Meeting Title: EdenOS Sync Date: 2026-03-31 Meeting participants: Brylle Girang, Zoran Selinger, Awaish Kumar, Fireflies.ai Notetaker Chandra, Girish, Roja, gowtham, Avinash
WEBVTT
1 00:00:37.740 ⇒ 00:00:38.690 Zoran Selinger: Hi, everyone.
2 00:00:41.320 ⇒ 00:00:43.330 Girish: Yeah, hello. Hello.
3 00:00:44.220 ⇒ 00:00:44.940 Girish: Hello, gentlemen.
4 00:00:47.230 ⇒ 00:00:47.900 gowtham: Hello.
5 00:00:52.350 ⇒ 00:00:53.960 Girish: Gautam, Raja, okay.
6 00:01:02.210 ⇒ 00:01:05.030 Girish: Roja, can you check with Vinash?
7 00:01:06.260 ⇒ 00:01:07.300 Roja: Chuggish.
8 00:01:10.790 ⇒ 00:01:13.710 Girish: Hello, Joran Avesh Kumar.
9 00:01:14.090 ⇒ 00:01:16.729 Girish: So, good morning. Hi. Good evening.
10 00:01:17.240 ⇒ 00:01:17.910 Zoran Selinger: Alright.
11 00:01:17.910 ⇒ 00:01:20.790 Girish: So, yeah, so basically I requested,
12 00:01:20.940 ⇒ 00:01:27.569 Girish: this call to understand, I mean, What, what, what was actually…
13 00:01:27.720 ⇒ 00:01:33.590 Girish: we are doing, and so… so that we can…
14 00:01:34.100 ⇒ 00:01:40.719 Girish: From our side also, anything, like, we were integrating custom data events, right?
15 00:01:40.840 ⇒ 00:01:44.469 Girish: So, I would like to understand the complete, flow
16 00:01:44.720 ⇒ 00:01:48.899 Girish: What was happening, so that it’ll be good on both sides.
17 00:01:49.930 ⇒ 00:01:51.690 Girish: Yeah, that was the request.
18 00:01:52.940 ⇒ 00:01:59.450 Girish: So, like, on the data engineering side, what Aviation was, I mean.
19 00:02:00.190 ⇒ 00:02:02.600 Girish: We are doing, and, another…
20 00:02:03.050 ⇒ 00:02:08.060 Girish: on the analytics side, what, Jaren was doing, so just to… we would like to understand the complete,
21 00:02:09.710 ⇒ 00:02:11.490 Girish: ecosystem.
22 00:02:12.210 ⇒ 00:02:18.290 Zoran Selinger: Yeah, yeah, so… okay, so from… from my side,
23 00:02:18.480 ⇒ 00:02:24.270 Zoran Selinger: really what the most important thing is, was, Google Tag Manager.
24 00:02:25.870 ⇒ 00:02:32.459 Zoran Selinger: And you guys implemented the tracker, like the container snippet?
25 00:02:32.900 ⇒ 00:02:39.920 Zoran Selinger: Right. For the existing Google Tag Manager. Basically, meaning, we have…
26 00:02:41.360 ⇒ 00:02:49.320 Zoran Selinger: all the tracking that we have on Trident, we have, indoor health.
27 00:02:50.650 ⇒ 00:03:00.520 Zoran Selinger: With the condition that the custom events, so data layer pushes that you guys were implementing, if those are happening.
28 00:03:01.540 ⇒ 00:03:11.020 Zoran Selinger: we have basically everything that we currently have on Tri-Eden. So, have… are you guys familiar
29 00:03:12.030 ⇒ 00:03:14.159 Zoran Selinger: with Google Time Manager at all.
30 00:03:14.160 ⇒ 00:03:15.789 Girish: Yeah, yeah, yes, yes, yes.
31 00:03:15.790 ⇒ 00:03:17.230 Zoran Selinger: You guys are. Okay.
32 00:03:17.230 ⇒ 00:03:23.260 Girish: We are testing in the… I mean, the events are firing or not in the tag assist, right?
33 00:03:23.400 ⇒ 00:03:24.040 Girish: Yeah, yeah, right.
34 00:03:24.040 ⇒ 00:03:27.760 Zoran Selinger: Exactly, exactly. So we have our triggers,
35 00:03:27.890 ⇒ 00:03:46.840 Zoran Selinger: most… the most important events that are, that are inside Google Tag Manager, are based on the custom events, so the data layer pushes that you guys are pushing. So as long as those are there, and the… and the parameters
36 00:03:46.970 ⇒ 00:03:53.810 Zoran Selinger: with the event pushes are the ones that are key, that we are expecting. We are good.
37 00:03:54.720 ⇒ 00:03:56.300 Zoran Selinger: Okay, good. Yeah.
38 00:03:56.440 ⇒ 00:04:10.669 Zoran Selinger: We are… so right now, we checked earlier, we don’t see anything, anything missing. We have a little bit of weird behavior on the CDN side, but that’s… that’s another topic,
39 00:04:12.130 ⇒ 00:04:19.610 Zoran Selinger: So, right now, Ryan, I know Ryan identified a few, few different things.
40 00:04:21.050 ⇒ 00:04:24.000 Zoran Selinger: That we are still missing on some of the events.
41 00:04:24.480 ⇒ 00:04:27.139 Zoran Selinger: But that’s it, yeah.
42 00:04:27.640 ⇒ 00:04:28.340 Girish: Okay.
43 00:04:28.540 ⇒ 00:04:45.490 Girish: So, I mean, basically, what is the logic that you are trying in the… at GTM? So, are we… are we redirecting via segment and mixed panel? So, this… this complete architecture, I would like to understand. Is there any document that we can understand the complete flow?
44 00:04:45.850 ⇒ 00:04:46.899 Girish: That you guys are included.
45 00:04:46.900 ⇒ 00:04:54.149 Zoran Selinger: Do you have access, does any… do any of you have access to, our tag manager.
46 00:04:54.540 ⇒ 00:04:56.020 Zoran Selinger: Google Tag Manager?
47 00:04:56.850 ⇒ 00:05:00.810 Girish: tag manager… I think Ryan added us.
48 00:05:00.920 ⇒ 00:05:02.259 Girish: Yes, we have that.
49 00:05:02.610 ⇒ 00:05:03.850 Zoran Selinger: Yeah, you, you have…
50 00:05:04.890 ⇒ 00:05:15.100 Zoran Selinger: I mean, everything is in there, but yes, you understood correctly. So, most of the things will go to, most of it is… obviously, we have
51 00:05:15.270 ⇒ 00:05:23.169 Zoran Selinger: we have normal, normal pixels for all the systems that we have, but the key one is segment. Segment is going to be there.
52 00:05:23.440 ⇒ 00:05:27.789 Zoran Selinger: And segment streams data into Mixpanel.
53 00:05:28.450 ⇒ 00:05:31.279 Zoran Selinger: That’s what’s… what’s happening there.
54 00:05:32.030 ⇒ 00:05:32.460 Girish: Okay.
55 00:05:32.460 ⇒ 00:05:39.180 Zoran Selinger: We have, you see, a few key events on segment. Basically, all of these… all of these are…
56 00:05:39.310 ⇒ 00:05:42.630 Zoran Selinger: Based on the… on the custom events.
57 00:05:42.810 ⇒ 00:05:47.520 Zoran Selinger: Some of them will have additional conditions here, and…
58 00:05:47.940 ⇒ 00:05:59.760 Zoran Selinger: it’s really as simple as that. Everything for Mixpanel in particular is then set up on Segment. And that, that connection.
59 00:05:59.880 ⇒ 00:06:08.839 Zoran Selinger: Mixpanel is set up as destination already. We use the same project, same segment, so the same data will also…
60 00:06:09.400 ⇒ 00:06:12.300 Zoran Selinger: Data will simply continue.
61 00:06:12.600 ⇒ 00:06:15.270 Zoran Selinger: going straight through to Mixpanel.
62 00:06:20.160 ⇒ 00:06:21.460 Zoran Selinger: Ian dot health.
63 00:06:21.560 ⇒ 00:06:31.590 Zoran Selinger: That’s the… that’s the expected behavior. We are, obviously, we are going to use today and tomorrow to confirm those things. Yeah.
64 00:06:32.420 ⇒ 00:06:38.880 Girish: So it is, mixPanel, implemented, or, it’s already implemented?
65 00:06:38.880 ⇒ 00:06:45.789 Zoran Selinger: is already in place, so there you go. So we have, we have mixed panel already.
66 00:06:46.550 ⇒ 00:06:52.480 Zoran Selinger: We have… A deprecated project and a current project.
67 00:06:52.910 ⇒ 00:06:58.259 Zoran Selinger: We have… Reports built out in there, and all of those things.
68 00:06:59.140 ⇒ 00:07:04.120 Zoran Selinger: It’s being used, and yeah, for now, there is…
69 00:07:04.710 ⇒ 00:07:11.880 Zoran Selinger: This is a tool of choice that we are going to use for the foreseeable future. Yeah.
70 00:07:11.890 ⇒ 00:07:19.540 Girish: Is this, Is integrated with, currently, what we are doing, the production thing.
71 00:07:19.890 ⇒ 00:07:25.630 Girish: are with the BASC, I mean, the earlier… Aiden’s, basket.
72 00:07:25.630 ⇒ 00:07:32.409 Zoran Selinger: Yes, exactly, exactly. So this is… this is try… so this is essentially Basque data.
73 00:07:32.410 ⇒ 00:07:32.800 Girish: Oh.
74 00:07:33.380 ⇒ 00:07:34.060 Girish: Okay.
75 00:07:34.060 ⇒ 00:07:42.699 Zoran Selinger: Exactly, exactly. So… the data that we are getting from Eden.health is simply gonna end up
76 00:07:42.820 ⇒ 00:07:48.350 Zoran Selinger: Here, and like… like I said, we are still confirming, confirming that,
77 00:07:50.510 ⇒ 00:07:51.160 Girish: Okay.
78 00:07:51.160 ⇒ 00:07:55.829 Zoran Selinger: But that’s the behavior we expect, because it’s the same… same tags are fired.
79 00:07:55.930 ⇒ 00:07:58.190 Zoran Selinger: on GEED and OS, yeah.
80 00:07:58.190 ⇒ 00:08:02.460 Girish: So, how can we verify now the latest production URLs?
81 00:08:02.610 ⇒ 00:08:05.939 Girish: In this mixed panel, those statistics.
82 00:08:05.940 ⇒ 00:08:09.899 Zoran Selinger: This is… this is something I’m also kind of new to MixedPanel.
83 00:08:10.130 ⇒ 00:08:15.489 Zoran Selinger: So, it’s what I’m trying to figure out as well.
84 00:08:15.680 ⇒ 00:08:16.560 Girish: Okay, okay.
85 00:08:16.680 ⇒ 00:08:17.380 Zoran Selinger: Yeah.
86 00:08:18.210 ⇒ 00:08:23.590 Girish: So, I mean, if you don’t mind, could you give us access to this? At least view access, we can see what.
87 00:08:23.590 ⇒ 00:08:25.800 Zoran Selinger: Let me see if I can…
88 00:08:25.960 ⇒ 00:08:26.510 Girish: Yeah.
89 00:08:27.530 ⇒ 00:08:28.900 Girish: I don’t see if RAM has a…
90 00:08:28.900 ⇒ 00:08:36.980 Zoran Selinger: I think I have sufficient permissions, so if I give you access to the organization users… and teams…
91 00:08:37.330 ⇒ 00:08:45.510 Zoran Selinger: We have 38 users in there already. Okay, invite users. Can you guys paste.
92 00:08:45.510 ⇒ 00:08:58.529 Girish: Yeah, yeah. So, we need, I mean, if you have licenses for this, I think we need three… one for QA, and three for the dev team, total four users. Is that okay?
93 00:08:59.370 ⇒ 00:09:05.890 Zoran Selinger: Let’s try, yeah, let’s, let’s edit. If someone complains, we’ll… we’ll…
94 00:09:06.750 ⇒ 00:09:08.930 Girish: Okay, so just one second.
95 00:09:09.150 ⇒ 00:09:14.460 Girish: Can someone, share the connected emails, go from Raja, someone.
96 00:09:14.930 ⇒ 00:09:17.539 Girish: Meanwhile, we can go through the other things.
97 00:09:18.490 ⇒ 00:09:19.620 Girish: And so they prepare…
98 00:09:19.620 ⇒ 00:09:20.390 Zoran Selinger: Where…
99 00:09:20.930 ⇒ 00:09:23.659 Girish: Yeah, let me quickly grab from here.
100 00:09:29.120 ⇒ 00:09:32.029 Girish: Yeah, I’m just sharing in just one minute.
101 00:09:46.380 ⇒ 00:09:54.659 Avinash: Until then, Zora, one question, one quick question. So, the segments which are shown in the tag manager.
102 00:09:55.630 ⇒ 00:10:00.529 Avinash: Those are tags, right? So, what is a segment? Is it just the naming convention?
103 00:10:00.830 ⇒ 00:10:01.510 Avinash: We have…
104 00:10:01.510 ⇒ 00:10:03.729 Zoran Selinger: No, no, no, segment is the CDP.
105 00:10:06.420 ⇒ 00:10:07.510 Zoran Selinger: Let me show you.
106 00:10:08.020 ⇒ 00:10:08.710 Avinash: Okay.
107 00:10:10.380 ⇒ 00:10:15.719 Zoran Selinger: is a CDP… let me see… Roberts.
108 00:10:23.750 ⇒ 00:10:25.049 Zoran Selinger: I hate this.
109 00:10:27.440 ⇒ 00:10:29.229 Girish: What is meant by CDP?
110 00:10:31.350 ⇒ 00:10:35.720 Zoran Selinger: You’ll see. So… so this is, basically, data comes in here, and then we have
111 00:10:35.870 ⇒ 00:10:41.089 Zoran Selinger: Like, sources of data, which is… some of the sources are from the, you see, from the.
112 00:10:41.090 ⇒ 00:10:43.730 Girish: Okay, segment, you’re saying, SEM, okay, same.
113 00:10:44.190 ⇒ 00:10:49.270 Zoran Selinger: Yeah, and then we have destinations, so these are our sources of data,
114 00:10:49.840 ⇒ 00:10:59.890 Zoran Selinger: And these are our destinations. Some of the destinations you’ll see is going to be Mixpanel, some of the destinations is obviously, like, advertising accounts.
115 00:11:00.390 ⇒ 00:11:02.080 Zoran Selinger: and everything else.
116 00:11:06.310 ⇒ 00:11:06.980 Zoran Selinger: Yeah.
117 00:11:07.980 ⇒ 00:11:13.800 Girish: So, one question, I have. So, are we, are we targeting advertising,
118 00:11:14.780 ⇒ 00:11:17.770 Girish: Through… via Google Ads, or any other platform we are using.
119 00:11:19.960 ⇒ 00:11:26.849 Zoran Selinger: Sorry, don’t get your question. We are… we do advertise, yes. Heavily, heavily.
120 00:11:27.430 ⇒ 00:11:34.320 Girish: No, no, no, my question is, I mean, I’m not sure about that is in your scope or not, but I’m just checking.
121 00:11:34.510 ⇒ 00:11:41.579 Girish: Are we doing this, analytics marketing things using Google Ads, or any other, medium?
122 00:11:44.920 ⇒ 00:11:47.219 Zoran Selinger: Still don’t understand the question.
123 00:11:47.220 ⇒ 00:11:51.510 Girish: We will do… Another thing, I mean…
124 00:11:52.370 ⇒ 00:11:56.130 Awaish Kumar: We do use different platforms. We have Google, Meta.
125 00:11:56.810 ⇒ 00:11:59.500 Awaish Kumar: We try, like, our advertising…
126 00:11:59.500 ⇒ 00:12:00.450 Zoran Selinger: Oh, yeah.
127 00:12:00.930 ⇒ 00:12:04.290 Girish: Actually, I’m checking a bit, yeah. Okay.
128 00:12:04.810 ⇒ 00:12:08.730 Girish: So that is also your scope, or something Ryan was doing?
129 00:12:12.040 ⇒ 00:12:15.189 Zoran Selinger: We are not running campaigns, no, no.
130 00:12:15.190 ⇒ 00:12:15.659 Girish: Oh, jeez.
131 00:12:15.660 ⇒ 00:12:23.469 Zoran Selinger: If that’s what you’re asking. No, no, we, currently, so, Google Ads is run in-house.
132 00:12:24.100 ⇒ 00:12:39.810 Zoran Selinger: is running, Google Ads. We also internally have, affiliates are also internal, but we have agencies for, Meta and TikTok.
133 00:12:40.270 ⇒ 00:12:41.110 Girish: Okay.
134 00:12:41.110 ⇒ 00:12:48.979 Zoran Selinger: And I think they are onboarding, if it’s not already there, an agency also running email.
135 00:12:49.170 ⇒ 00:12:51.930 Zoran Selinger: But it was in-house previously.
136 00:12:52.380 ⇒ 00:12:53.380 Girish: Gotcha, okay.
137 00:12:53.380 ⇒ 00:12:53.910 Zoran Selinger: Yeah.
138 00:12:55.570 ⇒ 00:12:57.580 Zoran Selinger: So that’s 4 invites there.
139 00:12:58.080 ⇒ 00:12:59.509 Girish: Okay, thanks a lot.
140 00:13:01.460 ⇒ 00:13:07.559 Girish: So, so, okay, so segment and segment via segment.
141 00:13:07.670 ⇒ 00:13:10.800 Girish: you are returning to MixedPanel, and then,
142 00:13:11.020 ⇒ 00:13:13.819 Girish: Do you have a scope with Google Analytics as well?
143 00:13:16.230 ⇒ 00:13:22.559 Zoran Selinger: So Google Analytics we do have, it’s not wired through, through…
144 00:13:22.900 ⇒ 00:13:27.390 Zoran Selinger: Through segment, it’s… it’s direct. It’s direct… it’s direct from GTM.
145 00:13:28.500 ⇒ 00:13:31.029 Zoran Selinger: So we have GA4 tags here.
146 00:13:31.650 ⇒ 00:13:33.700 Girish: Okay, okay. Yeah.
147 00:13:33.940 ⇒ 00:13:36.909 Zoran Selinger: So that’s where it comes from, and you know, by default.
148 00:13:37.720 ⇒ 00:13:42.209 Zoran Selinger: we are exporting this data directly into BigQuery.
149 00:13:45.520 ⇒ 00:13:46.320 Zoran Selinger: Yeah.
150 00:13:46.320 ⇒ 00:13:55.450 Avinash: Zoran, if possible, can you show us where are you exactly integrating Google Analytics with, mixed panel.
151 00:13:55.770 ⇒ 00:13:57.479 Avinash: Is it in segment, or…
152 00:13:57.580 ⇒ 00:13:58.950 Avinash: Is it in Tag Manager?
153 00:14:01.380 ⇒ 00:14:04.000 Girish: journalists just know he was swimming.
154 00:14:04.400 ⇒ 00:14:21.820 Zoran Selinger: Yeah, so Mixpanel is going through… basically, MixedPanel will receive whatever we send to segment, right? So, you see there’s quite a few events set up for segment here in GTM. That’s… that’s destination, so, let me see…
155 00:14:23.330 ⇒ 00:14:26.300 Zoran Selinger: We are in the destinations, so there’s…
156 00:14:26.420 ⇒ 00:14:34.190 Zoran Selinger: Mixpanel, there’s a few of these connections for Mixpanel, but GA4 goes… it goes directly from Google Tag Manager.
157 00:14:35.810 ⇒ 00:14:36.370 Girish: Junk.
158 00:14:44.930 ⇒ 00:15:06.170 Zoran Selinger: So, basically, on your side, as long as you guys implement all the data layer pushes that we are asking, and that Ryan is asking, and that’s what he’s doing right now, he’s essentially going one by one, all of this that’s set up in Google Tag Manager will work.
159 00:15:07.000 ⇒ 00:15:07.659 Girish: Right, yeah.
160 00:15:07.660 ⇒ 00:15:11.300 Zoran Selinger: And we will have to do very few changes in here.
161 00:15:11.540 ⇒ 00:15:15.619 Zoran Selinger: For everything to work, for… Even though it helped.
162 00:15:20.470 ⇒ 00:15:28.929 Girish: Yeah, got it. So, for these tags, what is the source for you? I mean, on what basis you are actually creating these tags?
163 00:15:32.070 ⇒ 00:15:34.850 Zoran Selinger: What… what do you mean? What’s the input for… for me?
164 00:15:36.140 ⇒ 00:15:43.999 Girish: Is it, based on the application behavior, you are creating these stacks, or any… what is the…
165 00:15:44.440 ⇒ 00:15:48.919 Girish: What kind of requirement, based on what requirement you are creating these tags?
166 00:15:50.200 ⇒ 00:15:51.859 Girish: These are general requirements.
167 00:15:51.860 ⇒ 00:15:57.040 Zoran Selinger: just based on what we need. Between Ryan and myself.
168 00:15:57.260 ⇒ 00:16:09.699 Zoran Selinger: What we… you know, if we’re implementing a new tracking tool or whatever, that will come with requirements, with the tracking requirements, and that’s what we do here. That’s how we…
169 00:16:09.700 ⇒ 00:16:13.340 Girish: Are you using any Jira, to track the tasks?
170 00:16:13.540 ⇒ 00:16:17.920 Zoran Selinger: all of this is tracked, essentially, on Monday.
171 00:16:18.380 ⇒ 00:16:18.760 Girish: Monday.
172 00:16:18.760 ⇒ 00:16:31.800 Zoran Selinger: All of this is on Monday, yeah. So because Ryan has a lot of his take… not a lot of his, but everything that Ryan, for example, does is in Monday, as far as I understand.
173 00:16:32.560 ⇒ 00:16:34.359 Girish: And I’ll check with him, sure.
174 00:16:34.360 ⇒ 00:16:35.050 Zoran Selinger: Yeah, yeah.
175 00:16:36.220 ⇒ 00:16:40.029 Zoran Selinger: He’s really the best person to talk to about
176 00:16:40.050 ⇒ 00:16:57.159 Zoran Selinger: all of this. He’s… he’s… like, if we had a look at his screen right now, he’s probably inside the Google Tag Manager, debug, preview mode, and he’s looking at the data layer, yeah, right now.
177 00:16:57.350 ⇒ 00:16:58.120 Zoran Selinger: Yeah.
178 00:16:59.430 ⇒ 00:17:04.459 Girish: So, I mean, this is your scope, right, Zoran?
179 00:17:04.460 ⇒ 00:17:15.180 Zoran Selinger: Yeah, Google Tag Manager, so my scope is Martech. So, any, anything, connected to a marketing technology here.
180 00:17:15.300 ⇒ 00:17:22.739 Zoran Selinger: is… that’s… That’s my scope. So Google Tag Manager would fall under… under that. Segment would fall under that.
181 00:17:23.030 ⇒ 00:17:25.080 Zoran Selinger: Mixed panel will fall under that.
182 00:17:25.329 ⇒ 00:17:36.449 Zoran Selinger: obviously parts of MixedPanel. There’s a lot of it that, that Avage does, obviously, with modeling and things like that, so that is also…
183 00:17:37.220 ⇒ 00:17:41.199 Zoran Selinger: Okay. Yeah, he enables a lot of that as well.
184 00:17:45.590 ⇒ 00:17:49.890 Girish: Yeah, I think, Gautam, Roja, Avinash, any questions?
185 00:17:52.520 ⇒ 00:17:53.350 Avinash: Beautiful.
186 00:17:54.780 ⇒ 00:17:55.430 Roja: No.
187 00:17:55.720 ⇒ 00:17:56.540 gowtham: Yes, yes.
188 00:17:57.290 ⇒ 00:17:58.560 gowtham: Okay. Yeah, I agree.
189 00:18:01.010 ⇒ 00:18:09.410 Zoran Selinger: Obviously, I’m in a lot of the channels that you might be in on Slack, so if you guys have any.
190 00:18:09.410 ⇒ 00:18:09.760 Girish: Good.
191 00:18:09.760 ⇒ 00:18:17.510 Zoran Selinger: questions, whenever you think of them, don’t hesitate, just… just CC me, and we’ll… we’ll… we’ll figure it out, yeah.
192 00:18:17.510 ⇒ 00:18:22.469 Girish: I mean, do we have any documentation, Zaran, So, so just to…
193 00:18:22.850 ⇒ 00:18:26.119 Girish: There should be discussion documents, or…
194 00:18:26.120 ⇒ 00:18:28.810 Zoran Selinger: Ryan… Ryan is the best person to ask.
195 00:18:29.060 ⇒ 00:18:34.680 Girish: Yeah, he’ll check with So, yeah, thank you, Jared, sir.
196 00:18:35.010 ⇒ 00:18:36.500 Girish: Sure, sure.
197 00:18:36.500 ⇒ 00:18:37.310 Zoran Selinger: No problem.
198 00:18:37.970 ⇒ 00:18:43.859 Girish: Yeah, I think, no… I would like to understand the data engineering part, Avish Kumar.
199 00:18:44.120 ⇒ 00:18:44.760 Girish: But.
200 00:18:44.760 ⇒ 00:18:49.499 Awaish Kumar: Yeah, so I have already shared a link, for Figma.
201 00:18:49.880 ⇒ 00:18:50.490 Girish: Okay.
202 00:18:50.490 ⇒ 00:18:54.529 Awaish Kumar: Basically, this is kind of what we are doing. This…
203 00:18:55.270 ⇒ 00:19:00.080 Awaish Kumar: It’s kind of a… based on what we have done for the… Basque?
204 00:19:00.560 ⇒ 00:19:03.490 Awaish Kumar: But basically, essentially, these are the tools that we have.
205 00:19:03.830 ⇒ 00:19:04.760 Awaish Kumar: used.
206 00:19:05.950 ⇒ 00:19:07.350 Awaish Kumar: So the…
207 00:19:07.650 ⇒ 00:19:17.219 Awaish Kumar: On the left side, we have a lot of sources from where we are ingesting the data to BigQuery, and for that ingestion, we have different tools.
208 00:19:17.430 ⇒ 00:19:23.490 Awaish Kumar: So, we have segment, which basically… brings in the Basque data.
209 00:19:23.730 ⇒ 00:19:26.440 Awaish Kumar: And then we also have North Beam.
210 00:19:26.880 ⇒ 00:19:32.750 Awaish Kumar: Which is basically the source for all the marketing spend.
211 00:19:32.860 ⇒ 00:19:37.330 Awaish Kumar: So if any marketing spend happening on Meta, Google, TikTok, anywhere.
212 00:19:37.520 ⇒ 00:19:42.849 Awaish Kumar: It’s being captured, and also when we ingest it, to Google BigQuery.
213 00:19:43.050 ⇒ 00:19:47.730 Awaish Kumar: then we have Polytomic, it’s an IETL tool that is used to
214 00:19:48.670 ⇒ 00:19:52.850 Awaish Kumar: ingest some of the data, and one of, like, it only now…
215 00:19:52.950 ⇒ 00:19:57.379 Awaish Kumar: It says Zendesk, but also, right now we have this Eden OS data.
216 00:19:58.170 ⇒ 00:20:08.090 Awaish Kumar: we are ingesting via Postgres to BigQuery, choosing Polytomic, because we didn’t get hold of any other way, like webhooks or anything.
217 00:20:08.200 ⇒ 00:20:12.300 Awaish Kumar: It was a direct ingestion, so we just tried to use this.
218 00:20:12.490 ⇒ 00:20:16.099 Awaish Kumar: Polyatomic, that basically helps us ingest all the data from
219 00:20:16.840 ⇒ 00:20:20.490 Awaish Kumar: Worst case answers, where we got access from Surf.
220 00:20:20.750 ⇒ 00:20:26.029 Awaish Kumar: I think it’s still a staging install, I think so, but that is interesting to BigQuery.
221 00:20:26.930 ⇒ 00:20:32.449 Awaish Kumar: And then there are some of the marketing sources which are also… The small…
222 00:20:34.090 ⇒ 00:20:44.979 Awaish Kumar: platforms where we only have, we have created a bunch of APIs, we use Dexter for that, to get this pen from those sources. Then…
223 00:20:45.480 ⇒ 00:20:52.459 Awaish Kumar: Once data is in the BigQuery, we are using dbt to basically do all the modeling on top of it.
224 00:20:53.490 ⇒ 00:20:55.179 Awaish Kumar: We use GitHub Actions for…
225 00:20:55.180 ⇒ 00:20:59.569 Girish: Are we… A cloud platform for all these things, or…
226 00:21:01.220 ⇒ 00:21:06.190 Awaish Kumar: like, the… the… Google BigQuery is our warehouse.
227 00:21:06.190 ⇒ 00:21:09.569 Girish: Okay, GCP is… we are using Google Cloud.
228 00:21:10.030 ⇒ 00:21:18.069 Awaish Kumar: Yeah, we are on GCP, we are using Google BigQuery for our warehouse, and then we use also Google Cloud Function.
229 00:21:18.190 ⇒ 00:21:21.290 Awaish Kumar: for running, Nord Stream ingestion.
230 00:21:21.570 ⇒ 00:21:29.830 Awaish Kumar: We haven’t changed it, it’s just been there since we started, and we just continue to use it. Then we have dbt.
231 00:21:29.960 ⇒ 00:21:39.769 Awaish Kumar: Which is, we also only have dbt Core, so it’s not on cloud, it just runs on Git… in GitHub Actions. So we use GitHub Actions for our CICD.
232 00:21:39.990 ⇒ 00:21:50.519 Awaish Kumar: And then we… this doc also needs just a bit of update, but it says Tableau, but we now moved away from Tableau. We are using Omni Analytics as our BI tool.
233 00:21:50.730 ⇒ 00:21:52.650 Awaish Kumar: So, what data is more…
234 00:21:52.650 ⇒ 00:21:54.369 Girish: Both the analytics, right?
235 00:21:54.680 ⇒ 00:21:56.360 Awaish Kumar: It’s called Comni Analytics.
236 00:21:56.360 ⇒ 00:21:58.099 Girish: Omni Analytics, okay.
237 00:21:58.310 ⇒ 00:22:01.280 Awaish Kumar: Yeah. So that is being used for…
238 00:22:01.590 ⇒ 00:22:04.340 Awaish Kumar: Well, as a BI tool, so now all these reports are…
239 00:22:04.340 ⇒ 00:22:07.970 Girish: Is it an in-house tool, or it’s an external tool?
240 00:22:07.970 ⇒ 00:22:08.490 Awaish Kumar: Little.
241 00:22:10.690 ⇒ 00:22:11.710 Girish: He knows him, right?
242 00:22:11.960 ⇒ 00:22:12.570 Girish: No, it’s true.
243 00:22:12.570 ⇒ 00:22:13.760 Awaish Kumar: Excellent.
244 00:22:14.630 ⇒ 00:22:16.420 Awaish Kumar: And that is,
245 00:22:16.710 ⇒ 00:22:26.239 Awaish Kumar: like, that has a lot of AI features, that’s why we moved… migrated from Tableau to Omni, and… and everything, all the reports have been migrated there.
246 00:22:26.560 ⇒ 00:22:30.459 Awaish Kumar: And then, also, we have some reverse ETL data going to North Beam.
247 00:22:31.180 ⇒ 00:22:35.710 Awaish Kumar: That’s happening through Polyatomic. Then we also have some… Huh.
248 00:22:36.140 ⇒ 00:22:41.730 Awaish Kumar: like, reverse ETL for sending data to LixPanel, that is happening via segment.
249 00:22:41.990 ⇒ 00:22:45.760 Awaish Kumar: as Zoran already showed, Then we have,
250 00:22:46.890 ⇒ 00:22:58.310 Awaish Kumar: Catalyst, for example, and we have, like, kind of reverse detail set up via Dexter. Dexter is an orchestration tool to run some custom scripts that we write in Python.
251 00:22:59.550 ⇒ 00:23:03.570 Awaish Kumar: Yeah, that’s basically all the tools that… We…
252 00:23:03.730 ⇒ 00:23:06.410 Awaish Kumar: Are using here for… in the data engineering field.
253 00:23:10.170 ⇒ 00:23:13.280 Girish: So, how can we see Omni reports?
254 00:23:15.960 ⇒ 00:23:22.629 Awaish Kumar: So for that, like, we… I think you can… Okay, I think,
255 00:23:23.350 ⇒ 00:23:27.790 Awaish Kumar: It depends on how many users we can…
256 00:23:28.710 ⇒ 00:23:31.510 Awaish Kumar: Put in, but we have a…
257 00:23:32.030 ⇒ 00:23:37.890 Awaish Kumar: Greg is from our team, basically, he’s kind of a… leading that Omni…
258 00:23:38.200 ⇒ 00:23:38.920 Girish: Okay.
259 00:23:39.220 ⇒ 00:23:43.840 Awaish Kumar: and tool, so… We can ask him, actually, to add you in.
260 00:23:43.940 ⇒ 00:23:47.360 Awaish Kumar: But, yeah, it depends on number of… how many number of seats you have.
261 00:23:47.360 ⇒ 00:23:50.349 Girish: No issues, I’ll check with Ryan, and he can guide me.
262 00:23:51.560 ⇒ 00:23:52.660 Awaish Kumar: Yeah, that is enough.
263 00:23:52.770 ⇒ 00:23:57.349 Awaish Kumar: Yeah, Ryan is not involved in that Omni thing. Yeah, he might be looking at some of the reports.
264 00:23:57.350 ⇒ 00:23:57.690 Zoran Selinger: jumping.
265 00:23:57.690 ⇒ 00:23:58.499 Girish: Oh, he’s not good.
266 00:23:58.500 ⇒ 00:23:59.429 Zoran Selinger: Good egg, yeah.
267 00:23:59.690 ⇒ 00:24:00.210 Girish: Who cares?
268 00:24:00.770 ⇒ 00:24:04.379 Zoran Selinger: I know Greg was cleaning up the number of users yesterday.
269 00:24:05.650 ⇒ 00:24:14.099 Awaish Kumar: Yeah, we have a subscription where we have a fixed number of users we can add. Okay. So that’s why we might give you access using some standard
270 00:24:14.370 ⇒ 00:24:20.689 Awaish Kumar: email, we can create, like, engineering at edem.health, and basically you can use that to have a shared
271 00:24:20.870 ⇒ 00:24:22.609 Awaish Kumar: Plugin between the team.
272 00:24:23.270 ⇒ 00:24:24.780 Girish: Okay, that’s, that’s better.
273 00:24:24.980 ⇒ 00:24:25.700 Girish: Beautiful.
274 00:24:26.130 ⇒ 00:24:29.600 Awaish Kumar: So that way, like, yeah, we have to pay back to graduate.
275 00:24:30.330 ⇒ 00:24:36.260 Girish: Yeah. So, for this, who, from our side, surface the POC, right?
276 00:24:36.730 ⇒ 00:24:37.729 Girish: By this part.
277 00:24:39.600 ⇒ 00:24:40.650 Awaish Kumar: For which part?
278 00:24:41.440 ⇒ 00:24:44.399 Girish: So, I mean, for the data engineering part, I mean.
279 00:24:44.620 ⇒ 00:24:52.880 Girish: For the, analytics part, Ryan was taking care, but for this entire thing, Soph was the point of contact, right?
280 00:24:53.830 ⇒ 00:25:00.179 Awaish Kumar: Serf is actually hired via Ben Forge. He was,
281 00:25:00.590 ⇒ 00:25:07.990 Awaish Kumar: Kind of, supported, the development of, Eden West, right? But, like…
282 00:25:08.160 ⇒ 00:25:12.100 Awaish Kumar: Eden OS is a platform that Eden acquired.
283 00:25:12.970 ⇒ 00:25:17.410 Awaish Kumar: from, like, it’s called… when it was called Remo.
284 00:25:17.540 ⇒ 00:25:19.810 Awaish Kumar: It was… got acquired, and then…
285 00:25:20.830 ⇒ 00:25:25.679 Awaish Kumar: there was some of the development required, so Serv was hired via Blood Force to basically
286 00:25:26.050 ⇒ 00:25:29.500 Awaish Kumar: Let’s complete the remaining features.
287 00:25:29.500 ⇒ 00:25:30.040 gowtham: Apparently.
288 00:25:30.580 ⇒ 00:25:31.569 Awaish Kumar: Oh, yeah.
289 00:25:33.560 ⇒ 00:25:34.390 Girish: Devoted.
290 00:25:37.500 ⇒ 00:25:38.190 Girish: So, I mean…
291 00:25:38.190 ⇒ 00:25:43.329 Awaish Kumar: Yeah, the team is our contact for all the detention.
292 00:25:44.570 ⇒ 00:25:46.540 Awaish Kumar: the Eden ELT team.
293 00:25:47.180 ⇒ 00:25:48.760 Girish: Oh, okay, we’ve got it, yeah.
294 00:25:49.160 ⇒ 00:25:51.789 Awaish Kumar: Yeah, they are basically the point of contact for…
295 00:25:51.890 ⇒ 00:25:56.230 Awaish Kumar: Or any data engineering requirements, or anything, yeah.
296 00:25:57.230 ⇒ 00:26:02.040 Girish: So, from your side, robot, is the… Yeah. Robot is a present, okay.
297 00:26:02.990 ⇒ 00:26:03.820 Girish: That’s about it.
298 00:26:05.970 ⇒ 00:26:13.410 Girish: So, I mean, for these requirements, how you are getting, The data engineering side requirements.
299 00:26:13.540 ⇒ 00:26:17.090 Girish: Is it the same in Monday only? It’s your tracking?
300 00:26:18.690 ⇒ 00:26:23.760 Awaish Kumar: So, for data engineering requirements, we used to get through, maybe.
301 00:26:25.060 ⇒ 00:26:31.049 Awaish Kumar: Sana or something, but now, right now, we are just getting it on Slack or in meetings.
302 00:26:31.340 ⇒ 00:26:42.749 Awaish Kumar: Maybe Monday, Can, yeah, be used, but we have our internal project management tool, like, linear.
303 00:26:42.900 ⇒ 00:26:50.660 Awaish Kumar: So, once we get a request through… from any of the select channels anywhere, we just put it in linear, where we track all of our work.
304 00:26:51.810 ⇒ 00:26:52.470 Girish: Okay.
305 00:26:54.380 ⇒ 00:26:57.110 Girish: So, as you said, I mean, currently, ETL team is,
306 00:26:58.240 ⇒ 00:27:10.009 Awaish Kumar: Yeah, like, Robert is leading Eden team from Brainford’s side. We support data engineering and analytics, and then, basically, the Robert is the one that meets with ELT team and
307 00:27:10.440 ⇒ 00:27:13.590 Awaish Kumar: Shares our progress and all of that, and they are the one.
308 00:27:13.740 ⇒ 00:27:17.740 Awaish Kumar: Making the decisions on it, but sometimes these requirements are…
309 00:27:18.000 ⇒ 00:27:23.799 Awaish Kumar: Can come from anyone, because we are integrated with, like, for example, marketing team.
310 00:27:25.110 ⇒ 00:27:31.329 Awaish Kumar: finance team, so they come up with, okay, I need a new dashboard, I need this data, I need this report, and…
311 00:27:31.430 ⇒ 00:27:37.479 Awaish Kumar: Then we figure out how to get it, what tools we should be using, what sources we get the data from.
312 00:27:37.950 ⇒ 00:27:40.169 Awaish Kumar: And, yeah, that’s how we work.
313 00:27:41.360 ⇒ 00:27:42.239 Girish: Yeah, got it.
314 00:27:45.710 ⇒ 00:27:51.360 Girish: Yeah, I’ll talk to Robert as well, whenever he’s available, so that’ll give you more scope.
315 00:27:51.860 ⇒ 00:27:55.280 Girish: Yeah, thank you. Thank you for your time, Aviation.
316 00:27:55.520 ⇒ 00:27:58.619 Girish: Yeah, I just opened this link, it’s, I can see that.
317 00:27:59.240 ⇒ 00:28:00.130 Awaish Kumar: Okay.
318 00:28:00.130 ⇒ 00:28:01.109 Girish: It’s visible.
319 00:28:01.210 ⇒ 00:28:04.050 Girish: I think, let me check once again.
320 00:28:07.690 ⇒ 00:28:09.710 Girish: But can we continue with my tiers?
321 00:28:10.280 ⇒ 00:28:12.430 Girish: I can see now, yeah, thank you.
322 00:28:13.510 ⇒ 00:28:17.739 Girish: So, that’s it from us, and I think we got some, some insights.
323 00:28:18.170 ⇒ 00:28:25.630 Girish: If anything needs clarification, definitely.
324 00:28:25.630 ⇒ 00:28:30.919 Awaish Kumar: When OS launching, like, Today, or… yeah, it was already launched, you know, today.
325 00:28:30.920 ⇒ 00:28:36.950 Girish: Already lodged, I mean, custom events also, we have…
326 00:28:37.260 ⇒ 00:28:40.329 Girish: kept, one, one, one, one,
327 00:28:40.750 ⇒ 00:28:45.589 Girish: Discount, price discount is pending, that also we did.
328 00:28:45.700 ⇒ 00:28:48.680 Girish: We completed today, so that we are merging to production.
329 00:28:49.010 ⇒ 00:28:51.160 Girish: So… Okay.
330 00:28:51.160 ⇒ 00:28:55.040 Awaish Kumar: Is this platform going live anytime soon?
331 00:28:55.660 ⇒ 00:28:57.620 Girish: It’s already live.
332 00:28:58.210 ⇒ 00:28:58.909 Awaish Kumar: are making…
333 00:29:00.100 ⇒ 00:29:06.660 Girish: Yeah, it’ll start. I mean, already a couple of users, so… Eternal users.
334 00:29:06.770 ⇒ 00:29:08.560 Girish: completed the… Purchase?
335 00:29:08.560 ⇒ 00:29:09.280 Awaish Kumar: Okay.
336 00:29:09.280 ⇒ 00:29:15.300 Girish: And it went, ryan, actually, yesterday, he set up the ads campaign.
337 00:29:15.440 ⇒ 00:29:17.130 Girish: So now, it is going live.
338 00:29:17.390 ⇒ 00:29:18.130 Girish: Initially.
339 00:29:18.130 ⇒ 00:29:18.490 Awaish Kumar: so…
340 00:29:18.490 ⇒ 00:29:20.400 Girish: Less person… less person is related.
341 00:29:21.080 ⇒ 00:29:26.740 Awaish Kumar: Okay, so, like, are we planning to move all of the data, BASC data, to Eden West?
342 00:29:26.740 ⇒ 00:29:32.140 Girish: No, no, I’m not sure about those. Maybe, Ryan… Aware of that.
343 00:29:34.280 ⇒ 00:29:35.750 Awaish Kumar: Okay.
344 00:29:36.570 ⇒ 00:29:41.209 Girish: So the other piece, I’m not sure much about that. We need to check with Ryan.
345 00:29:42.220 ⇒ 00:29:45.610 Awaish Kumar: Okay, so the order discounts that are coming in, so can you…
346 00:29:45.770 ⇒ 00:29:49.789 Awaish Kumar: Also, share how… where… in what table that will get entered.
347 00:29:49.960 ⇒ 00:29:50.980 Awaish Kumar: And then…
348 00:29:52.570 ⇒ 00:29:59.129 Girish: On a table… I’ll check with Matthias, so he did that, so I’ll… I’ll respond to you.
349 00:30:00.150 ⇒ 00:30:00.790 Awaish Kumar: Okay.
350 00:30:01.020 ⇒ 00:30:04.009 Girish: So, one of the developer meetings, so he worked on that.
351 00:30:05.530 ⇒ 00:30:06.480 Awaish Kumar: Yeah, okay.
352 00:30:06.480 ⇒ 00:30:08.549 Girish: We need to see where exactly made changes.
353 00:30:09.640 ⇒ 00:30:10.240 Awaish Kumar: Okay.
354 00:30:13.750 ⇒ 00:30:14.750 Awaish Kumar: Okay, yeah, thank you.
355 00:30:16.000 ⇒ 00:30:23.340 Girish: That’s it, Avishk Kumar Insurance. Thanks a lot for your time, really appreciate spending time here.
356 00:30:23.340 ⇒ 00:30:24.950 Zoran Selinger: No worries, thank you, guys.
357 00:30:25.190 ⇒ 00:30:25.929 Girish: Thank you.
358 00:30:26.480 ⇒ 00:30:26.870 Awaish Kumar: Thank you.
359 00:30:27.150 ⇒ 00:30:33.119 Girish: Thank you. So, you’re working based out of, which time zone? U.S. time zone, or IST?
360 00:30:34.400 ⇒ 00:30:48.269 Zoran Selinger: Yeah, so I’m in… I’m in Europe, so I’m just basically doing a few meetings over the… over the US time zone, but I’m also… I’m generally gonna be more available in the… in European morning.
361 00:30:48.610 ⇒ 00:30:49.330 Girish: Okay.
362 00:30:49.550 ⇒ 00:30:50.170 Zoran Selinger: Yeah.
363 00:30:50.900 ⇒ 00:30:53.180 Girish: So, obviously, you are for your, which type?
364 00:30:53.180 ⇒ 00:30:55.939 Awaish Kumar: Yeah, I mean, usually right now, but…
365 00:30:56.820 ⇒ 00:30:59.650 Awaish Kumar: Yeah, I mostly work on Eastern Time Zone.
366 00:31:00.020 ⇒ 00:31:01.400 Girish: Eastern table, okay, okay.
367 00:31:03.570 ⇒ 00:31:06.070 Girish: Thank you, thank you, thank you, Erwin.
368 00:31:06.070 ⇒ 00:31:06.740 Zoran Selinger: That’s implant.
369 00:31:06.880 ⇒ 00:31:07.640 Girish: Bye.