Meeting Title: DE-AE Standup Date: 2025-12-17 Meeting participants: Awaish Kumar, Uttam Kumaran, Mustafa Raja, Ashwini Sharma, Elizah Joy, Rico Rejoso
WEBVTT
1 00:02:42.310 ⇒ 00:02:43.240 Uttam Kumaran: I wish.
2 00:02:46.480 ⇒ 00:02:47.120 Awaish Kumar: Hello.
3 00:02:48.550 ⇒ 00:02:53.939 Uttam Kumaran: I think Demolade is out. He just said he felt a little sick this morning.
4 00:02:56.210 ⇒ 00:02:57.590 Awaish Kumar: There is outreach.
5 00:02:58.680 ⇒ 00:03:00.190 Uttam Kumaran: Yeah, I think just this morning.
6 00:03:02.320 ⇒ 00:03:03.060 Uttam Kumaran: Okay.
7 00:03:46.810 ⇒ 00:03:54.110 Uttam Kumaran: Yeah, a lot of… some of the folks are now in the other meeting, so I don’t think AI team will be here anymore, because we’re doing an AI one later, so…
8 00:03:57.520 ⇒ 00:04:01.699 Awaish Kumar: Yeah, I can then press start.
9 00:04:23.850 ⇒ 00:04:32.150 Awaish Kumar: So, we… yeah, we can start, start with Hedra. So, I worked on, yesterday, debugging.
10 00:04:33.280 ⇒ 00:04:43.519 Awaish Kumar: the, the, like, the stale data, and also I added, last login thing to DIM user, and those updates are communicated to the client as well.
11 00:04:44.010 ⇒ 00:04:44.950 Awaish Kumar: Okay.
12 00:04:45.710 ⇒ 00:04:51.969 Awaish Kumar: Today, I’m looking to fix one of the bugs, like, production jobs are failing.
13 00:04:52.230 ⇒ 00:05:00.080 Awaish Kumar: Because of the user generation table that has some errors, so I will take a look into those.
14 00:05:00.200 ⇒ 00:05:07.310 Awaish Kumar: And after that, I will also maybe, if I have time, I can… finish, this…
15 00:05:07.790 ⇒ 00:05:13.620 Awaish Kumar: 36 number ticket. So, yeah, these are the goals for this client.
16 00:05:17.210 ⇒ 00:05:17.940 Awaish Kumar: That’s it.
17 00:05:17.940 ⇒ 00:05:23.659 Uttam Kumaran: Yeah, on, on, I bought it.
18 00:05:24.130 ⇒ 00:05:31.140 Uttam Kumaran: defaults. Doesn’t look like there’s much work coming from, so I wonder if, like.
19 00:05:31.520 ⇒ 00:05:36.740 Uttam Kumaran: I mean, up to you if you want to loop a demo lobby in on any hill. So…
20 00:05:40.250 ⇒ 00:05:41.299 Awaish Kumar: Okay.
21 00:05:46.700 ⇒ 00:05:47.880 Awaish Kumar: Okay, yeah.
22 00:05:48.280 ⇒ 00:05:52.050 Awaish Kumar: So, we can now start with CTA.
23 00:05:53.050 ⇒ 00:05:53.650 Uttam Kumaran: Okay.
24 00:05:54.150 ⇒ 00:05:55.610 Awaish Kumar: Yeah, Aishwini, you can go ahead.
25 00:05:55.610 ⇒ 00:06:02.869 Ashwini Sharma: Yeah, so for the report automation, that is what I worked on today, and the mart is ready.
26 00:06:03.090 ⇒ 00:06:05.019 Ashwini Sharma: I’ll share it with,
27 00:06:05.260 ⇒ 00:06:23.829 Ashwini Sharma: Catherine, in the channel, and right now it’s in the dev schema. I mean, I’m in the dev database, but as I work on the CTA14 issue and the CI-CD pipelines already, that will be moved over to the correct location in the broad catalog.
28 00:06:24.140 ⇒ 00:06:30.400 Ashwini Sharma: Right. And right now, since the overall CICD automation is not there, I’ll have to manually
29 00:06:30.570 ⇒ 00:06:36.200 Ashwini Sharma: trigger the job on a daily basis, which I’ll be doing until I get ready with the CICD.
30 00:06:39.110 ⇒ 00:06:40.960 Uttam Kumaran: I guess my other…
31 00:06:42.350 ⇒ 00:06:43.530 Ashwini Sharma: Junior?
32 00:06:43.530 ⇒ 00:06:49.789 Uttam Kumaran: Did you use ours? Like, our previous, or did you want to… Run through that.
33 00:06:49.790 ⇒ 00:06:55.869 Ashwini Sharma: Otam… I don’t know if it is me, or your voice seems to be clacking, man.
34 00:06:55.870 ⇒ 00:06:56.640 Uttam Kumaran: How’s this?
35 00:06:56.640 ⇒ 00:06:58.109 Awaish Kumar: So, what is this cutting?
36 00:06:58.950 ⇒ 00:07:00.099 Uttam Kumaran: How’s this? Better?
37 00:07:02.170 ⇒ 00:07:03.710 Ashwini Sharma: Speak something better?
38 00:07:03.710 ⇒ 00:07:04.220 Uttam Kumaran: Hello?
39 00:07:04.260 ⇒ 00:07:05.780 Ashwini Sharma: Yeah, yeah, yeah, looks better, yeah.
40 00:07:05.780 ⇒ 00:07:08.839 Uttam Kumaran: Okay, sorry, I was just getting a glass of water.
41 00:07:08.840 ⇒ 00:07:09.570 Ashwini Sharma: Nicious.
42 00:07:09.950 ⇒ 00:07:17.089 Uttam Kumaran: No, I was gonna ask about, the Snowflake setup. Like, I don’t know if we… if we ended up doing,
43 00:07:17.530 ⇒ 00:07:22.360 Uttam Kumaran: I don’t know if we ended up running through our typical script for Snowflake initialization.
44 00:07:22.570 ⇒ 00:07:23.280 Ashwini Sharma: We did.
45 00:07:23.280 ⇒ 00:07:26.659 Uttam Kumaran: We did… I mean, 90% of…
46 00:07:26.660 ⇒ 00:07:30.909 Ashwini Sharma: the script is utilized, I had to add certain additional stuff.
47 00:07:31.150 ⇒ 00:07:34.320 Ashwini Sharma: to make it, you know, specific to CTA.
48 00:07:34.650 ⇒ 00:07:43.159 Ashwini Sharma: the way we are doing it. So, I will enhance that script for CTA-specific things. It’s already enhanced, and…
49 00:07:43.310 ⇒ 00:07:45.889 Ashwini Sharma: I’ll share that with, Catherine as well.
50 00:07:50.660 ⇒ 00:07:52.719 Awaish Kumar: Okay, what script we are talking about?
51 00:07:53.590 ⇒ 00:08:02.670 Ashwini Sharma: So, it’s the script that you had generated some time back we were testing, right? Which created, you know, roles and databases and…
52 00:08:02.840 ⇒ 00:08:04.880 Ashwini Sharma: Service accounts and all those stuff.
53 00:08:08.750 ⇒ 00:08:14.150 Ashwini Sharma: Sorry, I’m not able to hear anyone. I think it’s my side. Let me rejoin.
54 00:08:16.070 ⇒ 00:08:17.810 Ashwini Sharma: Avish, are you able to hear me?
55 00:08:17.810 ⇒ 00:08:18.839 Awaish Kumar: Yeah, I can.
56 00:08:20.040 ⇒ 00:08:25.230 Ashwini Sharma: Okay, I can hear you too. I think, Otham, there might be something wrong with your sound.
57 00:08:26.490 ⇒ 00:08:27.420 Awaish Kumar: Yeah, I do.
58 00:08:29.310 ⇒ 00:08:35.420 Awaish Kumar: Okay, like, the… for this week, we have these three tasks… tasks… tasks to finish, and yeah, that’s the goal.
59 00:08:36.000 ⇒ 00:08:41.590 Awaish Kumar: We can move on… Is anyone else working on this client? Yeah, Sam?
60 00:08:41.750 ⇒ 00:08:42.920 Awaish Kumar: Live alone.
61 00:08:44.200 ⇒ 00:08:46.989 Awaish Kumar: They are going to discuss an AI team, yeah.
62 00:08:47.480 ⇒ 00:08:51.720 Uttam Kumaran: Yeah, they’re gonna discuss the other clients there, so we can just focus on data stuff today.
63 00:08:51.820 ⇒ 00:08:56.170 Uttam Kumaran: I do have some other items, and if we finish quickly, we can work on.
64 00:08:58.080 ⇒ 00:09:03.640 Awaish Kumar: Okay, Delphor… Element, yeah, we…
65 00:09:04.450 ⇒ 00:09:06.520 Awaish Kumar: Yeah, I will be working on just…
66 00:09:06.820 ⇒ 00:09:11.199 Awaish Kumar: Asking for different connections, connector setups.
67 00:09:11.620 ⇒ 00:09:18.459 Awaish Kumar: For those three weird polyatomic don’t have the connector, I will ask them, what do they need?
68 00:09:18.690 ⇒ 00:09:20.590 Awaish Kumar: From us, or clients, or…
69 00:09:20.590 ⇒ 00:09:23.280 Uttam Kumaran: The Amazon one is gonna be the most important there.
70 00:09:24.460 ⇒ 00:09:26.149 Awaish Kumar: Yeah, I have…
71 00:09:26.240 ⇒ 00:09:30.509 Uttam Kumaran: Share that the message, but, like, they can ask for, like.
72 00:09:30.590 ⇒ 00:09:32.540 Awaish Kumar: credentials, it, like.
73 00:09:32.540 ⇒ 00:09:34.950 Uttam Kumaran: Oh, yeah, yeah, yeah, of course, of course, of course, yeah.
74 00:09:37.040 ⇒ 00:09:37.680 Awaish Kumar: Yeah.
75 00:09:38.200 ⇒ 00:09:48.630 Awaish Kumar: So I will see if they want us to communicate that with Elevate, or they are going to directly ask in Elevate, like, the shared channel for those credentials.
76 00:09:51.100 ⇒ 00:09:59.860 Awaish Kumar: So, yeah, let’s see what they say, and apart from that, I will be working on DAG and the… and the other things you have said,
77 00:10:00.250 ⇒ 00:10:09.360 Awaish Kumar: around, metrics dictionary collectors, and, updating the… GitHub repository, basically.
78 00:10:13.280 ⇒ 00:10:13.870 Uttam Kumaran: Okay.
79 00:10:15.170 ⇒ 00:10:20.389 Awaish Kumar: Yeah, I… Don’t think we have anything else on elevation?
80 00:10:21.210 ⇒ 00:10:26.189 Awaish Kumar: Also, then, we don’t have anything on herbal stems.
81 00:10:27.910 ⇒ 00:10:32.830 Awaish Kumar: We can move on to… Eden.
82 00:10:37.060 ⇒ 00:10:40.839 Awaish Kumar: Yeah, actually, like, have you worked on Eden?
83 00:10:40.840 ⇒ 00:10:45.889 Ashwini Sharma: No, now that this report is out, I’ll be working on Eden stuff. There are
84 00:10:46.180 ⇒ 00:10:49.040 Ashwini Sharma: 3 or 2 tickets… 3 tickets assigned to me.
85 00:10:49.220 ⇒ 00:10:54.760 Ashwini Sharma: Yeah, I have to work on that, holidays thing, and the other two things are…
86 00:10:55.240 ⇒ 00:10:59.760 Ashwini Sharma: that catalyst thing, right? We’re planning to send,
87 00:11:00.420 ⇒ 00:11:06.250 Ashwini Sharma: Some data to Affluence. Affluence and… some spent data.
88 00:11:07.870 ⇒ 00:11:10.019 Ashwini Sharma: You were just a screamer. Okay, yeah.
89 00:11:10.020 ⇒ 00:11:17.489 Awaish Kumar: data, you are going to find it in BigQuery somewhere. Right. You have to push to… push… push it to Northbeam, and that’s…
90 00:11:18.110 ⇒ 00:11:22.309 Awaish Kumar: Like, that’s, like, all these 3 tickets are targeted, like, by, I don’t know, week.
91 00:11:22.640 ⇒ 00:11:23.220 Ashwini Sharma: Yeah.
92 00:11:29.050 ⇒ 00:11:36.970 Awaish Kumar: Yeah, on the devil audience plate, we… I did have watch,
93 00:11:39.280 ⇒ 00:11:48.660 Awaish Kumar: I can move here. So yeah, it was just a PR he created for this one, and it’s in review. I will review and close it.
94 00:11:49.290 ⇒ 00:11:53.840 Awaish Kumar: After that, yeah, for Eden, we only have these things to close out.
95 00:11:54.560 ⇒ 00:11:55.540 Awaish Kumar: For this week.
96 00:11:58.850 ⇒ 00:12:02.429 Awaish Kumar: And then for… Demi’s not here, I don’t know.
97 00:12:03.790 ⇒ 00:12:04.949 Awaish Kumar: If there are any problems.
98 00:12:04.950 ⇒ 00:12:10.380 Uttam Kumaran: I’ll… I messaged him already this morning, so… Yeah, no problem there.
99 00:12:11.100 ⇒ 00:12:14.170 Awaish Kumar: Okay, yeah, and then we have Usva here, if…
100 00:12:14.790 ⇒ 00:12:16.750 Awaish Kumar: He wants to share any updates.
101 00:12:18.170 ⇒ 00:12:19.020 Mustafa Raja: Yes.
102 00:12:21.860 ⇒ 00:12:35.599 Mustafa Raja: So, for 178, I have the comparison doc ready. I’ll do another doc explaining how we can navigate around the data fields that we have for each of these clients.
103 00:12:35.760 ⇒ 00:12:39.730 Mustafa Raja: And then for… if we come back…
104 00:12:41.770 ⇒ 00:12:47.449 Mustafa Raja: No, no, no, let’s keep that in progress, because I need to attach another dock.
105 00:12:49.140 ⇒ 00:12:50.140 Mustafa Raja: I’ll move it.
106 00:12:50.470 ⇒ 00:12:51.170 Mustafa Raja: Yeah.
107 00:12:51.710 ⇒ 00:12:53.540 Mustafa Raja: Let’s keep that in progress.
108 00:12:53.970 ⇒ 00:12:59.160 Mustafa Raja: And then, if we go to 197, At the bottom.
109 00:12:59.340 ⇒ 00:13:09.900 Mustafa Raja: Yeah, so I worked on this, and we have to upload a deploy key, and then a payload URL with a secret for webhook.
110 00:13:10.200 ⇒ 00:13:18.600 Mustafa Raja: I wasn’t able to add that since I am not an admin, so, I have asked Victor to help me out with that.
111 00:13:18.770 ⇒ 00:13:21.580 Mustafa Raja: So, yeah, as soon as,
112 00:13:22.020 ⇒ 00:13:24.439 Mustafa Raja: Victor comes back to me with it.
113 00:13:24.910 ⇒ 00:13:27.720 Uttam Kumaran: I’ll be able to work on it.
114 00:13:28.350 ⇒ 00:13:29.020 Mustafa Raja: And we’re…
115 00:13:29.020 ⇒ 00:13:29.420 Uttam Kumaran: Okay.
116 00:13:29.420 ⇒ 00:13:30.840 Mustafa Raja: Yeah, this is pretty much it.
117 00:13:32.120 ⇒ 00:13:44.550 Mustafa Raja: And then, I also recorded, a loom for Demilade, that explains how we did, the enriched teams and the enriched members tables.
118 00:13:44.670 ⇒ 00:13:49.140 Mustafa Raja: I think we’ll have to… have to automate that.
119 00:13:49.480 ⇒ 00:13:55.769 Mustafa Raja: Because, we’ll have a lot of data coming in, and it, eventually a data stream, so…
120 00:13:56.370 ⇒ 00:13:58.750 Mustafa Raja: Yeah, we’ll look into that also.
121 00:14:01.200 ⇒ 00:14:01.840 Awaish Kumar: Okay.
122 00:14:03.540 ⇒ 00:14:05.199 Awaish Kumar: This is still blocked.
123 00:14:05.780 ⇒ 00:14:06.460 Awaish Kumar: Well, I…
124 00:14:06.460 ⇒ 00:14:11.589 Mustafa Raja: Yeah, this is, yeah, this is blocked. We don’t… we haven’t had any…
125 00:14:11.760 ⇒ 00:14:13.580 Mustafa Raja: Updates from default team.
126 00:14:14.730 ⇒ 00:14:15.360 Awaish Kumar: Okay.
127 00:14:16.990 ⇒ 00:14:20.930 Awaish Kumar: Okay, that’s all then for data work.
128 00:14:21.300 ⇒ 00:14:22.310 Awaish Kumar: Today.
129 00:14:24.980 ⇒ 00:14:33.039 Uttam Kumaran: Okay, cool. One thing I wanted to talk to you guys about, and maybe, Eliza, I mentioned this to you, is just about, like, playbooks.
130 00:14:33.180 ⇒ 00:14:40.710 Uttam Kumaran: Eliza, did you get my message this morning? Did that make sense? I would love to, maybe we could chat about that with this crew.
131 00:14:42.130 ⇒ 00:14:48.100 Elizah Joy: Yes, I did, saw your message on… Slack about that.
132 00:14:49.450 ⇒ 00:14:56.500 Uttam Kumaran: So, yeah, do you wanna… do you wanna pull that up, and maybe we can just have a conversation with everybody here about, like.
133 00:14:56.660 ⇒ 00:15:03.780 Uttam Kumaran: What those playbooks are that we want to create, and maybe, you know, while we have this crew here, we can start to list some of them.
134 00:15:03.990 ⇒ 00:15:05.369 Uttam Kumaran: What do you think?
135 00:15:06.430 ⇒ 00:15:12.240 Elizah Joy: Yeah, I think, yeah, that’s a great idea. Let me… Pull that up, because.
136 00:15:12.770 ⇒ 00:15:15.030 Uttam Kumaran: Sorry, I didn’t give you a heads up, but we had some time.
137 00:15:16.380 ⇒ 00:15:21.690 Elizah Joy: That’s fine. Should I pull up the one that we have in…
138 00:15:21.960 ⇒ 00:15:26.510 Elizah Joy: the documentations, I think, that’s the playbooks that you are talking about, right?
139 00:15:26.510 ⇒ 00:15:38.610 Uttam Kumaran: Exactly, yeah, we can pull that up. I think, maybe to set the stage for everybody else while Eliza pulls that up, I’m… we… you know, remember Awaish, we had this… tried to do this thing about reusable playbooks?
140 00:15:38.710 ⇒ 00:15:56.300 Uttam Kumaran: And we never, like, sort of, like, finish that up. I think, you know, Eliza’s been helping to do a lot of work on the SOP side that I would like her to start to take a stab at creating SOPs for the most common, you know, playbooks that we run.
141 00:15:56.510 ⇒ 00:15:58.140 Uttam Kumaran: So, what is a playbook?
142 00:15:58.350 ⇒ 00:16:05.090 Uttam Kumaran: Snowflake setup, DVC setup, Polyatomic setup, like…
143 00:16:05.340 ⇒ 00:16:11.500 Uttam Kumaran: Shopify Marts, whatever, you know, like, the common things that we do on the data side,
144 00:16:11.600 ⇒ 00:16:16.609 Uttam Kumaran: So actually, Eliza, this is not related to this documentations one, this is more related to the…
145 00:16:16.610 ⇒ 00:16:17.260 Elizah Joy: Mmm, okay.
146 00:16:17.260 ⇒ 00:16:19.289 Uttam Kumaran: playbook. So if you go to Services.
147 00:16:19.520 ⇒ 00:16:22.960 Uttam Kumaran: You’ll see at the bottom of the services page, you’ll see…
148 00:16:23.400 ⇒ 00:16:25.789 Uttam Kumaran: A list of reusable playbooks.
149 00:16:27.310 ⇒ 00:16:28.300 Elizah Joy: Sit…
150 00:16:29.250 ⇒ 00:16:34.039 Uttam Kumaran: So you have to go back to the homepage, and you go to… you go to the services page, which,
151 00:16:35.010 ⇒ 00:16:35.800 Uttam Kumaran: Yeah.
152 00:16:36.600 ⇒ 00:16:39.930 Uttam Kumaran: So if you scroll down, you should see something called Reusable Epics.
153 00:16:48.960 ⇒ 00:17:00.420 Uttam Kumaran: Yeah, past this, I think. So, for example, these are all the services that we do, but within a service, we have several tasks, like, and so if you scroll down even further.
154 00:17:00.740 ⇒ 00:17:04.900 Uttam Kumaran: there is a place called Reusable Epics.
155 00:17:05.470 ⇒ 00:17:05.810 Elizah Joy: Okay.
156 00:17:05.810 ⇒ 00:17:07.220 Uttam Kumaran: Yeah. Thank you.
157 00:17:07.890 ⇒ 00:17:15.320 Uttam Kumaran: So, let’s… let’s go ahead and click into, like, one of them, which is, like, a product analytics playbook.
158 00:17:16.970 ⇒ 00:17:23.140 Uttam Kumaran: So, a good analogy for, okay, this… actually, like, go… maybe click… go to the actual,
159 00:17:23.380 ⇒ 00:17:27.380 Uttam Kumaran: Page, yeah, I don’t know why this is, like… Like this. That’s pretty.
160 00:17:27.710 ⇒ 00:17:30.650 Uttam Kumaran: But, think about this as, like.
161 00:17:31.480 ⇒ 00:17:47.229 Uttam Kumaran: the steps to build a car, right? We sell cars, but you need to build the frame, the engine, the seats, and then attach everything. All of those have steps to do that, and so right now, everybody’s… we’re building multiple cars, they come out…
162 00:17:47.260 ⇒ 00:17:52.719 Uttam Kumaran: Kind of the same, but they take a long time, and they could come out faster.
163 00:17:52.790 ⇒ 00:17:58.260 Uttam Kumaran: And when we go to sell the car, we know how long it’s gonna take, right? So we try to have these playbooks.
164 00:17:58.290 ⇒ 00:18:18.280 Uttam Kumaran: keep that, like, analogy in your head. So what you’re seeing here, these are, like, temp… these are, like, templates of the plays that our data team runs, and the data team, the AI team, and the strategy team all run different playbooks every day. Right? So the one goal I want to do is talk with… today, here, with
165 00:18:18.380 ⇒ 00:18:32.730 Uttam Kumaran: Mustafa, Weish, and Ashwini about, like, what are the various plays that we’re running on the data side, and we can just start to create, like, a list of those. And then, for you, Eliza, I think the goal is, one, to think about, like, what is the playbook
166 00:18:33.080 ⇒ 00:18:52.739 Uttam Kumaran: like, structure, and then how do we prioritize, right? So, as I mentioned, I want to prioritize… my opinion is that we prioritize based on how often we’re doing it, and the complexity, right? Those are likely the areas where there’s a lot of opportunity for standardization.
167 00:18:53.130 ⇒ 00:18:57.089 Uttam Kumaran: So I’ll pause there. Does that make sense to everybody? Any questions?
168 00:18:57.390 ⇒ 00:19:04.070 Awaish Kumar: I… Yeah, it does make sense, and like, I think it’s similar, we started with dbt and Snowflake, right?
169 00:19:05.370 ⇒ 00:19:06.189 Awaish Kumar: Do you really shouldn’.
170 00:19:06.190 ⇒ 00:19:06.970 Uttam Kumaran: Yeah.
171 00:19:07.210 ⇒ 00:19:10.570 Awaish Kumar: Snowflake, but then, like, there are quite a few there.
172 00:19:10.760 ⇒ 00:19:16.660 Awaish Kumar: like, just the same thing for different data warehouses. We need initialized.
173 00:19:16.660 ⇒ 00:19:17.440 Uttam Kumaran: Yes.
174 00:19:17.440 ⇒ 00:19:27.659 Awaish Kumar: for Redshift, and Mother Duck, like, which are commonly being used across our clients. And then for each, like, the for ingestion, like,
175 00:19:27.770 ⇒ 00:19:29.549 Awaish Kumar: We need a playbook to, like.
176 00:19:29.850 ⇒ 00:19:33.900 Awaish Kumar: set up in Jason for Shopify? What do you need? What different…
177 00:19:34.310 ⇒ 00:19:38.710 Awaish Kumar: Credentials you would need to do that, and how to do that.
178 00:19:39.070 ⇒ 00:19:40.549 Awaish Kumar: And things like that.
179 00:19:41.130 ⇒ 00:19:52.390 Awaish Kumar: And, like, that… like, there are, like, quite a, like, how… depends on how granular we want to go. There are quite a few steps that are, like, always reusable across clients.
180 00:19:54.200 ⇒ 00:20:06.230 Uttam Kumaran: I agree. So, I guess, like, Eliza, what do you… what do you think? Like, today, can we maybe on this call, like, you can take note of, like, the list of playbooks that we want to run, or, like, what’s helpful for you?
181 00:20:07.270 ⇒ 00:20:24.629 Elizah Joy: Yep, I think the lists for those playbooks that we want to have, I think as of the moment, so my knowledge is still, a bit limited on that, like the playbooks that we need to have, so I think that’ll be very helpful for me to figure out how we’re gonna,
182 00:20:25.400 ⇒ 00:20:27.880 Elizah Joy: Set up those playbooks in here.
183 00:20:28.790 ⇒ 00:20:38.949 Uttam Kumaran: So maybe let’s go to the data playbooks page, and this is just an old document, I think it looks like we wrote it in, like, March, March or something. So…
184 00:20:39.330 ⇒ 00:20:57.339 Uttam Kumaran: maybe today, what we can do is, if you want to just… we can write somewhere, we can just literally tell you what the list of common things are, and I don’t know if you want to make a table, or if you… if you prefer to do it all in Notion, then we can just start, and again, I think the big things for us to keep track of is, like.
185 00:20:57.520 ⇒ 00:21:01.570 Uttam Kumaran: today is I want to keep track of what the playbook is.
186 00:21:01.750 ⇒ 00:21:07.060 Uttam Kumaran: Like, who the… who the sort of subject matter expert is.
187 00:21:07.460 ⇒ 00:21:13.529 Uttam Kumaran: And then also talk about how often we do it. And so, maybe we can, in this meeting, we can just run through
188 00:21:14.670 ⇒ 00:21:19.549 Uttam Kumaran: run through those, or what do you think? Like, should… if you want to create the structure, we can all
189 00:21:19.740 ⇒ 00:21:22.840 Uttam Kumaran: Take a minute to… To work, like…
190 00:21:23.320 ⇒ 00:21:26.870 Uttam Kumaran: Async also to write there, because we can all type there, so…
191 00:21:27.990 ⇒ 00:21:34.420 Elizah Joy: Yeah, I think… yeah, let’s type those, playbooks that we want to have, so that I…
192 00:21:34.570 ⇒ 00:21:37.149 Elizah Joy: And then I could then organize it from there.
193 00:21:39.250 ⇒ 00:21:45.279 Uttam Kumaran: Okay, do you want to create a little table for everybody here, and then we can all spend, like, 5 minutes and just write stuff there?
194 00:21:45.800 ⇒ 00:21:46.350 Elizah Joy: Yep.
195 00:21:46.500 ⇒ 00:21:49.310 Elizah Joy: Let me just… I think.
196 00:21:51.730 ⇒ 00:21:52.339 Elizah Joy: Excuse me.
197 00:21:52.340 ⇒ 00:21:57.119 Uttam Kumaran: Ashwini, Mustafa, Rico, does that make sense? Like, what the goal is?
198 00:21:57.220 ⇒ 00:21:58.740 Uttam Kumaran: Backacay. Alright.
199 00:22:01.230 ⇒ 00:22:10.039 Uttam Kumaran: it’s just another way of thinking, like, we’re… since we’re in a consultancy, commonly, like, if you’re in a company, right, we only do, like… you’re not doing snowflake setup every week.
200 00:22:10.220 ⇒ 00:22:14.289 Uttam Kumaran: we happen to be doing Snowflake setup, like, every week, and so…
201 00:22:14.410 ⇒ 00:22:25.089 Uttam Kumaran: Our goal is just to make it easy for whoever’s doing that to understand how to do that, and then ideally, more junior people can start to do those things, because there’s clear SOPs, you know?
202 00:22:42.800 ⇒ 00:22:43.400 Elizah Joy: Hmm.
203 00:22:52.510 ⇒ 00:22:56.449 Uttam Kumaran: And then for any of the SMEs, let’s leave me off.
204 00:22:57.520 ⇒ 00:23:07.599 Uttam Kumaran: Just so I don’t get tagged, and then… but of course, like, I think we want to consider, basically, everybody who’s on the engineering team as a potential option.
205 00:23:10.530 ⇒ 00:23:15.220 Elizah Joy: Okay, I think, yeah, let’s start filling this out.
206 00:23:26.200 ⇒ 00:23:30.860 Mustafa Raja: Does integration of Mother Duck with Catalyst fit here?
207 00:23:32.420 ⇒ 00:23:38.339 Uttam Kumaran: Yeah, I would actually probably generalize that and just say mother duck to S3.
208 00:23:40.700 ⇒ 00:23:41.420 Mustafa Raja: Okay.
209 00:23:43.260 ⇒ 00:23:54.980 Uttam Kumaran: And then another thing I’m gonna add here, also, is just, a relation… to… the tools database.
210 00:23:56.490 ⇒ 00:24:00.530 Uttam Kumaran: So, you can put in…
211 00:24:08.620 ⇒ 00:24:12.860 Uttam Kumaran: You can put in the… the… the tools.
212 00:24:17.690 ⇒ 00:24:20.520 Ashwini Sharma: Are we going to create the playbooks right now for things.
213 00:24:20.520 ⇒ 00:24:38.350 Uttam Kumaran: No, no, no, just list all of them. Just list all of them. Yeah, yeah, yeah. Oh, yeah, so if there… yeah, for… even for things that maybe we may do in the future, just list everything, and then what we’re gonna do is try to prioritize, and then we’ll… and then Eliza’s gonna work on the SOP, the structure.
214 00:24:38.500 ⇒ 00:24:45.590 Uttam Kumaran: And then we can use… once we have the structure, we can then use AI and stuff to help build… build those, you know, a little bit faster, so…
215 00:25:55.610 ⇒ 00:26:02.350 Uttam Kumaran: Rico, do… we don’t… we’re not keeping track of all of our clients in Notion, right? So I want to create… I’m going to create a client’s…
216 00:26:03.550 ⇒ 00:26:06.320 Uttam Kumaran: column, but I’m just gonna make it a free text, then.
217 00:26:07.220 ⇒ 00:26:09.420 Uttam Kumaran: Or, like, a multi-select or whatever.
218 00:26:09.600 ⇒ 00:26:13.440 Rico Rejoso: What do you mean by client? We have, aside from the client hub.
219 00:26:14.740 ⇒ 00:26:20.810 Uttam Kumaran: Yeah, like, we’re not, we’re not create… we’re not, we’re no longer maintaining our client page in Notion, right?
220 00:26:21.170 ⇒ 00:26:31.739 Rico Rejoso: I update… since we changed format, I tried to better date it and make sure that all new clients are there, so we could, you know, keep all those documents.
221 00:26:31.850 ⇒ 00:26:32.509 Rico Rejoso: And paychecks.
222 00:26:32.510 ⇒ 00:26:33.200 Uttam Kumaran: Okay.
223 00:26:33.200 ⇒ 00:26:33.660 Rico Rejoso: We’ll just want.
224 00:26:33.660 ⇒ 00:26:34.280 Uttam Kumaran: Okay.
225 00:28:03.400 ⇒ 00:28:05.460 Ashwini Sharma: Do we have any clients in Databricks?
226 00:28:07.010 ⇒ 00:28:08.140 Uttam Kumaran: Hmm, not right now.
227 00:28:18.170 ⇒ 00:28:23.430 Uttam Kumaran: And then if you guys can just link the tool, Also, that would be helpful.
228 00:28:25.370 ⇒ 00:28:29.160 Uttam Kumaran: And if the tool doesn’t exist, you can just create it in the next database, but…
229 00:28:57.340 ⇒ 00:29:01.050 Uttam Kumaran: I’m gonna remove the medium, Frequency.
230 00:29:01.970 ⇒ 00:29:07.689 Uttam Kumaran: Just because I think it helps for priority to just have two options. Sorry.
231 00:29:07.690 ⇒ 00:29:09.370 Ashwini Sharma: Yeah, not nauseous.
232 00:29:09.420 ⇒ 00:29:14.929 Uttam Kumaran: It’s like when you say, choose a number between 1 and 10, and people always say 5, like.
233 00:29:15.450 ⇒ 00:29:17.959 Uttam Kumaran: It’s either low or high.
234 00:29:20.280 ⇒ 00:29:22.279 Uttam Kumaran: And then I’m gonna also add.
235 00:29:23.180 ⇒ 00:29:25.470 Ashwini Sharma: Select for, complexity.
236 00:29:29.230 ⇒ 00:29:32.980 Ashwini Sharma: So, about that NMLO, NOMLO thing, right?
237 00:29:33.390 ⇒ 00:29:36.530 Ashwini Sharma: Are we going to, you know, proceed in that direction?
238 00:29:36.530 ⇒ 00:29:38.280 Uttam Kumaran: I don’t know, the price is so high.
239 00:29:38.280 ⇒ 00:29:38.960 Ashwini Sharma: Yeah, yeah.
240 00:29:38.960 ⇒ 00:29:43.519 Uttam Kumaran: Well, for our current class of customers, the price is gonna be too high.
241 00:29:44.060 ⇒ 00:29:50.510 Uttam Kumaran: But who knows, like, I think it’s helpful to understand. I mean, I think we need to get something that’s more self-serve.
242 00:29:52.120 ⇒ 00:29:53.170 Uttam Kumaran: Yeah. You know?
243 00:31:54.120 ⇒ 00:31:57.780 Ashwini Sharma: And what dashboarding tool we have used over here?
244 00:31:59.110 ⇒ 00:31:59.980 Ashwini Sharma: Omni?
245 00:31:59.980 ⇒ 00:32:05.440 Uttam Kumaran: We’ve used… we’ve used… Where? For… in general?
246 00:32:05.810 ⇒ 00:32:07.719 Ashwini Sharma: What is that? Where?
247 00:32:09.040 ⇒ 00:32:14.690 Uttam Kumaran: Like, you said, which dashboarding tool have we used? Like, you mean just in general, or for a specific client?
248 00:32:14.690 ⇒ 00:32:18.560 Ashwini Sharma: No, no, like, for all the clients that we are catering to.
249 00:32:18.950 ⇒ 00:32:21.569 Uttam Kumaran: We use all of them.
250 00:32:21.750 ⇒ 00:32:22.180 Ashwini Sharma: Okay.
251 00:32:22.180 ⇒ 00:32:24.290 Uttam Kumaran: A lot of, like, defense, yeah.
252 00:32:25.960 ⇒ 00:32:31.390 Uttam Kumaran: I feel like dbt and GitHub are the only two that, like, we never really, like, Do another thing?
253 00:32:31.900 ⇒ 00:32:34.290 Uttam Kumaran: But everything else can switch.
254 00:35:55.180 ⇒ 00:36:04.480 Uttam Kumaran: Yeah, and then I think, guys, we should maybe… I don’t know, like, do you guys think we should break up each into, like, different phases of the project, or like…
255 00:36:05.830 ⇒ 00:36:08.830 Uttam Kumaran: we should categorize them somehow? I don’t know.
256 00:36:15.750 ⇒ 00:36:16.899 Uttam Kumaran: What do you think?
257 00:36:19.480 ⇒ 00:36:21.909 Awaish Kumar: Categorize it to work, right?
258 00:36:23.440 ⇒ 00:36:31.060 Uttam Kumaran: like, sections, you know? Like, this is all related to data movement, this is related to modeling, this is related to…
259 00:36:31.820 ⇒ 00:36:35.340 Uttam Kumaran: infrastructure, I don’t know, I don’t know, I’m just kind of thinking out loud.
260 00:36:38.810 ⇒ 00:36:40.620 Awaish Kumar: Yeah, we can definitely do that.
261 00:36:41.050 ⇒ 00:36:41.929 Awaish Kumar: Yeah.
262 00:36:44.360 ⇒ 00:36:51.740 Awaish Kumar: infrastructure, nationalized, BI and,
263 00:36:54.900 ⇒ 00:37:05.339 Awaish Kumar: Yeah, monitoring and observability, Modeling, yeah, it can be categorized into, like, these… 3 to 4.
264 00:37:06.070 ⇒ 00:37:07.350 Awaish Kumar: God of grace.
265 00:37:17.090 ⇒ 00:37:21.639 Uttam Kumaran: Okay, let’s look through. So we have initialize all the core warehouses.
266 00:37:22.220 ⇒ 00:37:25.730 Awaish Kumar: We also should do how to initialize Tableau…
267 00:37:28.820 ⇒ 00:37:29.520 Awaish Kumar: Yo.
268 00:37:30.120 ⇒ 00:37:38.350 Uttam Kumaran: So it’s like, we have, like, tool initializations, tool connections, like, I think, Eliza, another thing maybe you can use AI to help you is, like.
269 00:37:38.950 ⇒ 00:37:42.260 Uttam Kumaran: Thinking through how to categorize these.
270 00:37:42.460 ⇒ 00:37:48.150 Uttam Kumaran: Like, I have… I’ll send you a good prompt you can use. I have a prompt that will,
271 00:37:49.060 ⇒ 00:37:58.219 Uttam Kumaran: sort of mimic, like, data… someone who, like, leads data teams, and it can maybe help you give some clarity onto, like, how to…
272 00:37:58.820 ⇒ 00:38:01.400 Uttam Kumaran: think about this.
273 00:38:01.670 ⇒ 00:38:13.159 Uttam Kumaran: So I feel like one thing we’re gonna… one thing we have… we don’t have that you have is, like, the organization brain. But, like, of course, what we have is, like, the…
274 00:38:13.280 ⇒ 00:38:18.119 Uttam Kumaran: the sort of data world, and so I think that’s probably helpful for…
275 00:38:18.430 ⇒ 00:38:30.800 Uttam Kumaran: for you to work with AI to sort of ask questions like, okay, explain to me this, explain to me exactly, like, what this is, you know? I sent… I sent a prompt in the operations channel, so you can… you can use that if you need, but…
276 00:38:32.180 ⇒ 00:38:32.960 Awaish Kumar: Yeah.
277 00:38:32.960 ⇒ 00:38:41.919 Uttam Kumaran: I think it would be help… I think it would be helpful for us to think through, like, how we should structure, because I think Eliza also, we can go do this exact exercise on the other two teams.
278 00:38:42.070 ⇒ 00:38:53.069 Uttam Kumaran: I just wanted it to be, like, we can just come to those meetings, like, with a little bit more clarity, and then we’ll get more and more and more out of everybody. But as you can see, there’s a lot of things that we’re doing for people, you know?
279 00:38:53.850 ⇒ 00:39:13.169 Elizah Joy: Yeah, yeah, I think, with what you’ve said earlier, like, organizing these in phases, because I think, especially based on if the SOP or, sorry, the playbook that we’re going to be creating has a high complexity, I think splitting those into phases would be
280 00:39:13.580 ⇒ 00:39:14.590 Elizah Joy: Helpful?
281 00:39:15.360 ⇒ 00:39:15.710 Uttam Kumaran: Yeah.
282 00:39:15.710 ⇒ 00:39:23.500 Elizah Joy: just having one… Sop for that specific, Playbook.
283 00:39:24.370 ⇒ 00:39:25.310 Uttam Kumaran: Yeah, okay.
284 00:39:31.010 ⇒ 00:39:34.839 Uttam Kumaran: Anything else we’re missing here, guys? So, we have also, like…
285 00:39:35.210 ⇒ 00:39:36.779 Awaish Kumar: Like… Nothing set up.
286 00:39:38.090 ⇒ 00:39:46.819 Awaish Kumar: Obviously, we are, like, we can add more, like, for example, Shopify data to sales bar, like, this is…
287 00:39:47.250 ⇒ 00:39:53.280 Awaish Kumar: although we can call it Shopify modeling, but that’s very broad, so I try to…
288 00:39:53.400 ⇒ 00:39:58.729 Awaish Kumar: come to an atomic unit of something… Okay. …you can actually do, like…
289 00:39:58.970 ⇒ 00:40:11.359 Awaish Kumar: from Shopify to SalesMart, how… what steps you can take, or what queries you can run to build this. Then, obviously, it can be Sales Mart, Finance, or whatever, and then it can just expand.
290 00:40:12.110 ⇒ 00:40:12.980 Awaish Kumar: For Shopify.
291 00:40:12.980 ⇒ 00:40:13.630 Uttam Kumaran: Yeah, okay.
292 00:40:13.630 ⇒ 00:40:15.109 Awaish Kumar: Zaun and things like that.
293 00:40:16.110 ⇒ 00:40:16.730 Uttam Kumaran: Okay.
294 00:40:17.050 ⇒ 00:40:21.449 Uttam Kumaran: I mean, I think, yeah, the other option there is we just do, like, how to establish a sales mart.
295 00:40:23.130 ⇒ 00:40:26.849 Uttam Kumaran: And then in there, it’s, like, depending on the queries you have, but I see what you mean.
296 00:40:29.250 ⇒ 00:40:32.690 Uttam Kumaran: Are there any other, like, tool things that we’re missing here?
297 00:40:37.160 ⇒ 00:40:41.090 Uttam Kumaran: I mean, we should probably do, like, Snowflake… did we do Snowflake S3?
298 00:40:41.090 ⇒ 00:40:41.850 Awaish Kumar: But…
299 00:40:41.850 ⇒ 00:40:43.280 Uttam Kumaran: Snow pipe? Yeah.
300 00:40:45.050 ⇒ 00:40:45.710 Awaish Kumar: Yeah.
301 00:40:55.050 ⇒ 00:40:57.379 Awaish Kumar: Okay, that is, streaming.
302 00:40:58.770 ⇒ 00:40:59.750 Uttam Kumaran: Yeah…
303 00:41:00.930 ⇒ 00:41:03.880 Awaish Kumar: Okay, that is a good one to keep.
304 00:41:28.990 ⇒ 00:41:34.410 Uttam Kumaran: Oh, we also, like… I mean, we also want to do how to do… how to establish the data platform documentation, right?
305 00:41:35.410 ⇒ 00:41:36.229 Awaish Kumar: Right here.
306 00:41:40.860 ⇒ 00:41:47.619 Awaish Kumar: Okay, then I think same thing for… Figma, like, the diagram architecture.
307 00:41:48.380 ⇒ 00:41:49.170 Uttam Kumaran: Yeah.
308 00:43:17.550 ⇒ 00:43:21.240 Awaish Kumar: Setting up… GitHub Actions.
309 00:43:26.530 ⇒ 00:43:28.739 Awaish Kumar: to one DBT jobs.
310 00:43:44.450 ⇒ 00:43:49.959 Uttam Kumaran: Can we go through and rank the complexity as well, and then that way, start to set some priority?
311 00:43:53.350 ⇒ 00:43:53.930 Awaish Kumar: Okay.
312 00:45:09.780 ⇒ 00:45:12.579 Awaish Kumar: So did we… did any of us work on Sigma?
313 00:45:13.880 ⇒ 00:45:14.370 Ashwini Sharma: Well.
314 00:45:14.370 ⇒ 00:45:16.899 Uttam Kumaran: I have not, no. Oh, really?
315 00:45:17.080 ⇒ 00:45:18.539 Ashwini Sharma: I’ve worked on Sigma, yeah.
316 00:45:19.690 ⇒ 00:45:21.680 Uttam Kumaran: Oh, okay, great, awesome.
317 00:45:21.880 ⇒ 00:45:23.029 Uttam Kumaran: I didn’t know that.
318 00:45:27.740 ⇒ 00:45:30.109 Uttam Kumaran: CTA may be interested in Sigma, so…
319 00:45:31.140 ⇒ 00:45:34.000 Ashwini Sharma: Yeah, she had mentioned it a couple of times.
320 00:45:35.410 ⇒ 00:45:44.900 Uttam Kumaran: We… we tried to buy Sigma, but then for default, but then they came in and they botched the call, like, they were very rude. So, it didn’t end up working out.
321 00:45:46.140 ⇒ 00:45:47.430 Uttam Kumaran: Do you like Sigma?
322 00:45:48.200 ⇒ 00:45:51.690 Ashwini Sharma: Yeah, yeah, it’s, it’s quite, friendly, like Excel.
323 00:45:52.840 ⇒ 00:45:53.610 Uttam Kumaran: Okay.
324 00:46:11.130 ⇒ 00:46:20.570 Uttam Kumaran: Okay, guys, I’m gonna jump. I gotta go prep for a couple things, but yeah, maybe… I think, Eliza, do you have enough context, sort of, on how we want to do this process?
325 00:46:20.710 ⇒ 00:46:25.390 Uttam Kumaran: I think hopefully this gave you enough insight. I know we didn’t, like, finish this up today, but…
326 00:46:25.810 ⇒ 00:46:29.620 Uttam Kumaran: This is sort of, like, what we want to do across, basically.
327 00:46:30.090 ⇒ 00:46:35.400 Uttam Kumaran: My goal is, like, anything we do for a client, We have an associated playbook.
328 00:46:35.880 ⇒ 00:46:41.370 Uttam Kumaran: within some timeframe of doing that service. We’re always doing new things.
329 00:46:41.640 ⇒ 00:47:01.290 Uttam Kumaran: So it’s… we… but for… there’s some things we do all the time, and we still don’t have playbooks for, so those are the things I want to start with. But the first thing is to just map out every single thing that we’ve ever done, and continue to expect to do for clients. Like, we’ve done some things in the past that we’ll never do, so it’s not… no reason to create a playbook.
330 00:47:01.380 ⇒ 00:47:06.199 Uttam Kumaran: But a lot of these are things we do all the time, and then this is just for…
331 00:47:06.500 ⇒ 00:47:15.170 Uttam Kumaran: the data engineering team and the analytics engineering team, so this doesn’t consider the analysis team or the AI team. So…
332 00:47:15.380 ⇒ 00:47:21.250 Uttam Kumaran: You’re… you have your work cut out for you, but, like, that’s kind of, like, the one I want to get you, the whole sort of story here.
333 00:47:22.010 ⇒ 00:47:30.800 Elizah Joy: Yep, I understand, the context for this, now. And then, I just do have, one question. So.
334 00:47:30.970 ⇒ 00:47:37.680 Elizah Joy: This, playbook would be… would contain all the… like, it’ll be a mix for all the clients that we…
335 00:47:38.090 ⇒ 00:47:42.780 Elizah Joy: have, right? Not, like, separated based on each client.
336 00:47:42.780 ⇒ 00:47:56.799 Uttam Kumaran: No, no, not separated based on client, but, like, think about… think about it, like, let’s say we bring on… we bring on a client, and we’re like, okay, cool, like, what do they order? They order this, this, this, this, this. Okay, team, here are all the playbooks that we’re gonna run for them.
337 00:47:57.370 ⇒ 00:47:58.790 Elizah Joy: Okay, okay.
338 00:47:58.790 ⇒ 00:48:01.450 Uttam Kumaran: Very, very similar to the work that you’re doing on the operations.
339 00:48:01.840 ⇒ 00:48:06.200 Uttam Kumaran: like, okay, when you onboard a new client, here are all the SOPs, right?
340 00:48:06.200 ⇒ 00:48:07.120 Elizah Joy: So…
341 00:48:07.420 ⇒ 00:48:15.380 Uttam Kumaran: it’s actually not much different than, like, all of the playbooks that you’re creating for ops, finance, legal, HR.
342 00:48:15.610 ⇒ 00:48:19.889 Uttam Kumaran: it’s very, very similar in the fact that, like, I think in… for those things.
343 00:48:20.120 ⇒ 00:48:37.009 Uttam Kumaran: you guys are the ones, running those playbooks, and we are the client, right? Brainforge is the client. In this situation, we’re running the playbooks, but the client is the client, right? So, I would actually think about it very similarly. Like, I think one thing that consultancies make a mistake
344 00:48:37.010 ⇒ 00:48:47.510 Uttam Kumaran: is they think about delivery different than they run their own company. I think one thing everybody here knows is every team is using linear, every team is on sprints, like.
345 00:48:47.800 ⇒ 00:48:50.430 Uttam Kumaran: it helps to think of Brainforge.
346 00:48:50.690 ⇒ 00:48:54.870 Uttam Kumaran: As a client, and we are all both working on it, and.
347 00:48:55.320 ⇒ 00:48:57.989 Uttam Kumaran: We are also clients. Do you see what I’m saying?
348 00:48:58.450 ⇒ 00:49:12.659 Uttam Kumaran: and ultimately, the way we… it’s like… it’s sort of like the way you treat your own house is gonna make sure that when we go to do work for other people’s houses, you know, it’s also just as well. So, like.
349 00:49:12.740 ⇒ 00:49:28.339 Uttam Kumaran: part of this is, like, as we work for clients, right, you could see that there’s a lot that we’ve left in our own house. Like, it got messy, there’s trash piling up, and so this is a lot of the cleanup. But when clients come work with us, they are actually very impressed because we are organized.
350 00:49:28.400 ⇒ 00:49:34.759 Uttam Kumaran: You know, it’s like… it’s like the opposite of, you know when they talk about chefs? Like, chefs go home and they eat, like, microwave…
351 00:49:34.870 ⇒ 00:49:36.780 Uttam Kumaran: You know, takeout.
352 00:49:37.070 ⇒ 00:49:47.150 Uttam Kumaran: it’s, like, sort of the opposite of that. It’s like, we want to build a great house for ourselves to live in, and that way, when we go to a client, we bring that same mentality.
353 00:49:47.200 ⇒ 00:50:04.500 Uttam Kumaran: So think about yourself as the… as Brainforge, and like, okay, these SOPs, some of the SOPs you’re working on are directly supporting the Brainforge client, and then these are all supporting our external clients. We also do some of this stuff internally, by the way, but…
354 00:50:04.540 ⇒ 00:50:12.769 Uttam Kumaran: Of course, like, we don’t set this up every day for ourselves, we set it up, like, a while ago. But that’s, I think, a good way to frame… frame this.
355 00:50:15.290 ⇒ 00:50:29.359 Elizah Joy: Yeah, all right, I think I do have all the info that I need for now on this. I think, there would still be some SOPs missing on the… on this, but that’s fine, we can add that along the way.
356 00:50:31.730 ⇒ 00:50:33.019 Uttam Kumaran: Okay, okay, great.
357 00:50:36.320 ⇒ 00:50:37.190 Uttam Kumaran: Awesome.
358 00:50:38.490 ⇒ 00:50:39.050 Awaish Kumar: Okay.
359 00:50:39.050 ⇒ 00:50:40.769 Uttam Kumaran: Alright. Thank you, everyone.
360 00:50:42.070 ⇒ 00:50:42.690 Elizah Joy: All right.
361 00:50:42.690 ⇒ 00:50:43.030 Ashwini Sharma: Thank you.
362 00:50:43.030 ⇒ 00:50:44.170 Elizah Joy: so much.
363 00:50:44.490 ⇒ 00:50:45.030 Uttam Kumaran: Bye.