Meeting Title: DE-AE Standup Date: 2025-12-18 Meeting participants: Awaish Kumar, Uttam Kumaran, Mustafa Raja, Elizah Joy, Rico Rejoso, Demilade Agboola, Ashwini Sharma
WEBVTT
1 00:00:45.170 ⇒ 00:00:45.830 Awaish Kumar: No.
2 00:00:46.110 ⇒ 00:00:47.219 Uttam Kumaran: Hey, good morning.
3 00:00:47.570 ⇒ 00:00:48.120 Awaish Kumar: Yep.
4 00:00:48.420 ⇒ 00:00:50.430 Awaish Kumar: I don’t know what to say.
5 00:00:50.430 ⇒ 00:00:55.470 Uttam Kumaran: Good night. Saying goodnight doesn’t feel like good. I guess good evening.
6 00:00:58.190 ⇒ 00:01:01.090 Awaish Kumar: Yeah, good night when you say you go to sleep, right?
7 00:01:01.750 ⇒ 00:01:03.069 Uttam Kumaran: Yeah. Yeah.
8 00:01:09.100 ⇒ 00:01:13.749 Awaish Kumar: Yeah, I go to bed… In morning, so…
9 00:02:20.140 ⇒ 00:02:23.579 Uttam Kumaran: You wanna ping, other data folks?
10 00:02:24.500 ⇒ 00:02:26.150 Awaish Kumar: I’m freaked out.
11 00:03:05.240 ⇒ 00:03:05.890 Awaish Kumar: Hmm.
12 00:03:19.380 ⇒ 00:03:20.290 Ashwini Sharma: Hello.
13 00:03:21.690 ⇒ 00:03:22.420 Uttam Kumaran: Hey.
14 00:03:23.060 ⇒ 00:03:24.190 Awaish Kumar: Yeah, hello.
15 00:03:27.180 ⇒ 00:03:28.710 Awaish Kumar: We can install it.
16 00:03:31.290 ⇒ 00:03:33.440 Awaish Kumar: Let me share my screen.
17 00:03:46.500 ⇒ 00:03:47.909 Awaish Kumar: Yeah. Okay.
18 00:03:56.180 ⇒ 00:03:58.380 Awaish Kumar: Yeah, we can start with Hedra.
19 00:03:58.750 ⇒ 00:04:04.070 Awaish Kumar: So… I think there are two tickets.
20 00:04:04.770 ⇒ 00:04:09.460 Awaish Kumar: we are working on. One is, regarding…
21 00:04:09.820 ⇒ 00:04:24.810 Awaish Kumar: So, regarding the adding the percentage of videos in the user table, and the other one is credit packs purchased. So, yeah, Devil Rare, I saw your message, and I’ve asked Sandra, but she hasn’t replied yet.
22 00:04:24.920 ⇒ 00:04:28.180 Awaish Kumar: So, but I’m assuming that wherever it is.
23 00:04:28.670 ⇒ 00:04:31.710 Awaish Kumar: Written credit packs, we only want that.
24 00:04:33.320 ⇒ 00:04:49.090 Demilade Agboola: Yeah, that’s my assumption too, but I just want to be sure so that we don’t necessarily have to come back to this task, but that’s just the only clarification. Every other thing has been done. It’s just, once she clarifies whether it’s credit packs specifically, or anything that is credit.
25 00:04:49.360 ⇒ 00:04:53.770 Demilade Agboola: I will just make that modification to the counting of it, and…
26 00:04:53.990 ⇒ 00:05:01.370 Demilade Agboola: it’s already ready to… it’s already joined to, DIM user in the… in the… in my local branch.
27 00:05:02.950 ⇒ 00:05:05.230 Awaish Kumar: Okay, yeah, let’s see what she says.
28 00:05:05.230 ⇒ 00:05:05.840 Demilade Agboola: Okay.
29 00:05:07.110 ⇒ 00:05:11.399 Awaish Kumar: And then for… for this one, yeah, now that I have…
30 00:05:11.890 ⇒ 00:05:20.889 Awaish Kumar: took some time, from Element. I’m going to work on other tasks here and close these out by tomorrow.
31 00:05:25.600 ⇒ 00:05:26.209 Awaish Kumar: What phone?
32 00:05:26.210 ⇒ 00:05:27.469 Uttam Kumaran: So Ish, that’s helpful.
33 00:05:28.160 ⇒ 00:05:28.910 Awaish Kumar: Yeah.
34 00:05:30.070 ⇒ 00:05:33.340 Awaish Kumar: Apart from that, we can discuss.
35 00:05:34.260 ⇒ 00:05:35.520 Ashwini Sharma: CTA.
36 00:05:36.660 ⇒ 00:05:41.360 Ashwini Sharma: CTA, yeah, I’m still working on that CICD, and
37 00:05:42.370 ⇒ 00:05:44.420 Ashwini Sharma: Yeah, that’s… that’s all I have.
38 00:05:45.440 ⇒ 00:05:51.100 Ashwini Sharma: Both 14 and 15 will be clubbed into one single, work item.
39 00:05:53.540 ⇒ 00:06:01.059 Awaish Kumar: So we… so will we be having the, like, the task running on the staging, or not?
40 00:06:02.440 ⇒ 00:06:06.229 Ashwini Sharma: Yeah, there’ll be a task running on staging, as well as on prod.
41 00:06:06.480 ⇒ 00:06:07.130 Awaish Kumar: Okay.
42 00:06:09.800 ⇒ 00:06:12.820 Awaish Kumar: And, like, when are you targeting it?
43 00:06:12.820 ⇒ 00:06:16.070 Ashwini Sharma: I’m… yeah, by tomorrow, I’m targeting this.
44 00:06:18.050 ⇒ 00:06:21.050 Awaish Kumar: Okay, I think that’s… that’s all for this week, though.
45 00:06:21.050 ⇒ 00:06:21.720 Ashwini Sharma: Yep.
46 00:06:22.910 ⇒ 00:06:25.230 Awaish Kumar: So, all of these are, like, kind of…
47 00:06:25.870 ⇒ 00:06:30.370 Awaish Kumar: Needs to be moved to the… Next cycle?
48 00:06:44.300 ⇒ 00:06:45.890 Awaish Kumar: Okay.
49 00:06:46.730 ⇒ 00:06:50.320 Awaish Kumar: Or from CTA, we have Element. For Element, we…
50 00:06:50.660 ⇒ 00:06:54.259 Awaish Kumar: have a check-in meeting today. We already have…
51 00:06:54.430 ⇒ 00:06:57.930 Awaish Kumar: logged in the decisions for ETL tool, warehouse.
52 00:06:58.090 ⇒ 00:07:02.100 Awaish Kumar: Started the ingestion process, like, process, so…
53 00:07:02.420 ⇒ 00:07:09.419 Awaish Kumar: We only have Shopify access so far. I have asked for where to go, and also I’m going to ask for recharge.
54 00:07:10.730 ⇒ 00:07:11.360 Uttam Kumaran: Okay.
55 00:07:11.580 ⇒ 00:07:19.149 Awaish Kumar: all other three, like, the three connectors which… and the spins. I’ve already communicated with the team also for the spins.
56 00:07:19.400 ⇒ 00:07:25.150 Awaish Kumar: in the deck, right? So, if we need a follow-up, email follow-up on this Wednesday access.
57 00:07:25.380 ⇒ 00:07:27.209 Awaish Kumar: And then we have,
58 00:07:27.360 ⇒ 00:07:33.410 Awaish Kumar: three connectors that needs to be built by Polytomic, and we have to wait until next year for that.
59 00:07:34.430 ⇒ 00:07:38.639 Awaish Kumar: Galib clarified that they might not be working to build those connectors this…
60 00:07:38.880 ⇒ 00:07:41.020 Awaish Kumar: In this, 2-3 days.
61 00:07:41.330 ⇒ 00:07:48.210 Awaish Kumar: And then… we can only bring in data from Shopify and recharge, and I can…
62 00:07:48.360 ⇒ 00:07:55.020 Awaish Kumar: I can push for that, to basically have the data in Snowflake by… Before holidays.
63 00:07:57.710 ⇒ 00:08:01.550 Uttam Kumaran: Can we do a meeting to review our Snowflake script?
64 00:08:01.740 ⇒ 00:08:09.049 Uttam Kumaran: I mean, also, do you want to take that, Awash? Like, setting up Snowflake? Or you want to loop someone in to do that? It doesn’t matter.
65 00:08:09.050 ⇒ 00:08:09.859 Awaish Kumar: I do not.
66 00:08:10.130 ⇒ 00:08:10.830 Awaish Kumar: But…
67 00:08:10.830 ⇒ 00:08:15.890 Uttam Kumaran: Yeah, maybe we can just do a review with… A bunch of people on…
68 00:08:16.680 ⇒ 00:08:23.150 Uttam Kumaran: what’s in that script, and then I just want to confirm how we’re doing the roles and stuff. It’s been a while since I, like, looked at that.
69 00:08:24.400 ⇒ 00:08:28.310 Awaish Kumar: Okay, yeah, I have already… I looked into that when I was working on it.
70 00:08:29.160 ⇒ 00:08:29.850 Uttam Kumaran: Okay.
71 00:08:29.850 ⇒ 00:08:31.770 Awaish Kumar: All those things, so yeah, if you…
72 00:08:32.500 ⇒ 00:08:36.050 Awaish Kumar: If I can book a meeting between us, if it is internal, right?
73 00:08:36.940 ⇒ 00:08:38.090 Uttam Kumaran: Yeah, it’s internal.
74 00:08:39.919 ⇒ 00:08:40.649 Awaish Kumar: Okay.
75 00:08:41.039 ⇒ 00:08:43.419 Awaish Kumar: And do you have any preferred time?
76 00:08:45.890 ⇒ 00:08:49.090 Uttam Kumaran: Whenever. I mean, I… I… I… this doesn’t block this.
77 00:08:49.270 ⇒ 00:08:50.170 Uttam Kumaran: But…
78 00:08:50.270 ⇒ 00:08:56.700 Uttam Kumaran: I think it would just be good for us to do another review of that, especially before Eliza writes the SOP.
79 00:08:57.280 ⇒ 00:08:58.290 Uttam Kumaran: for…
80 00:08:59.950 ⇒ 00:09:03.509 Awaish Kumar: Yes. So, only thing that I’m…
81 00:09:03.620 ⇒ 00:09:14.649 Awaish Kumar: seeing is that, like, the databases, the rows, the service account keys, and the script is working as expected, like, we tested it on CTA.
82 00:09:14.830 ⇒ 00:09:22.109 Awaish Kumar: The only thing is that the roles we want to create, we might want to expand on that. Right now, we only have role developer.
83 00:09:22.440 ⇒ 00:09:27.879 Awaish Kumar: So we might want to have some categories around that, I don’t know what that’s… that we can discuss.
84 00:09:28.090 ⇒ 00:09:30.630 Awaish Kumar: If you want, like, we have this,
85 00:09:30.980 ⇒ 00:09:33.140 Awaish Kumar: salon, like, the… this stand-up is…
86 00:09:33.270 ⇒ 00:09:35.999 Awaish Kumar: It’s not going to take one hour, we can discuss in that.
87 00:09:38.500 ⇒ 00:09:39.409 Uttam Kumaran: Okay, okay.
88 00:09:40.640 ⇒ 00:09:44.849 Awaish Kumar: Yeah, that’s for Element, and
89 00:09:45.460 ⇒ 00:09:47.309 Awaish Kumar: I think that’s the target by…
90 00:09:48.230 ⇒ 00:09:53.869 Awaish Kumar: But before holidays, right? We want to ingest data, set up the snowflake, ingest data.
91 00:09:54.110 ⇒ 00:09:54.730 Awaish Kumar: First.
92 00:09:54.730 ⇒ 00:09:59.419 Uttam Kumaran: Yeah, I guess, like, not necessarily, like, before the holidays, like, just during the next two weeks.
93 00:10:00.360 ⇒ 00:10:02.509 Uttam Kumaran: Sort of before Jan, basically.
94 00:10:04.070 ⇒ 00:10:11.789 Awaish Kumar: before Jan, but we can only do Shopify and WeChart. That’s… that’s all we can do before January.
95 00:10:12.020 ⇒ 00:10:19.990 Uttam Kumaran: That’s fine, yeah, whatever we get, but setting up Snowflake, setting up Polyatomic, setting up DB… like, trying to set up dbt.
96 00:10:20.210 ⇒ 00:10:26.979 Uttam Kumaran: I’m basically, like, Showing that we can run some queries is a big win.
97 00:10:28.240 ⇒ 00:10:30.900 Awaish Kumar: Okay, yeah, we can do that.
98 00:10:35.850 ⇒ 00:10:44.749 Awaish Kumar: Yeah, okay, that’s all for that. And then we have Magic Spoon, which is starting. I don’t know, are we starting to work, like, from now, or…
99 00:10:45.320 ⇒ 00:10:46.040 Awaish Kumar: Doesn’t need.
100 00:10:46.040 ⇒ 00:10:46.740 Uttam Kumaran: Yes.
101 00:10:47.050 ⇒ 00:10:47.490 Awaish Kumar: Okay.
102 00:10:47.490 ⇒ 00:10:48.740 Uttam Kumaran: Yeah, yeah.
103 00:10:51.380 ⇒ 00:10:58.240 Uttam Kumaran: So, I mean, this is where I think, Ashwini, like, I think it’s really Ashwini and Demolade on this one.
104 00:10:58.490 ⇒ 00:11:03.519 Uttam Kumaran: I think we’ll… One thing I’m gonna mention,
105 00:11:04.390 ⇒ 00:11:14.480 Uttam Kumaran: to Clarence is to talk a little bit about, like, if we want to adopt, like, the new structure we were talking about last… last Friday. But yeah, I would like us to create tickets for the…
106 00:11:14.660 ⇒ 00:11:18.770 Uttam Kumaran: the first couple things, so I think for both of you guys, it’s just, like.
107 00:11:18.870 ⇒ 00:11:21.320 Uttam Kumaran: Check out all the stuff that they have today.
108 00:11:21.530 ⇒ 00:11:30.550 Uttam Kumaran: I think, Demolata, your job really starts aft… your job is, like, in two phases. One, after Ashwini lands the SPINS data.
109 00:11:30.930 ⇒ 00:11:39.599 Uttam Kumaran: you’ll be modeling it, but also you can start to take a look at everything they have. I think all three of us can work on, like, that piece, which is just a discovery piece.
110 00:11:39.920 ⇒ 00:11:43.830 Uttam Kumaran: Which is just, like, check out the whole tech stack.
111 00:11:43.940 ⇒ 00:11:50.700 Uttam Kumaran: So poke around, and then we have two… we have until end of January with them, so…
112 00:11:50.960 ⇒ 00:12:04.419 Uttam Kumaran: I do want to work with you guys to consider, like, what other opportunities there are, so I can put it in front of them by, like, mid-January, on, like, hey, here’s other ways that we can help you. I think, certainly, I expect that there’s probably some stuff we’ll find on the
113 00:12:04.420 ⇒ 00:12:12.949 Uttam Kumaran: general organization documentation side, but let’s see if there are other opportunities we can… we can try to help with, so I can expand the relationship.
114 00:12:15.070 ⇒ 00:12:16.200 Demilade Agboola: Okay, alright.
115 00:12:16.520 ⇒ 00:12:23.960 Demilade Agboola: And just to be clear, and I’ll just clarify, they do all their model, all their visualization in Omni, right? I think that’s what they’ve said in the call.
116 00:12:25.650 ⇒ 00:12:26.990 Uttam Kumaran: Yes, that’s correct.
117 00:12:26.990 ⇒ 00:12:31.490 Demilade Agboola: Alright, okay, so basically right now we have everything end-to-end, that’s what I wanted to confirm.
118 00:12:35.110 ⇒ 00:12:35.980 Uttam Kumaran: Yeah.
119 00:12:36.240 ⇒ 00:12:43.250 Demilade Agboola: Alright, sounds good. I’ll dig around and get an idea of what analytics they’re doing and potential opportunity areas as well.
120 00:12:47.050 ⇒ 00:12:49.940 Awaish Kumar: Okay, I have put some tickets here.
121 00:12:50.450 ⇒ 00:12:56.500 Awaish Kumar: So, like, by Friday, we can only do, maybe, discovery. I don’t think we will have pipeline ready.
122 00:12:59.880 ⇒ 00:13:05.690 Awaish Kumar: Maybe I can move that to… That’s weak.
123 00:13:06.360 ⇒ 00:13:11.620 Uttam Kumaran: I mean, it depends on… yeah, it depends on what Ashwini finds, but yeah, probably… probably next week, I’m guessing.
124 00:13:11.750 ⇒ 00:13:20.489 Uttam Kumaran: Yeah. I think for both of you guys, just make sure you have access to everything. I don’t know, I don’t think they’re out, but I will ask in the channel whether they’re gonna… what days they’re gonna be out.
125 00:13:22.500 ⇒ 00:13:30.989 Awaish Kumar: Do we have the… Ac… access to… Basically, the prefect.
126 00:13:31.360 ⇒ 00:13:32.510 Ashwini Sharma: No, we don’t.
127 00:13:32.900 ⇒ 00:13:33.440 Awaish Kumar: Okay.
128 00:13:33.440 ⇒ 00:13:36.990 Ashwini Sharma: There is a user ID, but I’m not sure, like…
129 00:13:38.280 ⇒ 00:13:41.540 Ashwini Sharma: It’s the email ID of, Magic Spoons.
130 00:13:42.150 ⇒ 00:13:45.030 Ashwini Sharma: And I don’t think we have access to that either.
131 00:13:45.840 ⇒ 00:13:47.090 Uttam Kumaran: They didn’t give a password?
132 00:13:47.440 ⇒ 00:13:49.829 Ashwini Sharma: No, there is no password.
133 00:13:50.140 ⇒ 00:13:52.339 Demilade Agboola: It says, sign in via email or…
134 00:13:52.340 ⇒ 00:13:55.759 Ashwini Sharma: It says email… email authentication, yeah.
135 00:13:56.070 ⇒ 00:13:57.540 Demilade Agboola: Well, there are no email details.
136 00:13:58.770 ⇒ 00:14:02.879 Uttam Kumaran: IT provision, TBD, sign in via email op.
137 00:14:04.700 ⇒ 00:14:07.339 Awaish Kumar: Yeah, it might be a Google account or something.
138 00:14:12.940 ⇒ 00:14:18.979 Uttam Kumaran: Oh, yeah, it says TBD, sign in via email off, but look down here at this GitHub one.
139 00:14:21.300 ⇒ 00:14:26.640 Demilade Agboola: My assumption is that, specifically, and we could try specifically a GitHub password, but…
140 00:14:27.070 ⇒ 00:14:29.670 Demilade Agboola: Because even for Omni Analytics, it says email loss.
141 00:14:29.670 ⇒ 00:14:30.075 Uttam Kumaran: Oh.
142 00:14:31.720 ⇒ 00:14:34.759 Demilade Agboola: So we need access to the email, like, the IT provision.
143 00:14:34.760 ⇒ 00:14:35.480 Uttam Kumaran: Yeah.
144 00:14:35.650 ⇒ 00:14:38.650 Demilade Agboola: Just hit… try, try the GitHub one.
145 00:14:38.650 ⇒ 00:14:42.920 Uttam Kumaran: Via Gmail. If it doesn’t work, just hit them. Say, hey, can I get,
146 00:14:44.870 ⇒ 00:14:46.990 Uttam Kumaran: Can we get access to IT provision?
147 00:14:52.330 ⇒ 00:14:53.010 Awaish Kumar: Okay.
148 00:14:55.260 ⇒ 00:14:58.230 Awaish Kumar: Okay, yeah, actually you can… Trying out.
149 00:14:58.230 ⇒ 00:15:05.819 Ashwini Sharma: This GitHub, we need to log in with a different username. They didn’t invite us to collaborate in the repo.
150 00:15:11.670 ⇒ 00:15:14.619 Demilade Agboola: Yeah, it appears that, just, they just gave us a username.
151 00:15:17.100 ⇒ 00:15:21.040 Awaish Kumar: Okay, yeah, let’s figure that out offline. We can…
152 00:15:21.040 ⇒ 00:15:21.560 Ashwini Sharma: Yeah.
153 00:15:22.040 ⇒ 00:15:24.040 Awaish Kumar: Move on to…
154 00:15:27.070 ⇒ 00:15:28.140 Awaish Kumar: Agent?
155 00:15:29.970 ⇒ 00:15:31.140 Awaish Kumar: Disagree.
156 00:15:39.100 ⇒ 00:15:41.740 Awaish Kumar: Yeah, actually, you can go ahead.
157 00:15:43.420 ⇒ 00:15:45.529 Uttam Kumaran: Sorry, what is that? Go ahead on what?
158 00:15:45.530 ⇒ 00:15:47.309 Awaish Kumar: For, for either updates.
159 00:15:47.310 ⇒ 00:15:53.860 Ashwini Sharma: Oh, for Eden, okay. Yeah, Eden, I worked on this one, Catalyst Change of This Logic.
160 00:15:55.000 ⇒ 00:15:55.929 Ashwini Sharma: It’s funny.
161 00:15:56.090 ⇒ 00:15:56.800 Awaish Kumar: Yeah.
162 00:15:56.800 ⇒ 00:16:00.079 Ashwini Sharma: Yeah, yeah, and just now, I think I merged it.
163 00:16:00.330 ⇒ 00:16:04.380 Ashwini Sharma: And I’m continuing with, 1268 and 1266.
164 00:16:04.890 ⇒ 00:16:08.310 Ashwini Sharma: I’ll meet with Demilade on the offlens data.
165 00:16:08.680 ⇒ 00:16:15.179 Ashwini Sharma: at least the catalyst bend was quite clear. I met with Avish, in the… a few hours ago, maybe one hour.
166 00:16:16.910 ⇒ 00:16:23.760 Ashwini Sharma: Yeah, that’s, all, and then, I don’t know, this new ticket has been created for me, I’m yet to look into it.
167 00:16:24.080 ⇒ 00:16:25.530 Ashwini Sharma: 1275…
168 00:16:25.790 ⇒ 00:16:30.949 Awaish Kumar: I think we can move on to the upcoming cycle. Focus on closing…
169 00:16:30.950 ⇒ 00:16:34.399 Ashwini Sharma: Can you do that 12.40 also, if it is not urgent?
170 00:16:37.070 ⇒ 00:16:42.290 Awaish Kumar: Like… We are… we have to finish some…
171 00:16:43.970 ⇒ 00:16:46.069 Ashwini Sharma: What the, this is…
172 00:16:46.380 ⇒ 00:16:51.189 Awaish Kumar: From some, like, we have to give, like, at least 10 hours on this, so I think that aligns with…
173 00:16:51.370 ⇒ 00:16:54.019 Awaish Kumar: What we are currently have taken on.
174 00:16:54.600 ⇒ 00:16:56.040 Ashwini Sharma: This is, what, by Friday?
175 00:16:56.710 ⇒ 00:16:57.290 Awaish Kumar: Yeah.
176 00:16:57.590 ⇒ 00:16:58.180 Ashwini Sharma: Okay.
177 00:17:02.830 ⇒ 00:17:03.750 Ashwini Sharma: All right.
178 00:17:03.750 ⇒ 00:17:05.010 Awaish Kumar: Yeah, demolade?
179 00:17:11.470 ⇒ 00:17:22.009 Demilade Agboola: So, for the task with Zach Bask, I’ve asked… he didn’t respond, he just basically gave me the eye emoji. Like, he’s seen it, but, like, he’s not said anything, again.
180 00:17:22.200 ⇒ 00:17:24.059 Demilade Agboola: That’s kind of what we ask.
181 00:17:24.640 ⇒ 00:17:28.060 Demilade Agboola: does, and then…
182 00:17:29.010 ⇒ 00:17:34.080 Demilade Agboola: I’m not sure what task 1282 is, so I must have added it. Can you click in, please?
183 00:17:35.740 ⇒ 00:17:36.480 Awaish Kumar: Yeah, it’s…
184 00:17:36.480 ⇒ 00:17:39.420 Demilade Agboola: Okay, so Henry created 16 hours ago.
185 00:17:41.200 ⇒ 00:17:44.169 Awaish Kumar: Returning, I don’t know how much it pushes.
186 00:17:50.590 ⇒ 00:17:53.370 Demilade Agboola: On returning the comfort by refills.
187 00:17:57.520 ⇒ 00:18:02.490 Demilade Agboola: On unpause customer existing treatment. Alright, alright, I get what he’s trying to do.
188 00:18:06.100 ⇒ 00:18:09.299 Awaish Kumar: Let’s do that in next cycle.
189 00:18:10.860 ⇒ 00:18:12.020 Demilade Agboola: Okay, sure.
190 00:18:13.040 ⇒ 00:18:15.409 Awaish Kumar: If, like, I… you can clearly…
191 00:18:15.410 ⇒ 00:18:15.990 Demilade Agboola: Think…
192 00:18:15.990 ⇒ 00:18:20.929 Awaish Kumar: awareness of this, but if not, then we can move on. Because, like, we are almost…
193 00:18:21.710 ⇒ 00:18:24.750 Awaish Kumar: It’s, like, 10 hours this week, so…
194 00:18:25.960 ⇒ 00:18:30.439 Awaish Kumar: Okay, sure. There are tasks which are assigned to Ashwini, they are more urgent than this one.
195 00:18:30.690 ⇒ 00:18:34.880 Awaish Kumar: So we can take on those first, and then come back on this next week.
196 00:18:36.600 ⇒ 00:18:42.490 Demilade Agboola: Okay, sounds good. I will confirm with Henry. I’m not sure if he’s in the office today, but I will confirm with Henry.
197 00:18:42.800 ⇒ 00:18:45.750 Demilade Agboola: How our genus is.
198 00:18:46.690 ⇒ 00:18:47.330 Awaish Kumar: Okay.
199 00:18:48.450 ⇒ 00:18:51.270 Awaish Kumar: Oh, yeah, then for default.
200 00:18:51.440 ⇒ 00:18:52.530 Awaish Kumar: demonologic.
201 00:18:52.660 ⇒ 00:18:53.910 Awaish Kumar: You can continue.
202 00:18:54.480 ⇒ 00:19:04.320 Demilade Agboola: So for defaults, I have done most of the modeling, cleaning up, and I have added some new models, or topics, as they’re called in default.
203 00:19:04.560 ⇒ 00:19:11.010 Demilade Agboola: So I am just today’s, like, focusing on, you know, the product integration usage dashboard.
204 00:19:11.340 ⇒ 00:19:24.300 Demilade Agboola: As well as, like, I… I also built a dashboard for Stan on their team, and he asked for a little modification, and this was, like, it was very helpful, but he needed a little modification to it, so I’ll be doing, like, dashboarding work today.
205 00:19:25.870 ⇒ 00:19:27.899 Awaish Kumar: Okay, do you need a separate ticket for that?
206 00:19:29.010 ⇒ 00:19:36.030 Demilade Agboola: Yes, it’s just, you could just add it, but at that point, it’s probably just, like, a one-point ticket. He just needs me to make a modification to…
207 00:19:36.560 ⇒ 00:19:42.079 Demilade Agboola: the dashboard and add some data. Or not add some data, but show some data.
208 00:19:43.390 ⇒ 00:19:44.539 Awaish Kumar: Okay, do a dashboard…
209 00:19:44.940 ⇒ 00:19:47.839 Demilade Agboola: to meeting analysis dashboard, so it’s.
210 00:19:55.760 ⇒ 00:19:56.470 Awaish Kumar: Okay.
211 00:20:05.450 ⇒ 00:20:07.479 Awaish Kumar: Okay, yeah, that’s all.
212 00:20:09.110 ⇒ 00:20:10.660 Awaish Kumar: For all the brands.
213 00:20:11.200 ⇒ 00:20:11.810 Mustafa Raja: Yeah, so…
214 00:20:11.810 ⇒ 00:20:18.580 Uttam Kumaran: So on… maybe I just said on default, so I, Demolati, the meeting yesterday with,
215 00:20:20.270 ⇒ 00:20:28.719 Uttam Kumaran: Caitlin is probably a good one for you to, yeah, just listen to on, like, 2X. So I got… I got approval for us to go direct to people to start building
216 00:20:29.560 ⇒ 00:20:34.560 Uttam Kumaran: I also basically got approval to extend our contract, like,
217 00:20:34.690 ⇒ 00:20:37.179 Uttam Kumaran: All of… basically the entirety of next year.
218 00:20:37.330 ⇒ 00:20:44.270 Uttam Kumaran: So, we’re going to… I mean, one is, like, I’m kind of gonna squarely put modeling and…
219 00:20:44.580 ⇒ 00:20:59.440 Uttam Kumaran: like, business reporting in your hands, so please try to build a relationship with those couple people that I mentioned, like, Stan, Ryan, Lev, and Laura. In particular, Laura, is, like, Chief of staff, so she’s.
220 00:20:59.440 ⇒ 00:20:59.880 Demilade Agboola: Gonna be suck.
221 00:20:59.880 ⇒ 00:21:05.589 Uttam Kumaran: Someone that we want to… like, bear hug. I can give you the breakdown, but…
222 00:21:05.720 ⇒ 00:21:13.090 Uttam Kumaran: Stan and Ryan and Laura are, like, kind of senior folks. I’ll also get us on a call, once you feel comfortable.
223 00:21:13.200 ⇒ 00:21:20.580 Uttam Kumaran: to speak to, like, the whole part of the business, I’ll get us on a call with the CEO, so we can start building some executive dashboards for him as well.
224 00:21:21.220 ⇒ 00:21:21.930 Demilade Agboola: Okay.
225 00:21:22.090 ⇒ 00:21:30.809 Uttam Kumaran: But, like, kind of hoping you can own Omni and, like, start to go direct. Basically, I told her that, like, what we’ll do is, like, we’ll go build a relationship, we’ll get requirements, and then
226 00:21:30.810 ⇒ 00:21:46.319 Uttam Kumaran: in that Friday meeting with her, which you can start coming to, we could present, like, here’s the things we heard, here’s what we built, and start to carve out some time for reporting. So I don’t… I don’t think this is gonna be that complicated. The second piece is we’re gonna… we’re gonna work on ETL as well, so I probably…
227 00:21:46.320 ⇒ 00:21:47.580 Demilade Agboola: I’m sure we’ve got lots to see that.
228 00:21:48.080 ⇒ 00:21:55.480 Uttam Kumaran: Yeah, I probably will, hand… hand that over to Mustafa… once we start to build out the requirements.
229 00:21:55.590 ⇒ 00:21:59.829 Uttam Kumaran: Right now, I… I…
230 00:22:00.400 ⇒ 00:22:10.620 Uttam Kumaran: I’m not sure at what timeline they’re gonna buy a tool, but they may just start giving us flat files. So, Mustafa, you and Thomas will be, like, kind of owning that.
231 00:22:10.660 ⇒ 00:22:23.009 Uttam Kumaran: In particular, I said the P0 sources are Hyperline, which is, like, their subscription revenue data, Salesforce, which is, like, all their CRM data, and the product data, which is in Postgres.
232 00:22:23.070 ⇒ 00:22:38.609 Uttam Kumaran: So those are, like, the super, super P0 stuff. And then Laura is gonna ask for a lot of stuff out of QuickBooks, although I told Caitlin that, look, if it’s just QuickBooks stuff and it does need to get combined, she should just get it from QuickBooks, and we can help her do that. So…
233 00:22:38.750 ⇒ 00:22:42.370 Uttam Kumaran: We’ll learn from what her requirements are. And then…
234 00:22:42.490 ⇒ 00:22:56.860 Uttam Kumaran: probably in end of January, I’m gonna loop in Greg, who’s gonna start to help with product analytics for them on Amplitude. So, we have, like, a… I feel pretty good about this. This client really likes us, so I think it’s on us just to continue to expand.
235 00:22:58.610 ⇒ 00:23:10.659 Uttam Kumaran: you know, the relationship. They are very, very smart people, so I’m hopeful that they can… like, they’re all technical people, so I’m hoping that they can all use Omni, and, like, our relationship is truly more, like.
236 00:23:11.050 ⇒ 00:23:13.100 Uttam Kumaran: Helping them set up topics.
237 00:23:13.280 ⇒ 00:23:16.110 Uttam Kumaran: And then maybe, like, really complicated dashboards, you know?
238 00:23:17.810 ⇒ 00:23:19.640 Demilade Agboola: Yeah, I was gonna ask,
239 00:23:21.100 ⇒ 00:23:26.350 Demilade Agboola: So, for right now, like, when you say we have them for the whole of next year, do you mean on, like, a…
240 00:23:26.570 ⇒ 00:23:32.369 Demilade Agboola: like, on a solid thing, or is it more of, like, a month-by-month review basis? I just wanted to clarify.
241 00:23:32.370 ⇒ 00:23:37.789 Uttam Kumaran: No, no, no, we have them on a solid thing. I mean, they have to sign it, but yeah.
242 00:23:37.790 ⇒ 00:23:38.180 Demilade Agboola: Gotcha.
243 00:23:38.180 ⇒ 00:23:39.969 Uttam Kumaran: she’s like, we have a… I mean…
244 00:23:40.150 ⇒ 00:23:49.999 Uttam Kumaran: the scope I mentioned, setting up ETL, setting up amplitude and amplitude reporting, setting up initial dashboards, is at least, like.
245 00:23:50.550 ⇒ 00:23:53.979 Uttam Kumaran: They’re… because they’re also developing a new product, so there’s at least, like.
246 00:23:54.420 ⇒ 00:23:56.420 Uttam Kumaran: 6 months of work there, and she’s like.
247 00:23:56.420 ⇒ 00:23:57.230 Demilade Agboola: Gotcha.
248 00:23:57.230 ⇒ 00:24:08.939 Uttam Kumaran: She’s like, we just want… she basically said, I don’t want to sign another renewal, just put it for a year, and, like, let’s just move on from it. So, that… this will be our longest…
249 00:24:09.210 ⇒ 00:24:10.959 Uttam Kumaran: contract. Once again.
250 00:24:10.960 ⇒ 00:24:11.590 Demilade Agboola: Okay.
251 00:24:11.590 ⇒ 00:24:12.020 Uttam Kumaran: Which is great.
252 00:24:12.020 ⇒ 00:24:19.090 Demilade Agboola: That’s great. I was just thinking from the perspective of, like, it allows us to know how, like,
253 00:24:19.330 ⇒ 00:24:35.720 Demilade Agboola: how long-term, in terms of thinking we need to do, and if, like, a 1-year contract is very long-term, you know, we can start to think, literally, of how do we want things to look just in 3 months, or 6 months, 9 months, and 12 months, so we can have an idea of, like, what sort of analytics we want to do.
254 00:24:35.720 ⇒ 00:24:45.970 Demilade Agboola: And also, like, when I’m having conversations with the people on the team, and finding out their pain points, I know that we should have enough time to get to most, if not all of them, over the next one year.
255 00:24:46.580 ⇒ 00:25:06.129 Uttam Kumaran: Correct, correct, yeah. So this one is, like… and also, like, again, these guys are… the business is growing, so I feel really good about this. I think the big challenge… if you’re asking me, like, what has been difficult, this is just their first rodeo into this data stuff, so it’s been a lot of, like, explaining to them how this works, but…
256 00:25:06.250 ⇒ 00:25:10.470 Uttam Kumaran: Yeah, I think they really appreciate our work, so we’re good.
257 00:25:12.910 ⇒ 00:25:22.669 Demilade Agboola: Okay, that’s great, that’s definitely great. Yeah, so we’ll definitely just go around, figure out what they do, like, the individuals do, and start creating, like, collections.
258 00:25:22.670 ⇒ 00:25:36.299 Demilade Agboola: see what overlaps exist and create collections for dashboards that they need, so that we can start to empower them, even based off what we have right now. But as ETL comes in, we can, you know, switch to those and have it more, like, have it more updated regularly.
259 00:25:37.380 ⇒ 00:25:37.960 Uttam Kumaran: Okay.
260 00:25:38.230 ⇒ 00:25:38.930 Awaish Kumar: Okay.
261 00:25:39.530 ⇒ 00:25:40.420 Demilade Agboola: Sounds good.
262 00:25:41.890 ⇒ 00:25:44.700 Awaish Kumar: Okay, Moswa, you wanted to say something?
263 00:25:44.860 ⇒ 00:25:48.339 Mustafa Raja: Yeah, so, for my updates,
264 00:25:48.790 ⇒ 00:25:56.960 Mustafa Raja: I was able to hook up Omni with the GitHub, so the model updates, the files are all in GitHub now.
265 00:25:57.770 ⇒ 00:26:09.499 Mustafa Raja: And the changes would also require… the changes in model would also require a PR, so it could also reflect in GitHub. And then, we received,
266 00:26:09.840 ⇒ 00:26:13.720 Mustafa Raja: A data ingestion request from,
267 00:26:14.220 ⇒ 00:26:20.640 Mustafa Raja: default. So I have, added the data in MotherDuck, I’m just going to stitch that data with…
268 00:26:21.200 ⇒ 00:26:27.310 Mustafa Raja: With, with our current database that we have, connected with, Omni.
269 00:26:28.500 ⇒ 00:26:35.829 Mustafa Raja: And yeah, we also received the harmonic data for 178, so yeah, I’ll be working on that today.
270 00:26:36.810 ⇒ 00:26:38.220 Awaish Kumar: Okay. And this is pretty much…
271 00:26:40.670 ⇒ 00:26:42.920 Awaish Kumar: Okay, so these both are in progress.
272 00:26:43.380 ⇒ 00:26:52.639 Mustafa Raja: Yeah, yeah, 201, I’m working on it right now, so it shouldn’t take more than 30 minutes for me to complete this, so I’ll just update this to…
273 00:26:53.140 ⇒ 00:26:54.380 Mustafa Raja: internal review.
274 00:26:54.730 ⇒ 00:26:56.129 Mustafa Raja: Okay. Once I’m done.
275 00:26:56.820 ⇒ 00:26:57.600 Mustafa Raja: Okay.
276 00:26:58.170 ⇒ 00:26:59.109 Awaish Kumar: Okay, yep.
277 00:27:01.300 ⇒ 00:27:03.390 Awaish Kumar: We can then go operate.
278 00:27:18.330 ⇒ 00:27:22.420 Awaish Kumar: So, Ashwini, did we update the script in GitHub?
279 00:27:23.630 ⇒ 00:27:31.780 Ashwini Sharma: Yeah, the… no, there are a few more, things that… that I need to add to this script.
280 00:27:32.840 ⇒ 00:27:41.599 Ashwini Sharma: We can, configure. What I did was created one more catalog, and, did the same thing, like, roles, assigned.
281 00:27:41.800 ⇒ 00:27:45.499 Ashwini Sharma: Gave permission to the roles that have been already created.
282 00:27:45.690 ⇒ 00:27:53.780 Ashwini Sharma: One more thing that I’ve done on the… on the Snowflake side is, basically addition of a… let me just do that…
283 00:27:58.390 ⇒ 00:28:00.039 Awaish Kumar: Yeah, I can go on.
284 00:28:00.040 ⇒ 00:28:00.820 Ashwini Sharma: Model.
285 00:28:01.470 ⇒ 00:28:02.380 Ashwini Sharma: CTA.
286 00:28:03.890 ⇒ 00:28:13.150 Ashwini Sharma: A second… Yeah, so I’ve done, alter account set account ID token to true.
287 00:28:14.490 ⇒ 00:28:19.050 Ashwini Sharma: So, normally, like, what we do during dbt development is,
288 00:28:19.940 ⇒ 00:28:30.550 Ashwini Sharma: We use a browser-based authentication when you run dbt locally, right? And what it does is, depending on the number of threads that you have configured for the dbt models to work.
289 00:28:30.870 ⇒ 00:28:43.899 Ashwini Sharma: It will, open that many browser sessions where it will ask you to authenticate, and once you are authenticated with… on one browser, it… it allows you to… it’ll automatically pick up the authentication thing,
290 00:28:44.110 ⇒ 00:28:45.830 Ashwini Sharma: In other browser tabs.
291 00:28:46.260 ⇒ 00:28:47.850 Ashwini Sharma: But,
292 00:28:48.150 ⇒ 00:29:00.049 Ashwini Sharma: what happens is, every time you run dbt, it will open, like, I had given 4 threads, right? So it will open 4 threads, and then 4 tabs, where you have to click on that authenticate, right? And which is…
293 00:29:00.180 ⇒ 00:29:06.310 Ashwini Sharma: sort of frustrating. So in order to resolve that, what I had to do was, I ran a script in Snowflake.
294 00:29:06.420 ⇒ 00:29:23.549 Ashwini Sharma: where you set a configuration parameter in Snowflake, and that prevents, multiple… like, once you have authenticated, as long as that session lives, it will not ask you to authenticate. So, for a day, you’re good. Or if you remain active for, like, several hours, then maybe you’ll have to do it again, but it is on…
295 00:29:23.760 ⇒ 00:29:27.620 Ashwini Sharma: It doesn’t force you to authenticate every time you run a dbt script.
296 00:29:28.880 ⇒ 00:29:29.580 Awaish Kumar: Okay.
297 00:29:32.580 ⇒ 00:29:34.539 Awaish Kumar: But is it for service accounts?
298 00:29:38.010 ⇒ 00:29:44.430 Ashwini Sharma: No, it’s not for any account, right? It’s just a configuration parameter at the…
299 00:29:45.020 ⇒ 00:29:49.010 Ashwini Sharma: So, since I’m running it, right, it was at my account, I think.
300 00:29:50.540 ⇒ 00:29:51.300 Awaish Kumar: Okay.
301 00:29:57.380 ⇒ 00:29:58.739 Uttam Kumaran: So you’re running this locally?
302 00:29:59.860 ⇒ 00:30:01.990 Ashwini Sharma: Yeah, yeah. Oh, this one?
303 00:30:02.870 ⇒ 00:30:06.880 Ashwini Sharma: Yes, you can run it locally, yeah, yeah, the script that… yeah.
304 00:30:06.880 ⇒ 00:30:08.540 Awaish Kumar: Script, like, you could run it…
305 00:30:10.920 ⇒ 00:30:20.990 Uttam Kumaran: So, can we talk about the, the roles for reading and writing into… the various… environments?
306 00:30:25.370 ⇒ 00:30:26.460 Awaish Kumar: Okay. Like…
307 00:30:26.460 ⇒ 00:30:27.940 Uttam Kumaran: Do you have that section?
308 00:30:28.740 ⇒ 00:30:31.530 Ashwini Sharma: Yeah, it’s there somewhere, right?
309 00:30:33.440 ⇒ 00:30:34.100 Ashwini Sharma: Right over here.
310 00:30:34.100 ⇒ 00:30:42.780 Uttam Kumaran: So, when I first wrote this, I mainly thought of, like, a few higher-level roles, like, for example, we need to have role developer.
311 00:30:43.440 ⇒ 00:30:45.919 Uttam Kumaran: Role data analyst.
312 00:30:46.460 ⇒ 00:30:48.370 Uttam Kumaran: And sort of think about, like.
313 00:30:48.970 ⇒ 00:30:55.529 Uttam Kumaran: Right, so I wrote this, which is, like, role developer, but then… We probably also need roll…
314 00:30:55.760 ⇒ 00:30:56.720 Awaish Kumar: Yeah, that’s…
315 00:30:56.960 ⇒ 00:30:59.650 Uttam Kumaran: I… I don’t know, what other… what other sort of, like…
316 00:31:00.710 ⇒ 00:31:04.830 Uttam Kumaran: I don’t know what you call this, you know, what other type of roles like that, higher level roles do we need?
317 00:31:07.900 ⇒ 00:31:13.020 Awaish Kumar: Yeah, we… We need a developer, and we need an analyst.
318 00:31:16.790 ⇒ 00:31:22.410 Awaish Kumar: We can read data… Okay.
319 00:31:24.020 ⇒ 00:31:28.950 Ashwini Sharma: So, I think, I think, let me put it in a different perspective, right?
320 00:31:29.180 ⇒ 00:31:47.600 Ashwini Sharma: Essentially, what you need is a reader role and a writer role, right? These are the things that you need. And if you create these two top-level roles, then what you can do is you can create additional roles, whatever you need, right? Depending on the functional team that is required to read certain data in. So, there will be one particular role which is
321 00:31:47.770 ⇒ 00:31:54.909 Ashwini Sharma: a right role which is going to be there with the admins, it is going to be there with a dbt developer who is going to write transformations, right?
322 00:31:55.060 ⇒ 00:31:59.509 Ashwini Sharma: And apart from that, it’s… everything else is just a reader roll, so… so…
323 00:31:59.510 ⇒ 00:32:08.780 Awaish Kumar: This, what’s happening is that we are trying to restrict all the changes with staging and production with service accounts.
324 00:32:08.990 ⇒ 00:32:14.859 Awaish Kumar: So any change… Can only be made, like, through service accounts.
325 00:32:15.060 ⇒ 00:32:15.980 Awaish Kumar: Via…
326 00:32:15.980 ⇒ 00:32:16.570 Uttam Kumaran: Yeah.
327 00:32:16.950 ⇒ 00:32:17.340 Awaish Kumar: So…
328 00:32:17.340 ⇒ 00:32:21.959 Uttam Kumaran: But what about, like, for example, data analysts should have read access to…
329 00:32:21.960 ⇒ 00:32:25.079 Awaish Kumar: This is the role developer, which can only.
330 00:32:25.080 ⇒ 00:32:26.040 Uttam Kumaran: Oh.
331 00:32:26.190 ⇒ 00:32:27.030 Awaish Kumar: Staging and prod.
332 00:32:27.030 ⇒ 00:32:27.670 Uttam Kumaran: Okay.
333 00:32:27.670 ⇒ 00:32:29.680 Awaish Kumar: But it can’t make changes to those.
334 00:32:30.060 ⇒ 00:32:33.660 Awaish Kumar: from UI. You can read from UI, but you can’t…
335 00:32:33.770 ⇒ 00:32:36.620 Awaish Kumar: Make any, any, like, create new, for example.
336 00:32:36.620 ⇒ 00:32:37.290 Uttam Kumaran: Okay, okay.
337 00:32:37.290 ⇒ 00:32:39.079 Awaish Kumar: Well, into production, you can’t do that.
338 00:32:39.230 ⇒ 00:32:46.520 Awaish Kumar: But you can do that in dev, like, if you want to read from prod and do something and write in dev, you can do that.
339 00:32:48.510 ⇒ 00:32:49.640 Awaish Kumar: In the dev…
340 00:32:49.640 ⇒ 00:32:51.409 Uttam Kumaran: Okay. Okay, okay.
341 00:32:52.260 ⇒ 00:32:55.950 Awaish Kumar: So, role developer is configured like that.
342 00:32:56.100 ⇒ 00:33:06.860 Awaish Kumar: It can read and write in dev environment, but only can read from staging and prod, and only changes in staging and prod happening via… happening via, like, dbt.
343 00:33:07.770 ⇒ 00:33:08.390 Uttam Kumaran: Okay.
344 00:33:08.560 ⇒ 00:33:11.070 Ashwini Sharma: Who will be the members of Role Developer?
345 00:33:12.470 ⇒ 00:33:13.350 Awaish Kumar: Like, everyone.
346 00:33:13.350 ⇒ 00:33:13.790 Uttam Kumaran: of us.
347 00:33:13.790 ⇒ 00:33:17.579 Demilade Agboola: Like, yeah, the DE team. DEA team.
348 00:33:18.540 ⇒ 00:33:20.270 Ashwini Sharma: Okay, and how about, like…
349 00:33:20.270 ⇒ 00:33:24.170 Awaish Kumar: Analyst cannot access, like, every analyst will need this, because
350 00:33:24.980 ⇒ 00:33:28.479 Awaish Kumar: They will read production data, and they might have to write some time.
351 00:33:28.480 ⇒ 00:33:37.339 Ashwini Sharma: Yeah, that is where I want to come in, right? Because analysts will be specific to different departments, and different departments may have, you know.
352 00:33:37.530 ⇒ 00:33:45.280 Ashwini Sharma: different access permissions, right? For example, there could be a finance department where an analyst is working with a finance team. He may not
353 00:33:45.280 ⇒ 00:34:00.209 Ashwini Sharma: have insights into sales data, right? I mean, I’m giving a random example, right? And maybe he should not even see sales data, right? Similarly, somebody who is working in operations might not want to see finance data, you might want to restrict it, right?
354 00:34:01.110 ⇒ 00:34:01.760 Awaish Kumar: Yes, boy.
355 00:34:02.390 ⇒ 00:34:03.569 Demilade Agboola: Don’t we, baby.
356 00:34:04.410 ⇒ 00:34:05.619 Awaish Kumar: Yeah, go ahead.
357 00:34:06.080 ⇒ 00:34:14.470 Demilade Agboola: I was just gonna say about that sort of access restriction will be, like, it’s… it will be by… based… it’ll be based on the function of the team.
358 00:34:14.469 ⇒ 00:34:28.809 Demilade Agboola: And so it’ll be… so maybe marketing, for instance, cannot see, customers’ data. They can only see the sales, like, the number of sales, like, they can see certain aggregator models. But I don’t know if we can necessarily create a…
359 00:34:28.850 ⇒ 00:34:37.110 Demilade Agboola: a role for it right now, until, like, it’s kind of on a case-by-case basis for the different, teams.
360 00:34:37.159 ⇒ 00:34:40.579 Demilade Agboola: So if we know how we want to, like, partition the data.
361 00:34:40.870 ⇒ 00:34:44.259 Demilade Agboola: Such that only certain people have access to certain data, sure.
362 00:34:45.230 ⇒ 00:34:53.679 Awaish Kumar: So, from, like, Brainforge side, normally we don’t have a, like, big team of analysts who are working on different domains, part clients.
363 00:34:53.830 ⇒ 00:35:01.750 Awaish Kumar: So we might have only one person who… or at max to… doing data analysis on… on all these different…
364 00:35:01.920 ⇒ 00:35:03.000 Awaish Kumar: datasets.
365 00:35:03.570 ⇒ 00:35:09.690 Awaish Kumar: It… yeah. Then it comes to client, like, if client brings in some of their…
366 00:35:10.150 ⇒ 00:35:13.589 Awaish Kumar: Data people to come in and do some analysis.
367 00:35:14.030 ⇒ 00:35:17.090 Awaish Kumar: Then it’s really customized to a specific client.
368 00:35:27.250 ⇒ 00:35:33.700 Uttam Kumaran: Yeah, I mean, the other thing is, like, I just don’t know whether we are gonna have analyst requirements to create assets.
369 00:35:33.850 ⇒ 00:35:37.899 Uttam Kumaran: and those assets get read by the BI tool.
370 00:35:39.890 ⇒ 00:35:48.039 Uttam Kumaran: So, I don’t know, I think we leave this for now. I don’t think, like, maybe when we get a request like that, we can modify this.
371 00:35:48.440 ⇒ 00:35:56.779 Awaish Kumar: So, what… what we have done in Eden, normally, we… analyst goes in, and maybe, like, Annie was kind of…
372 00:35:57.160 ⇒ 00:36:03.539 Awaish Kumar: trying to read different tables and come up with some structure, but then they will ask AE to, like.
373 00:36:03.880 ⇒ 00:36:12.940 Awaish Kumar: put it in dbt, and with this dbt structure, and then make it a marked table, finally, to be read in BI tool.
374 00:36:13.130 ⇒ 00:36:16.220 Awaish Kumar: So they were not directly connecting any of their work.
375 00:36:19.020 ⇒ 00:36:25.860 Awaish Kumar: Okay. Unless it happens in Tableau itself, like, if they can calculate… they are calcul… They are, like,
376 00:36:26.390 ⇒ 00:36:31.050 Awaish Kumar: implementing calculated fields or things like that, they can do in PI tool.
377 00:36:31.180 ⇒ 00:36:37.690 Awaish Kumar: But in terms of writing queries, they can just share their queries and structure and context with us, and…
378 00:36:37.890 ⇒ 00:36:39.720 Awaish Kumar: We can make that a table for them.
379 00:36:42.820 ⇒ 00:36:43.410 Uttam Kumaran: Okay.
380 00:36:47.320 ⇒ 00:36:50.299 Awaish Kumar: Yeah, that’s what we have been following at the end.
381 00:36:52.020 ⇒ 00:36:52.920 Awaish Kumar: Okay.
382 00:36:54.000 ⇒ 00:37:04.839 Awaish Kumar: So, I think, like, I don’t know, like, Ashwini, if you’re working on some specific things, because you are… now that we are hosting dbt in Snowflake.
383 00:37:06.990 ⇒ 00:37:14.080 Awaish Kumar: You can put that script as well in GitHub, but, like, if this… if this was working, we can put this one also in GitHub.
384 00:37:14.930 ⇒ 00:37:18.729 Ashwini Sharma: You mean, give it to the client?
385 00:37:19.010 ⇒ 00:37:22.249 Awaish Kumar: No, no, in our internal Brainforce data platform.
386 00:37:22.790 ⇒ 00:37:26.769 Ashwini Sharma: Yeah, yeah, yeah, I’ll put the changes that I’ve done on Snowflake.
387 00:37:27.220 ⇒ 00:37:29.660 Ashwini Sharma: And append it to the script.
388 00:37:30.510 ⇒ 00:37:34.350 Awaish Kumar: Okay, yeah, but they are not, like, specific, right? Cloudy-specific.
389 00:37:34.680 ⇒ 00:37:37.620 Ashwini Sharma: No, they’re not client-specific.
390 00:37:38.250 ⇒ 00:37:38.920 Awaish Kumar: Okay.
391 00:37:44.600 ⇒ 00:37:52.250 Uttam Kumaran: Okay, I feel like, yeah, Ashwini, I think you’re now on Magic Spoon, Eden, and.
392 00:37:53.510 ⇒ 00:37:54.110 Ashwini Sharma: It is.
393 00:37:54.110 ⇒ 00:37:58.240 Uttam Kumaran: So I think it’s up to you to sort of keep track of your time.
394 00:37:58.410 ⇒ 00:38:10.529 Uttam Kumaran: Of course, like, Magic Spoon is new, so don’t worry about, like, rushing. Make sure to finish out the things that you’ve already signed up for at the start of this week, which is the Eden work, which is the CTA work.
395 00:38:10.530 ⇒ 00:38:15.509 Ashwini Sharma: What really I want to make clear to folks is, like, new clients are gonna come, and we’re gonna roll with the punches.
396 00:38:15.510 ⇒ 00:38:20.450 Uttam Kumaran: As the company grows, we’re not gonna have, like, midweek
397 00:38:20.590 ⇒ 00:38:27.480 Uttam Kumaran: client starts like this. We’ll start to push out. This contract has just been on hold, and then they randomly got signed, and…
398 00:38:27.630 ⇒ 00:38:36.480 Uttam Kumaran: it just makes a really good impression on a client that we’re kicking off, but really make sure to finish out those two, even if the Magic Spoon work
399 00:38:36.630 ⇒ 00:38:54.359 Uttam Kumaran: like, you can only spend an hour today, or maybe you have to do it tomorrow, or you do it over the… on Monday, no problem, right? So I want to just say that out loud. Don’t want you to feel like, okay, I have all these things. The biggest thing, the way to buy time is just talk in Slack with them, right? Like.
400 00:38:54.730 ⇒ 00:39:04.720 Uttam Kumaran: just work, it’s like… when you’re in a company, right, work is only the coding. But for us, we’re a consultant.
401 00:39:04.720 ⇒ 00:39:20.650 Uttam Kumaran: So, sending messages in Slack, asking questions, reading, that’s all work. And so that’s fine if that’s all you get to, and you just have good questions. It will buy us that time. So, just keep that in mind in case you’re… you’re… you feel like you’re juggling with things.
402 00:39:23.230 ⇒ 00:39:23.990 Ashwini Sharma: Sure.
403 00:39:26.980 ⇒ 00:39:34.419 Uttam Kumaran: And then, Mustafa, yeah, I would like to get the default stuff done. Like, the harmonic, and then the… just, like, close that out.
404 00:39:34.530 ⇒ 00:39:36.079 Uttam Kumaran: So, if we could do that.
405 00:39:36.500 ⇒ 00:39:37.190 Mustafa Raja: Yep.
406 00:39:37.190 ⇒ 00:39:41.450 Uttam Kumaran: Today, and just wrap it up, that would be… Fantastic.
407 00:39:41.590 ⇒ 00:39:42.130 Mustafa Raja: Okay.
408 00:39:42.680 ⇒ 00:39:45.570 Uttam Kumaran: And then that way, I can have you help me on data engineering stuff.
409 00:39:47.740 ⇒ 00:39:50.589 Uttam Kumaran: And then Awash, it looks like we may need to…
410 00:39:51.400 ⇒ 00:39:58.130 Uttam Kumaran: We may need to consider, like, thinking about more analytics, AE help.
411 00:39:58.570 ⇒ 00:40:06.230 Uttam Kumaran: So maybe we can talk about that sometime over the next two weeks. I feel like we’re basically at capacity at this point.
412 00:40:06.930 ⇒ 00:40:13.240 Uttam Kumaran: So I’m not gonna… I’m not gonna hire… I’m not gonna assign more clients, I promise you. But, like…
413 00:40:13.640 ⇒ 00:40:14.929 Uttam Kumaran: They’re gonna come.
414 00:40:15.110 ⇒ 00:40:22.300 Uttam Kumaran: And so, I think we… let’s just… maybe me and you can talk about, like… I mean, ideally, my… my goal is to…
415 00:40:22.470 ⇒ 00:40:27.849 Uttam Kumaran: Demolade, Ashwini, you, I want you guys to focus on, like, the newest
416 00:40:27.950 ⇒ 00:40:42.620 Uttam Kumaran: toughest clients, and then underneath you, as, like, a client matures, we can start to loop in either junior people or new people, right? It’s really hard, like, I mean, Ashwini, you’re more senior, so I felt comfortable, like.
417 00:40:42.740 ⇒ 00:40:49.009 Uttam Kumaran: throwing you into stuff, but still, like, I’d like us four to sort of hit the first
418 00:40:49.280 ⇒ 00:41:00.730 Uttam Kumaran: the new clients first, and then we can suss it out and bring in, you know, more people, you know? So, that’s sort of my hope, especially now that we have the four of us sort of in this crew.
419 00:41:00.880 ⇒ 00:41:17.459 Uttam Kumaran: And then let’s see, like, I think… I think Mustafa and Casey both have some ability to do some data engineering work, but of course they’re new, so I don’t want to… I don’t want to have them do that without, you know, some more clear guidance and some safety net, you know?
420 00:41:19.730 ⇒ 00:41:20.740 Awaish Kumar: Okay, yeah.
421 00:41:20.740 ⇒ 00:41:21.390 Ashwini Sharma: So…
422 00:41:22.220 ⇒ 00:41:22.770 Uttam Kumaran: Cool.
423 00:41:23.780 ⇒ 00:41:26.250 Uttam Kumaran: Okay. Alright, thank you guys.
424 00:41:26.460 ⇒ 00:41:27.849 Ashwini Sharma: Thank you. Thank you.
425 00:41:27.980 ⇒ 00:41:29.140 Uttam Kumaran: Talk soon. Bye.
426 00:41:29.140 ⇒ 00:41:29.550 Mustafa Raja: Thank you.
427 00:41:29.550 ⇒ 00:41:30.770 Demilade Agboola: Thank you. Bye.