Meeting Title: Data Team Planning Session Date: 2025-02-05 Meeting participants: Luke Daque, Uttam Kumaran, Payas Parab, Robert Tseng, Sahana Asokan, Awaish Kumar
WEBVTT
1 00:05:52.000 ⇒ 00:05:53.069 Luke Daque: I wish.
2 00:05:56.290 ⇒ 00:05:57.140 Awaish Kumar: Hello!
3 00:05:58.720 ⇒ 00:05:59.597 Luke Daque: Oh, so everything!
4 00:06:01.340 ⇒ 00:06:02.100 Awaish Kumar: Sorry.
5 00:06:02.960 ⇒ 00:06:04.520 Luke Daque: How’s everything on your end?
6 00:06:05.260 ⇒ 00:06:07.300 Awaish Kumar: Yeah, all is good. How about you?
7 00:06:07.300 ⇒ 00:06:09.920 Luke Daque: Nice we are doing well as well.
8 00:07:13.010 ⇒ 00:07:17.919 Luke Daque: I don’t think Nico would be able to join today, cause I think he’s flying.
9 00:07:18.330 ⇒ 00:07:21.920 Luke Daque: But yeah, I don’t know. Bias, is there
10 00:07:22.630 ⇒ 00:07:26.500 Luke Daque: not? Sure if Utah will be joining, we can. We can message him.
11 00:07:30.875 ⇒ 00:07:31.420 Payas Parab: Boys!
12 00:07:32.050 ⇒ 00:07:33.449 Luke Daque: Hi, bass! How’s it going.
13 00:07:36.740 ⇒ 00:07:38.379 Payas Parab: Oh, wait! I don’t know my sound on.
14 00:07:39.100 ⇒ 00:07:40.890 Payas Parab: How are you, my man? Ryan?
15 00:07:41.050 ⇒ 00:07:41.690 Payas Parab: Ryan?
16 00:07:41.690 ⇒ 00:07:42.630 Luke Daque: Doing well.
17 00:07:42.810 ⇒ 00:07:45.040 Payas Parab: Still confuses me. But here we are.
18 00:07:47.380 ⇒ 00:07:50.269 Payas Parab: Awesome. And, Amesh, it’s really nice to meet you, man.
19 00:07:50.460 ⇒ 00:07:52.389 Payas Parab: Am I pronouncing that right? By the way.
20 00:07:53.970 ⇒ 00:07:54.820 Awaish Kumar: Sorry.
21 00:07:55.230 ⇒ 00:07:57.609 Payas Parab: How do I pronounce your name? I just wanna make sure I get it right.
22 00:07:57.880 ⇒ 00:07:59.679 Awaish Kumar: Yeah, it’s okay. Harish.
23 00:08:00.370 ⇒ 00:08:01.289 Payas Parab: Okay, awesome.
24 00:08:01.800 ⇒ 00:08:02.180 Payas Parab: It’s great.
25 00:08:02.180 ⇒ 00:08:03.290 Awaish Kumar: All the phones.
26 00:08:04.850 ⇒ 00:08:05.250 Payas Parab: What’s up?
27 00:08:05.250 ⇒ 00:08:11.629 Awaish Kumar: I have heard different pronunciation, but they all point to the same person.
28 00:08:11.630 ⇒ 00:08:12.870 Payas Parab: Sure. Sure.
29 00:08:13.940 ⇒ 00:08:15.459 Payas Parab: Where are you based? Avish.
30 00:08:16.320 ⇒ 00:08:20.110 Awaish Kumar: I was in Canada, but now I have moved to Pakistan.
31 00:08:20.600 ⇒ 00:08:22.150 Payas Parab: To Pakistan. Okay, got it?
32 00:08:28.160 ⇒ 00:08:31.643 Luke Daque: How’s your day passed? I think you’ve been like pretty busy.
33 00:08:32.940 ⇒ 00:08:34.100 Payas Parab: I don’t like.
34 00:08:34.500 ⇒ 00:08:44.930 Payas Parab: Yeah, I got kind of torched by that like Justin. I don’t know if you saw like, Justin randomly decided yesterday, like, I want to know everything about everything. And he was replying so fast that I was like.
35 00:08:45.090 ⇒ 00:08:57.120 Payas Parab: well, he’s like the most important person at the client. So we gotta like, you know, jump in there. And I basically like, had my entire day torch trying to answer his like his stuff. But it was great. It’s great that he’s
36 00:08:57.400 ⇒ 00:09:02.260 Payas Parab: he’s engaged. Cause, you know, the client dynamics are so challenging with, like
37 00:09:02.400 ⇒ 00:09:13.439 Payas Parab: their Cfo always asking like, What did you guys get done. And then, like, I’m on trying to like, keep the data stuff moving. And then the CEO basically like has ignored us the last few weeks. But the CEO is like.
38 00:09:14.030 ⇒ 00:09:28.150 Payas Parab: I think, I think, some of the data science work. And then some of the dashboarding work, like, I think he’s starting to see the value right like. Now that all that shopify pipeline is built really nicely, that data actually looks right, which is really exciting, like his feedback was all like, let’s flip
39 00:09:28.660 ⇒ 00:09:36.259 Payas Parab: the way we look like it’s like, it’s like, it’s like a just change what we’re showing. Not that like this looks wrong, which is like a really nice place to be.
40 00:09:36.470 ⇒ 00:09:37.350 Luke Daque: Yeah, yeah.
41 00:09:37.640 ⇒ 00:09:49.219 Payas Parab: I also love that he like is calling out the fucking Cfo because I, fucking hate that guy so I love that he’s like he’s jumping in and basically like doing all the work and then asking the Cfo like, Hey.
42 00:09:49.350 ⇒ 00:09:51.479 Payas Parab: see? Do you have any additional help?
43 00:09:51.780 ⇒ 00:09:54.980 Payas Parab: Sorry, Tom, we’re just. We’re just talking. Javi, your favorite.
44 00:09:56.370 ⇒ 00:10:05.250 Uttam Kumaran: The the Eden stuff with Eden is horrible right now, like those guys are really rough.
45 00:10:06.660 ⇒ 00:10:09.599 Payas Parab: Way are they just like super demanding? Or they just like.
46 00:10:10.170 ⇒ 00:10:12.619 Uttam Kumaran: The data is really really bad.
47 00:10:14.450 ⇒ 00:10:19.330 Uttam Kumaran: and they just have a lot of different like product variants like they.
48 00:10:19.450 ⇒ 00:10:26.190 Uttam Kumaran: they sell bundles, they sell memberships on single orders. Single orders can have multiple products in them. You can buy those on prescript, on subscription.
49 00:10:28.260 ⇒ 00:10:31.599 Uttam Kumaran: Different orders have different statuses because they ship you the drugs
50 00:10:31.930 ⇒ 00:10:37.580 Uttam Kumaran: and they. And there’s like all this embedded logic in like these like thousands and thousands of line of sequel.
51 00:10:38.050 ⇒ 00:10:45.359 Uttam Kumaran: And and I’m like running this company. And so I’m like, it’s, it’s also that’s that’s rough.
52 00:10:45.720 ⇒ 00:10:54.874 Uttam Kumaran: And yeah. So I’m like, and yeah, it doesn’t help that. The the guys at the company are incredibly disrespectful.
53 00:10:55.870 ⇒ 00:11:00.509 Payas Parab: Like like J. Money, J. Money, disrespectful, or like worse.
54 00:11:01.910 ⇒ 00:11:05.229 Uttam Kumaran: Like worse. I don’t know. I don’t. I don’t interact with jay money that much.
55 00:11:05.440 ⇒ 00:11:05.775 Uttam Kumaran: But
56 00:11:06.110 ⇒ 00:11:06.640 Payas Parab: Just like.
57 00:11:06.640 ⇒ 00:11:07.170 Uttam Kumaran: Like.
58 00:11:07.560 ⇒ 00:11:14.036 Uttam Kumaran: it’s tough. So we’re we’re going through it there. But yeah, let’s talk about stuff for for this week.
59 00:11:14.570 ⇒ 00:11:23.840 Uttam Kumaran: I think maybe, like, like, I just want to start with talking about Javi. So I know. Wish I we’ve been kind of texting in here or in the slack channel.
60 00:11:24.296 ⇒ 00:11:29.360 Uttam Kumaran: I tried to push this like quick Pr for Amazon orders, but it needs some work.
61 00:11:29.740 ⇒ 00:11:34.465 Uttam Kumaran: maybe. Can you? You want to just take that on and like it, you can check in the in the actual.
62 00:11:34.950 ⇒ 00:11:36.214 Uttam Kumaran: you are what the
63 00:11:38.700 ⇒ 00:11:44.389 Uttam Kumaran: the Beijing, the Icd issue is. I think there’s just a column missing, or something.
64 00:11:45.960 ⇒ 00:11:48.890 Awaish Kumar: Okay, I I didn’t saw like.
65 00:11:49.070 ⇒ 00:11:50.349 Awaish Kumar: And he said.
66 00:11:51.350 ⇒ 00:11:52.800 Uttam Kumaran: I just tagged you in there.
67 00:11:53.490 ⇒ 00:11:57.880 Uttam Kumaran: I thought it was gonna be a 1 line change. And then it looks like there’s some columns missing. So.
68 00:11:57.880 ⇒ 00:11:59.330 Awaish Kumar: Okay. Okay.
69 00:12:01.020 ⇒ 00:12:07.519 Uttam Kumaran: Cool if you want to take that. And then yeah, I I think just mainly like getting
70 00:12:08.100 ⇒ 00:12:13.659 Uttam Kumaran: Jacob is plugging in in and out on Amazon dash
71 00:12:13.950 ⇒ 00:12:19.290 Uttam Kumaran: so as much as you can support him. There would be very, very helpful.
72 00:12:21.120 ⇒ 00:12:24.850 Uttam Kumaran: And then I’m gonna throw a couple of other things your way on.
73 00:12:25.694 ⇒ 00:12:26.419 Uttam Kumaran: Eden
74 00:12:26.710 ⇒ 00:12:32.750 Uttam Kumaran: like, how are you available over the next like in the next hour or 2, like, What’s your what’s your sort of timing today?
75 00:12:35.096 ⇒ 00:12:37.779 Awaish Kumar: Yeah, I will be working
76 00:12:38.070 ⇒ 00:12:48.619 Awaish Kumar: like, it’s it’s night here. So I’ve been working in the night where we are in the last in the next one, or we’ll be missing for next one, maybe one and a half hour to have a dinner on, and
77 00:12:49.020 ⇒ 00:12:53.710 Awaish Kumar: and some of the things. But yeah, after that I will be work. I will work on it.
78 00:12:54.690 ⇒ 00:13:00.600 Uttam Kumaran: Okay, I have just like one interview later today. So I’ll be sort of on development work for
79 00:13:00.850 ⇒ 00:13:04.249 Uttam Kumaran: Javi and Eden the rest of the day, so
80 00:13:04.390 ⇒ 00:13:08.180 Uttam Kumaran: I will. Maybe you’ll just piss ping me when you’re back.
81 00:13:08.550 ⇒ 00:13:12.790 Uttam Kumaran: and we can hop on because I can try to transition a couple of things to you.
82 00:13:14.720 ⇒ 00:13:20.710 Uttam Kumaran: Anything else on like Javi. We’re like waiting to get to them. I know we have. We like there’s a they have a bunch of stuff sort of
83 00:13:21.750 ⇒ 00:13:23.010 Uttam Kumaran: under review.
84 00:13:23.530 ⇒ 00:13:29.630 Payas Parab: Yeah, can I? Can I jump in on there for the Amazon stuff? The one thing is just to let you guys know, like
85 00:13:29.760 ⇒ 00:13:46.839 Payas Parab: client is like aligned that, like the Amazon, is still a work in progress. So that final dashboard, we need some stuff from Jonathan who’s their coo. So like we do have like a week or 2 there, so we can just keep it moving. There were 2 things that Justin flagged that
86 00:13:46.930 ⇒ 00:14:01.069 Payas Parab: we need to make sure we pull into like the final table. Just wanted to like raise that. I don’t know if you guys saw the message. There’s a lot in like all the stuff he asked for. But for Amazon, specifically. We need to know if it’s seller fulfilled or not.
87 00:14:01.070 ⇒ 00:14:02.090 Payas Parab: Okay, me, too.
88 00:14:02.090 ⇒ 00:14:08.849 Payas Parab: Make sure that that gets flowed through to the final dashboard. That’s 1 major thing. And then there’s something
89 00:14:09.230 ⇒ 00:14:33.539 Payas Parab: there is something around like there. There’s like a special type of discount that maybe we don’t know where it might be. So through, like from the de side. To investigate is like, make sure seller fulfilled is pulled through at the order level, and then the second would be to see if, like, there’s like anything information around what discounts are used, because there’s special discounts that they want to be able to track what the profitability looks like.
90 00:14:33.640 ⇒ 00:14:35.818 Payas Parab: And then the 3rd thing would be
91 00:14:36.340 ⇒ 00:14:49.722 Payas Parab: They do want to figure out like new versus returning. So we have to sort of build a logic similar to what we did with shopify, for, like the row number I I have like I I pasted the logic that I had sent Brian. We just need to like Redo that in our
92 00:14:50.520 ⇒ 00:14:53.319 Payas Parab: like, we just need to redo, that for Amazon, essentially.
93 00:14:54.010 ⇒ 00:14:54.600 Uttam Kumaran: Okay.
94 00:14:54.960 ⇒ 00:15:00.699 Uttam Kumaran: yeah, we have the a wish. I’ll send you the where the logic 1st we did this for another client.
95 00:15:01.189 ⇒ 00:15:05.730 Uttam Kumaran: Where we we isolated seller fulfilled. I’ll send you the logic for that.
96 00:15:07.130 ⇒ 00:15:08.170 Awaish Kumar: So what is this?
97 00:15:08.170 ⇒ 00:15:08.810 Uttam Kumaran: Make that change.
98 00:15:08.810 ⇒ 00:15:10.850 Awaish Kumar: Seller fulfilled like.
99 00:15:10.850 ⇒ 00:15:20.030 Uttam Kumaran: Yeah, so so the the meaning is so when you, when you, when you use Amazon, either the Amazon will fulfill it, or the seller will fulfill meaning
100 00:15:20.200 ⇒ 00:15:26.439 Uttam Kumaran: use. Sometimes you may sell, send, like a hundred 1,000 units to Amazon, and they figure out how to get it to you. Otherwise.
101 00:15:26.440 ⇒ 00:15:27.010 Awaish Kumar: They just.
102 00:15:27.010 ⇒ 00:15:28.769 Uttam Kumaran: Give you the order, and then you sell it.
103 00:15:29.050 ⇒ 00:15:30.659 Uttam Kumaran: The idea here is we only.
104 00:15:30.660 ⇒ 00:15:31.130 Awaish Kumar: I.
105 00:15:31.130 ⇒ 00:15:32.640 Uttam Kumaran: Show the seller fulfilled, basically.
106 00:15:33.100 ⇒ 00:15:35.380 Payas Parab: We want to show both. They want to see profitability on both.
107 00:15:35.730 ⇒ 00:15:42.650 Awaish Kumar: Actually I saw that column in the orders table where it says afn, and Mfn. Like Amazon, fulfill.
108 00:15:42.660 ⇒ 00:15:44.969 Uttam Kumaran: Yeah, 100%. That’s it. Yeah, I’m just.
109 00:15:46.160 ⇒ 00:15:50.150 Payas Parab: Yeah, I just wanna make clear that like that has to flow through to the final table as well.
110 00:15:50.150 ⇒ 00:15:50.760 Awaish Kumar: Close, that.
111 00:15:50.760 ⇒ 00:15:54.610 Payas Parab: It will be a key like divider for the profitability, metrics.
112 00:15:55.130 ⇒ 00:15:57.349 Awaish Kumar: Okay. So you wanted an order stable.
113 00:15:57.760 ⇒ 00:16:02.760 Payas Parab: Exactly. Yeah. Fact, order should have that, like a fulfilled Amazon fulfilled status.
114 00:16:04.160 ⇒ 00:16:04.770 Awaish Kumar: Okay.
115 00:16:07.320 ⇒ 00:16:09.133 Uttam Kumaran: Yeah, I’m just gonna put this in the
116 00:16:10.510 ⇒ 00:16:12.080 Uttam Kumaran: I’ll just put this in the ticket.
117 00:16:13.560 ⇒ 00:16:17.869 Awaish Kumar: Okay, I will look at the Pr. And what’s missing there, and also add this column.
118 00:16:18.910 ⇒ 00:16:21.529 Payas Parab: Which which ticket are you updating here, Tom? Because I can add those 3
119 00:16:21.940 ⇒ 00:16:24.019 Payas Parab: 3 specific things. I just wanna make sure we get.
120 00:16:24.300 ⇒ 00:16:27.439 Uttam Kumaran: Yeah, I’m just finding it in notion.
121 00:16:35.630 ⇒ 00:16:37.560 Uttam Kumaran: Oh.
122 00:16:47.690 ⇒ 00:16:53.040 Uttam Kumaran: yeah, I don’t think there isn’t. There necessarily is an Amazon data modeling one.
123 00:16:53.150 ⇒ 00:16:58.689 Uttam Kumaran: But let’s just put it in this ticket. I’ll send it in slack right now.
124 00:17:03.110 ⇒ 00:17:05.980 Uttam Kumaran: I’ll add a wish. I’ll add you to this ticket as well.
125 00:17:07.800 ⇒ 00:17:10.889 Uttam Kumaran: But yeah, one item is, we just need to add.
126 00:17:11.566 ⇒ 00:17:14.900 Uttam Kumaran: the the fulfillment method to the final table.
127 00:17:18.950 ⇒ 00:17:25.280 Awaish Kumar: We also need to change that right from fulfillment orders to the orders table. So we have more
128 00:17:25.380 ⇒ 00:17:27.410 Awaish Kumar: more rows in the customer dimension.
129 00:17:27.410 ⇒ 00:17:33.770 Uttam Kumaran: Yes, I did. Yeah. And then also, just like, fix this. Pr, I’ll link that Pr in here.
130 00:17:34.740 ⇒ 00:17:35.440 Awaish Kumar: Yes.
131 00:17:36.180 ⇒ 00:17:41.190 Awaish Kumar: So that’s that’s the Pr doing kind of trying to do the same thing right? That’s what we are talking.
132 00:17:41.190 ⇒ 00:17:43.539 Uttam Kumaran: Yeah, it’ll take you like 10 seconds.
133 00:17:44.490 ⇒ 00:17:48.469 Uttam Kumaran: I just fortunately do not have 10 seconds.
134 00:17:51.740 ⇒ 00:17:57.440 Uttam Kumaran: Okay, okay, cool. Yeah. I feel like that. Should
135 00:17:59.020 ⇒ 00:18:02.299 Uttam Kumaran: that should sort of do it for this initial Amazon stuff.
136 00:18:02.540 ⇒ 00:18:06.380 Uttam Kumaran: And I know Jacob is working on that. So I’m pretty okay with that.
137 00:18:07.065 ⇒ 00:18:10.849 Uttam Kumaran: I’ll get some more clarity with him midday today on like timeline.
138 00:18:13.870 ⇒ 00:18:18.670 Uttam Kumaran: For address marching address, matching gross margin. Dash like that’s still just open.
139 00:18:20.255 ⇒ 00:18:22.880 Payas Parab: The address matching is done.
140 00:18:23.220 ⇒ 00:18:23.980 Uttam Kumaran: Okay. Great.
141 00:18:23.980 ⇒ 00:18:45.920 Payas Parab: Yeah, Justin said. It’s he’s happy with the the response, the only thing he might want. And that’s like a potential next step is like somewhere where he can run that same algorithm for new information. So like he just like somewhere where, like on a weekly basis, he can like upload it and then run that algorithm. My thought process there. And maybe I’ll just discuss with Robert is like a stream lit app
142 00:18:46.240 ⇒ 00:18:55.230 Payas Parab: that might just like, have a Csv upload, and then it can just like get him the matches for those new emails that might be the fastest and easiest way to kind of solve for that.
143 00:18:56.750 ⇒ 00:19:10.539 Uttam Kumaran: Yeah, I guess. Conf, let’s confirm, if he wants that. And then, yeah, there’s a couple of ways we can do that. We can just orchestrate. We can orchestrate the match and then just pass in the the right data and then output cause I just want I’ll just get all that into a table and snowflake.
144 00:19:11.080 ⇒ 00:19:21.089 Payas Parab: Yeah. The problem is that the T. Plicks the T plicks is where it’s coming from. I’ve never heard of this, whatever the fuck that is, but it’s called T. Plicks. That’s where that data comes from.
145 00:19:22.150 ⇒ 00:19:24.219 Uttam Kumaran: What is plex? What is that? What do you mean?
146 00:19:24.380 ⇒ 00:19:26.370 Uttam Kumaran: I haven’t heard that word before.
147 00:19:28.730 ⇒ 00:19:31.570 Uttam Kumaran: Is this like a library, or is this like what is T-plex.
148 00:19:31.570 ⇒ 00:19:36.229 Payas Parab: I I have no idea, he just said, like I need somewhere to upload the plex data. Let me. I can. I can clarify.
149 00:19:36.230 ⇒ 00:19:39.949 Uttam Kumaran: Oh, it’s literally like a he he gave you like a spreadsheet.
150 00:19:41.000 ⇒ 00:19:44.030 Payas Parab: He gave me a spreadsheet, and he gave me a spreadsheet with like some
151 00:19:44.500 ⇒ 00:19:54.780 Payas Parab: like Pii that likely isn’t going to be. We’re not going to be able to snag from like. I think it’s some sort of like a where their order is fulfilled. They match it to like the customer.
152 00:19:54.780 ⇒ 00:19:55.910 Uttam Kumaran: Oh!
153 00:19:58.090 ⇒ 00:20:00.229 Uttam Kumaran: Okay, never mind. Then. Yeah, I guess.
154 00:20:01.670 ⇒ 00:20:10.449 Payas Parab: I think there’s a it has to be in a spreadsheet. For some reason. I I can’t remember exactly, but I think it was like it has to be. He needs a place to upload the spreadsheet, because it’s like.
155 00:20:11.570 ⇒ 00:20:15.029 Payas Parab: I don’t know. I we can. We can clarify that. But
156 00:20:15.220 ⇒ 00:20:35.320 Payas Parab: yeah, I think I think we could easily make just a streamline app that it’s like you just copy that algorithm, the matching algorithm. And it’s just like in a streamline app. You upload the Csv, you download it. We don’t need to like store that data anywhere. Also, because I don’t know where this data is coming from. And like, what type of pii we’re helping match. I’m just like they can just upload and download, and it’s not saved anywhere.
157 00:20:35.910 ⇒ 00:20:36.460 Uttam Kumaran: Okay.
158 00:20:37.020 ⇒ 00:20:37.610 Payas Parab: Yeah.
159 00:20:39.740 ⇒ 00:20:43.089 Uttam Kumaran: Okay, cool. So I’m gonna close that out. Gross margin. Dash.
160 00:20:44.330 ⇒ 00:20:50.269 Payas Parab: Small edits came through. It’s mostly like the shopify stuff. Looks right. It’s just a matter of
161 00:20:50.440 ⇒ 00:20:58.760 Payas Parab: hey? Can you like switch? The denominator here. Can you do this? Can you do that? There may be a couple of small d things, but I’ll let you know. I don’t think.
162 00:20:58.760 ⇒ 00:21:01.590 Uttam Kumaran: Are those in? Are those edits in slack somewhere.
163 00:21:02.690 ⇒ 00:21:06.239 Payas Parab: Like every every everything, for Joby is in that one message.
164 00:21:07.380 ⇒ 00:21:08.619 Uttam Kumaran: Okay. Okay. Great.
165 00:21:08.990 ⇒ 00:21:10.980 Payas Parab: Yeah, like every single work stream.
166 00:21:10.980 ⇒ 00:21:11.859 Payas Parab: I see. I see. I see
167 00:21:11.860 ⇒ 00:21:14.040 Payas Parab: it’s been multiple threads. It’s all in that one message.
168 00:21:14.550 ⇒ 00:21:16.379 Uttam Kumaran: Okay. Then I’m just gonna
169 00:21:17.040 ⇒ 00:21:21.899 Uttam Kumaran: let’s just I’m gonna just leave this because I I sort of want to get this to a closed state.
170 00:21:23.860 ⇒ 00:21:31.280 Uttam Kumaran: and then talk about it the next state. So if we’re not at that like cool, this is like done. I know there’s going to be small things here and there.
171 00:21:31.650 ⇒ 00:21:36.030 Uttam Kumaran: But let’s see how we can get toward this towards just like a big like, okay, cool view on.
172 00:21:36.390 ⇒ 00:21:40.140 Uttam Kumaran: we’re good on. And we can actually start talking about like what’s actually in the dash?
173 00:21:40.710 ⇒ 00:21:41.720 Uttam Kumaran: Ideally.
174 00:21:46.830 ⇒ 00:21:49.690 Uttam Kumaran: okay, cool. Alright. I’m I’ll leaving this open.
175 00:21:53.260 ⇒ 00:21:55.950 Uttam Kumaran: What do you think on like timeline for those changes.
176 00:22:00.110 ⇒ 00:22:05.109 Payas Parab: I’m trying to figure out. Maybe, Robert, we could go through, and just like cause there’s a couple of things there
177 00:22:05.470 ⇒ 00:22:12.316 Payas Parab: that like came up. So I think those changes I can like Flip pretty soon.
178 00:22:13.380 ⇒ 00:22:20.979 Payas Parab: just yeah, a little bit a little bit stretched on just like between the day job. But I’ll let me. Let me just let me get back to you on that. Let me get back to you like.
179 00:22:20.980 ⇒ 00:22:23.109 Payas Parab: okay. It may helpful. Just have a meeting.
180 00:22:24.030 ⇒ 00:22:24.545 Uttam Kumaran: And
181 00:22:26.070 ⇒ 00:22:30.840 Uttam Kumaran: yeah, or if it’s really clear, I I would I would prefer we hand this all to Jacob.
182 00:22:31.220 ⇒ 00:22:32.040 Payas Parab: Okay.
183 00:22:32.040 ⇒ 00:22:33.039 Uttam Kumaran: Is that possible?
184 00:22:34.260 ⇒ 00:22:34.830 Uttam Kumaran: Bye, heather.
185 00:22:34.830 ⇒ 00:22:43.689 Payas Parab: I think the dashboard for the gross margin edits that aspect is very clear. Everything else needs some context but the gross margin things we can hand to Jacob.
186 00:22:43.940 ⇒ 00:22:46.479 Uttam Kumaran: Okay, I would prefer we just do that. Then.
187 00:22:46.660 ⇒ 00:22:48.900 Payas Parab: Does he have capacity in like? The next day or 2.
188 00:22:49.030 ⇒ 00:22:49.730 Uttam Kumaran: Yes.
189 00:22:50.130 ⇒ 00:23:09.290 Robert Tseng: Yeah, Hi, it’s basically like, I guess if we were to meet later, I don’t know if we had a 1 on one schedule, I didn’t see any of my calendar, but like it’s great that you have the engagement and relationship with just now, and like, if you want to just leverage, Jacob to execute like, because, yeah, we just want to turn things around faster like, that’s fine. You can be more of like
190 00:23:09.490 ⇒ 00:23:12.950 Robert Tseng: the strategist and architect here.
191 00:23:13.540 ⇒ 00:23:14.100 Robert Tseng: Oh.
192 00:23:14.100 ⇒ 00:23:29.730 Payas Parab: Yeah, I I just like, if if it’s the quick dashboard changes, I just like, get a little J, this is part of like a broader conversation. Anyway, Robert new Tom around like for someone who’s part time. And I imagine Jacob will have the same thing come up. It’s like we we’re gonna have to figure out like systems that like
193 00:23:30.080 ⇒ 00:23:32.110 Payas Parab: are sustainable for part time. People.
194 00:23:32.110 ⇒ 00:23:36.519 Uttam Kumaran: Yeah, yeah, yeah, for for the analyst function, like, we’ll have to think about some slas.
195 00:23:37.390 ⇒ 00:23:38.040 Payas Parab: No.
196 00:23:38.410 ⇒ 00:23:40.869 Uttam Kumaran: So yeah, we’re working on what the patch.
197 00:23:40.870 ⇒ 00:24:05.639 Robert Tseng: I mean, in general, what I’ve been holding across the other clients is like for urgent stuff, 48 h turnaround, and then for non urgent stuff like you have a week to do it like, I think, should we try to keep it pretty simple on the on the even side? And like, I think that’s kind of how we’ve been doing it. So yeah, price, if it’s just kind of like, yeah, you’re not a place right now, as you’re adjusting the stuff, you don’t want to do anything urgent. Then anything urgent just kick it to Jacob like, try to.
198 00:24:05.640 ⇒ 00:24:06.400 Uttam Kumaran: Yeah, they could take out.
199 00:24:06.400 ⇒ 00:24:17.059 Robert Tseng: You want the week long stuff, because there’s more like kind of scoping. And you have to do spikes or whatever like, yeah, keep owning that. Yeah, but you know, that’s.
200 00:24:17.060 ⇒ 00:24:35.120 Payas Parab: That’s like, if on anything any project like you can give just like give me on. This goes for pool parts, too, is like, give me the redundancy, because, like, I have the context like what needs to get done. It’s just some of the immediate dashboard flip stuff. It’s just like I don’t know when I’ll have time to just like quickly make those changes. And then I’m trying to be responsive to like
201 00:24:35.190 ⇒ 00:24:57.300 Payas Parab: client needs and things that like might get blocked down the road if I don’t reply. So I’m trying to like prioritize those. But if we can like, they just have the redundancy, and then the gross margin stuff. Flip it to Jacob. He can get it moving, and then, if he needs help, he can just like cop. Call me at any time. It’s not like a like I’m trying to like. Hand it off completely. It’s just like I think this redundancy might help if he’s better at managing urgent stuff than I am. Frankly.
202 00:24:57.800 ⇒ 00:24:58.260 Uttam Kumaran: Okay.
203 00:24:58.260 ⇒ 00:25:21.870 Robert Tseng: Yeah, I think we’re okay on Joby. I think the the just engagement in the Channel is good, like Jared and Aman are not pinging me about anything anymore, because they see that Justin’s engaged. So we’re good on that front. We have weeklies with Aman starting next Wednesday again. So I’ve queued up a bunch of stuff to talk to them about. So I think I think we’re okay with what we have outstanding here. If we could. Yeah, just I think, yeah, not not as
204 00:25:22.420 ⇒ 00:25:25.119 Robert Tseng: not as worried as I was at the end of last week.
205 00:25:29.180 ⇒ 00:25:30.516 Uttam Kumaran: Okay. So I’m gonna
206 00:25:31.520 ⇒ 00:25:36.429 Uttam Kumaran: I’m just gonna make sure that Jacob has everything he needs to take this on basically
207 00:25:37.224 ⇒ 00:25:39.770 Uttam Kumaran: and then, yeah, let’s just pass as much of this
208 00:25:40.500 ⇒ 00:25:44.190 Uttam Kumaran: stuff that we can basically just get that. Because again, if it’s like 5, if it’s like
209 00:25:44.340 ⇒ 00:25:49.879 Uttam Kumaran: just clicking a few buttons in the dashboard. I don’t want it to do. Have a week between that, so we’ll just hand it to him.
210 00:25:50.301 ⇒ 00:25:58.180 Uttam Kumaran: Also he’s handling the Amazon dashboard, which is good Amazon via portable. This is still blocked, so I don’t think we have anything else really remaining to talk about.
211 00:25:59.600 ⇒ 00:26:01.500 Uttam Kumaran: On Javi side.
212 00:26:04.450 ⇒ 00:26:08.290 Uttam Kumaran: Yeah, I think mainly it’s just getting these dashboards out, and then any sort of support there.
213 00:26:09.042 ⇒ 00:26:09.987 Uttam Kumaran: Cool. Let’s
214 00:26:12.090 ⇒ 00:26:16.515 Uttam Kumaran: Where do we want to move to cool parts, me and
215 00:26:17.715 ⇒ 00:26:22.769 Uttam Kumaran: me and pies we talked. Yeah, I’ll I’ll figure out something for this this week.
216 00:26:25.010 ⇒ 00:26:27.329 Uttam Kumaran: And then for stack. Blitz.
217 00:26:29.200 ⇒ 00:26:33.350 Uttam Kumaran: Right? You’re on yeah. Do you want to talk through where you’re at today with stuff
218 00:26:34.375 ⇒ 00:26:42.789 Uttam Kumaran: especially on the user modeling? Particularly, I want to try to get something around users, orgs, subscriptions
219 00:26:43.180 ⇒ 00:26:48.020 Uttam Kumaran: alongside the stripe data, whether it’s in real or not, I don’t really care.
220 00:26:48.220 ⇒ 00:26:53.520 Uttam Kumaran: But as long as it’s in Dvt. And A. Pr. That he can review unless we’re in like state
221 00:26:53.840 ⇒ 00:26:54.280 Uttam Kumaran: somewhere.
222 00:26:54.280 ⇒ 00:27:03.410 Luke Daque: Sure. So for subscriptions, we already have that for stripe. I’m currently working on users and organizations that are coming from postgress.
223 00:27:03.730 ⇒ 00:27:08.799 Luke Daque: And then, yeah, for the models, and then maybe I’ll also add it into rail
224 00:27:09.247 ⇒ 00:27:14.250 Luke Daque: as as much as I can with what data that we have. But if there are still some
225 00:27:14.380 ⇒ 00:27:17.860 Luke Daque: calculated fields that need Mitch’s
226 00:27:19.830 ⇒ 00:27:25.020 Luke Daque: input, then I’ll I’ll also include that in the and the message as well.
227 00:27:25.630 ⇒ 00:27:30.030 Uttam Kumaran: Okay, how much like do you think we’ll hit something by Friday for all those.
228 00:27:30.200 ⇒ 00:27:36.849 Luke Daque: Yeah, I should. I should probably be able to create a Pr within today for the users and orgs. Yeah.
229 00:27:37.300 ⇒ 00:27:45.760 Uttam Kumaran: Cool. Then I can review tomorrow, and then we at least have something to Demo Friday, so if you can get a Pr before logging off. Then I can kind of take it from there.
230 00:27:45.760 ⇒ 00:27:54.280 Luke Daque: Sure, and the real dashboards already deployed as well. I’m not sure what happened. The real vendor team did not say anything. But
231 00:27:54.950 ⇒ 00:27:58.849 Luke Daque: I tried to redeploy it. It’s it’s already deployed. So yeah, good.
232 00:27:58.850 ⇒ 00:27:59.700 Uttam Kumaran: Okay, cool.
233 00:27:59.840 ⇒ 00:28:02.770 Uttam Kumaran: Yeah, it looks like Mitch is just busy. So let’s just keep cranking
234 00:28:04.590 ⇒ 00:28:05.460 Uttam Kumaran: And then
235 00:28:05.590 ⇒ 00:28:09.219 Uttam Kumaran: I just want to get his feedback, and then on Friday we’ll try to get him to push segment in.
236 00:28:09.410 ⇒ 00:28:10.610 Uttam Kumaran: But like
237 00:28:11.130 ⇒ 00:28:17.259 Uttam Kumaran: I feel like, I don’t need to touch this for the next day. So just let me know if I do before you log off today.
238 00:28:17.640 ⇒ 00:28:18.070 Luke Daque: Sounds good.
239 00:28:18.070 ⇒ 00:28:22.630 Uttam Kumaran: Otherwise I like I have. I’m pretty confident we can just handle this just through you
240 00:28:22.920 ⇒ 00:28:24.029 Uttam Kumaran: in terms of development.
241 00:28:24.900 ⇒ 00:28:27.119 Uttam Kumaran: We don’t have like that many hours, anyways. But
242 00:28:27.650 ⇒ 00:28:30.090 Uttam Kumaran: it’s just all like very core data modeling work.
243 00:28:31.318 ⇒ 00:28:35.580 Uttam Kumaran: Cool. Do we want to talk about Eden?
244 00:28:36.420 ⇒ 00:28:39.930 Uttam Kumaran: I guess, Robert, I know what’s on our plates.
245 00:28:40.660 ⇒ 00:28:44.809 Uttam Kumaran: Anything else like on that client that we want to go through.
246 00:28:45.080 ⇒ 00:28:49.553 Robert Tseng: Yeah, I guess. Maybe just kind of directed at Sahana.
247 00:28:50.170 ⇒ 00:28:57.059 Robert Tseng: yeah. Any like next steps on the Cx or the Pharma side? Yeah, I have to
248 00:28:57.410 ⇒ 00:29:04.139 Robert Tseng: give them a roadmap check in in an hour. And yeah, just wanna give them something. I mean, yeah, just
249 00:29:04.490 ⇒ 00:29:05.930 Robert Tseng: see if we’ve made any.
250 00:29:06.080 ⇒ 00:29:11.929 Robert Tseng: I know we’ve been blocked on this engineering thing for some time. So I but yeah.
251 00:29:12.210 ⇒ 00:29:16.040 Robert Tseng: the the event tracking implementation I have not made any movement on.
252 00:29:16.540 ⇒ 00:29:24.321 Robert Tseng: But I think if anything, I could give an update on like, okay, we’ve talked to these 2 departments. These are some of the things that are kind of like on the roadmap now.
253 00:29:25.000 ⇒ 00:29:27.320 Robert Tseng: I don’t know if we’re ready to do that with them today.
254 00:29:28.260 ⇒ 00:29:37.639 Sahana Asokan: Yeah, I think there’s only update on Cx, right? Just kicking off that plan for getting that Zendesk data into data warehouse. So
255 00:29:38.670 ⇒ 00:29:41.350 Sahana Asokan: up for me is just me looking over
256 00:29:41.770 ⇒ 00:29:54.679 Sahana Asokan: there’s index data, because I just got access and coming up with a very basic data model on the pharmacies. No, I don’t have any updates. I don’t. I don’t. Wasn’t really sure what was next after that call. Just kind of waiting.
257 00:29:56.140 ⇒ 00:30:12.160 Robert Tseng: Yeah, I guess so. Rebecca sent over a doc, too. I think there were kind of 2 things. One was like a Zendesk related work stream. So maybe just if you could look at her, Doc, and see if what’s in her requirements that’s like how to overlap with the Zendesk data as you’re looking through it. Maybe we can kind of just like
258 00:30:12.410 ⇒ 00:30:23.909 Robert Tseng: Have- have a plan for for both. I think the Zendesk data will probably come 1st before ship out. But those are really the 2 data stream, like sources that we need to kind of get into the data warehouse next.
259 00:30:24.361 ⇒ 00:30:29.340 Robert Tseng: I’m assuming she’ll probably help on that once we move on from the marketing stuff.
260 00:30:29.688 ⇒ 00:30:34.400 Robert Tseng: So yeah, it’s really just gonna be Zendesk, and then and then ship out. And I think that all
261 00:30:34.590 ⇒ 00:30:43.689 Robert Tseng: yeah, the I’ve postponed the looker to tableau migration I haven’t started at today. I’m basically not doing anything until we get the marketing thing done.
262 00:30:44.170 ⇒ 00:30:44.690 Uttam Kumaran: Cool.
263 00:30:45.749 ⇒ 00:30:50.550 Robert Tseng: She sent it to this. I think the farm Ops channel question marks.
264 00:30:50.960 ⇒ 00:30:51.770 Robert Tseng: Yeah.
265 00:30:52.400 ⇒ 00:30:53.299 Sahana Asokan: Okay. Let me look.
266 00:30:53.780 ⇒ 00:30:59.060 Robert Tseng: Yeah, I see. Yeah, I’ll yeah. It’s it should be there.
267 00:30:59.060 ⇒ 00:31:00.150 Sahana Asokan: Okay. Thanks.
268 00:31:00.360 ⇒ 00:31:00.760 Sahana Asokan: Yeah.
269 00:31:02.360 ⇒ 00:31:10.800 Uttam Kumaran: Cool. So I think a big thing. Yeah, waste this week. And that’s why sort of I was like just pinging this morning to make sure that
270 00:31:10.950 ⇒ 00:31:15.889 Uttam Kumaran: I could confirm ours is just I want to sort of hand off stuff for Eden.
271 00:31:16.100 ⇒ 00:31:19.530 Uttam Kumaran: It’s complicated on the data modeling side.
272 00:31:22.010 ⇒ 00:31:28.438 Uttam Kumaran: So just crank through all this easy stuff with Javi, because this is like, it’ll be a little bit harder.
273 00:31:29.370 ⇒ 00:31:34.252 Uttam Kumaran: and it’s gonna require, like, yeah, it’s gonna require, like, a good amount of time every day.
274 00:31:35.040 ⇒ 00:31:37.580 Uttam Kumaran: so I want to sort of hand that off to you.
275 00:31:38.035 ⇒ 00:31:51.459 Uttam Kumaran: Particularly in some incoming sources. We need to, we need to decide on Etl tool. And then, second, yeah, I basically want to hand off all this Dbt logic that we’ve been nailing down and then you can start managing new requests.
276 00:31:54.120 ⇒ 00:31:56.819 Uttam Kumaran: So yeah, let’s try to. We’ll try to spend some time. I think
277 00:31:57.310 ⇒ 00:32:04.090 Uttam Kumaran: this week every day, and sort of transitioning that over so cool.
278 00:32:04.090 ⇒ 00:32:04.580 Awaish Kumar: Okay.
279 00:32:04.580 ⇒ 00:32:07.120 Uttam Kumaran: Anything else on? Yeah. Sorry. Go ahead.
280 00:32:09.770 ⇒ 00:32:12.430 Uttam Kumaran: Okay. Anything else on art helper.
281 00:32:14.090 ⇒ 00:32:35.270 Robert Tseng: Yeah, I think we have a second schedule Friday. So I think we’re assuming we’re trying to close out by then. Yes, if you need me to review anything on the reports like, let me know. Otherwise I think the outline is like you’re just gonna share, like you’re gonna do a little bit of a business review with them, and then I’ll kind of try to. I’ll have a couple of slides on the, on the on the pitch to get them to renew.
282 00:32:35.600 ⇒ 00:32:45.780 Sahana Asokan: Yeah, the retention activation dashboards are done. So I was just planning on going over those with them. It’s pretty high level. So I think that’s kind of what we wanted, right? Just for the audit phase.
283 00:32:45.930 ⇒ 00:32:46.670 Sahana Asokan: Yeah.
284 00:32:47.250 ⇒ 00:32:47.810 Robert Tseng: Cool.
285 00:32:48.300 ⇒ 00:32:53.860 Uttam Kumaran: Robert, can you record that meeting with them, or I don’t know if you already are? I think it’s helpful.
286 00:32:54.590 ⇒ 00:32:59.050 Uttam Kumaran: I mean, I want to watch it, but I think it’s probably helpful for sales, too, and just generally having it.
287 00:32:59.680 ⇒ 00:33:05.560 Robert Tseng: Okay, yeah, I think it. I think we have our zoom on it. So I would think we should be able to start the record. Yeah.
288 00:33:05.920 ⇒ 00:33:17.710 Uttam Kumaran: Okay, cool? Yeah. And then 2 weeks we kick off urban stems. Not sure yet
289 00:33:17.990 ⇒ 00:33:21.760 Uttam Kumaran: on who’s gonna be? I mean, I’ll be on there. I’m not sure yet who’s gonna handle
290 00:33:22.160 ⇒ 00:33:28.120 Uttam Kumaran: some ae work with me, I think at the moment, Luke, you’re sort of managing pool parts and
291 00:33:28.810 ⇒ 00:33:33.159 Uttam Kumaran: stack, Blitz. I think most of your time should just go to stack blit stuff.
292 00:33:33.360 ⇒ 00:33:37.180 Uttam Kumaran: I think a waste most of your time will probably end up going to eat and stuff
293 00:33:37.806 ⇒ 00:33:43.249 Uttam Kumaran: so I will be on the hunt for someone else. I messaged a bunch of people in Dbt. Slack.
294 00:33:43.630 ⇒ 00:33:48.949 Uttam Kumaran: have some more interviews, and then I spoke with one person named Emily.
295 00:33:49.080 ⇒ 00:34:01.611 Uttam Kumaran: He is, like a former engineering manager at Spotify. He may come in on one of these clients, and sort of take on some of the work that me and Robert are doing in terms of
296 00:34:02.210 ⇒ 00:34:08.078 Uttam Kumaran: sort of like the engagement, lead Aka, just like the architect on the data side.
297 00:34:08.949 ⇒ 00:34:14.570 Uttam Kumaran: they’ll see how that turns out. But I like, yeah, if urban stems.
298 00:34:14.679 ⇒ 00:34:17.089 Uttam Kumaran: we, I basically want to close that out in the next week.
299 00:34:18.820 ⇒ 00:34:20.550 Uttam Kumaran: Otherwise it’s going to be tense.
300 00:34:22.190 ⇒ 00:34:25.399 Uttam Kumaran: And then the last thing we’re gonna close one more analyst this week.
301 00:34:27.500 ⇒ 00:34:34.870 Uttam Kumaran: so that’s that’s a team should be growing a little bit. But it’s good. I’m glad we have a little bit more clarity on timelines and capacity. So.
302 00:34:36.270 ⇒ 00:34:48.520 Uttam Kumaran: yeah, yeah, I guess I know we have some Demos on Friday, if we want to schedule like a check in tomorrow. I know we have the data team meeting tomorrow, too. We can use that or move that to later. If we need to run through anything. Otherwise, I’m
303 00:34:48.889 ⇒ 00:34:54.839 Uttam Kumaran: my whole day today is going to be on like development and planning and data stuff.
304 00:34:56.429 ⇒ 00:35:01.320 Uttam Kumaran: So I’m gonna I should be on pinging all day. Probably.
305 00:35:03.820 ⇒ 00:35:06.829 Robert Tseng: Yeah. Please pass that demo that that’d be great.
306 00:35:06.830 ⇒ 00:35:07.430 Uttam Kumaran: Yeah.
307 00:35:07.790 ⇒ 00:35:11.150 Payas Parab: I think it’s gonna come up a bunch with some of the marketing analytics stuff.
308 00:35:11.150 ⇒ 00:35:11.750 Uttam Kumaran: Okay.
309 00:35:15.010 ⇒ 00:35:15.720 Uttam Kumaran: cool.
310 00:35:17.720 ⇒ 00:35:19.459 Uttam Kumaran: Okay, great anything else.
311 00:35:22.220 ⇒ 00:35:29.529 Uttam Kumaran: I’m gonna really focus on getting Javi stuff across the line. I think between me, Jacob, and away and pies. It’s a lot of coordination.
312 00:35:30.090 ⇒ 00:35:35.319 Uttam Kumaran: So yeah, we’re gonna I’m gonna try to get both those dashboards out out the door today.
313 00:35:35.540 ⇒ 00:35:39.560 Uttam Kumaran: So cool. Alright, guys, thank you.
314 00:35:40.020 ⇒ 00:35:40.550 Awaish Kumar: Right.
315 00:35:42.420 ⇒ 00:35:43.100 Uttam Kumaran: See you.