Meeting Title: Eden Daily Standup Date: 2025-03-10 Meeting participants: Uttam Kumaran, Demilade Agboola, Robert Tseng, Awaish Kumar
WEBVTT
1 00:02:03.780 ⇒ 00:02:08.070 Uttam Kumaran: Hey, guys, I think it may just be us today.
2 00:02:14.940 ⇒ 00:02:16.890 Demilade Agboola: Yeah. The client.
3 00:02:17.970 ⇒ 00:02:19.386 Uttam Kumaran: Okay, cool. So maybe
4 00:02:19.860 ⇒ 00:02:24.302 Uttam Kumaran: yeah, maybe dum a lot. I’ll let you sort of take the lead and
5 00:02:25.630 ⇒ 00:02:28.240 Uttam Kumaran: I’m I’m here to support. If you wanna
6 00:02:28.470 ⇒ 00:02:32.190 Uttam Kumaran: ask questions or we can go through your document. And that could be a good place to start.
7 00:02:34.317 ⇒ 00:02:39.612 Demilade Agboola: Yeah. So I basically have a doc. And I’m trying to figure out
8 00:02:42.010 ⇒ 00:02:49.589 Demilade Agboola: where we stand as well as like what we need to do this week specifically to be able to turn around on this client.
9 00:02:51.730 ⇒ 00:02:56.570 Demilade Agboola: I have a doc based on what I’ve read, but like it’s not let me quickly share my screen.
10 00:03:00.540 ⇒ 00:03:02.430 Demilade Agboola: Based on things I’ve seen
11 00:03:06.840 ⇒ 00:03:10.359 Demilade Agboola: So I’ve been able to note the dashboard that we have created in tableau.
12 00:03:11.135 ⇒ 00:03:14.389 Demilade Agboola: So I was also curious about the accuracy of the data.
13 00:03:15.217 ⇒ 00:03:21.580 Demilade Agboola: Bottom has answered some of the questions, and I was wondering if
14 00:03:22.360 ⇒ 00:03:26.930 Demilade Agboola: we had any of the current dashboards that could be
15 00:03:27.060 ⇒ 00:03:32.539 Demilade Agboola: attributed to like previous dashboards. And we can kind of see if we’re like off
16 00:03:33.401 ⇒ 00:03:51.680 Demilade Agboola: and I think, specifically, this was also something I was like. Heavy on like are we be? Are we able to provide daily utility, or is there like a gap between what they expect to be using versus us? Or is this simply like a knowledge gap? Being so? Is it thing of like when they have questions, or they’re trying to figure out things.
17 00:03:51.940 ⇒ 00:03:55.670 Demilade Agboola: We currently are not able to provide that information.
18 00:03:56.545 ⇒ 00:04:03.440 Demilade Agboola: And yeah, just kind of like figuring out, you know, what is the highest priority this week.
19 00:04:03.580 ⇒ 00:04:17.429 Demilade Agboola: so that will provide the most reward this week is it? Are we trying to build new dashboards? Are we trying to figure out how to improve the utility of the dashboards? Or are we just trying to fix fix the knowledge gap or like accuracy issues of what we currently exist.
20 00:04:20.500 ⇒ 00:04:26.429 Robert Tseng: Yeah, sure, I think there’s definitely a lot of ask a lot of questions together.
21 00:04:27.160 ⇒ 00:04:27.870 Robert Tseng: Think.
22 00:04:29.530 ⇒ 00:04:38.579 Robert Tseng: Well, I know you’re not like looped into all the communications yet, but I think this this morning something came up, so maybe I’ll just kind of use that as an example of
23 00:04:41.320 ⇒ 00:04:51.399 Robert Tseng: something we’ve built, how they reacted to it, what changes need to be made like level of confidence, etc, so I’ll just share. I’ll share my screen, and then I’ll just like show you what I mean.
24 00:04:52.470 ⇒ 00:04:53.000 Demilade Agboola: Okay.
25 00:04:53.990 ⇒ 00:05:00.440 Robert Tseng: Yeah. So here’s like their analyt, the main analytics channel where we kind of get called out for stuff all the time.
26 00:05:01.430 ⇒ 00:05:13.079 Robert Tseng: Yeah, here is an example. Yesterday. Adam’s the CEO. He goes in. He looks at the profitability dashboard that Bo built. It’s clearly broken. It basically shows negative profitability. Last few weeks.
27 00:05:13.327 ⇒ 00:05:17.040 Demilade Agboola: Sorry to interrupt. But are you sharing your screen? I can’t seem to say anything.
28 00:05:18.440 ⇒ 00:05:20.320 Uttam Kumaran: Yeah, sure I can. I can see it.
29 00:05:22.250 ⇒ 00:05:27.019 Robert Tseng: Maybe there’s a a separate tab in the zoom. David Lotte. Usually there’s like.
30 00:05:28.220 ⇒ 00:05:34.550 Robert Tseng: if if I’m sharing my screen, you’ll have to like. Make sure you’re over over the tab where everything is being shown.
31 00:05:36.680 ⇒ 00:05:40.820 Robert Tseng: I can. I can pause and reshare. Yes, see if that helps.
32 00:05:44.620 ⇒ 00:05:45.689 Robert Tseng: You. See that. Now.
33 00:05:47.220 ⇒ 00:05:48.449 Demilade Agboola: Yes, I can see it.
34 00:05:49.200 ⇒ 00:05:55.713 Robert Tseng: Great. Okay? So yeah, so this is like the main analytics channel. We probably would need to add you to this. But
35 00:05:56.660 ⇒ 00:06:06.239 Robert Tseng: yeah. So I kind of share updates on things that we built here. And then people react to it. The the CEO is very active in this. He cares about the data. So much so he’s always asking questions.
36 00:06:07.124 ⇒ 00:06:34.699 Robert Tseng: This is an example of like a report from the profitability dashboard that we shipped early last week we shipped it incomplete. And there was like it was broken in multiple parts. And so, yeah, he’s concerned. It looks like they’re they’re just unprofitable the past few weeks. And so the valid concern all I could really say was like, Yeah, we’re still working on revisions. And I tried to distract him by pointing him to something else that we’ve made before.
37 00:06:36.000 ⇒ 00:06:43.580 Robert Tseng: And yeah. So there’s like this revenue snapshot dashboard. He basically this morning asked it for a couple of additional fields.
38 00:06:44.080 ⇒ 00:06:49.199 Robert Tseng: So in tableau, we have, like an environment where we have multiple collections.
39 00:06:49.708 ⇒ 00:06:55.429 Robert Tseng: This is the collection that I just was working on earlier this morning, and
40 00:06:55.600 ⇒ 00:06:58.840 Robert Tseng: oh, shoot! It didn’t publish all the way through.
41 00:06:59.250 ⇒ 00:07:07.320 Robert Tseng: Okay? Well, anyway, I I had to. I made a couple of fixes locally in tableau. And then I published this workbook.
42 00:07:08.245 ⇒ 00:07:08.790 Robert Tseng: To
43 00:07:08.900 ⇒ 00:07:24.671 Robert Tseng: like to to the Cloud, I guess, for their visibility. You wanted to add in a couple of fields. I feel like this. The data here is okay, like, it basically sits on top of like a join between the fact transaction table and the dim products.
44 00:07:25.480 ⇒ 00:07:28.750 Robert Tseng: I’m assuming we validated this. I
45 00:07:29.130 ⇒ 00:07:36.619 Robert Tseng: I think the source of truth is still the order details table. Whenever we’re running queries, we’re always wanted to make sure we at least
46 00:07:37.180 ⇒ 00:07:47.710 Robert Tseng: like, I use that as a sanity check, because that’s the original model that was used at this company before we came in and did all this stuff with Dbt.
47 00:07:48.234 ⇒ 00:08:11.290 Robert Tseng: so at least, whether that’s right or wrong, that’s like what everybody anchors their assumption to. So if we’re very far off, it’s okay. If we’re making improvements to it. But just know that we will always be challenged because people are always looking at the order details table. We haven’t won enough trust with our with our models yet to con to shift paradigms there.
48 00:08:13.130 ⇒ 00:08:33.569 Robert Tseng: and then. Yeah. So, anyway, like this was like a pretty quick fix. I just had to like add a couple of metrics, and then I’m gonna publish and reshare it with them. But the main thing to kind of get off the ground like to revise is really this executive dashboard that we pulled out. So let me go and find it.
49 00:08:38.070 ⇒ 00:08:42.819 Robert Tseng: Yeah. So this is what we shipped last week. It’s not really in the format they want.
50 00:08:43.454 ⇒ 00:08:45.470 Robert Tseng: So I’ve already had.
51 00:08:45.710 ⇒ 00:08:51.479 Robert Tseng: Sahana is redesigning this. I’ve stripped this down a lot. We’re just doing
52 00:08:52.240 ⇒ 00:09:13.280 Robert Tseng: monthly revenue. And I would like to see monthly profitability by product. But I think the profitability model. This is what really needs to be worked on. The revenue stuff is pretty consistent. Sahana could just use the fact. Transactions and dim products join that I’ve I’ve built in the other view.
53 00:09:13.713 ⇒ 00:09:19.720 Robert Tseng: But like this is this data I don’t believe is right at all, like I don’t really know
54 00:09:20.110 ⇒ 00:09:46.849 Robert Tseng: what went on here, and like it hasn’t been validated. I don’t think anybody has confidence in this, so I would say that like getting the model here, up and running, whether it’s the same model. It’s fine, but like making sure that they that the calculations here are right. So I don’t know Dave a lot if you have tableau experience or not. But even if you don’t, if you could at least just like help.
55 00:09:47.060 ⇒ 00:09:49.379 Robert Tseng: whether it’s it’s a new table.
56 00:09:49.970 ⇒ 00:10:06.980 Robert Tseng: Or I mean new model, or you’re just like giving me the query that to calculate these metrics. And then I can trans. I can have myself or Sahana translate it into tableau, so she can update these these charts. I would say, like, that’s that’s the most pressing priority.
57 00:10:07.501 ⇒ 00:10:14.669 Robert Tseng: Because we’re like a few weeks late on getting this out the door. So we’re trying to catch up on on this front
58 00:10:15.470 ⇒ 00:10:24.089 Robert Tseng: so that I think from a data modeling perspective, like getting product level profitability. Right is is probably the highest priority.
59 00:10:25.420 ⇒ 00:10:26.155 Demilade Agboola: Alright!
60 00:10:27.140 ⇒ 00:10:32.170 Demilade Agboola: I will look into that it’s the executive dashboard right.
61 00:10:33.420 ⇒ 00:10:41.799 Robert Tseng: Yeah, it’s called Eden Executive dashboard. I’ll probably give you a viewer seat in tableau, so you can kind of look into it.
62 00:10:42.800 ⇒ 00:10:43.320 Demilade Agboola: Answer.
63 00:10:43.320 ⇒ 00:11:00.200 Robert Tseng: We did. We did publish a profitability dashboard here that, I think, is built this the right way. But I would also just kind of go and and check this like, I I think this is this is right. I think Sahana kind of validated this. Yes, like last late last week. And
64 00:11:00.520 ⇒ 00:11:05.220 Robert Tseng: companies. Okay with it. So at least, this kind of gives us yeah, like.
65 00:11:05.220 ⇒ 00:11:06.230 Demilade Agboola: Confidence.
66 00:11:06.680 ⇒ 00:11:07.210 Robert Tseng: Some company.
67 00:11:07.210 ⇒ 00:11:08.260 Demilade Agboola: Question. I’ve got
68 00:11:08.530 ⇒ 00:11:15.221 Demilade Agboola: your questions for the some of the definitions from for these like values. Or these
69 00:11:16.000 ⇒ 00:11:23.129 Demilade Agboola: like Mcac, are they like predefined today, like, how are we ensuring that we know
70 00:11:24.090 ⇒ 00:11:29.430 Demilade Agboola: what, how like, how it’s properly used like if it’s been properly defined in our tableau.
71 00:11:30.480 ⇒ 00:11:38.565 Robert Tseng: Yeah, I mean, there is some like tribal knowledge. It’s really in the order. Statuses that I think are confusing.
72 00:11:39.160 ⇒ 00:11:42.759 Robert Tseng: yeah. But I mean we can have a separate
73 00:11:42.910 ⇒ 00:11:47.717 Robert Tseng: thread or session on that. Like, I’ve yeah, I think
74 00:11:49.060 ⇒ 00:11:53.559 Robert Tseng: that one’s probably the most confusing. I can use this as an example, probably.
75 00:11:55.030 ⇒ 00:12:02.769 Robert Tseng: Let’s use like new customers from yesterday, for example.
76 00:12:05.280 ⇒ 00:12:12.025 Robert Tseng: So order statuses are that are not like every there’s
77 00:12:13.660 ⇒ 00:12:25.959 Robert Tseng: I mean. I wish I had a visual to show you the different order stages. I don’t have a good one, so I think maybe if I could just summarize it like every every live order actually starts in abandoned state.
78 00:12:27.492 ⇒ 00:12:31.829 Robert Tseng: So that’s not intuitive, obviously. And yeah.
79 00:12:32.150 ⇒ 00:12:35.750 Robert Tseng: And then from abandoned, it moves into pending.
80 00:12:35.850 ⇒ 00:12:41.860 Robert Tseng: And then for pending it may, you know, be shipped, or like kind of sent to pharmacy, or whatever.
81 00:12:41.970 ⇒ 00:12:46.220 Robert Tseng: So those are all like potentially live statuses
82 00:12:46.380 ⇒ 00:12:55.420 Robert Tseng: canceled an error that’s more straightforward. It’s just like it’s a it’s a that’s not a valid order. But like for new customers.
83 00:12:55.530 ⇒ 00:13:07.236 Robert Tseng: new customer, new order or new revenue. We would include abandoned because we expect, like, something like 80 to 90% of these to actually turn into real customers.
84 00:13:07.790 ⇒ 00:13:12.840 Robert Tseng: yeah, I think so. We just assume that or actually
85 00:13:13.040 ⇒ 00:13:16.929 Robert Tseng: no. Sorry. We don’t make that assumption that we’re actually, I’m actually excluding it here.
86 00:13:18.260 ⇒ 00:13:20.810 Robert Tseng: Yeah. So for new, I’m only considering
87 00:13:22.810 ⇒ 00:13:31.249 Robert Tseng: orders. I have moved beyond the abandoned state, whereas, like maybe for a pending customer, I’m only including those that are in the abandoned state.
88 00:13:33.150 ⇒ 00:13:38.359 Robert Tseng: I expect most of them to kind of turn into mute to live live orders, or whatever.
89 00:13:39.193 ⇒ 00:13:44.690 Robert Tseng: So I would say, that’s probably like the the weirdest thing that you probably wouldn’t get
90 00:13:45.090 ⇒ 00:13:46.597 Robert Tseng: from reading it.
91 00:13:47.270 ⇒ 00:13:53.899 Robert Tseng: and then, as far as like Ncac. Or Ltv. Or any of those other things that you saw here.
92 00:13:55.770 ⇒ 00:14:04.280 Robert Tseng: Yeah, I mean, this is pretty straightforward. This is just total ad spend over
93 00:14:04.430 ⇒ 00:14:15.459 Robert Tseng: the number of customers. So like the customer order definitions we already have, and we have the ad spend. So that’s just a straight, you know, division
94 00:14:16.075 ⇒ 00:14:33.470 Robert Tseng: and then profit. Right now I think we’d we’d have to. I’d have to click into this model to know, like what, how it was calculated. But yeah, I think generally these are not super. There’s nothing that custom about this calculation. It’s pretty should be pretty short.
95 00:14:34.740 ⇒ 00:14:35.350 Robert Tseng: Yeah.
96 00:14:36.990 ⇒ 00:14:40.157 Demilade Agboola: Alright sounds good. So I’ll look into like profitability.
97 00:14:40.720 ⇒ 00:14:45.480 Demilade Agboola: And I’ll just ask any questions on our slack channel.
98 00:14:48.730 ⇒ 00:14:52.310 Demilade Agboola: Yeah, I’ll I’m like, I’m actually looking at it as we speak. So.
99 00:14:52.870 ⇒ 00:15:04.380 Robert Tseng: Yeah, okay, I think that would be a good place to start, because once you really understand it, you would understand the revenue, you understand ad spend cac and and profit like that. That’ll catch you up pretty much, just from understanding that.
100 00:15:06.040 ⇒ 00:15:08.029 Demilade Agboola: Okay. Sounds good.
101 00:15:08.530 ⇒ 00:15:20.740 Robert Tseng: Yeah, there’s other stuff in the roadmap. But like we, I guess we can decide. We want to talk through that now or later. But I would say, that’s probably what we’re trying to fix in the next couple of days. Hopefully.
102 00:15:31.290 ⇒ 00:15:34.740 Uttam Kumaran: I didn’t have much else outside of that, so I’m sort of
103 00:15:35.190 ⇒ 00:15:36.879 Uttam Kumaran: I’m here to support. I think.
104 00:15:37.120 ⇒ 00:15:40.710 Uttam Kumaran: Demo, I think you have pretty clear. Next steps.
105 00:15:40.840 ⇒ 00:15:52.160 Uttam Kumaran: Let me know if you, if I can help with access to anything. But it’s really it’s around this core like revenue reporting question. And then, basically having very clear documentation around what logic we’re doing.
106 00:15:53.860 ⇒ 00:15:54.640 Uttam Kumaran: Yeah.
107 00:15:57.050 ⇒ 00:16:02.269 Robert Tseng: Yeah, I mean, we’re we’re we’re. We’re a bit behind on like getting new data sources in
108 00:16:03.445 ⇒ 00:16:08.029 Robert Tseng: like, I don’t think shipbo seems like. It’s in the best place yet, and then
109 00:16:08.430 ⇒ 00:16:10.689 Robert Tseng: I think I don’t really know
110 00:16:11.240 ⇒ 00:16:15.619 Robert Tseng: Sahana’s progress on like the Zendesk dashboard, or anything. So
111 00:16:16.273 ⇒ 00:16:18.680 Robert Tseng: I think we probably would need some.
112 00:16:19.210 ⇒ 00:16:26.769 Robert Tseng: I need some updates on that front as well. Like, I don’t know if we’ve really brought in any new data the past 2 weeks. Honestly, yeah.
113 00:16:29.550 ⇒ 00:16:33.554 Robert Tseng: I know the type form data. We talked you you kind of brought that in last week.
114 00:16:34.120 ⇒ 00:16:42.129 Robert Tseng: I I could probably tee that up as something that we can finish the analysis for this week. That seems pretty low hanging fruit. But
115 00:16:42.880 ⇒ 00:16:48.678 Robert Tseng: but yeah, I think yeah, there’s probably other. I mean there’s more coming that I just haven’t
116 00:16:49.210 ⇒ 00:16:51.019 Robert Tseng: asked us to do yet.
117 00:16:52.400 ⇒ 00:17:01.829 Uttam Kumaran: Yeah, the shipping the ship out data dude. I just keep getting like bad news from the ship team like the lady who I’ve been talking to is like, Well, I’m out of office, so
118 00:17:02.460 ⇒ 00:17:04.440 Uttam Kumaran: it’s been fucking horrible.
119 00:17:05.050 ⇒ 00:17:11.870 Uttam Kumaran: So I literally messaging every single day on so I can get it through. But I’ll start to loop other folks in on the team here.
120 00:17:12.819 ⇒ 00:17:18.119 Uttam Kumaran: Okay, that can help push this forward.
121 00:17:20.495 ⇒ 00:17:27.880 Demilade Agboola: But what’s the priority on that getting that data in like, how urgent is it for dashboards are? Is that like delaying.
122 00:17:31.141 ⇒ 00:17:32.750 Robert Tseng: For the ship. Oh, data.
123 00:17:33.180 ⇒ 00:17:33.790 Demilade Agboola: Yeah.
124 00:17:38.070 ⇒ 00:17:40.600 Robert Tseng: So I mean, there’s a couple things that
125 00:17:41.390 ⇒ 00:17:43.389 Robert Tseng: let me reshare my screen again.
126 00:17:44.140 ⇒ 00:17:44.620 Robert Tseng: Think,
127 00:17:48.400 ⇒ 00:17:54.729 Robert Tseng: yeah. So this is kind of how I manage like expectations with them on, like what we’re working on
128 00:17:54.930 ⇒ 00:17:57.365 Robert Tseng: probably needs to be a bit updated. But
129 00:18:00.090 ⇒ 00:18:06.560 Robert Tseng: yeah, I mean, I already kind of bumped everything back. I was. I was. I basically
130 00:18:06.880 ⇒ 00:18:10.540 Robert Tseng: I think the Zendesk reporting
131 00:18:11.910 ⇒ 00:18:18.110 Robert Tseng: supposed to be shared out end of week. I already kind of moved this back like 2 weeks.
132 00:18:18.590 ⇒ 00:18:38.840 Robert Tseng: shipbo. I don’t think there was a clear use case for what to do with it yet, except for this order, status, tracking dashboard, which we did. We haven’t actually designed. I think Sahana is still not done with the other dashboard, so I I would say it’s probably not the most urgent. But we’ve been saying that we we’re going to use it for a while because
133 00:18:38.940 ⇒ 00:18:44.260 Robert Tseng: we were going to launch this Geolift study from Bo, which never happened?
134 00:18:45.100 ⇒ 00:18:47.239 Robert Tseng: so I think I might have to like
135 00:18:47.350 ⇒ 00:18:53.500 Robert Tseng: reset expectations with their team, too. And basically say, we’re not running this like, I don’t. I don’t really know. Like
136 00:18:53.630 ⇒ 00:19:06.379 Robert Tseng: I, I feel like I promised ship. Oh, because we needed location data for orders so that Bo could run his his experiment. But we we pulled Bo off of the project. So I don’t really know what’s gonna happen to his
137 00:19:06.710 ⇒ 00:19:30.129 Robert Tseng: project. I may just hide it. And we’re not. Gonna we’re just. We might just cut that off. So maybe ship. Oh, isn’t the most urgent right now. It’s just maybe getting us the support we need to get. Yeah, the revenue or profitability stuff done. And then if Sahana needs anything on the Zendesk side, making sure that we’re ready for that.
138 00:19:33.490 ⇒ 00:19:36.260 Robert Tseng: Yeah, I might. I might just pull this out.
139 00:19:37.030 ⇒ 00:19:39.459 Uttam Kumaran: If you I mean, if you have like, what the
140 00:19:40.050 ⇒ 00:19:42.580 Uttam Kumaran: the hypothesis or the question is like.
141 00:19:42.870 ⇒ 00:19:46.770 Uttam Kumaran: I can see how else we can get it done like without any complication. I mean.
142 00:19:47.230 ⇒ 00:19:48.539 Uttam Kumaran: I don’t know. I.
143 00:19:50.700 ⇒ 00:19:52.240 Robert Tseng: You mean on the Geolift.
144 00:19:52.720 ⇒ 00:19:53.560 Uttam Kumaran: Yeah.
145 00:19:54.500 ⇒ 00:19:59.429 Robert Tseng: Yeah, I mean, he was just gonna use Meta’s geolift model. And he was just gonna run our order data through it.
146 00:20:00.910 ⇒ 00:20:03.550 Uttam Kumaran: But what is like? What is the what is the question.
147 00:20:04.800 ⇒ 00:20:10.449 Robert Tseng: The question is just like for our on for like
148 00:20:14.510 ⇒ 00:20:27.369 Robert Tseng: or brand, I mean, we can send you. I can send you the notion, Doc, but basically for branded search campaigns, or just like non product specific campaigns, what effect does it actually have on driving like.
149 00:20:29.280 ⇒ 00:20:30.949 Robert Tseng: Drive quarters. Yeah.
150 00:20:31.330 ⇒ 00:20:43.449 Robert Tseng: right? Because it’s a it’s supposed to be a causality analysis on like, if you spend your dollar in this way, it’s gonna send orders to, you know, whatever to to that product of that location
151 00:20:44.550 ⇒ 00:20:51.998 Robert Tseng: based on some proba probabilistic like trends that, like Meta has baked into like an algorithm. I guess. So,
152 00:20:52.620 ⇒ 00:20:56.680 Robert Tseng: yeah, cause right now, we’re just spreading ad spend across product distribution.
153 00:20:57.300 ⇒ 00:21:01.259 Robert Tseng: And we were supposed to try to improve that model by running this.
154 00:21:08.880 ⇒ 00:21:09.510 Uttam Kumaran: Okay.
155 00:21:09.930 ⇒ 00:21:10.670 Uttam Kumaran: Okay.
156 00:21:14.470 ⇒ 00:21:18.749 Demilade Agboola: I think my best, just like, take it off for now. And if we can
157 00:21:19.390 ⇒ 00:21:31.619 Demilade Agboola: handle a bit more in the coming like days and weeks then, sure. But I think yes, getting people in will be great. So at least there’s the option of being able to do it. But you know, if we can’t, I guess
158 00:21:33.280 ⇒ 00:21:35.369 Demilade Agboola: that won’t be just constant.
159 00:21:36.910 ⇒ 00:21:40.610 Robert Tseng: Yeah, I mean, there’s other data that I’ve been asked to like.
160 00:21:40.930 ⇒ 00:21:43.309 Robert Tseng: bring in that. I just keep ignoring.
161 00:21:43.840 ⇒ 00:21:45.690 Robert Tseng: There’s some of this like.
162 00:21:46.820 ⇒ 00:21:56.959 Robert Tseng: yeah, it’s basically more marketing data. People want to know, like how we’re handling north main data. Do we have a plan for like how we’re gonna set up direct integrations with ad platforms.
163 00:21:57.669 ⇒ 00:22:07.539 Robert Tseng: There’s new affiliate data that’s coming in that like I haven’t agreed to to to set up. So I would say, like, it’s probably in our best interest to just
164 00:22:08.070 ⇒ 00:22:14.038 Robert Tseng: kind of build a plan around like what we’re gonna do with the marketing data coming in.
165 00:22:14.750 ⇒ 00:22:22.270 Robert Tseng: so yeah, I’m I’m okay with, like, kicking, kicking this stuff down the line. Like, yeah.
166 00:22:24.340 ⇒ 00:22:29.080 Robert Tseng: I I think, basically, the adjustment I want to make is before we were doing
167 00:22:29.810 ⇒ 00:22:33.400 Robert Tseng: a bunch of different things for different teams.
168 00:22:33.510 ⇒ 00:22:52.713 Robert Tseng: I I think the the Cx and pharmacy teams, after we send them this agent dashboard that’s that should cover, like most of their requests. So I don’t expect there to be anything else from them. Then we’re really just gonna narrow our scope and just work with marketing. And
169 00:22:53.970 ⇒ 00:22:57.720 Robert Tseng: yeah, I think, just yeah, I think that’s
170 00:22:57.910 ⇒ 00:23:02.264 Robert Tseng: that. I think that’s just where the attention is. And
171 00:23:02.940 ⇒ 00:23:06.859 Robert Tseng: yeah, we. That’s that’s probably where our our time is best spent.
172 00:23:08.410 ⇒ 00:23:13.239 Robert Tseng: So maybe, Dame, a lot, it’d be helpful for you to just be aware of. Like
173 00:23:13.750 ⇒ 00:23:24.189 Robert Tseng: all the different marketing data sources. They have coming in. Yeah, figuring out how we’re going to
174 00:23:25.420 ⇒ 00:23:31.470 Robert Tseng: like, how much do we move out of segment into setting it up into setting up direct connections.
175 00:23:32.850 ⇒ 00:23:40.259 Robert Tseng: for these new data requests like, How do I? How do I like work with you to get it on on your radar. And
176 00:23:40.762 ⇒ 00:23:45.550 Robert Tseng: yeah, I would want you to kind of help me communicate to the team
177 00:23:45.960 ⇒ 00:23:55.060 Robert Tseng: like how we’re prioritizing, like the marketing data roadmap. Because that’s probably where most of the sources are coming in from.
178 00:23:58.500 ⇒ 00:24:07.339 Demilade Agboola: Okay, that sounds good. Definitely keep it within the like on the radar. So we can have an idea of what’s going on.
179 00:24:08.784 ⇒ 00:24:16.050 Demilade Agboola: I have one question, though. To sign into bigquery. Do I need to use the Eden
180 00:24:16.240 ⇒ 00:24:19.689 Demilade Agboola: in Brain Forge, Google? It’s my name.
181 00:24:20.760 ⇒ 00:24:21.600 Uttam Kumaran: Yes.
182 00:24:21.600 ⇒ 00:24:25.250 Demilade Agboola: Because I’m okay, Gotcha, because I’m trying to just look at the
183 00:24:25.510 ⇒ 00:24:29.090 Demilade Agboola: the, the workbook, and I need the signing to go back.
184 00:24:29.090 ⇒ 00:24:32.440 Uttam Kumaran: Yeah, I would just use the eden@brainforge.ai email.
185 00:24:35.970 ⇒ 00:24:37.260 Demilade Agboola: Okay.
186 00:24:49.570 ⇒ 00:24:59.549 Uttam Kumaran: And then I’m gonna do my best while you’re working on things, to continue on the data platform documentation away. Do you have like?
187 00:25:00.010 ⇒ 00:25:06.970 Uttam Kumaran: I guess I know we have both you and a wish on this like, how can we all collaborate on stuff short term
188 00:25:08.210 ⇒ 00:25:10.370 Uttam Kumaran: like, would you? Rather.
189 00:25:11.320 ⇒ 00:25:20.610 Uttam Kumaran: I mean. I wish if you’re not working on anything immediately, then I would. I would love some help on finishing up this data platform documentation around sources and
190 00:25:20.760 ⇒ 00:25:22.000 Uttam Kumaran: things like that.
191 00:25:24.255 ⇒ 00:25:30.250 Awaish Kumar: Thanks for, like, like the one we discussed like in the Figma, we want, to have a
192 00:25:30.670 ⇒ 00:25:37.219 Awaish Kumar: documentation for for the new models like where the data is coming from? Or is it something else.
193 00:25:37.710 ⇒ 00:25:47.810 Uttam Kumaran: Yeah, even just like this, which just having like the data source and like like where it’s coming from.
194 00:25:50.010 ⇒ 00:25:53.160 Uttam Kumaran: would be helpful. Because I would have to work on this today.
195 00:25:56.870 ⇒ 00:26:03.889 Uttam Kumaran: but again, I think it may be helpful for you and demalade to to collaborate on any of the logic problems.
196 00:26:04.110 ⇒ 00:26:08.040 Uttam Kumaran: But again, I I sort of want to let you guys decide how to break things up.
197 00:26:08.300 ⇒ 00:26:11.650 Uttam Kumaran: and then we should have more Pm. Support. Come in later this week.
198 00:26:14.838 ⇒ 00:26:25.470 Awaish Kumar: Yeah, sure, if there’s any questions I’m available to answer. And I can work on like building a diagram where we show like, what kind of
199 00:26:25.660 ⇒ 00:26:32.439 Awaish Kumar: sources right now we are dealing with, and how we demo.
200 00:26:32.440 ⇒ 00:26:38.980 Uttam Kumaran: What’s what’s most helpful like? Do you guys want to meet and talk about logic? You want some more time, sort of go through things.
201 00:26:40.570 ⇒ 00:26:49.359 Demilade Agboola: And yes, I’m going through things now and then I can set up a call like I I don’t know what time you get off a wish.
202 00:26:52.780 ⇒ 00:26:56.751 Demilade Agboola: cause I was thinking like maybe I could set up a call with you, but I don’t know what time
203 00:26:56.950 ⇒ 00:27:03.109 Awaish Kumar: Yeah, I’m available, like, by, like, 2 Pm. Est, I will be available
204 00:27:03.793 ⇒ 00:27:07.869 Awaish Kumar: you can just like message me on slack. I will be available.
205 00:27:08.980 ⇒ 00:27:16.709 Demilade Agboola: Sounds good, so I’ll send you. I’ll send you a message if I like. Once I get up to speed, and I just have a couple of questions, so we can have a call.
206 00:27:17.816 ⇒ 00:27:18.589 Awaish Kumar: Yeah, sure.
207 00:27:19.670 ⇒ 00:27:20.330 Demilade Agboola: It’s good.
208 00:27:21.500 ⇒ 00:27:31.196 Uttam Kumaran: Okay, cool. Alright. So let’s plan on at least catching up in slack by the end of the day on how things are going. But if you guys just meet, just send messages.
209 00:27:32.340 ⇒ 00:27:33.269 Uttam Kumaran: and then, yeah.
210 00:27:35.120 ⇒ 00:27:40.349 Uttam Kumaran: Robert, anything else we want to be aware of here I’m gonna I’ll try to call ship out later. Today they keep
211 00:27:40.510 ⇒ 00:27:42.539 Uttam Kumaran: giving me the runaround, so
212 00:27:42.770 ⇒ 00:27:49.380 Uttam Kumaran: I’ll call him today and see if I can keep moving that forward. But just leave that leave that one to me like, I don’t want any of you guys working on that.
213 00:27:51.320 ⇒ 00:28:03.120 Robert Tseng: Yeah, I mean, the last piece is just the next panel segment thing that about I don’t know. I don’t really think that this group would touch it. It’s I mean, I I kind of record the video for Akash, and you can view it if you want. But
214 00:28:03.290 ⇒ 00:28:07.659 Robert Tseng: yeah, I think just getting a plan around. That would probably be the next step. There.
215 00:28:08.240 ⇒ 00:28:08.910 Uttam Kumaran: Okay.
216 00:28:13.830 ⇒ 00:28:19.689 Robert Tseng: Actually, if we have a Tom, I don’t know if you would be able to answer this tableau question, but I mean I just
217 00:28:19.910 ⇒ 00:28:26.879 Robert Tseng: I, are you supposed to like download from cloud every time? Make an update and then push it.
218 00:28:29.330 ⇒ 00:28:30.010 Robert Tseng: That’s.
219 00:28:30.840 ⇒ 00:28:32.760 Uttam Kumaran: Yeah, that’s pretty common.
220 00:28:33.660 ⇒ 00:28:35.049 Uttam Kumaran: Okay? Well, I didn’t.
221 00:28:35.050 ⇒ 00:28:40.250 Uttam Kumaran: You can do you, can you? Can. You can edit in cloud. But the editing experience.
222 00:28:40.570 ⇒ 00:28:48.499 Uttam Kumaran: I mean, last time I used to use it was not as good, so I would just have it. I would have it locally, make edits and then push the latest.
223 00:28:49.430 ⇒ 00:28:50.300 Robert Tseng: Okay.
224 00:28:51.520 ⇒ 00:28:58.017 Robert Tseng: yeah, I just like, have a couple of deployment hiccups here and there. But it’s fine. I’ll just that’s that’s good, I think.
225 00:28:59.722 ⇒ 00:29:03.110 Robert Tseng: I will do that. Moving forward. I’m not. Gonna yeah. Hopefully, that.
226 00:29:03.110 ⇒ 00:29:06.399 Uttam Kumaran: Yeah, it’ll be much faster. It’ll be much faster locally.
227 00:29:07.080 ⇒ 00:29:07.840 Robert Tseng: Okay.
228 00:29:08.170 ⇒ 00:29:11.250 Uttam Kumaran: And the other connection issues are good. Right? I I checked last night.
229 00:29:12.210 ⇒ 00:29:17.720 Robert Tseng: Yeah, they’re fine. Now. Yeah.
230 00:29:18.630 ⇒ 00:29:19.210 Uttam Kumaran: Okay.
231 00:29:23.120 ⇒ 00:29:26.079 Uttam Kumaran: Okay, cool. Alright, guys. We’ll chat in slack.
232 00:29:26.750 ⇒ 00:29:27.880 Robert Tseng: Alright! See you all.
233 00:29:28.470 ⇒ 00:29:29.160 Uttam Kumaran: Thank you.