Vaughn: Good, how are you?
4 00:01:21.560 ⇒ 00:01:22.709 Demilade Agboola: I’m doing very well.
5 00:01:23.780 ⇒ 00:01:27.779 Demilade Agboola: So, just straight into it.
6 00:01:28.290 ⇒ 00:01:29.930 Demilade Agboola: I know…
7 00:01:31.110 ⇒ 00:01:45.619 Demilade Agboola: that we are trying to start to set up things. So a couple of things. One is, I wanted to show you the data sources we’ve identified. I wanted to get your perspective, if we… there are more things we need to consider. And then two was…
8 00:01:45.970 ⇒ 00:01:47.390 Demilade Agboola: the…
9 00:01:47.830 ⇒ 00:01:59.500 Demilade Agboola: like, just the plan of access, like, who should we talk to, what’s the plan, and how do we get access so we can start to, set this up and, begin the ETL processes of each of the individual sources.
10 00:01:59.950 ⇒ 00:02:00.860 Caitlyn Vaughn: Okay, perfect.
11 00:02:00.860 ⇒ 00:02:01.410 Demilade Agboola: Nope.
12 00:02:01.710 ⇒ 00:02:03.909 Demilade Agboola: I’m sharing my screen.
13 00:02:07.700 ⇒ 00:02:12.480 Demilade Agboola: So, we have… A list of these sources?
14 00:02:13.400 ⇒ 00:02:17.680 Demilade Agboola: So we have, like, GTM source of Salesforce.
15 00:02:18.690 ⇒ 00:02:21.379 Demilade Agboola: We have the default database itself.
16 00:02:22.480 ⇒ 00:02:29.190 Demilade Agboola: We have Hyperline, we have QuickBooks, we have Stripe, We have farkdog.ai.
17 00:02:30.310 ⇒ 00:02:31.650 Demilade Agboola: Customer.io.
18 00:02:31.950 ⇒ 00:02:37.769 Demilade Agboola: We have Google Analytics, Do you need me to share this link with you, or is this fine?
19 00:02:38.100 ⇒ 00:02:39.949 Caitlyn Vaughn: I do have this link, as well.
20 00:02:39.950 ⇒ 00:02:41.270 Demilade Agboola: Oh, okay, that’s, that’s cool.
21 00:02:41.400 ⇒ 00:02:44.220 Demilade Agboola: Then we have Smart Lead, and we have Clay.
22 00:02:44.840 ⇒ 00:02:45.230 Caitlyn Vaughn: Okay.
23 00:02:45.520 ⇒ 00:02:49.650 Demilade Agboola: Any other data sources that we should be… we should have here?
24 00:02:50.340 ⇒ 00:02:52.720 Caitlyn Vaughn: We’re missing amplitude.
25 00:02:52.900 ⇒ 00:02:56.170 Demilade Agboola: Okay. Aren’t we setting up amplitude now, though?
26 00:02:56.670 ⇒ 00:02:57.280 Caitlyn Vaughn: Yeah.
27 00:02:57.430 ⇒ 00:02:59.130 Demilade Agboola: Okay, alright, that’s fair.
28 00:02:59.530 ⇒ 00:03:01.000 Demilade Agboola: And then…
29 00:03:01.000 ⇒ 00:03:07.079 Caitlyn Vaughn: We are also missing, we have Postgres right now.
30 00:03:07.220 ⇒ 00:03:15.259 Demilade Agboola: Okay, is there… Is there… Isn’t this post, like, isn’t a DB Postgres, or, like, do we need…
31 00:03:16.950 ⇒ 00:03:31.969 Caitlyn Vaughn: Yeah, I guess that is, technically, but I guess the point is, like, right now we have Postgres as our product backend, and we’re moving to ClickHouse as our product backend, but we are actually maintaining Postgres for a while.
32 00:03:32.070 ⇒ 00:03:41.430 Caitlyn Vaughn: Because we have to migrate over all of our current customers, and we’re gonna support the current platform along with the new platform. So we’ll need both streams of product data.
33 00:03:42.090 ⇒ 00:03:44.239 Demilade Agboola: So it’s currently inactive, or will be active soon.
34 00:03:45.350 ⇒ 00:03:48.189 Caitlyn Vaughn: Correct, and Amplitude is active right now.
35 00:03:50.030 ⇒ 00:03:52.479 Caitlyn Vaughn: But I guess, I guess it’s not hooked in, is it?
36 00:03:53.070 ⇒ 00:03:54.679 Demilade Agboola: Mmm, not yet.
37 00:03:55.380 ⇒ 00:03:56.890 Demilade Agboola: This should be…
38 00:04:04.420 ⇒ 00:04:08.780 Caitlyn Vaughn: And then we’re also missing… do we have QuickBooks in here? Yeah, we do.
39 00:04:08.780 ⇒ 00:04:09.150 Demilade Agboola: Yes.
40 00:04:09.150 ⇒ 00:04:10.940 Caitlyn Vaughn: And then… plain.
41 00:04:11.650 ⇒ 00:04:14.940 Caitlyn Vaughn: Blaine is our support ticket platform?
42 00:04:15.320 ⇒ 00:04:18.459 Demilade Agboola: Okay. Is that an I-N or N-E?
43 00:04:18.750 ⇒ 00:04:20.279 Caitlyn Vaughn: P-L-A-I-N.
44 00:04:20.540 ⇒ 00:04:28.059 Caitlyn Vaughn: I mean, I guess you tell me, because it would be nice to have data on, like, number of support tickets per customer, and, like.
45 00:04:28.300 ⇒ 00:04:29.330 Caitlyn Vaughn: Cost.
46 00:04:29.460 ⇒ 00:04:30.510 Caitlyn Vaughn: I guess.
47 00:04:32.420 ⇒ 00:04:33.180 Demilade Agboola: Okay.
48 00:04:33.450 ⇒ 00:04:34.730 Caitlyn Vaughn: Does that…
49 00:04:34.730 ⇒ 00:04:36.360 Demilade Agboola: That has, like, the…
50 00:04:36.660 ⇒ 00:04:42.099 Demilade Agboola: Also, like, people who are using it as well, like, the agents and, like, response time and all that stuff.
51 00:04:42.900 ⇒ 00:04:51.069 Caitlyn Vaughn: Yes, and, like, who the ticket was assigned to. There’s, like, a small analytics platform inside of Plain, but it’s, like, pretty… it’s pretty limited.
52 00:04:51.280 ⇒ 00:04:52.370 Demilade Agboola: Okay, alright.
53 00:04:52.680 ⇒ 00:05:02.220 Caitlyn Vaughn: And then the last one is, I’m not sure if it has been included in this list yet, but something that was requested in the ETL meeting that I had was…
54 00:05:03.020 ⇒ 00:05:11.619 Caitlyn Vaughn: basically, when we… when we launch the new platform, we’re going to have, like, a much wider TAM than we have today.
55 00:05:11.720 ⇒ 00:05:29.039 Caitlyn Vaughn: We’re also launching self-serve, right? So we’ll have free tier, we’ll have, just, like, PLG self-serve tier, we’ll have mid-market sales-led and enterprise sales-led, and that… that, like, list of prospects that we’re going after, we want to be able to, like.
56 00:05:29.360 ⇒ 00:05:32.600 Caitlyn Vaughn: track attribution-wise, but I think also, like.
57 00:05:33.630 ⇒ 00:05:37.909 Caitlyn Vaughn: Like, be able to store the list somewhere of all of the prospects that we’re going after.
58 00:05:38.270 ⇒ 00:05:41.699 Demilade Agboola: I don’t know if that would be here, or if that would be, like, elsewhere.
59 00:05:44.720 ⇒ 00:05:48.930 Demilade Agboola: I think… Where… but where is that? It’s stored, is kind of, like…
60 00:05:49.140 ⇒ 00:05:50.769 Demilade Agboola: Where will that data be stored?
61 00:05:51.260 ⇒ 00:05:55.460 Caitlyn Vaughn: We don’t have the list yet, like, it hasn’t been created, so, like.
62 00:05:55.460 ⇒ 00:06:04.300 Demilade Agboola: Is that, like, a… Okay, because I was wondering if that’s going to be, like, a Google Sheet? Is that going to be… okay, so it’s Google Sheets, probably.
63 00:06:04.300 ⇒ 00:06:05.640 Caitlyn Vaughn: Okay, yeah.
64 00:06:07.870 ⇒ 00:06:08.620 Demilade Agboola: She could totally.
65 00:06:08.620 ⇒ 00:06:10.219 Caitlyn Vaughn: do it in Google Sheets.
66 00:06:15.570 ⇒ 00:06:21.549 Demilade Agboola: Okay, alright, so you can do Google Sheets right now… It’s not yet active.
67 00:06:21.720 ⇒ 00:06:26.060 Demilade Agboola: But it’s… will be…
68 00:06:30.120 ⇒ 00:06:31.390 Demilade Agboola: This will be…
69 00:06:37.400 ⇒ 00:06:38.300 Demilade Agboola: Hmm.
70 00:06:38.840 ⇒ 00:06:44.460 Demilade Agboola: I think… will that be all now, or is there any other thing that we might not have gotten to?
71 00:06:45.420 ⇒ 00:06:50.409 Caitlyn Vaughn: Let’s see… We have Hyperline, right?
72 00:06:50.560 ⇒ 00:06:52.040 Demilade Agboola: There’s his hyperlion.
73 00:06:52.230 ⇒ 00:06:54.680 Caitlyn Vaughn: Postgres, Clickhouse, Google Analytics…
74 00:06:55.000 ⇒ 00:06:55.520 Demilade Agboola: Yes.
75 00:06:55.520 ⇒ 00:07:05.770 Caitlyn Vaughn: Amplitude… QuickBooks… Stripe, Salesforce… Plain and prospect list. Okay, that’s… that should be everything for now.
76 00:07:06.200 ⇒ 00:07:09.399 Demilade Agboola: Yeah, I do know… I know I talked to,
77 00:07:09.970 ⇒ 00:07:17.300 Demilade Agboola: Stan, and he mentioned that there are other, like, ad… like, Factors of AI is the major one, because that’s where LinkedIn ads are coming from.
78 00:07:18.710 ⇒ 00:07:24.569 Demilade Agboola: but then they also do… you also do, like, some Google Ads and some, like, Facebook ads. I don’t know if, like…
79 00:07:24.570 ⇒ 00:07:30.570 Caitlyn Vaughn: Yeah. We definitely… we used to do Google Ads, I’m sure we’ll continue to do them in the future.
80 00:07:30.570 ⇒ 00:07:33.539 Demilade Agboola: Okay. But can’t we see that through Google Analytics?
81 00:07:33.830 ⇒ 00:07:38.059 Demilade Agboola: Yeah, and we should be able to see some of that. I’m just watching, like, Facebook ads, for instance, before my.
82 00:07:38.060 ⇒ 00:07:43.220 Caitlyn Vaughn: Yeah, I don’t know if we’ve done many Facebook ads yet, but Stan would know over me.
83 00:07:43.220 ⇒ 00:07:46.560 Demilade Agboola: Okay, alright, so let’s just put it here in case it’s…
84 00:07:46.780 ⇒ 00:07:50.730 Demilade Agboola: Potentially, we’ll just put it as P2, so it’s not, like, high priority.
85 00:07:51.040 ⇒ 00:07:51.540 Caitlyn Vaughn: Perfect.
86 00:07:51.540 ⇒ 00:07:54.290 Demilade Agboola: We’ll see.
87 00:07:54.970 ⇒ 00:07:56.100 Demilade Agboola: Okay.
88 00:07:56.870 ⇒ 00:08:01.860 Demilade Agboola: So I think the question now is, who do we… because we plan to use, like, Amplitude.
89 00:08:02.130 ⇒ 00:08:07.949 Demilade Agboola: We plan to use, polyatomic for most of these.
90 00:08:08.190 ⇒ 00:08:09.420 Caitlyn Vaughn: Okay.
91 00:08:09.810 ⇒ 00:08:19.039 Demilade Agboola: they’re, like, pretty good, they… and they’re also very responsive. I think one of the… because, like, the problem with, like, a Fivetran is if they don’t have a connector.
92 00:08:19.170 ⇒ 00:08:25.830 Demilade Agboola: 510 takes forever before you can get a new one, but Polyatomic, literally, sometimes within 3 days, they get you a new
93 00:08:26.120 ⇒ 00:08:29.699 Demilade Agboola: connector, so that’s really helpful. So I just think…
94 00:08:29.700 ⇒ 00:08:30.650 Caitlyn Vaughn: connector?
95 00:08:30.830 ⇒ 00:08:39.200 Demilade Agboola: So, a connector is, like, it would take… it’s basically them connecting to the APIs.
96 00:08:39.289 ⇒ 00:08:42.880 Caitlyn Vaughn: And being able to scrape the data and load it into the warehouse.
97 00:08:43.179 ⇒ 00:08:45.660 Demilade Agboola: So that’s what they… that’s what they would handle.
98 00:08:46.440 ⇒ 00:09:05.269 Demilade Agboola: It just makes it much easier than, like, any other thing. So just, it’ll be plug and play. It will just be, hey, give us the credentials that we need for the API. We plug it to the API, and then it’s loaded into your, warehouse on a daily cadence, so we can say, hey, like, 1AM ET every morning, just for… Yeah. Yeah, so…
99 00:09:05.600 ⇒ 00:09:25.240 Caitlyn Vaughn: Okay, cool. Alright, then that brings up the next step. If we want to use Polytomic, then my questions would be, like, what is the cost to us on that? Two, we’ll probably need to go through, like, a security diligence with our, like, legal team, and then three, as for, like.
100 00:09:25.770 ⇒ 00:09:32.860 Caitlyn Vaughn: the actual, like, hooking up all of these into Polytomic. Is it difficult to hook them up, or no?
101 00:09:33.310 ⇒ 00:09:43.929 Demilade Agboola: Like, the major ones, like Postgres and Salesforce, like, QuickBooks, the, like, Stripe, the major, like, big players that they’ve done multiple times, that would be a breeze.
102 00:09:44.280 ⇒ 00:10:01.739 Demilade Agboola: Google Analytics customers should also be abrised. It may be things like clay, I’m not sure, because I’ve never done anything with clay, so I’m not sure what they have for clay. They might not, they might have something. But other things like amplitude, again, this is a very common one.
103 00:10:02.060 ⇒ 00:10:10.329 Demilade Agboola: Very common, so those ones should be, like, a breeze. It would just be, like, either setting up the credentials needed to access it.
104 00:10:10.500 ⇒ 00:10:12.729 Demilade Agboola: And that would be what we’ll be focused on.
105 00:10:13.280 ⇒ 00:10:19.190 Caitlyn Vaughn: Okay, great. So… Also, in clay, do you know what…
106 00:10:19.340 ⇒ 00:10:23.160 Caitlyn Vaughn: like, what data they want from Clay. Is it the lab?
107 00:10:23.550 ⇒ 00:10:31.350 Demilade Agboola: It was Lev, yeah. So Lev mentioned that, like, the data that they use for their decision-making process comes from Clay, so that’s where…
108 00:10:31.350 ⇒ 00:10:31.990 Caitlyn Vaughn: Huh.
109 00:10:32.370 ⇒ 00:10:33.280 Caitlyn Vaughn: Okay.
110 00:10:33.480 ⇒ 00:10:38.129 Caitlyn Vaughn: That sounds good. So we have a new hire, her name is Nautica.
111 00:10:38.270 ⇒ 00:10:39.079 Demilade Agboola: Oh, okay.
112 00:10:39.080 ⇒ 00:10:40.460 Caitlyn Vaughn: She
113 00:10:40.880 ⇒ 00:10:48.329 Caitlyn Vaughn: her, like, background is, like, kind of similar to what you guys do. She came from an agency, and was doing, like, a lot of data stuff.
114 00:10:48.410 ⇒ 00:11:06.000 Caitlyn Vaughn: Okay. So, I want her to be our internal champion for this kind of stuff. She’s also, like, a little bit younger and kind of new to all of this, so it would be a little bit of, like, training and getting her up to speed on our side, but I would love for you to, like, loop her in on all this stuff and, like, kind of teach her how to do it, so that
115 00:11:06.000 ⇒ 00:11:12.500 Caitlyn Vaughn: You know, in a year, when we don’t have access to anymore, then we have somebody that can still, like, set those things up and, like, manage it.
116 00:11:12.500 ⇒ 00:11:14.349 Caitlyn Vaughn: Is that possible?
117 00:11:14.990 ⇒ 00:11:28.410 Demilade Agboola: Oh yeah, sure. We’ll definitely just try and sync her on, like, what we’re doing so far, and she’ll be part of, like, our end-of-week updates. Yeah. And if we potentially need to have, like, one-on-one sessions, like, once a week, where we kind of talk about…
118 00:11:28.410 ⇒ 00:11:33.350 Caitlyn Vaughn: Like, what we’ve done, and why we made certain decisions, like, yeah, that’s no problem.
119 00:11:33.760 ⇒ 00:11:43.130 Caitlyn Vaughn: Okay, amazing. That sounds good. So, will you send me, for now, the pricing for Polytomic, and then…
120 00:11:43.390 ⇒ 00:11:47.300 Caitlyn Vaughn: I will connect to you. Are you the person running point on all this?
121 00:11:47.920 ⇒ 00:12:00.219 Demilade Agboola: Right now, yes. I’m basically responsible… I’m the one to touch base with on most things. Okay. If things go out of hand, or you need, like, executive decisions, yeah, it will turn, but, like, for now, yeah, I’m running points on this.
122 00:12:00.520 ⇒ 00:12:08.299 Caitlyn Vaughn: Okay, fabulous. I’m gonna connect you then with… do we need to go through, like, a sales process for Polytomic, or no? We could just self-serve.
123 00:12:09.020 ⇒ 00:12:22.600 Demilade Agboola: So with Polyatomic, we work with them, they’re one of our partners, so we have, like, easy access to them, so we can always help you, gather whatever documentation that you need, send over to you, as well as just basically,
124 00:12:23.130 ⇒ 00:12:35.249 Demilade Agboola: like, again, they’re very easy to work with. We work with them with a number of clients, like I said, even if… when they don’t have, like, the connector, we usually can get it up in, like, 3 to 4 days, so, like, they’re pretty, like, easy to work with.
125 00:12:35.550 ⇒ 00:12:40.669 Caitlyn Vaughn: Oh, amazing, I see. So if they… they have… if they don’t have a connector that we want, they will build it in 3 days.
126 00:12:40.670 ⇒ 00:12:51.179 Demilade Agboola: Yeah, exactly. So, like, that’s the huge advantage of them, because with… if you have a 5… you try to use Fivetran, sometimes, because Fivetran is big, they have so many customers.
127 00:12:51.180 ⇒ 00:12:51.710 Caitlyn Vaughn: Yeah.
128 00:12:51.710 ⇒ 00:12:59.469 Demilade Agboola: if you say, like, oh, we don’t have this connector, it just ends up in, like, a product roadmap for, like, maybe Q3 or Q4, but, like.
129 00:13:00.560 ⇒ 00:13:04.259 Demilade Agboola: Polyatomic, they are more responsive, and we’re able to get things faster.
130 00:13:04.920 ⇒ 00:13:14.010 Demilade Agboola: And their pricing is very decent, so I will send all that over to you. I also, like, in terms of access, who do we need to talk to for, like, access? Would that be Victor?
131 00:13:14.440 ⇒ 00:13:19.349 Caitlyn Vaughn: It will probably be me. It depends on…
132 00:13:19.860 ⇒ 00:13:26.490 Caitlyn Vaughn: each integration. Some of these will be easier, and some of them will be harder. I also know, like.
133 00:13:26.490 ⇒ 00:13:42.559 Caitlyn Vaughn: in our contract, we had outlined, like, certain tools that you guys would have access to, so if we’re expanding, it’s fine, but we probably once again, need to, like, loop in legal to just, like, dot the I’s and cross the T’s. And the other thing that I know Victor will ask for is…
134 00:13:42.720 ⇒ 00:13:46.319 Caitlyn Vaughn: Even if we want to go with Poly… Polytran?
135 00:13:46.760 ⇒ 00:13:47.620 Demilade Agboola: Quite atomic.
136 00:13:47.620 ⇒ 00:13:58.770 Caitlyn Vaughn: Polytomic. Fivetran? Polytomic, then we probably still need some kind of, like, decision… Matrix, or like…
137 00:13:59.330 ⇒ 00:14:08.049 Caitlyn Vaughn: we still need to, like, assess a 5tran and a Polyatomic to get to that decision. I just know that Victor’s gonna ask for that.
138 00:14:08.500 ⇒ 00:14:16.860 Caitlyn Vaughn: But if we can, like, get some materials together and, like, present it to him in a concise way, he will probably have a bunch of questions, but…
139 00:14:17.110 ⇒ 00:14:22.650 Caitlyn Vaughn: If you are, like, the right person to answer all of those questions, and then we can go through diligence with them, then…
140 00:14:22.880 ⇒ 00:14:24.719 Caitlyn Vaughn: We can start working towards this.
141 00:14:25.070 ⇒ 00:14:33.139 Demilade Agboola: Okay, alright, sounds good. So I will try and start, like, gather all the documents that you need, send over to you, and yeah.
142 00:14:33.510 ⇒ 00:14:39.580 Demilade Agboola: just… if… send it over to you and Victor, do I need to tag Victor as well, or should I just send it to you, and then you’ll look Victor in?
143 00:14:40.390 ⇒ 00:14:50.739 Caitlyn Vaughn: Yeah, I’ll talk to Victor. I’m, like, blocked on a few things with him right now, and I know he’s, like, kind of in and out of the office, so I will try to loop him on this as quickly as possible.
144 00:14:50.740 ⇒ 00:14:52.359 Demilade Agboola: Okay, alright, sounds good then.
145 00:14:52.630 ⇒ 00:14:58.559 Demilade Agboola: So I will… I will definitely try and do that again, because obviously this would be, like, a huge blocker, and if we can.
146 00:14:58.560 ⇒ 00:14:59.000 Caitlyn Vaughn: episode.
147 00:14:59.000 ⇒ 00:15:01.699 Demilade Agboola: the way, and data starts flowing into Mother Doc.
148 00:15:01.930 ⇒ 00:15:06.659 Demilade Agboola: We’re on our way to, you know, dashboards and self-service, so…
149 00:15:06.820 ⇒ 00:15:14.240 Caitlyn Vaughn: Okay, perfect, yeah, I’m so excited to have all this data in one place and, like, have access to it.
150 00:15:14.340 ⇒ 00:15:31.459 Caitlyn Vaughn: This has been such a, like, massive undertaking, obviously, for so long, so I’m, like, glad we’re finally getting it out of the way. But perfect, I will loop Victor in on this, and then… let me also ask him if he’s wanting Thomas or Nandika to be, like, more involved, or maybe both of them?
151 00:15:31.460 ⇒ 00:15:37.259 Caitlyn Vaughn: Because I imagine Thomas is going to be more of, like, the back-end person versus Namka is more of, like, front-end engineer.
152 00:15:37.580 ⇒ 00:15:38.300 Demilade Agboola: Okay.
153 00:15:38.990 ⇒ 00:15:41.359 Caitlyn Vaughn: I don’t know if we need both or neither one.
154 00:15:41.970 ⇒ 00:15:44.840 Demilade Agboola: I, I mean, right now…
155 00:15:45.380 ⇒ 00:15:50.639 Demilade Agboola: I think we just… once we have the credentials and the necessary, like, schemas.
156 00:15:50.820 ⇒ 00:16:01.849 Demilade Agboola: So schemas are, like, the shape of the data. Once we can get that, our Polyatomic helps us connect it. It will load into the mother dock, and at that point, we should be fine.
157 00:16:01.980 ⇒ 00:16:19.980 Demilade Agboola: Okay. Potentially, if we do have any issues on, like, or questions about, like, the structure of the data, or what different things in the data represents here, we can always get back to you and just be like, okay, so we see in this column that this is here, how do we identify, you know, certain things, or certain,
158 00:16:20.240 ⇒ 00:16:29.889 Demilade Agboola: like, exactly, like, how do we identify a certain team? How do we know what… how to filter out? Like, that’s kind of, like, what we were asking about, like, Mustafa was handling.
159 00:16:30.500 ⇒ 00:16:39.209 Demilade Agboola: submission, and how do we know if it was before or after, and how do we get that sort of information? So that’s where we will need, like, business context knowledge.
160 00:16:40.130 ⇒ 00:16:42.240 Demilade Agboola: of, like, the loading of data, we should be fine.
161 00:16:42.640 ⇒ 00:16:47.780 Caitlyn Vaughn: Okay, perfect. Awesome, that all sounds good. I will…
162 00:16:47.980 ⇒ 00:16:53.589 Caitlyn Vaughn: get all of that stuff over to Victor, and then get back with you as quickly as possible, but thanks for scheduling!
163 00:16:53.850 ⇒ 00:17:04.339 Demilade Agboola: Yeah, no problem. I wanted us to get this out the way so we can at least make some progress. Yeah. Before, like, instead of waiting until Thursday, where we’re just like, oh, and then we’ll be next week, and, you know, time’s.
164 00:17:04.349 ⇒ 00:17:04.859 Caitlyn Vaughn: God.
165 00:17:04.859 ⇒ 00:17:05.939 Demilade Agboola: Yeah, so…
166 00:17:05.940 ⇒ 00:17:12.779 Caitlyn Vaughn: Totally. Also, would you just put, like, a reoccurring meeting on my calendar for Thursdays? Or even Fridays?
167 00:17:12.780 ⇒ 00:17:14.049 Demilade Agboola: What time works for you?
168 00:17:14.480 ⇒ 00:17:17.859 Caitlyn Vaughn: I think we were doing, like, 11am?
169 00:17:18.339 ⇒ 00:17:20.279 Demilade Agboola: Is that what an ET or CT?
170 00:17:20.280 ⇒ 00:17:21.569 Caitlyn Vaughn: Ct.
171 00:17:21.579 ⇒ 00:17:24.099 Demilade Agboola: So, okay, so that’s, like, 12 AM 18…
172 00:17:26.240 ⇒ 00:17:29.510 Caitlyn Vaughn: You can just do, like, a 30-minute sync, or a 45-minute sync.
173 00:17:29.510 ⇒ 00:17:30.670 Demilade Agboola: Okay…
174 00:17:36.830 ⇒ 00:17:43.599 Demilade Agboola: And, default… So we’ll make it 45 minutes, and then we can save.
175 00:17:45.700 ⇒ 00:17:51.430 Demilade Agboola: Alright, so I’ll add people on my team based on, like, who needs to be there for the end of week sync.
176 00:17:52.040 ⇒ 00:17:54.649 Demilade Agboola: Did you make that reoccurring?
177 00:17:55.030 ⇒ 00:17:55.909 Demilade Agboola: Oh my god.
178 00:17:56.310 ⇒ 00:18:02.100 Caitlyn Vaughn: And you’re all good. I always forget as well, or I forget to do, like, a… like, add a meeting to it.
179 00:18:03.200 ⇒ 00:18:04.280 Demilade Agboola: Alright.
180 00:18:05.930 ⇒ 00:18:09.780 Caitlyn Vaughn: And conveniently, I’m out on the 22nd, but…
181 00:18:10.180 ⇒ 00:18:10.690 Demilade Agboola: Comes down.
182 00:18:10.690 ⇒ 00:18:11.900 Caitlyn Vaughn: bridge next week.
183 00:18:11.900 ⇒ 00:18:17.120 Demilade Agboola: Yeah, I mean, moving… I don’t know if you’ll be around on Friday, but, like, yeah, it’s always… we can always move.
184 00:18:17.800 ⇒ 00:18:21.239 Caitlyn Vaughn: Yeah, can we move next week’s to Friday at the same time?
185 00:18:21.720 ⇒ 00:18:26.290 Demilade Agboola: Okay… Gotcha, so that’s done.
186 00:18:26.370 ⇒ 00:18:26.840 Caitlyn Vaughn: Okay.
187 00:18:26.840 ⇒ 00:18:27.240 Demilade Agboola: Amazing.
188 00:18:27.370 ⇒ 00:18:30.390 Demilade Agboola: Would you just prefer Friday meetings, or is Thursday fine for you?
189 00:18:31.310 ⇒ 00:18:32.199 Caitlyn Vaughn: Wait, what’s that?
190 00:18:32.200 ⇒ 00:18:34.710 Demilade Agboola: Would you prefer Friday meetings, or is Thursday fine by you?
191 00:18:35.080 ⇒ 00:18:36.300 Caitlyn Vaughn: Thursday’s totally fine.
192 00:18:36.300 ⇒ 00:18:37.940 Demilade Agboola: Okay, gotcha. Alright then.
193 00:18:39.010 ⇒ 00:18:40.240 Demilade Agboola: So…
194 00:18:42.500 ⇒ 00:18:49.980 Demilade Agboola: Yeah, so this is kind of how it would look like once we’re done. We would have the raw data sources, we would have Polyatomic built on top of it.
195 00:18:50.530 ⇒ 00:18:52.289 Demilade Agboola: And then…
196 00:18:52.290 ⇒ 00:18:53.960 Caitlyn Vaughn: What’s the second one? Dagster?
197 00:18:53.960 ⇒ 00:19:02.419 Demilade Agboola: Yeah, so we’re having this potentially as a backup in case, like, polyatomic doesn’t work with certain sources, but the plan is polyatomic.
198 00:19:02.610 ⇒ 00:19:16.649 Demilade Agboola: Fully, and once we can… we’ll send them the list of sources to them, and they will let us know which ones that they might need any assistance, or, like, they might need, schemas and access for.
199 00:19:16.820 ⇒ 00:19:23.530 Demilade Agboola: But generally, I think polyatomics should be fine for everything. We just like to have, like, a fallback in case anything, goes wrong.
200 00:19:23.810 ⇒ 00:19:24.280 Caitlyn Vaughn: Okay.
201 00:19:24.280 ⇒ 00:19:29.779 Demilade Agboola: we’ll have model dock, and we’ll have dbt, plan to install dbt, like, get dbt on.
202 00:19:31.320 ⇒ 00:19:38.949 Demilade Agboola: And then we would have our raw data, the intermediate, and then the mod layers that will then field… that will then,
203 00:19:40.100 ⇒ 00:19:42.390 Demilade Agboola: go into Polytop… I’m going to Omni.
204 00:19:42.920 ⇒ 00:19:43.720 Demilade Agboola: I’m there.
205 00:19:43.720 ⇒ 00:19:44.320 Caitlyn Vaughn: Goodbye.
206 00:19:44.320 ⇒ 00:19:46.279 Demilade Agboola: We would have our visualization there.
207 00:19:46.450 ⇒ 00:19:52.580 Demilade Agboola: Potentially, I do know… We’re looking at some reverse ETL.
208 00:19:53.370 ⇒ 00:19:57.369 Demilade Agboola: cost, but that’s not this phase, so that’s fine. I know…
209 00:19:57.370 ⇒ 00:19:58.160 Caitlyn Vaughn: analyst.
210 00:19:58.330 ⇒ 00:19:58.990 Demilade Agboola: Yeah.
211 00:19:59.400 ⇒ 00:20:03.489 Demilade Agboola: So I know that long-term, that’s something we’re also going to look at.
212 00:20:04.290 ⇒ 00:20:07.859 Demilade Agboola: So we’ll do some reverse detailing to, like, Catalyst as well, so…
213 00:20:07.860 ⇒ 00:20:12.370 Caitlyn Vaughn: Okay, and then I went ahead and added in, like.
214 00:20:12.930 ⇒ 00:20:18.100 Caitlyn Vaughn: If these are P0, P1, P2, I’m gonna say this is P1.
215 00:20:18.210 ⇒ 00:20:26.110 Caitlyn Vaughn: Okay. This honestly might be… P0… P0…
216 00:20:30.280 ⇒ 00:20:33.269 Caitlyn Vaughn: Those are, like, the ones that actually matter.
217 00:20:33.920 ⇒ 00:20:34.570 Demilade Agboola: Okay.
218 00:20:36.200 ⇒ 00:20:37.380 Demilade Agboola: Active now, though.
219 00:20:37.790 ⇒ 00:20:40.550 Caitlyn Vaughn: It’s not active now, but it…
220 00:20:40.950 ⇒ 00:20:43.599 Caitlyn Vaughn: it’s almost done. I would say, like.
221 00:20:44.060 ⇒ 00:21:00.409 Caitlyn Vaughn: mid… what time is it right now? Probably mid-February, so in, like, 4 weeks max is when we’ll be ready to hook into it. But we do have all of our, tables built for it, so I don’t know if that is, like, the blocker for getting it set up, or…
222 00:21:00.540 ⇒ 00:21:08.000 Caitlyn Vaughn: If we actually need to… Build the events, which is probably more like amplitude, right?
223 00:21:08.750 ⇒ 00:21:12.609 Demilade Agboola: Yeah, I mean, once the tables are there, we can just set it up.
224 00:21:12.610 ⇒ 00:21:15.119 Caitlyn Vaughn: And as it starts to, like.
225 00:21:15.120 ⇒ 00:21:19.420 Demilade Agboola: Come in, it would just load into the warehouse as we need it, so…
226 00:21:19.420 ⇒ 00:21:23.649 Caitlyn Vaughn: Okay, then I think it should be good to go, like, now-ish.
227 00:21:23.650 ⇒ 00:21:24.819 Demilade Agboola: Okay, alright then.
228 00:21:25.280 ⇒ 00:21:31.700 Caitlyn Vaughn: Okay, sweet! Thank you so much for all of your help on this, I really appreciate you, and…
229 00:21:32.120 ⇒ 00:21:35.130 Caitlyn Vaughn: Keep bugging me if I ever am dragging.
230 00:21:35.790 ⇒ 00:21:39.690 Demilade Agboola: Alright, don’t worry, you don’t have to hug me twice.
231 00:21:40.000 ⇒ 00:21:42.120 Caitlyn Vaughn: Alright, thanks, Emmy.
232 00:21:42.120 ⇒ 00:21:43.440 Demilade Agboola: Alright then, have a great day.
233 00:21:43.440 ⇒ 00:21:44.660 Caitlyn Vaughn: You too, bye.