Meeting Title: LMNT + CTA Weekly Kick-Off Sync Date: 2026-03-16 Meeting participants: Brylle Girang, Awaish Kumar, Robert Tseng, Uttam Kumaran, Amber Lin
WEBVTT
1 00:07:20.360 ⇒ 00:07:21.310 Uttam Kumaran: Hello.
2 00:07:23.590 ⇒ 00:07:24.280 Amber Lin: Hey.
3 00:07:25.090 ⇒ 00:07:25.670 Awaish Kumar: No.
4 00:07:25.670 ⇒ 00:07:26.510 Uttam Kumaran: Okay.
5 00:07:29.140 ⇒ 00:07:36.790 Uttam Kumaran: B, do you wanna… do we have everything in projects? We can just kind of outline goals for the week with this group, or what do you think is best?
6 00:07:41.560 ⇒ 00:07:42.090 Brylle Girang: Hmm.
7 00:07:44.640 ⇒ 00:07:46.130 Brylle Girang: Does this view work?
8 00:07:50.170 ⇒ 00:07:51.930 Uttam Kumaran: Yes.
9 00:07:53.140 ⇒ 00:07:53.720 Brylle Girang: Okay.
10 00:07:54.570 ⇒ 00:07:57.719 Uttam Kumaran: And, yeah, okay, okay, perfect.
11 00:07:58.030 ⇒ 00:08:06.140 Uttam Kumaran: So, let’s, can we start by… let’s talk about ingestion, modeling, and then let’s talk about reporting analytics.
12 00:08:06.270 ⇒ 00:08:13.170 Uttam Kumaran: So I think that’s… basically, for the whole crew, in terms of, like, managing this client, I think we’ve basically agreed on, like.
13 00:08:13.250 ⇒ 00:08:26.660 Uttam Kumaran: how I’m gonna try and explain to them what we’re doing at any moment is in those three categories. Eventually, we’re also gonna add observability and documentation, and then we’re gonna also add adoption. But I think
14 00:08:26.690 ⇒ 00:08:41.259 Uttam Kumaran: if we want to break down this client, like, that’s generally how it’s gonna work. So let me just talk about ingest, backfill, data infra, and dbt. So, on ingest and backfill, at any moment, we’re trying to, you know, ingest as much
15 00:08:41.280 ⇒ 00:08:51.050 Uttam Kumaran: data for this client as we can. So, right now, we’re waiting on Amazon. I mean, this has really been a test, I think, of our relationship with Polyatomic. So.
16 00:08:51.050 ⇒ 00:09:01.519 Uttam Kumaran: They know they’re kind of working overtime to just make sure that we can get data for this client. This client really cares that all their stuff has landed, and closing that out as fast as possible.
17 00:09:01.720 ⇒ 00:09:05.069 Uttam Kumaran: So we’re pushing, on that.
18 00:09:05.420 ⇒ 00:09:07.260 Uttam Kumaran: I think second…
19 00:09:07.790 ⇒ 00:09:21.629 Uttam Kumaran: Second piece is gonna be on the data infra side. So, really, the biggest piece that I want to highlight, B, is that our data platform documentation just needs to stay up-to-date, as much as possible. And so.
20 00:09:21.690 ⇒ 00:09:32.309 Uttam Kumaran: I want to make sure that we can utilize the skills to do that, but this is going to be a real test of, like, each week we just need to keep those docs in a really, really solid place.
21 00:09:32.570 ⇒ 00:09:48.669 Uttam Kumaran: Otherwise, I think Snowflake is running fine, I think DBT is running fine, so all eyes are gonna just shift towards Omni, and Greg, this next, like, 3 weeks. So, that’s… that’s really the biggest piece on the infra side.
22 00:09:48.690 ⇒ 00:10:04.489 Uttam Kumaran: modeling, I think a way if you’re doing a good job getting models out. I think as they start to get used, of course, we’ll have tweaks, but I think… I think continue course on what you’re doing, which is just getting the first versions of… of marts out for each thing, and we’ll kind of come back and adjust.
23 00:10:06.190 ⇒ 00:10:20.379 Uttam Kumaran: And then, yeah, I think so, I think overall, my goal for this client is to shift focus, away from, models and from ingestion, and really to reporting strategy and Omni.
24 00:10:20.530 ⇒ 00:10:24.150 Uttam Kumaran: So we, we finished… the…
25 00:10:24.340 ⇒ 00:10:31.659 Uttam Kumaran: the marts for… we finished the two, like, sort of Google Sheets dashboards for…
26 00:10:31.770 ⇒ 00:10:49.549 Uttam Kumaran: retail and for wholesale. I mean, I think, like, just to hit the nail on the head, I think the biggest concern is that, like, I just need, Robert, like, you and Amber to just have a really good understanding of what’s there today, and be able to field any question about it.
27 00:10:49.640 ⇒ 00:10:58.349 Uttam Kumaran: You know, from Shivani and team, and then we need to work on a… we need to work on roadmap for dashboards.
28 00:10:58.390 ⇒ 00:11:10.419 Uttam Kumaran: And further analysis that’s gonna get created. So, I think the Omni enablement work seems pretty scoped, but Greg is also gonna need requirements on, like, what dashboards to initially build.
29 00:11:10.590 ⇒ 00:11:15.490 Uttam Kumaran: So we can talk about that unless there’s anything in what I just mentioned before that’s relevant.
30 00:11:16.950 ⇒ 00:11:32.509 Robert Tseng: Yeah, actually, can we take a step back? I saw just, like, we’re keeping the same contract for the end of March, and then there is that one, like, I guess I’m curious, like, because… I mean, I just… I just kind of stepped out, because I was like, well, we’re just kind of in contract limbo, so…
31 00:11:32.980 ⇒ 00:11:33.539 Uttam Kumaran: Yeah, I mean…
32 00:11:34.080 ⇒ 00:11:42.530 Uttam Kumaran: we… because… yeah, because we didn’t sign anything, I… I told them, like, we’re just gonna… I’m just gonna put forth over just a one-month extension.
33 00:11:42.820 ⇒ 00:11:47.029 Uttam Kumaran: Yeah. So, yeah, I mean, right now, I think…
34 00:11:47.380 ⇒ 00:11:50.680 Uttam Kumaran: she’s in Montana, and they’re gonna get approval on the…
35 00:11:50.950 ⇒ 00:11:57.349 Uttam Kumaran: on option B, so I think that’ll get closed out this week, but I think we’ll… we’ll end up starting that scope
36 00:11:57.750 ⇒ 00:11:58.540 Uttam Kumaran: On Monday.
37 00:11:58.540 ⇒ 00:11:59.880 Robert Tseng: April. Oh, on Monday.
38 00:11:59.880 ⇒ 00:12:00.790 Uttam Kumaran: Yeah, yeah.
39 00:12:00.790 ⇒ 00:12:01.470 Robert Tseng: Okay, sure.
40 00:12:01.470 ⇒ 00:12:04.629 Uttam Kumaran: Sorry, whatever, yeah, pretty much end of March.
41 00:12:05.490 ⇒ 00:12:07.460 Uttam Kumaran: Okay. So start of April, yeah.
42 00:12:07.920 ⇒ 00:12:12.620 Robert Tseng: Yeah, then I’m here, I’m happy to do any of the planning stuff that we need to, kind of leading up to that.
43 00:12:14.210 ⇒ 00:12:21.500 Uttam Kumaran: So, I think, like, what I really need is, one, is a sense of, like, what dashboards we’re trying to build.
44 00:12:21.760 ⇒ 00:12:22.080 Robert Tseng: Yeah.
45 00:12:22.080 ⇒ 00:12:34.449 Uttam Kumaran: what needs to go into them, right? So that… the requirements for that. And then, again, I think the second piece is just gonna… so we need, like, I think the overall, we just need, like, a roadmap for… for…
46 00:12:34.740 ⇒ 00:12:40.510 Uttam Kumaran: reporting and analytics built on Omni, and then the second piece is just a general maintenance of what we’ve already shipped.
47 00:12:41.320 ⇒ 00:12:41.970 Brylle Girang: Okay.
48 00:12:42.740 ⇒ 00:12:50.789 Robert Tseng: Okay, I’m gonna block off some time for us to do that. I mean, obviously, I’m gonna go through the transcripts, but, and, you know, I still have some…
49 00:12:50.920 ⇒ 00:12:58.900 Robert Tseng: Understanding of, like, what reporting… what reporting deeds they have, but we just need to go and just, like, map out all the different reports,
50 00:12:59.680 ⇒ 00:13:00.640 Robert Tseng: So we should probably block.
51 00:13:00.640 ⇒ 00:13:10.749 Uttam Kumaran: Can you open the data platform documentation sheet? We’ve added some… a list of questions for this, like, Omni pilot that we want to try to answer.
52 00:13:11.360 ⇒ 00:13:14.929 Uttam Kumaran: I think, Robert, it’ll be good to get your feedback on that directly.
53 00:13:15.350 ⇒ 00:13:15.970 Robert Tseng: Yeah.
54 00:13:17.440 ⇒ 00:13:21.669 Uttam Kumaran: If you look on the bottom left, there’s something… yeah. So, Shivani wrote some of these.
55 00:13:22.470 ⇒ 00:13:23.110 Robert Tseng: Great.
56 00:13:24.600 ⇒ 00:13:25.510 Uttam Kumaran: So, I…
57 00:13:25.510 ⇒ 00:13:26.050 Robert Tseng: Yeah, yeah.
58 00:13:26.340 ⇒ 00:13:31.479 Uttam Kumaran: I think, yeah, basically, overall, for me, what would be so helpful is, like, if between…
59 00:13:31.620 ⇒ 00:13:35.460 Uttam Kumaran: you and Greg, y’all can just own…
60 00:13:35.630 ⇒ 00:13:42.110 Uttam Kumaran: Omni and reporting, and I can continue to just do, like, Shivani management, And then…
61 00:13:42.110 ⇒ 00:13:42.750 Robert Tseng: Yeah.
62 00:13:43.000 ⇒ 00:13:49.730 Uttam Kumaran: Awash kind of owns data infra, data modeling, that would be, like, a… Sick tag team of…
63 00:13:49.730 ⇒ 00:13:50.060 Robert Tseng: Yeah.
64 00:13:50.060 ⇒ 00:13:55.239 Uttam Kumaran: Of this for at least the rest of the month. But I think it’s gonna require you to just be able to
65 00:13:55.600 ⇒ 00:14:01.549 Uttam Kumaran: Have a deep understanding of this client, so that you can answer the questions on the fly, because they’re going to come on the fly.
66 00:14:02.930 ⇒ 00:14:17.350 Robert Tseng: would Wednesday be too late? Like, I want to grab a call for me, Amber, Bryle, and Greg on Wednesday. I’ll be… obviously, I’ve got to look into stuff before then, but that’s kind of when I want to finalize, like, what these… or at least kind of take a first pass at what all these reports will be.
67 00:14:17.510 ⇒ 00:14:22.249 Uttam Kumaran: Yeah, I mean, the only piece I would say is she’s in Montana right now, pitching us.
68 00:14:22.480 ⇒ 00:14:29.570 Uttam Kumaran: Yeah. So… I’m… I’m just trying to make sure that she has any ammo she needs.
69 00:14:30.670 ⇒ 00:14:31.860 Uttam Kumaran: Yeah. So…
70 00:14:32.710 ⇒ 00:14:48.850 Uttam Kumaran: Yeah, I mean, I think… I think Wednesday’s fine, but, like, I’m gonna… I’m basically putting together, like, a bunch of things, like, for example, if she’s gonna talk to them about Omni, then I want her to have a really clear perspective on, like, what questions are gonna get answered. So even if you can do any thinking, like.
71 00:14:49.270 ⇒ 00:14:50.489 Uttam Kumaran: Today or tomorrow?
72 00:14:50.490 ⇒ 00:14:51.030 Robert Tseng: Also, everything.
73 00:14:51.400 ⇒ 00:14:55.260 Robert Tseng: Get out of today, and then I’ll get the team aligned on it by Wednesday. Okay.
74 00:14:55.260 ⇒ 00:15:07.299 Uttam Kumaran: That would be great, because that way, like, I just don’t want her to be in the room and have any question about, like, what it is we’re shipping, and… and I want her to have as much, like, yeah, basically ammo to pitch, so…
75 00:15:10.140 ⇒ 00:15:22.199 Uttam Kumaran: That would be great. And so, yeah, I mean, again, it would be… like, I’m… I feel totally comfortable handling anything in modeling and ingestion, and then handling, sort of, just stakeholder management. If I can really loop
76 00:15:22.780 ⇒ 00:15:36.320 Uttam Kumaran: Greg and Ewan to just, like, own sort of reporting and modeling. The prob… the thing is, just don’t get… like, it’s just gonna take some time to get your head around everything on the client, so… I just want to make sure that you guys have enough time to do that.
77 00:15:37.050 ⇒ 00:15:37.660 Robert Tseng: Yeah.
78 00:15:38.600 ⇒ 00:15:40.289 Uttam Kumaran: Because that’s gonna come back to me otherwise.
79 00:15:40.290 ⇒ 00:15:40.780 Robert Tseng: up.
80 00:15:41.150 ⇒ 00:15:42.270 Robert Tseng: Today, yeah.
81 00:15:43.400 ⇒ 00:15:48.450 Uttam Kumaran: And ideally, again, it’s not only… I think I want to move this client from
82 00:15:48.730 ⇒ 00:16:08.049 Uttam Kumaran: asking us, and us being reactive, to us pushing, right? To being like, hey, all, like, all the documentation’s in place, models are going, whatever, and here’s what we want to do next. Like, I think a really great outcome here on this one, Robert, too, is for you to get a sense of, like, what Omni is able to do on the AI side.
83 00:16:08.210 ⇒ 00:16:25.730 Uttam Kumaran: There’s no other team at Element who has talked about AI adoption, except our team, and except this team. And so, it’ll be a big win if, alongside all the work we’re doing, we make sure that Omni can answer those, and you’re stress testing that.
84 00:16:26.040 ⇒ 00:16:26.990 Robert Tseng: Yeah.
85 00:16:27.460 ⇒ 00:16:34.259 Uttam Kumaran: That’ll be super, super… that’ll be… that’ll be… that’s, like, a proactive win, apart from just doing our usual, you know?
86 00:16:36.480 ⇒ 00:16:37.110 Robert Tseng: Okay.
87 00:16:37.960 ⇒ 00:16:43.150 Uttam Kumaran: And I think there’s gonna be parallels on Eden, you know, in terms of, like.
88 00:16:43.300 ⇒ 00:16:47.639 Uttam Kumaran: okay, how do we… how are we actually starting? I think, you know, I think a lot back to…
89 00:16:47.840 ⇒ 00:16:52.709 Uttam Kumaran: some of the ways we did even planning last year, and I want the kind of, like.
90 00:16:52.890 ⇒ 00:17:05.270 Uttam Kumaran: strategy team to feel like, okay, they could actually drive the narrative on, like, how their business, how we want to affect their business. I think Jasmine coming on is going to be helpful here as well, so you can look forward to that in the next, like, 3 weeks, so…
91 00:17:05.790 ⇒ 00:17:08.530 Uttam Kumaran: Yeah.
92 00:17:15.920 ⇒ 00:17:24.759 Uttam Kumaran: I mean, that’s the… that’s the net of it for me, like, do we want to discuss anything else? How can I be helpful? How can I give more clarity on anything for Element?
93 00:17:26.920 ⇒ 00:17:31.560 Robert Tseng: I feel like I just need to go and dig into that… those, those, into that sheet, but…
94 00:17:31.560 ⇒ 00:17:50.240 Amber Lin: Cool. I have some updates and questions. So, one, I added a new version of the data documentation. Brow, I can give you the workflow I use to grab new metrics from our dbt model, and then
95 00:17:50.240 ⇒ 00:18:02.850 Amber Lin: map that to what we have currently. So, would love some review on that. I think it’ll make our Omni update, or creating Omni dashboards easier, and also.
96 00:18:03.140 ⇒ 00:18:09.849 Amber Lin: I know, Robert, you wanted that to be updated, so it’s in Slack, I sent a message about that.
97 00:18:09.970 ⇒ 00:18:10.770 Amber Lin: And…
98 00:18:10.770 ⇒ 00:18:14.319 Uttam Kumaran: Yeah, Bryl, you can, you can, you can own that, and you can let me know.
99 00:18:14.480 ⇒ 00:18:22.350 Uttam Kumaran: Yeah. Yeah. You also have a process, so yeah, we whatever in, but, I’m considering you kind of owning the data platform.
100 00:18:22.460 ⇒ 00:18:24.359 Uttam Kumaran: Documentation, update stuff.
101 00:18:25.190 ⇒ 00:18:25.880 Brylle Girang: Okay.
102 00:18:25.880 ⇒ 00:18:41.619 Amber Lin: Awesome. Awesome. And then, second point, also on Omni, I know Mustafa was working with Greg to set it up. I do think as we move forward, I would like to get looped in, or at least… I saw his video on how he did that, but…
103 00:18:41.670 ⇒ 00:18:50.120 Amber Lin: Probably want to sync with him or whoever will be building the dashboards to see how he can help.
104 00:18:50.260 ⇒ 00:18:51.220 Amber Lin: And…
105 00:18:51.220 ⇒ 00:18:52.020 Uttam Kumaran: Yeah, it’s not…
106 00:18:52.020 ⇒ 00:18:53.530 Amber Lin: Transfer old ones over.
107 00:18:53.530 ⇒ 00:19:02.410 Uttam Kumaran: super clear yet, like, who’s gonna do the execution, but I would love for us to get started today. Like, it’s kind of a bummer that he’s out today, so…
108 00:19:02.730 ⇒ 00:19:07.220 Uttam Kumaran: like, we… everything’s in place to kind of start building, so…
109 00:19:07.220 ⇒ 00:19:07.740 Amber Lin: Yeah.
110 00:19:07.740 ⇒ 00:19:08.260 Uttam Kumaran: I think.
111 00:19:08.260 ⇒ 00:19:08.750 Amber Lin: I mean…
112 00:19:08.750 ⇒ 00:19:09.830 Uttam Kumaran: Maybe… yeah.
113 00:19:09.830 ⇒ 00:19:15.459 Amber Lin: Siobhani got back to us on a doc that Greg wanted, but…
114 00:19:15.460 ⇒ 00:19:20.650 Uttam Kumaran: There’s no, like, this is the thing, like, Greg is… Greg is asking too many questions. We know exactly.
115 00:19:20.650 ⇒ 00:19:21.240 Amber Lin: And what they need.
116 00:19:21.690 ⇒ 00:19:26.370 Uttam Kumaran: Yeah, like, we don’t need to ask them anymore about, like, what they want, like, it’s up to us.
117 00:19:26.370 ⇒ 00:19:31.960 Amber Lin: Yeah, we can directly start with the reports we have already, wholesale, retail.
118 00:19:31.960 ⇒ 00:19:35.529 Uttam Kumaran: I saw the appendix of the accelerator doc? I wrote out…
119 00:19:35.530 ⇒ 00:19:36.270 Amber Lin: Let me check.
120 00:19:36.270 ⇒ 00:19:37.499 Uttam Kumaran: Things that we want to answer.
121 00:19:37.880 ⇒ 00:19:38.960 Amber Lin: So…
122 00:19:38.960 ⇒ 00:19:41.280 Uttam Kumaran: I feel like it’s pretty clear
123 00:19:42.140 ⇒ 00:19:53.680 Uttam Kumaran: like, I think the perspective on, like, what… it’s all… we’ve, like, beaten the dead horse on, like, all the things we want to answer. I think Greg has to come in and just drive towards topic development.
124 00:19:55.160 ⇒ 00:20:01.449 Uttam Kumaran: And I don’t know if that’s… if that’s going to be, like, Mustafa or not, like, that’s up to him to decide, like, how.
125 00:20:01.700 ⇒ 00:20:15.159 Uttam Kumaran: I… this… like, I don’t see why we can’t do it with our, like, existing, like, team. I don’t know if we really necessarily have to loop in others, it’s… like, he can do a lot of it, or… or he can at least write the tickets and use AI to do a lot of it at this point.
126 00:20:16.540 ⇒ 00:20:22.140 Amber Lin: Yeah, cool. Yeah, so I wrote these…
127 00:20:22.140 ⇒ 00:20:22.780 Uttam Kumaran: Because…
128 00:20:22.780 ⇒ 00:20:24.429 Amber Lin: And, is it?
129 00:20:24.430 ⇒ 00:20:24.750 Uttam Kumaran: Sorry.
130 00:20:24.750 ⇒ 00:20:27.929 Amber Lin: Renewal? I’m trying to find a doc you’re talking about.
131 00:20:28.350 ⇒ 00:20:29.469 Uttam Kumaran: We’re looking at it.
132 00:20:32.540 ⇒ 00:20:34.339 Uttam Kumaran: Like, Bryl’s sharing it right now.
133 00:20:34.720 ⇒ 00:20:35.980 Amber Lin: Cool, okay.
134 00:20:47.440 ⇒ 00:20:54.079 Uttam Kumaran: So, again, like, but I… I took a first pass, like, this is where, and I’m just gonna keep saying it, like, I think…
135 00:20:54.370 ⇒ 00:20:59.919 Uttam Kumaran: between you and Robert to have a perspective, and then to give that to Greg to execute.
136 00:21:00.960 ⇒ 00:21:02.640 Uttam Kumaran: That’s gonna be the team.
137 00:21:02.830 ⇒ 00:21:16.400 Uttam Kumaran: So, you guys having just a really clear perspective on what it is we want to enable the Element team to do, like… but I’m just gonna keep reminding that, like, don’t… like, if you ask… if you… if you ask the client, like.
138 00:21:16.590 ⇒ 00:21:33.830 Uttam Kumaran: I’m gonna say don’t ask the client. We have so much stuff we’ve already discussed, I think it should take 5 seconds to sort of, like, get an understanding. And then, really, the goal is to, like, okay, beyond just the basics, how do we start to create a 2- or 3-month roadmap for reporting and analytics on elements? So that’s, like, the real win.
139 00:21:33.940 ⇒ 00:21:46.720 Uttam Kumaran: the real win here. And then I’m gonna press… I’ll press Greg on the execution of Omni. Like, I would say we’re already kind of a little behind, so, like, we really need to see a lot of stuff, like, come out this week.
140 00:21:49.430 ⇒ 00:21:51.460 Amber Lin: Cool. Yeah,
141 00:21:51.780 ⇒ 00:22:00.429 Amber Lin: topic 1 through 3, like, we’ve already had dashboards for, I don’t… I don’t see any blockers in making that into Omni.
142 00:22:00.620 ⇒ 00:22:03.840 Amber Lin: We have all the models we need so far.
143 00:22:05.090 ⇒ 00:22:10.150 Amber Lin: So, like, I mean, I can meet with Mustafa to see how he did it and kick it off.
144 00:22:10.670 ⇒ 00:22:13.810 Amber Lin: I don’t… I don’t see a significant blocker there.
145 00:22:14.440 ⇒ 00:22:17.570 Uttam Kumaran: Yeah, I mean, if you can… if… yeah, maybe I… maybe I’ll let…
146 00:22:18.450 ⇒ 00:22:24.359 Uttam Kumaran: Yeah, I mean, if you want to coordinate with Robert, I’ll let you guys decide however to do it, but yeah, we can start building, that’d be great.
147 00:22:24.460 ⇒ 00:22:30.639 Uttam Kumaran: I think, B, you also have… we should have enough, to start creating tickets as well. I already created…
148 00:22:30.970 ⇒ 00:22:34.150 Uttam Kumaran: sort of already, like, an omni-project default
149 00:22:34.880 ⇒ 00:22:37.279 Uttam Kumaran: Epic, so you can pull from that, but…
150 00:22:37.480 ⇒ 00:22:44.010 Uttam Kumaran: Maybe if you want… you and Robert want to meet, and sort of… It’s created…
151 00:22:44.910 ⇒ 00:22:49.110 Uttam Kumaran: And then, like, start driving towards, like, like, dashboards.
152 00:22:49.340 ⇒ 00:22:53.999 Uttam Kumaran: Pop it to the first part, so that you don’t even really need to have an understanding of the dashboards to do that.
153 00:23:00.720 ⇒ 00:23:08.409 Amber Lin: Hmm, let’s see… I’m open… free to meet today if Robert has time.
154 00:23:11.350 ⇒ 00:23:20.989 Robert Tseng: Yeah, I put an hour block on my calendar for Element stuff, so, I mean, I may pull you into that, but I don’t know, I may just need the time for myself to look at it.
155 00:23:20.990 ⇒ 00:23:30.049 Uttam Kumaran: Okay, then I’ll follow his lead. I think, Amber, if anything, if you can work with B today, and yeah, like, if we can drive towards just getting topics set up.
156 00:23:30.240 ⇒ 00:23:34.399 Uttam Kumaran: None of that is, like… it’s just getting those set up for the…
157 00:23:34.650 ⇒ 00:23:40.030 Uttam Kumaran: For, like, you don’t need to really know the dashboard requirements to do that, so… .
158 00:23:40.030 ⇒ 00:23:40.530 Amber Lin: Yeah.
159 00:23:40.530 ⇒ 00:23:41.170 Uttam Kumaran: Okay.
160 00:23:41.170 ⇒ 00:23:42.470 Amber Lin: Cool. Alright.
161 00:23:43.470 ⇒ 00:23:44.730 Uttam Kumaran: Anything else?
162 00:23:50.270 ⇒ 00:23:58.630 Uttam Kumaran: So maybe I just… if I could steal 2 seconds, I think, Robert, default needs, like, a very similar sort of exercise.
163 00:23:59.010 ⇒ 00:24:02.140 Uttam Kumaran: So… and… but, like, this is where I don’t think…
164 00:24:02.410 ⇒ 00:24:07.389 Uttam Kumaran: you need to, like, know the… that business very well, but more of what I’m saying is, like.
165 00:24:07.790 ⇒ 00:24:12.739 Uttam Kumaran: And we’re in a very similar spot there, where we need to drive the conversation.
166 00:24:13.090 ⇒ 00:24:17.230 Uttam Kumaran: In terms of, like, what dashboards we’re building, I think Greg can own that.
167 00:24:17.350 ⇒ 00:24:22.079 Uttam Kumaran: And actually build that, and the client’s actually… the data’s super, super easy, but…
168 00:24:22.420 ⇒ 00:24:28.199 Uttam Kumaran: I’m just kind of pattern matching, like, that this… this is, like, I feel like this is something across…
169 00:24:28.680 ⇒ 00:24:34.059 Uttam Kumaran: Both of these clients that, like, we just really need, which is an opinion from the strategy team on, like, what to build.
170 00:24:34.570 ⇒ 00:24:40.149 Uttam Kumaran: So… Yeah, I don’t know, just… Just was thinking about that.
171 00:24:41.560 ⇒ 00:24:44.890 Robert Tseng: Okay, I’ll maybe do that later in the week.
172 00:24:45.510 ⇒ 00:24:55.939 Uttam Kumaran: Yeah, yeah, yeah. And again, I think Greg can own the actual development of that, but what’s happening is on clients where modeling and infra is the star.
173 00:24:56.120 ⇒ 00:24:59.770 Uttam Kumaran: we’re… we’re dying, like, so I just want to move from that.
174 00:24:59.950 ⇒ 00:25:00.780 Uttam Kumaran: you know.
175 00:25:01.690 ⇒ 00:25:02.390 Uttam Kumaran: So…
176 00:25:03.180 ⇒ 00:25:03.670 Robert Tseng: Okay.
177 00:25:08.510 ⇒ 00:25:09.900 Uttam Kumaran: Okay, cool.
178 00:25:10.110 ⇒ 00:25:12.270 Uttam Kumaran: That’s all I had.
179 00:25:15.460 ⇒ 00:25:22.770 Uttam Kumaran: Anything else? And yeah, I guess throughout this whole process, think about, like, skills or automations that we can build, if there’s anything helpful, so…
180 00:25:23.120 ⇒ 00:25:27.320 Uttam Kumaran: We’re gonna kind of moved to doing some… building some stuff for the data team next.
181 00:25:28.170 ⇒ 00:25:28.810 Amber Lin: Cool.
182 00:25:29.490 ⇒ 00:25:31.680 Amber Lin: Can me and B stay on?
183 00:25:32.190 ⇒ 00:25:32.900 Uttam Kumaran: Sure.
184 00:25:33.160 ⇒ 00:25:36.010 Amber Lin: Yeah, feel free to hop, others. Okay.
185 00:25:37.820 ⇒ 00:25:38.210 Uttam Kumaran: Yes.
186 00:25:38.210 ⇒ 00:25:39.610 Amber Lin: Thanks.
187 00:25:39.610 ⇒ 00:25:40.090 Brylle Girang: Okay.
188 00:25:40.090 ⇒ 00:25:40.640 Uttam Kumaran: Bye.
189 00:25:41.840 ⇒ 00:25:49.009 Amber Lin: I saw… I saw your calendar was awfully full, so I… Hi, so I just wanted to talk now, because I know you don’t have time.
190 00:25:50.830 ⇒ 00:25:52.000 Brylle Girang: No worries, yeah.
191 00:25:52.390 ⇒ 00:25:56.499 Amber Lin: Yeah, when Utam says, set up a topic, do you know what he means?
192 00:25:57.770 ⇒ 00:26:00.089 Brylle Girang: Actually, no. I think…
193 00:26:00.090 ⇒ 00:26:00.610 Amber Lin: Okay.
194 00:26:00.610 ⇒ 00:26:01.700 Brylle Girang: suffers.
195 00:26:02.000 ⇒ 00:26:08.870 Amber Lin: Okay, so let me… let me talk to Mustafa. You don’t have time, so let me go talk to him.
196 00:26:09.500 ⇒ 00:26:11.359 Amber Lin: So, let me try and see…
197 00:26:11.360 ⇒ 00:26:14.829 Brylle Girang: Okay, I assume that you already know what that happened.
198 00:26:15.170 ⇒ 00:26:16.040 Brylle Girang: so I didn’t ask…
199 00:26:16.040 ⇒ 00:26:16.590 Amber Lin: I kind of…
200 00:26:16.980 ⇒ 00:26:25.470 Amber Lin: I kind of know, but I don’t know how they set up. Like, I only did it once for internal reporting, so I’m gonna say…
201 00:26:25.790 ⇒ 00:26:34.660 Amber Lin: on me… Topic set up. So, I’m gonna meet with him, get to know what is needed.
202 00:26:35.060 ⇒ 00:26:42.590 Amber Lin: And then… like, how we design topics, because right now, I know what topics are, but…
203 00:26:42.750 ⇒ 00:26:58.289 Amber Lin: I don’t know the best way to categorize them or build them, because we have, you know, retail and wholesale and, like, revenue, blah blah blah, so I don’t know how we will design the topics. So let me meet with Mustafa, I’ll come up with a plan, and then…
204 00:26:59.600 ⇒ 00:27:13.519 Amber Lin: let’s see, because I know he used AI, so I’ll take that process, and we can see what we can build, but probably since you also have no clue, I’ll take a first pass and see what we can get started.
205 00:27:14.180 ⇒ 00:27:22.719 Brylle Girang: Okay, yeah, sure. I’m also checking with Cursor if it knows anything. Uta mentioned that there’s already, like, a playbook, or an epic.
206 00:27:22.720 ⇒ 00:27:23.150 Amber Lin: Hmm.
207 00:27:23.150 ⇒ 00:27:23.799 Brylle Girang: for Omni.
208 00:27:23.800 ⇒ 00:27:25.230 Amber Lin: So I’ll go to…
209 00:27:25.230 ⇒ 00:27:26.879 Brylle Girang: I’ll share it with you if I see it, okay?
210 00:27:26.880 ⇒ 00:27:28.870 Amber Lin: Cool, yeah, that would be great.
211 00:27:29.260 ⇒ 00:27:33.990 Amber Lin: Alrighty, that’s… that’s all. Thank you.
212 00:27:36.030 ⇒ 00:27:37.090 Amber Lin: Right, right.
213 00:27:37.630 ⇒ 00:27:39.519 Brylle Girang: Thank you, Amber.
214 00:27:39.950 ⇒ 00:27:41.340 Brylle Girang: Otherwise…