Meeting Title: Inventory and Revenue Data Sync Date: 2025-08-07 Meeting participants: Perry’s Fellow Note Taker, Alex K, Demilade Agboola, jessicacampbell, Stephanie Plaza, Ian Biles, felipefaria, pk.arthur
WEBVTT
1 00:00:41.530 ⇒ 00:00:44.709 Alex K: Hey? Sorry I hopped in late. I don’t know
2 00:00:45.530 ⇒ 00:00:51.589 Alex K: if y’all are talking or not, but I feel like we’re all hopping in, so maybe maybe we’re all good here.
3 00:00:51.990 ⇒ 00:00:52.510 Stephanie Plaza: Hello!
4 00:00:52.510 ⇒ 00:00:55.699 Demilade Agboola: Yeah, yeah. The midterm just go. Oakland. So.
5 00:00:56.280 ⇒ 00:00:56.610 Alex K: Cool.
6 00:00:58.050 ⇒ 00:01:05.300 Alex K: That makes a lot of sense. Then, okay, I was like, huh, I don’t know what’s happening is my computer not working. It’s really quiet.
7 00:01:06.580 ⇒ 00:01:07.959 Stephanie Plaza: And Emily’s out today, right.
8 00:01:07.960 ⇒ 00:01:12.659 Alex K: Emily’s not feeling well today, so it’ll be mostly demalade running the show.
9 00:01:12.800 ⇒ 00:01:15.380 Stephanie Plaza: Unless you have any objections to milady.
10 00:01:16.340 ⇒ 00:01:18.489 Demilade Agboola: No, no objections from me.
11 00:01:20.618 ⇒ 00:01:23.370 Demilade Agboola: Are we expecting any other person.
12 00:01:25.071 ⇒ 00:01:27.960 Stephanie Plaza: Perry’s also out this week, so not her.
13 00:01:29.650 ⇒ 00:01:36.340 Demilade Agboola: Okay, I’m trying to look at the calendar. Invite to see.
14 00:01:37.470 ⇒ 00:01:41.729 Alex K: Pk, I think is the only other person I’m like would want to make sure is on.
15 00:01:43.300 ⇒ 00:01:44.530 Demilade Agboola: Script.
16 00:01:44.710 ⇒ 00:01:47.009 Alex K: Let me let me ding them real quick.
17 00:01:56.600 ⇒ 00:01:59.100 Alex K: is there? Is there like
18 00:02:00.160 ⇒ 00:02:04.640 Alex K: stuff that we’re gonna be talking about for like revenue and and whatnot with that, or.
19 00:02:05.725 ⇒ 00:02:09.770 Demilade Agboola: So right now, the major focus will be.
20 00:02:10.639 ⇒ 00:02:22.646 Demilade Agboola: So I’m getting some messages. Anytime I might do not disturb. Okay, so right now, the major focus will be on just kind of showing, like the some of the data we have available within
21 00:02:24.120 ⇒ 00:02:31.430 Demilade Agboola: looker for inventory. And then also just kind of walking through how things are going so far with the revenue as well
22 00:02:31.540 ⇒ 00:02:34.030 Demilade Agboola: cool. It’s just so that everyone’s up to speed.
23 00:02:34.030 ⇒ 00:02:35.510 Alex K: Yeah, I just wanna make sure. Pk.
24 00:02:36.690 ⇒ 00:02:45.890 Alex K: like he’s probably gonna be more focused on the revenue and less on the inventory. So I just wanna make sure that they have that context. Before saying, Hey, come on in, you know.
25 00:02:45.890 ⇒ 00:02:46.230 Demilade Agboola: Right.
26 00:02:46.230 ⇒ 00:02:48.511 Alex K: But I think honestly, I think we can get started.
27 00:02:49.700 ⇒ 00:02:51.219 Demilade Agboola: Okay. Sounds good.
28 00:02:56.670 ⇒ 00:02:58.600 Demilade Agboola: Give me one second.
29 00:03:14.780 ⇒ 00:03:17.529 Alex K: Oh, Jesse’s out sick, too. That’s the other person.
30 00:03:19.260 ⇒ 00:03:22.169 Demilade Agboola: Seems like. Seems like there’s something in the air.
31 00:03:22.170 ⇒ 00:03:27.360 Alex K: Yeah, across across the ocean, too. Yeah, with Jesse and Emily live. I don’t know.
32 00:03:27.940 ⇒ 00:03:32.140 Alex K: 1,000 miles apart. Something like that, probably more.
33 00:03:34.550 ⇒ 00:03:37.530 Demilade Agboola: Okay, so let me start sharing my screen.
34 00:03:43.790 ⇒ 00:03:51.720 Demilade Agboola: Okay, so we have an explore within looker, where we have our inventory data.
35 00:03:52.440 ⇒ 00:03:55.020 Demilade Agboola: and we’ve been able to put
36 00:03:56.170 ⇒ 00:04:03.959 Demilade Agboola: the sorry. Let’s put some of the oh, it’s it’s acting weird.
37 00:04:05.470 ⇒ 00:04:06.850 Demilade Agboola: Let me refresh the screen.
38 00:04:08.240 ⇒ 00:04:13.800 Demilade Agboola: Okay, let’s put some of the reconciliatory data.
39 00:04:14.410 ⇒ 00:04:22.260 Demilade Agboola: So we already have things like the courier quantity, damage, logistics. The marketing incorporates the shrink shrinkage, quantity.
40 00:04:22.830 ⇒ 00:04:26.180 Demilade Agboola: spoilage, quantity and systems. Mismatch quantity.
41 00:04:27.066 ⇒ 00:04:32.530 Demilade Agboola: We already have stuff about the quantity sold total quantity.
42 00:04:34.410 ⇒ 00:04:40.609 Demilade Agboola: And then I’m trying to. I believe we’re trying to make.
43 00:04:43.370 ⇒ 00:04:47.989 Demilade Agboola: I believe there should be like the uncommitted quantities as well. Specifically.
44 00:04:48.460 ⇒ 00:04:51.220 Demilade Agboola: I’m not sure if Emily has that available.
45 00:04:51.470 ⇒ 00:04:59.280 Demilade Agboola: But the basic idea here is this, this is already available right now in looker and so
46 00:04:59.680 ⇒ 00:05:04.940 Demilade Agboola: current, like dashboards you already have available. We can start expanding them
47 00:05:05.711 ⇒ 00:05:10.789 Demilade Agboola: and trying to use these numbers in our day to day.
48 00:05:11.840 ⇒ 00:05:23.729 Demilade Agboola: Also, I just have pushed a snapshots for I pushed a Pr for the snapshots of these models so we can see the values as they were, you know, historically speaking.
49 00:05:24.288 ⇒ 00:05:27.599 Demilade Agboola: so it wouldn’t just always be a function of
50 00:05:30.120 ⇒ 00:05:38.089 Demilade Agboola: And on that current at that current moment it would also be a function of hey? What? What this values? A week ago or 2 weeks ago?
51 00:05:38.619 ⇒ 00:05:48.520 Demilade Agboola: Because every time Dbt runs we’ll just take a snapshot of what those values are at that point in time. So that allows us to look back on, you know, future dates.
52 00:05:49.246 ⇒ 00:05:54.650 Demilade Agboola: So these that’s basically like a large update in what’s going on right now.
53 00:05:55.354 ⇒ 00:06:03.419 Demilade Agboola: So the explore is live. I do think Emily’s local explore has some slight changes that she hasn’t yet pushed.
54 00:06:03.670 ⇒ 00:06:09.730 Demilade Agboola: so that might be a bit of a a drawback with this
55 00:06:10.418 ⇒ 00:06:14.180 Demilade Agboola: but largely, everything is in a good spot.
56 00:06:17.010 ⇒ 00:06:23.790 Demilade Agboola: I don’t know who in particular will be using the States I know definitely. Pay will be using the States. I’m not sure if any other person will.
57 00:06:24.080 ⇒ 00:06:28.350 Demilade Agboola: and if they will be, I don’t know if you have any questions about the data.
58 00:06:33.669 ⇒ 00:06:39.609 felipefaria: No questions on my end. I’ll definitely review this. I think I’m familiar with most of these measures.
59 00:06:39.610 ⇒ 00:06:39.940 Demilade Agboola: Okay.
60 00:06:39.940 ⇒ 00:06:46.629 felipefaria: But yeah, just a question here, do do we have information on?
61 00:06:46.800 ⇒ 00:06:50.769 felipefaria: Because last time that we met you, you mentioned like, there was
62 00:06:51.260 ⇒ 00:07:08.650 felipefaria: a table that showed essentially all of the measures side by side, right? It was like a big document that at the end we had kind of like a reconcile that we could essentially see where the gaps were. Because we know that sometimes we have a lot that have.
63 00:07:08.820 ⇒ 00:07:18.839 felipefaria: like, you know, if we add up the quantity received of the lot plus sales plus adjustments. Sometimes there is a variance in there sometimes there’s more sales plus adjustments
64 00:07:19.630 ⇒ 00:07:34.569 felipefaria: combined is greater than the quantity received, and this is a a file that and now I would wanna have to help with the reconciliations at the end of the week and kind of better identify which lots
65 00:07:34.900 ⇒ 00:07:42.679 felipefaria: have an issue that we need to look into it. I don’t know if you, if you remember exactly what I’m referring to. It was just like a
66 00:07:42.820 ⇒ 00:07:52.490 felipefaria: like a document that that you and Emily were showing, that have, like all the columns side by side, and and he was working on on one that showed the variance.
67 00:07:53.810 ⇒ 00:08:00.600 Demilade Agboola: Yeah, I would need to look. It’s usually our working sheet, our working session document.
68 00:08:01.265 ⇒ 00:08:04.959 Demilade Agboola: I will try and find that and send that to you.
69 00:08:06.120 ⇒ 00:08:06.910 felipefaria: Okay.
70 00:08:07.330 ⇒ 00:08:08.910 Demilade Agboola: Okay.
71 00:08:18.020 ⇒ 00:08:25.040 Demilade Agboola: Alright. I’m not sure if any other person will be using this data in particular. But it’s just the idea is.
72 00:08:25.574 ⇒ 00:08:28.990 Demilade Agboola: we want to make it very clear that the data is available.
73 00:08:29.340 ⇒ 00:08:32.379 Demilade Agboola: And if you’re using any client dashboards
74 00:08:32.490 ⇒ 00:08:42.869 Demilade Agboola: that can be expanded or you need these numbers, you don’t necessarily have to like, go around and crunch it. They’re just right here. And you can, you know, update your looks and your dashboards with these
75 00:08:43.030 ⇒ 00:08:43.909 Demilade Agboola: members.
76 00:08:44.150 ⇒ 00:08:50.800 Alex K: I think probably I I don’t want to speak out of turn, because I’ve been a little detached from the the dev process. But Stephanie and Ian.
77 00:08:50.920 ⇒ 00:08:57.519 Alex K: I feel like y’all use this information on the Regs. Is that a a true statement.
78 00:08:57.520 ⇒ 00:09:00.890 Stephanie Plaza: Yeah, Perry as well. Who’ll all be using this? I think.
79 00:09:01.680 ⇒ 00:09:02.070 Ian Biles: Yeah.
80 00:09:02.070 ⇒ 00:09:02.900 Demilade Agboola: Okay.
81 00:09:02.900 ⇒ 00:09:08.880 Alex K: Do you all have any questions, or, you know, need need deep dives in anything.
82 00:09:09.873 ⇒ 00:09:14.120 Stephanie Plaza: I think I would have to go through it a little bit more, and then, if something popped up.
83 00:09:14.750 ⇒ 00:09:17.619 Stephanie Plaza: But nothing’s coming to mind right now.
84 00:09:19.430 ⇒ 00:09:22.729 Demilade Agboola: Okay, sounds good. So the idea of this is if you’re
85 00:09:22.990 ⇒ 00:09:26.859 Demilade Agboola: if you notice any issues, you notice any
86 00:09:27.475 ⇒ 00:09:38.734 Demilade Agboola: problems with the data feel free to reach out to myself or Emily. We’ll be here to right any wrongs, or just basically put any numbers in place that
87 00:09:39.620 ⇒ 00:09:44.159 Demilade Agboola: work in certain use cases that we may not have seen. So yeah.
88 00:09:44.300 ⇒ 00:09:46.150 Demilade Agboola: that’s part of what we’re here for.
89 00:09:46.280 ⇒ 00:09:46.940 Stephanie Plaza: Cool.
90 00:09:47.720 ⇒ 00:09:51.630 Demilade Agboola: Okay, and so for revenue.
91 00:09:52.856 ⇒ 00:10:02.233 Demilade Agboola: We have started on the process of building out this models. We don’t have any like business stakeholder models ready yet.
92 00:10:02.850 ⇒ 00:10:09.230 Demilade Agboola: but just basically what we’ve been doing. On the back end is we’ve been creating the flow
93 00:10:09.560 ⇒ 00:10:17.849 Demilade Agboola: where we I’ve gotten the list of. Like the stakeholders we’re able to sit with them, get what their business requirements were.
94 00:10:19.930 ⇒ 00:10:26.739 Demilade Agboola: figure out like what the gaps in their day to day look like, and where we can fill that with the data that they need.
95 00:10:27.000 ⇒ 00:10:33.399 Demilade Agboola: and that has been tied in our design process as well as our like model building process, so that we’re able to
96 00:10:33.600 ⇒ 00:10:35.740 Demilade Agboola: give them what data they need
97 00:10:35.900 ⇒ 00:10:38.440 Demilade Agboola: to answer whatever questions they have.
98 00:10:40.620 ⇒ 00:10:48.840 Demilade Agboola: so effectively. We’ve just been all this is just technical, Jagg on. But effect, what we’ve been doing is basically trying to figure out what sources we need.
99 00:10:49.351 ⇒ 00:11:13.279 Demilade Agboola: Where different things are coming from what we need to do to get that data in. So, for instance, there is a gap with subscriptions. And so we’re working with another partner called polyatomic. They are an ingestion tool. And the idea is we’re going to start ingesting data from loop and have that in the warehouse that we can then start to add to our revenue
100 00:11:13.400 ⇒ 00:11:14.620 Demilade Agboola: models.
101 00:11:14.880 ⇒ 00:11:18.570 Demilade Agboola: That way, we can have that data available.
102 00:11:19.281 ⇒ 00:11:22.769 Demilade Agboola: For like revenue calculations and forecasting
103 00:11:24.650 ⇒ 00:11:29.910 Demilade Agboola: And so right now, we’re also looking at the models, the flow, how we’re gonna work on it.
104 00:11:30.494 ⇒ 00:11:36.629 Demilade Agboola: This, this document is available. If anyone cares to read all this kind of stuff.
105 00:11:36.850 ⇒ 00:11:40.269 Demilade Agboola: But the idea is we are basically.
106 00:11:40.560 ⇒ 00:11:48.690 Demilade Agboola: I’ve done our audits, explain the things that there. And we also have the questions like the business questions that we want to answer
107 00:11:49.214 ⇒ 00:11:51.640 Demilade Agboola: what the path would look like
108 00:11:52.086 ⇒ 00:12:01.089 Demilade Agboola: the latency needed, as well as like what any other notes that we have. So the idea is, we just know what we’re trying to do.
109 00:12:01.210 ⇒ 00:12:06.560 Demilade Agboola: And we’re trying to build out the facts model. So a fax orders model and the facts of orders model.
110 00:12:06.810 ⇒ 00:12:19.729 Demilade Agboola: So that will be taking data from the different raw sources, and just building up in such a way that we have, like a definite table of like the logic for our orders.
111 00:12:20.241 ⇒ 00:12:31.148 Demilade Agboola: So we have fact orders. We’ll have a D models. And then eventually we’ll build out these map models that answered these questions on the screen in such a way that,
112 00:12:32.980 ⇒ 00:12:41.770 Demilade Agboola: We have these dashboards that can be powered by the aggregation of these like fact order models. The fact line order items.
113 00:12:42.290 ⇒ 00:12:45.230 Demilade Agboola: that way. We can have everything in one place.
114 00:12:45.778 ⇒ 00:13:00.269 Demilade Agboola: So yeah, that’s basically what’s happening right now, I’m working on some of the models Otam is working on some of the models. And then another personal team called Kyle, is also working on some of the models, and we’re all just like putting things together
115 00:13:00.510 ⇒ 00:13:05.020 Demilade Agboola: they get is we will work on them.
116 00:13:05.895 ⇒ 00:13:13.060 Demilade Agboola: Test the applications and then start rolling out. The Eta should be about for 3 to 4 weeks
117 00:13:13.160 ⇒ 00:13:14.699 Demilade Agboola: for the final models.
118 00:13:15.289 ⇒ 00:13:19.960 Demilade Agboola: All things being equal. But yeah, that’s basically what’s going on in revenue.
119 00:13:20.130 ⇒ 00:13:28.479 Demilade Agboola: I’m not sure if anyone is particularly interested in reading this document. But it’s right here. So we have different questions, for like marketing sales, subscriptions.
120 00:13:30.030 ⇒ 00:13:37.449 Demilade Agboola: Snop, and whatever wish list questions they also want to have, as they also have as well. So
121 00:13:37.580 ⇒ 00:13:44.510 Demilade Agboola: the idea is, we’re, you know, building it out brick by brick, and just trying to ensure that whatever we do
122 00:13:45.040 ⇒ 00:13:51.650 Demilade Agboola: is both useful as well as of the highest quality.
123 00:13:54.940 ⇒ 00:13:59.919 Demilade Agboola: I don’t know if anyone has any questions or any feedback. But that’s basically the update on revenue.
124 00:14:09.050 ⇒ 00:14:13.311 Demilade Agboola: Anybody going once, going twice, going thrice.
125 00:14:16.000 ⇒ 00:14:18.782 Alex K: Alright. I don’t think there’s any questions.
126 00:14:19.480 ⇒ 00:14:27.479 Demilade Agboola: Yeah, I I figured there will. They might not be because this is more like the like. I said, technical job on quote unquote. But it’s just the stuff that
127 00:14:28.613 ⇒ 00:14:40.759 Demilade Agboola: these are not the wrong numbers you’ll handle, and as a result, sometimes it can be very hard to like connect to them. But the idea here is just so that we show you that, like what’s happening behind the scenes and how we’re working on these things
128 00:14:42.940 ⇒ 00:14:45.548 Demilade Agboola: potentially could be stuff that
129 00:14:47.100 ⇒ 00:14:57.200 Demilade Agboola: if you care for might be a flow pattern that you might want to adopt in certain situations. If you’re trying to rebuild another part of you know your data flow.
130 00:14:57.650 ⇒ 00:15:06.010 Demilade Agboola: This might be something she might care for, and just like, want to adopt in certain parts of it. But yeah, this everything here is like
131 00:15:06.280 ⇒ 00:15:09.230 Demilade Agboola: open to anyone who cares to see or cares to read it.
132 00:15:11.090 ⇒ 00:15:17.270 Demilade Agboola: And hopefully, the idea is very soon we would have these numbers available for you to Qa.
133 00:15:17.886 ⇒ 00:15:22.869 Demilade Agboola: And just let us know if there are any issues with the final altitude.
134 00:15:25.530 ⇒ 00:15:30.069 Demilade Agboola: I I would assume that’ll be a bit more engaging than just
135 00:15:30.180 ⇒ 00:15:33.590 Demilade Agboola: a document. But I you know, it’s a process.
136 00:15:37.910 ⇒ 00:15:38.704 Demilade Agboola: Okay,
137 00:15:40.190 ⇒ 00:15:47.940 Demilade Agboola: If we don’t necessarily have any feedback, we could call it a day. Okay. See? Tq has joined
138 00:15:55.290 ⇒ 00:16:01.640 Alex K: Maybe maybe. Pk, you can. You can take a few minutes just to recap that but I don’t have any other questions.
139 00:16:02.220 ⇒ 00:16:10.280 Demilade Agboola: Okay, sounds good. So I was just basically walking through the technical design document where we have basically put
140 00:16:10.380 ⇒ 00:16:16.319 Demilade Agboola: how we plan to answer the wish list questions and like business questions that were.
141 00:16:17.156 ⇒ 00:16:21.860 Demilade Agboola: that we got from the stakeholders, which Pk was a part of that meeting.
142 00:16:26.723 ⇒ 00:16:28.090 Demilade Agboola: so basically.
143 00:16:28.340 ⇒ 00:16:35.630 Demilade Agboola: we’re just basically working on building up the base models that will answer those questions. So we’re aggregating or putting together
144 00:16:36.060 ⇒ 00:16:44.529 Demilade Agboola: in data sets for orders doing data sets for transactions. And we’re also trying to ingest subscriptions data in
145 00:16:44.640 ⇒ 00:16:45.980 Demilade Agboola: our current flow.
146 00:16:46.460 ⇒ 00:16:48.990 Demilade Agboola: And so we’re working with another partner for that
147 00:16:49.747 ⇒ 00:16:57.260 Demilade Agboola: but basically, the idea is over the next 3 to 4 weeks for plans to start rolling out the final numbers.
148 00:16:57.764 ⇒ 00:17:08.800 Demilade Agboola: Towards you, because we’re trying to build the base models, and then as them aggregated, and then we expose them in looker. And then those numbers are available to the team to use for
149 00:17:09.150 ⇒ 00:17:16.230 Demilade Agboola: dashboards, either to replace existing dashboards or to and reach existing dashboards.
150 00:17:16.510 ⇒ 00:17:18.520 Demilade Agboola: So that’s the just the current like
151 00:17:18.849 ⇒ 00:17:20.589 Demilade Agboola: heads up on what’s going on.
152 00:17:20.750 ⇒ 00:17:29.419 Demilade Agboola: I don’t know if you have any questions, or if there anything that you know, if you want to read this document, or if there’s anything that intrigues you about the entire process.
153 00:17:40.740 ⇒ 00:17:47.090 Demilade Agboola: Okay? I guess if we don’t necessarily have any feedback on that I guess we could call it a day.
154 00:17:47.995 ⇒ 00:18:01.110 Demilade Agboola: Also, just in case you might care for we I don’t know if you necessarily use it, but we do have an explore where we have, like the reconciliations and adjustments, data available.
155 00:18:01.360 ⇒ 00:18:08.550 Demilade Agboola: If that’s useful to you, that would be another place. You can start looking for data that we have pushed out.
156 00:18:12.360 ⇒ 00:18:13.790 Stephanie Plaza: Well, thank you.
157 00:18:13.790 ⇒ 00:18:14.340 jessicacampbell: Thank you.
158 00:18:14.340 ⇒ 00:18:16.840 felipefaria: Okay. Thank you. Thank you.
159 00:18:17.660 ⇒ 00:18:22.040 pk.arthur: Could you please send me the notion, Doc, in the chat? Please.
160 00:18:22.660 ⇒ 00:18:24.590 Demilade Agboola: Okay, we’ll do that right now.
161 00:18:35.190 ⇒ 00:18:36.549 pk.arthur: Thank you.
162 00:18:37.020 ⇒ 00:18:40.210 pk.arthur: Appreciate that. Oh, they gotta request access.
163 00:18:41.370 ⇒ 00:18:42.150 Demilade Agboola: Okay.
164 00:18:42.290 ⇒ 00:18:42.990 Demilade Agboola: It.
165 00:19:05.510 ⇒ 00:19:07.359 Demilade Agboola: Have you requested for access.
166 00:19:07.360 ⇒ 00:19:12.030 pk.arthur: Yeah, I just did. But it’s for my personal email, because I use like notion on my personal email.
167 00:19:12.580 ⇒ 00:19:15.590 Demilade Agboola: So that’s what that’s what like logged in originally.
168 00:19:16.920 ⇒ 00:19:17.739 Demilade Agboola: Oh, okay.
169 00:19:18.640 ⇒ 00:19:21.539 pk.arthur: It should be from arthur.prezy@gmail.com. I believe.
170 00:19:22.550 ⇒ 00:19:26.760 Demilade Agboola: Yeah, so I’m not sure. At the same time
171 00:19:27.960 ⇒ 00:19:36.069 Demilade Agboola: I can ask, I think, Amber, that is the owner. So Amber is the project manager, so I will reach out to her and just be like
172 00:19:36.640 ⇒ 00:19:40.129 Demilade Agboola: You could just requested access to the documents.
173 00:19:40.280 ⇒ 00:19:41.020 pk.arthur: Yeah.
174 00:19:41.290 ⇒ 00:19:43.470 Demilade Agboola: And so we’ll see.
175 00:19:44.430 ⇒ 00:19:51.300 pk.arthur: But it’s surprised, because, like last time when we met, I think it was with Utah like last week, I was able to get access to it, but I don’t know
176 00:19:51.790 ⇒ 00:19:53.230 pk.arthur: what changed.
177 00:19:54.070 ⇒ 00:19:55.180 pk.arthur: Let’s see.
178 00:19:55.180 ⇒ 00:19:55.800 Demilade Agboola: Let’s say.
179 00:20:14.620 ⇒ 00:20:20.629 Demilade Agboola: okay. So I just shot my message. So hopefully she she gives you access 1st of.
180 00:20:20.940 ⇒ 00:20:22.909 pk.arthur: Okay, I appreciate that. Thank you so much.
181 00:20:23.270 ⇒ 00:20:28.089 Demilade Agboola: You’re welcome, and hopefully, Emily feels better. So we can just meet tomorrow and just go over stuff.
182 00:20:28.480 ⇒ 00:20:36.060 pk.arthur: Yes, yes, definitely. Hope she does feel better, too. And that would definitely be very helpful to like. See how you guys walk through to see you guys walk through everything too.
183 00:20:36.980 ⇒ 00:20:40.509 Demilade Agboola: Yeah, yeah, hopefully, that it’s not too much of a bore.
184 00:20:40.830 ⇒ 00:20:41.230 pk.arthur: No.
185 00:20:41.230 ⇒ 00:20:42.283 Demilade Agboola: But yeah.
186 00:20:42.810 ⇒ 00:20:47.840 pk.arthur: This is mostly done like dbt, right? Or what you guys do, or, okay, yeah.
187 00:20:48.118 ⇒ 00:20:57.299 Demilade Agboola: Yeah. So we largely do stuff in Dbt, and then in some cases we it kind of depends on what we want to troubleshoot. But a lot of logic is in Dbt.
188 00:20:57.520 ⇒ 00:20:57.880 pk.arthur: Okay.
189 00:20:57.880 ⇒ 00:21:05.809 Demilade Agboola: And then we kind of just push that logic into all the output into looker and expose it as an explore for people to use.
190 00:21:06.120 ⇒ 00:21:22.039 pk.arthur: Okay, perfect. Yeah, like, I think that’d be definitely be helpful. Because I was currently like facing some struggles in terms of like just some data that was not pulling right? So like, actually, Emily yesterday, try to figure that out. But we didn’t have enough time. So hopefully, see, you guys, do it would probably help me.
191 00:21:23.530 ⇒ 00:21:25.517 Demilade Agboola: Okay, that’s fine.
192 00:21:27.560 ⇒ 00:21:32.260 Demilade Agboola: I know Amber just said she gave you access, so you should be able to look at that.
193 00:21:33.100 ⇒ 00:21:37.440 Demilade Agboola: or I’m not sure if she invited. Just said I, I invited him.
194 00:21:38.080 ⇒ 00:21:40.829 Demilade Agboola: So maybe it’s to your email.
195 00:21:40.830 ⇒ 00:21:42.560 pk.arthur: Email, okay, let me see.
196 00:21:42.560 ⇒ 00:21:43.290 Demilade Agboola: Answering.
197 00:21:43.850 ⇒ 00:21:46.839 pk.arthur: Okay, yeah, I do see that invitation.
198 00:21:47.350 ⇒ 00:21:48.770 Demilade Agboola: Okay. Sounds good.
199 00:21:49.020 ⇒ 00:21:51.509 pk.arthur: Alright. Well, thank you. I’ll talk to you tomorrow.
200 00:21:51.910 ⇒ 00:21:53.539 Demilade Agboola: Okay, talk to you tomorrow. Take care.
201 00:21:53.540 ⇒ 00:21:54.609 pk.arthur: Alright! You too! Bye.