Meeting Title: Data Service Standup Date: 2026-02-18 Meeting participants: Awaish Kumar, Ashwini Sharma, Brylle Girang, Demilade Agboola, Mustafa Raja, Rico Rejoso
WEBVTT
1 00:04:01.160 ⇒ 00:04:02.320 Brylle Girang: Hello?
2 00:04:51.970 ⇒ 00:04:53.270 Awaish Kumar: How’s it going?
3 00:04:58.030 ⇒ 00:04:59.720 Brylle Girang: Good, good.
4 00:05:00.630 ⇒ 00:05:02.499 Demilade Agboola: I’m good, hope everyone’s doing well as well.
5 00:05:03.790 ⇒ 00:05:04.840 Awaish Kumar: Alright, great.
6 00:05:04.980 ⇒ 00:05:07.260 Awaish Kumar: I think we can start.
7 00:05:07.450 ⇒ 00:05:08.750 Awaish Kumar: Oh, now we…
8 00:05:09.500 ⇒ 00:05:18.639 Awaish Kumar: the stand-up, and starting with Eden Oz, Ashwini, can you give updates on how is it going with the…
9 00:05:19.710 ⇒ 00:05:30.069 Ashwini Sharma: And there is no data, so I’m… I’m still having a little bit of trouble in, creating those models without looking at data, plus some of the tables are missing, right, which are there in Basque.
10 00:05:32.050 ⇒ 00:05:37.110 Ashwini Sharma: Yeah, for order completed, order updated, those kind of tables are totally missing.
11 00:05:37.300 ⇒ 00:05:48.329 Awaish Kumar: Yeah, but we don’t need to go to the order completed, right? Order completed is just a bus table to get orders data, so you can… you can use the branch that I have
12 00:05:48.610 ⇒ 00:05:58.640 Awaish Kumar: like, I have a pull request open. You can use my branch to get access to tables like fact orders, and then just use that to get to getting… for getting the orders data.
13 00:05:58.820 ⇒ 00:06:05.169 Awaish Kumar: And for getting the spend data, we will use the same North Beam models that we are using right now.
14 00:06:06.500 ⇒ 00:06:12.010 Ashwini Sharma: Alright, let me see your pull request one, it’s in the…
15 00:06:12.010 ⇒ 00:06:14.739 Awaish Kumar: Which one? I know. So, sorry?
16 00:06:15.300 ⇒ 00:06:19.130 Ashwini Sharma: Sorry, it’s in the Eden branch only, right? Eden, this thing?
17 00:06:19.130 ⇒ 00:06:22.280 Awaish Kumar: Yeah, there is a polycost open in the same repo.
18 00:06:22.400 ⇒ 00:06:22.900 Awaish Kumar: Sure.
19 00:06:22.900 ⇒ 00:06:27.070 Ashwini Sharma: Okay, alright, alright, I’ll take a look at this, and then come up with other models.
20 00:06:27.070 ⇒ 00:06:40.570 Awaish Kumar: have some, like, orders. You get… use these tables for orders, use the same table for spend, and I know there’s no data. Just try to use the same, like, similar column names, and and create a table.
21 00:06:40.640 ⇒ 00:06:52.490 Awaish Kumar: And we, like, everybody knows that there’s no data, hence validation only starts when there’s a data, and we might have to make some adjustments, but we are going with, like, creating some base table right now.
22 00:06:53.450 ⇒ 00:06:55.419 Ashwini Sharma: Okay, I’ll create some of them.
23 00:06:56.160 ⇒ 00:07:01.900 Awaish Kumar: Okay, great. Moving on to Magic Spoons, how is it… Food.
24 00:07:02.010 ⇒ 00:07:04.090 Awaish Kumar: going with SOW and stuff.
25 00:07:04.520 ⇒ 00:07:10.679 Demilade Agboola: So we have a call, they’re reviewing the SOW, we have a call, like, I think immediately after this, so we can…
26 00:07:11.950 ⇒ 00:07:19.260 Demilade Agboola: discuss some of the numbers around it, but yeah, it does seem like they want to sign. We had a handover call yesterday.
27 00:07:19.590 ⇒ 00:07:24.890 Demilade Agboola: So it’s just basically, like, final negotiations and, ensuring that all of that is done properly.
28 00:07:26.350 ⇒ 00:07:26.780 Awaish Kumar: Okay.
29 00:07:26.780 ⇒ 00:07:27.930 Demilade Agboola: But yes, it’s fine.
30 00:07:28.550 ⇒ 00:07:34.690 Awaish Kumar: While we are working on contract renewal, is there anything we want to close out?
31 00:07:36.000 ⇒ 00:07:38.990 Demilade Agboola: Spins would be the main thing.
32 00:07:39.300 ⇒ 00:07:45.110 Demilade Agboola: I know, like, the historical backfield, as well as the, TDP SEV values.
33 00:07:46.020 ⇒ 00:07:50.839 Awaish Kumar: Okay, and for the, like, TDPSP values, I think we are blocked on spins, right?
34 00:07:51.150 ⇒ 00:07:52.070 Awaish Kumar: Did you get any.
35 00:07:52.070 ⇒ 00:08:01.159 Ashwini Sharma: gave an answer… they gave an answer. It’s not possible to do that using weekly data, so we’ll have to, you know, discuss with Magic Spoon team.
36 00:08:01.220 ⇒ 00:08:12.119 Ashwini Sharma: And then decide what will be our approach, like, I think most probably we’ll have to go with, extracting data for multiple time frames, for a weekly, four-week, and so on.
37 00:08:12.200 ⇒ 00:08:14.879 Ashwini Sharma: But yeah, that’s… that’s the case right now.
38 00:08:16.160 ⇒ 00:08:19.959 Awaish Kumar: Okay, then when, like, when are we going to update them by expose them?
39 00:08:21.180 ⇒ 00:08:30.240 Ashwini Sharma: It was an email, so they already know about it. But what we need to do is have a meeting with them, and then take the next steps.
40 00:08:32.789 ⇒ 00:08:34.000 Awaish Kumar: Yeah, like…
41 00:08:34.440 ⇒ 00:08:41.949 Awaish Kumar: that’s my question, like, what is the plan on our side? Like, are we meeting today, or sending an update on Slack, like…
42 00:08:42.289 ⇒ 00:08:45.119 Ashwini Sharma: Yeah, I’ll send an update in Slack only now.
43 00:08:45.259 ⇒ 00:08:47.389 Awaish Kumar: We don’t have a meeting with them today.
44 00:08:47.560 ⇒ 00:08:48.150 Demilade Agboola: Sure.
45 00:08:48.150 ⇒ 00:08:51.289 Ashwini Sharma: Oh, yeah, Demi has a meeting, but that’s a different context.
46 00:08:51.670 ⇒ 00:08:56.190 Demilade Agboola: Yeah, yeah, we have a meeting in Japan. So what I’m thinking is this, I think we need to…
47 00:08:56.580 ⇒ 00:08:59.310 Demilade Agboola: Just…
48 00:09:00.760 ⇒ 00:09:03.020 Ashwini Sharma: So, if we can have a meeting with, like, Michael.
49 00:09:03.180 ⇒ 00:09:06.479 Demilade Agboola: Talked, like, say what, say, the disparity.
50 00:09:06.620 ⇒ 00:09:13.219 Demilade Agboola: maybe get some context of what the disparity looks like. So, like, say if their TDP is this value, this is what we’re getting right now.
51 00:09:13.440 ⇒ 00:09:22.230 Demilade Agboola: If we take it by different, like, layers, so if we say 4 weeks and we do these different granularities, this is how much closer we can get.
52 00:09:22.690 ⇒ 00:09:23.690 Awaish Kumar: Alright.
53 00:09:23.690 ⇒ 00:09:30.289 Demilade Agboola: Maybe that would also give them an idea of how, like, if there are other things they can suggest to help us get closer.
54 00:09:30.960 ⇒ 00:09:35.290 Ashwini Sharma: No, it’ll be wrong, right? Those values are wrong, like, no matter how much you try…
55 00:09:35.290 ⇒ 00:09:42.240 Demilade Agboola: I know it’s going to be wrong. I just wanna… I just want us to be able to show that we’ve tried something, or we’ve tried different approaches.
56 00:09:42.850 ⇒ 00:09:46.259 Demilade Agboola: and… So it’s not like we’re just, like, looking at them, like…
57 00:09:46.260 ⇒ 00:09:46.660 Awaish Kumar: Nope.
58 00:09:46.660 ⇒ 00:09:52.299 Demilade Agboola: Can you give us something to do? Like, it’s more of, like, we’ve tried this thing, what suggestions do you have, if you know what I mean?
59 00:09:53.110 ⇒ 00:09:58.220 Awaish Kumar: So, I think my suggestion is, like, actually, we had a document, if you remember.
60 00:09:58.220 ⇒ 00:10:04.160 Ashwini Sharma: Yeah, yeah, I had a meeting with Mike, I explained to him, like, this is the situation. We have already tried multiple steps.
61 00:10:04.350 ⇒ 00:10:04.840 Awaish Kumar: Good luck.
62 00:10:04.840 ⇒ 00:10:13.309 Ashwini Sharma: out, and that was our final attempt, last attempt, at getting the answer from spins, which they were clear. They said it’s not possible, right?
63 00:10:13.310 ⇒ 00:10:13.960 Awaish Kumar: No, right?
64 00:10:13.960 ⇒ 00:10:15.100 Ashwini Sharma: I mean, yeah.
65 00:10:15.100 ⇒ 00:10:21.120 Awaish Kumar: say that in that document that we have, for instance, just at the end, write down
66 00:10:21.270 ⇒ 00:10:33.109 Awaish Kumar: We are suspend, that’s the reply, this is our recommendation, and just add it, your recommendation there, and send it out. When… whenever we are… you are sending updates, just link that document and
67 00:10:33.210 ⇒ 00:10:43.860 Awaish Kumar: And you can say, okay, we have recommendation at the bottom, like, okay, whatever we want to propose to them, if we want to propose that, okay, we will be getting this data
68 00:10:44.740 ⇒ 00:10:54.640 Awaish Kumar: by 4 weeks, 12 weeks, whatever, at whatever granularities. Just write your approach there, and, like, send it out that as our recommendation.
69 00:10:56.670 ⇒ 00:10:58.640 Ashwini Sharma: Yeah, yeah, I’ll add that in Slack.
70 00:10:58.980 ⇒ 00:10:59.520 Awaish Kumar: Yeah.
71 00:11:02.400 ⇒ 00:11:06.850 Awaish Kumar: Okay, that’s… and for historical backfills, I think that is on track.
72 00:11:08.780 ⇒ 00:11:11.949 Ashwini Sharma: Yeah, it’s not yet running right now, I’ll not run it.
73 00:11:12.190 ⇒ 00:11:15.360 Ashwini Sharma: Right now, until few questions are answered.
74 00:11:15.580 ⇒ 00:11:18.279 Ashwini Sharma: But yeah, the code is there in place.
75 00:11:20.920 ⇒ 00:11:21.680 Awaish Kumar: Okay.
76 00:11:22.280 ⇒ 00:11:22.819 Awaish Kumar: Would I…
77 00:11:22.820 ⇒ 00:11:29.880 Ashwini Sharma: I might have to modify it based on how the approach changes. Like, for example, if we have to extract data for multiple time frames.
78 00:11:29.980 ⇒ 00:11:32.690 Ashwini Sharma: That will need a slight modification, as well as
79 00:11:32.880 ⇒ 00:11:41.869 Ashwini Sharma: Michael is kind of modifying certain documents, indicating different filters to use. That will also lead to some of the modification.
80 00:11:42.940 ⇒ 00:11:52.239 Awaish Kumar: I get it, but that’s, like, the whole change of requirements, and this way, we are all… we’ll just continue to have one ticket, and
81 00:11:52.730 ⇒ 00:11:59.070 Awaish Kumar: keep adding stuff. Instead of doing that way, we should just close it with.
82 00:11:59.070 ⇒ 00:12:02.029 Ashwini Sharma: Yeah, we can close it, yeah, we can close the MEG14.
83 00:12:02.530 ⇒ 00:12:05.949 Awaish Kumar: And once we have new requirements, once we have new…
84 00:12:06.120 ⇒ 00:12:09.000 Awaish Kumar: way to get the TDP SCP values.
85 00:12:09.130 ⇒ 00:12:13.789 Awaish Kumar: We can then propose that that’s another ticket, and we are now working on this.
86 00:12:15.840 ⇒ 00:12:17.860 Ashwini Sharma: Yeah, I can, I can close 14 now.
87 00:12:17.860 ⇒ 00:12:18.460 Awaish Kumar: Okay.
88 00:12:21.980 ⇒ 00:12:27.150 Awaish Kumar: I think then we are… Okay, let’s… these are the priorities, let’s try to close these out.
89 00:12:27.150 ⇒ 00:12:33.750 Ashwini Sharma: We can close 5, because we have done the QA audit, right? We know it didn’t work out.
90 00:12:34.340 ⇒ 00:12:37.140 Ashwini Sharma: Perfect. Let’s close 14 also, that is also done.
91 00:12:38.380 ⇒ 00:12:43.460 Awaish Kumar: Yeah, like… That, like, you can do it afterwards, but my point is…
92 00:12:43.630 ⇒ 00:12:48.899 Awaish Kumar: Let’s just try to close it, spin’s… Related to us.
93 00:12:52.270 ⇒ 00:13:03.409 Awaish Kumar: Then moving on to HIRA, we already have all these, tables, and they are kind of…
94 00:13:05.140 ⇒ 00:13:09.070 Awaish Kumar: So, she now will be working on the modeling side.
95 00:13:09.250 ⇒ 00:13:16.980 Awaish Kumar: Then after our… once he starts more… he starts dashboarding, we might have some more…
96 00:13:17.160 ⇒ 00:13:21.300 Awaish Kumar: Models to create, but for now, we are good with whatever modeling
97 00:13:21.450 ⇒ 00:13:28.030 Awaish Kumar: Needs were on… in… on the… Hedra Moving on to CTA.
98 00:13:36.560 ⇒ 00:13:39.700 Awaish Kumar: Yeah, how is it going, Ashwini, on your side?
99 00:13:40.840 ⇒ 00:13:43.720 Ashwini Sharma: So we don’t have any work for CTA right now.
100 00:13:43.930 ⇒ 00:13:49.610 Ashwini Sharma: There was Shopify ingestion, I didn’t get any confirmation regarding the credentials.
101 00:13:50.060 ⇒ 00:13:51.599 Ashwini Sharma: Yesterday,
102 00:13:53.660 ⇒ 00:14:00.549 Ashwini Sharma: there is, one task that, was added, right? B added a task for this week.
103 00:14:01.520 ⇒ 00:14:04.500 Ashwini Sharma: Again, I don’t have any updates on that as well.
104 00:14:04.760 ⇒ 00:14:08.189 Ashwini Sharma: Because there is not updates, but clarification on that task.
105 00:14:11.220 ⇒ 00:14:12.669 Brylle Girang: With Uten.
106 00:14:12.670 ⇒ 00:14:13.819 Ashwini Sharma: Yeah, two-do cycles.
107 00:14:15.760 ⇒ 00:14:25.169 Brylle Girang: These two, those are for Otem’s clarification, so I sync with Ashwini yesterday, and we need to get more context on what we want to happen.
108 00:14:27.330 ⇒ 00:14:28.580 Brylle Girang: I’ll follow up with Udam.
109 00:14:28.580 ⇒ 00:14:35.340 Awaish Kumar: I mean, did we… did we sync with Utam on, Identity stitching part.
110 00:14:37.120 ⇒ 00:14:37.980 Ashwini Sharma: I haven’t.
111 00:14:39.040 ⇒ 00:14:39.820 Awaish Kumar: Brilliant.
112 00:14:40.550 ⇒ 00:14:42.180 Brylle Girang: Not… no, not yet.
113 00:14:43.120 ⇒ 00:14:48.149 Awaish Kumar: Okay, that is one of the open things for engagement report, and we should try to close that out.
114 00:14:49.200 ⇒ 00:14:49.890 Brylle Girang: Okay.
115 00:14:50.650 ⇒ 00:14:51.999 Awaish Kumar: Okay, yeah, like, lit.
116 00:14:52.590 ⇒ 00:14:59.629 Awaish Kumar: let’s get Utam’s feedback, and then assign it either to me or Ashwini on whatever next we have to do.
117 00:14:59.850 ⇒ 00:15:05.249 Awaish Kumar: Apart from that, what happened with Shopify connector issue?
118 00:15:08.770 ⇒ 00:15:11.139 Ashwini Sharma: For Shopify, we needed the credentials.
119 00:15:11.490 ⇒ 00:15:16.849 Ashwini Sharma: We should be able to create an app in Shopify store. We didn’t get the credentials from…
120 00:15:17.420 ⇒ 00:15:18.040 Ashwini Sharma: CDU.
121 00:15:18.630 ⇒ 00:15:20.899 Awaish Kumar: Yeah, but, okay, did we ask them?
122 00:15:20.900 ⇒ 00:15:21.850 Ashwini Sharma: What you did.
123 00:15:22.200 ⇒ 00:15:27.229 Awaish Kumar: And looked at, okay, like, are we… Following up on that?
124 00:15:28.060 ⇒ 00:15:30.400 Ashwini Sharma: We’ll have to follow up today now.
125 00:15:30.400 ⇒ 00:15:31.050 Awaish Kumar: Okay.
126 00:15:31.240 ⇒ 00:15:33.920 Ashwini Sharma: They didn’t reply yesterday, right? So…
127 00:15:40.370 ⇒ 00:15:58.250 Awaish Kumar: Okay, I think, like, Otam is not here right now, but I think it’s, we are a little bit disorganized on CTA. We need to get a bit more organized here on what we need to do, and I see these three tickets in progress, I’m not sure…
128 00:16:03.560 ⇒ 00:16:08.639 Awaish Kumar: Did, like… did Ashwini… do you have contacts, Ashwini, on these tickets, which are in progress?
129 00:16:08.970 ⇒ 00:16:17.390 Ashwini Sharma: Which one? Snowflake… this is what? Snowflake. No, these were… Utam was going to do these tickets, right?
130 00:16:20.900 ⇒ 00:16:23.280 Ashwini Sharma: Yeah, so I don’t have a context.
131 00:16:27.090 ⇒ 00:16:33.499 Awaish Kumar: Okay, so it’s… maybe he’s working on… oh… And, for this one?
132 00:16:33.680 ⇒ 00:16:42.810 Ashwini Sharma: Yeah, this, again, we need to sync up with Utam and, not Utham exactly, but with the CTA folks and figure out what exactly wants to be done in this one.
133 00:16:42.980 ⇒ 00:16:47.630 Ashwini Sharma: I’ll, I’ll, I’ll just start a third on… this particular ticket.
134 00:16:48.950 ⇒ 00:16:52.169 Awaish Kumar: Okay, let’s write down a few… one, two, three…
135 00:16:52.290 ⇒ 00:16:54.619 Awaish Kumar: Things which we want to,
136 00:16:54.850 ⇒ 00:17:02.389 Awaish Kumar: escalate or ask a CTA team, and first send it out to an internal channel, maybe get Sutam’s feedback, and then we can send it out to
137 00:17:02.520 ⇒ 00:17:03.709 Awaish Kumar: the external one.
138 00:17:05.490 ⇒ 00:17:12.049 Brylle Girang: Raisha Sweeney, do you want if we can schedule a sync with Utam, just to focus on the CTA task?
139 00:17:13.099 ⇒ 00:17:14.310 Brylle Girang: Would that be fine?
140 00:17:15.660 ⇒ 00:17:17.109 Ashwini Sharma: Yeah, I think we should do that.
141 00:17:17.710 ⇒ 00:17:26.000 Awaish Kumar: Yeah, but that’s what I want, like, for that sink, if we have that write-up, it will be easy for Utham to comment on those things.
142 00:17:27.050 ⇒ 00:17:30.960 Ashwini Sharma: Yeah, let’s start a thread in the internal channel, and…
143 00:17:30.960 ⇒ 00:17:40.710 Awaish Kumar: Like, write down one, like, one to three tickets, and whatever is pending, whatever is needed on that, send it out, and then we can have a meeting to go over those.
144 00:17:40.920 ⇒ 00:17:43.449 Awaish Kumar: points. It will be easy to…
145 00:17:43.790 ⇒ 00:17:46.710 Awaish Kumar: To go, like, cover everything.
146 00:17:57.840 ⇒ 00:17:59.940 Awaish Kumar: Does that sound okay, brilliant?
147 00:18:00.410 ⇒ 00:18:05.239 Brylle Girang: Yeah, yeah. I’m going to collect the tickets. I’m just working on Element right now, but after that, I’m…
148 00:18:05.470 ⇒ 00:18:06.990 Brylle Girang: Going to focus on this.
149 00:18:07.450 ⇒ 00:18:13.769 Awaish Kumar: Yeah, I mean, like, Ashwini has the things, like, you need to sync on CTS6,
150 00:18:14.130 ⇒ 00:18:19.479 Awaish Kumar: Ticket, and then we have to sync on item 3 engagement part, and then we
151 00:18:19.590 ⇒ 00:18:26.320 Awaish Kumar: we have a Shopify credentials thing, like, these are the three main Things that we need unsolved.
152 00:18:27.010 ⇒ 00:18:27.740 Brylle Girang: Okay.
153 00:18:29.360 ⇒ 00:18:35.720 Awaish Kumar: Then moving on to… element, I think,
154 00:18:38.240 ⇒ 00:18:43.010 Awaish Kumar: Yeah, like, we already raised whatever X needs we have.
155 00:18:43.120 ⇒ 00:18:45.360 Awaish Kumar: To the… to their tech team.
156 00:18:45.590 ⇒ 00:18:49.409 Awaish Kumar: Apart from that, models are ready.
157 00:18:49.810 ⇒ 00:18:55.359 Awaish Kumar: And our strategy team is working on reporting side.
158 00:18:55.860 ⇒ 00:18:59.880 Awaish Kumar: So, yeah, I think we are pretty much on track, I mean, it’s fine right now.
159 00:19:12.580 ⇒ 00:19:16.640 Awaish Kumar: Okay.
160 00:19:20.720 ⇒ 00:19:29.409 Awaish Kumar: Then, moving on to… We don’t have anything on IBC. Moving on to default.
161 00:19:30.950 ⇒ 00:19:33.799 Awaish Kumar: Demi, you can go on.
162 00:19:35.140 ⇒ 00:19:38.669 Demilade Agboola: So for default, the…
163 00:19:39.110 ⇒ 00:19:46.230 Demilade Agboola: from, like, we… to be fair, like, we need to… I will sync with them today, in terms of, like, letting them know what we’ve done so far.
164 00:19:47.590 ⇒ 00:19:54.829 Demilade Agboola: We do have a meeting with them tomorrow, so the thing today will just be, like, letting them know, like, what progress so far this week.
165 00:19:55.050 ⇒ 00:20:02.990 Demilade Agboola: Just, like, high-level progress so far this week before we have the call with them tomorrow, and just get, like, feedback on,
166 00:20:03.410 ⇒ 00:20:07.790 Demilade Agboola: What exactly, like, how they feel about the project so far, or, like, the project this week.
167 00:20:08.190 ⇒ 00:20:11.049 Demilade Agboola: But yes, that would be that.
168 00:20:12.240 ⇒ 00:20:14.079 Awaish Kumar: So, what is the plan for…
169 00:20:14.420 ⇒ 00:20:18.110 Awaish Kumar: Today, are we closing out this modeling work, or…
170 00:20:18.700 ⇒ 00:20:26.899 Demilade Agboola: Yeah, so the 250 and 249 are both in flight, like, I’m basically using just, high level, putting the models together.
171 00:20:29.450 ⇒ 00:20:39.810 Demilade Agboola: And the idea, yes, I will try and close it out today, but I do have, like, a lot of meetings in the early part of today, so I’ll try and use the later part of today to finish up the modeling.
172 00:20:40.780 ⇒ 00:20:41.829 Awaish Kumar: Yeah, hi, 20.
173 00:20:44.190 ⇒ 00:20:45.199 Demilade Agboola: It’s actually Mustafa.
174 00:20:45.200 ⇒ 00:20:46.330 Mustafa Raja: Oh, sorry.
175 00:20:46.330 ⇒ 00:21:10.300 Mustafa Raja: Yeah. Yeah, so, yeah, we are pretty much on track, and then, if you would open, 2.29, I have had some, some context on, hypotheses that I am building. So I have these, sort of four sources that I want to use to infer, okay, if the traffic data is correct or not, or if the traffic data does align, with these signals or not.
176 00:21:10.300 ⇒ 00:21:28.229 Mustafa Raja: So I would need your review, maybe after this meeting, you could take a look at this, before I go ahead and run my analysis. and, the first part of it is just going to be me, looking into SEMrush data, then I have to also take a look at the competitors, because SEMrush is charging them a lot.
177 00:21:28.230 ⇒ 00:21:31.499 Mustafa Raja: So they want to take a look at alternatives, too.
178 00:21:31.610 ⇒ 00:21:34.380 Mustafa Raja: So that’s pretty much it. That’s the update here.
179 00:21:34.380 ⇒ 00:21:38.800 Awaish Kumar: So, we are testing Samrich’s data, but what is the…
180 00:21:39.180 ⇒ 00:21:42.929 Awaish Kumar: like, what do we want to achieve with that testing? Do we… are we…
181 00:21:42.930 ⇒ 00:21:46.209 Mustafa Raja: Yeah, so, we just want, we just want to see…
182 00:21:46.430 ⇒ 00:21:58.719 Mustafa Raja: Yeah, yeah. So, so we want to see if the, if the traffic data, does make sense or not, right? So, the hypothesis here is, if the traffic data is,
183 00:21:58.720 ⇒ 00:22:22.450 Mustafa Raja: is spiking, from one month to another, so we might be able to see that in some Trustpilot reviews, in Google Trends, and stuff like that. And then, we, we would know that if a company has a huge sum of revenue, they would have a lot of traffic too, and if that aligns with, traffic, we would know that, okay.
184 00:22:22.450 ⇒ 00:22:30.619 Mustafa Raja: we would be able to identify outliers based on that. I guess, after this stand-up.
185 00:22:30.620 ⇒ 00:22:31.020 Awaish Kumar: Okay.
186 00:22:31.020 ⇒ 00:22:32.839 Mustafa Raja: Take a deeper look into… into the box.
187 00:22:34.050 ⇒ 00:22:38.810 Awaish Kumar: Yeah, moving on to Eden. Eden, I think we…
188 00:22:39.360 ⇒ 00:22:45.379 Awaish Kumar: Trying to close Control Center work, like, model. We need to add a few extra metrics here.
189 00:22:45.500 ⇒ 00:22:48.819 Awaish Kumar: Which I’m working on right now, and then…
190 00:22:50.690 ⇒ 00:22:54.119 Awaish Kumar: I think, migration part is also on track.
191 00:22:54.590 ⇒ 00:22:58.830 Awaish Kumar: So, Ashwini, how is it… Going with Aplin’s part.
192 00:23:00.440 ⇒ 00:23:09.150 Ashwini Sharma: Yeah, Florence, I looked into the data, it’s kind of like a… the snapshot that we created is capturing some extra items that we don’t need.
193 00:23:09.340 ⇒ 00:23:12.829 Ashwini Sharma: So, I’m kind of, refactoring that right now.
194 00:23:15.100 ⇒ 00:23:22.370 Ashwini Sharma: Before, we decide to send… for February, we’ll have to talk to Zora and send a manual update, but from March onwards, I think we can…
195 00:23:22.370 ⇒ 00:23:27.659 Awaish Kumar: From the previous snapshot, are we sending correct data to offline spend table?
196 00:23:28.090 ⇒ 00:23:29.510 Ashwini Sharma: No, we are not yet sending.
197 00:23:30.580 ⇒ 00:23:38.889 Awaish Kumar: Not to north-north Beam, but… are our models, like, we have an offline span model, which gets off-less data.
198 00:23:39.210 ⇒ 00:23:48.450 Awaish Kumar: from whatever Demi was getting already. So, if we have another way to now get the uploads data, we need to
199 00:23:48.780 ⇒ 00:23:52.890 Awaish Kumar: Pass, like, the correct data to our offline, like, span model.
200 00:23:53.460 ⇒ 00:23:54.390 Awaish Kumar: as well.
201 00:23:55.270 ⇒ 00:24:01.780 Ashwini Sharma: Yes, that refactoring has to be done, but we need to first ensure that we are capturing the correct data through our snapshot.
202 00:24:02.950 ⇒ 00:24:07.910 Awaish Kumar: So if we… yeah, that’s the point, like, I think that… That was the…
203 00:24:08.420 ⇒ 00:24:12.059 Awaish Kumar: the ticket even before that snapshot, right? So…
204 00:24:12.060 ⇒ 00:24:23.449 Ashwini Sharma: Yeah, the snapshot that was created, right, it is capturing some extra information that we do not need. Not extra, but it’s capturing, changes, even though no changes have occurred.
205 00:24:23.650 ⇒ 00:24:27.999 Ashwini Sharma: Okay. So I’m kind of refactoring that right now.
206 00:24:28.240 ⇒ 00:24:31.599 Ashwini Sharma: We need to ensure that only when something changes.
207 00:24:31.940 ⇒ 00:24:34.569 Ashwini Sharma: That’s relevant, we capture the data.
208 00:24:35.300 ⇒ 00:24:36.150 Awaish Kumar: Okay.
209 00:24:37.970 ⇒ 00:24:45.059 Awaish Kumar: And, yeah, okay, also… Let’s try to close this out as…
210 00:24:46.420 ⇒ 00:24:52.960 Awaish Kumar: As soon as possible, because this is going to… Like, trigger…
211 00:24:53.220 ⇒ 00:24:54.959 Ashwini Sharma: So this is already closed, right?
212 00:24:55.620 ⇒ 00:25:06.690 Awaish Kumar: I mean, the affluence sending data to North Beam, let’s try to do that full pipeline, such that, like, we… we get these, like, whatever Zoran is doing.
213 00:25:08.000 ⇒ 00:25:10.570 Awaish Kumar: Yeah. Manually, you just have to take over, take it over.
214 00:25:12.390 ⇒ 00:25:20.510 Awaish Kumar: I think, apart from that, we are good. We are at the end of this standoff. I just need to sync with Mustafa on that.
215 00:25:21.410 ⇒ 00:25:26.930 Awaish Kumar: Default ticket, otherwise, yeah, feel free, everybody, just feel free to get back to work.
216 00:25:28.570 ⇒ 00:25:29.850 Awaish Kumar: Thank you, everyone.
217 00:25:32.360 ⇒ 00:25:33.290 Brylle Girang: Thank you.
218 00:25:35.380 ⇒ 00:25:36.050 Awaish Kumar: Bye.
219 00:25:39.780 ⇒ 00:25:42.479 Awaish Kumar: Yeah. So, Muslim, my…
220 00:25:42.590 ⇒ 00:25:54.469 Awaish Kumar: point was… my question was that, is our… is our target that, okay, we want to just validate Samrish’s data, or we want to find out
221 00:25:55.890 ⇒ 00:26:03.950 Awaish Kumar: Samnish, like, we are comparing… Trying to find out alternative tools which can give same level of .
222 00:26:04.240 ⇒ 00:26:07.759 Mustafa Raja: Cheaper, let me ask.
223 00:26:07.760 ⇒ 00:26:08.619 Awaish Kumar: Try to let him.
224 00:26:09.360 ⇒ 00:26:14.830 Mustafa Raja: Okay, okay, okay, yeah. So, we need to do both.
225 00:26:15.600 ⇒ 00:26:26.769 Mustafa Raja: We need to do both, and we also need to, verify whatever, whatever, vendor we would be suggesting them. We would also want…
226 00:26:29.130 ⇒ 00:26:47.699 Mustafa Raja: want to tell them how good their data is, you know, even if you find the alternative. So, initially, the task was only to verify, or to see if, SEMrush data makes sense or not. But then SEMrush gave them a quote of.
227 00:26:47.700 ⇒ 00:26:52.519 Mustafa Raja: $170,000 per year, which is a lot.
228 00:26:52.720 ⇒ 00:27:01.220 Mustafa Raja: to default, so they now… they’re still interested in this, SEMrush data, but they also want to look into alternatives.
229 00:27:06.230 ⇒ 00:27:07.230 Mustafa Raja: Does that make sense?
230 00:27:08.220 ⇒ 00:27:16.920 Awaish Kumar: Yeah, yeah, okay, that makes sense, and we are… we are… okay, we are, like, these are our, like, hypotheses that.
231 00:27:18.250 ⇒ 00:27:18.830 Mustafa Raja: Yeah, yeah.
232 00:27:18.830 ⇒ 00:27:27.669 Awaish Kumar: higher… Traffic, have more reviews, and with… Companies with higher revenue.
233 00:27:27.670 ⇒ 00:27:29.130 Mustafa Raja: The strongest one would be this.
234 00:27:34.320 ⇒ 00:27:40.860 Mustafa Raja: Google Trends one, because, if we see spikes, we should see the spikes also in Google Trends and stuff.
235 00:27:41.950 ⇒ 00:27:50.910 Mustafa Raja: And then I also got some user data, from SEC, which might also help, looking into growth by traffic and stuff like that.
236 00:27:50.910 ⇒ 00:27:56.740 Awaish Kumar: So… Like, what user means here? The… The person…
237 00:27:56.740 ⇒ 00:27:57.450 Mustafa Raja: Zoom…
238 00:27:57.890 ⇒ 00:27:58.220 Awaish Kumar: Boom.
239 00:27:58.220 ⇒ 00:28:01.169 Mustafa Raja: means the… the…
240 00:28:01.360 ⇒ 00:28:10.879 Mustafa Raja: the person that’s registered in the tool, so some of these companies, well, only 17 out of 200 companies are disclosing, how many users they have.
241 00:28:11.450 ⇒ 00:28:12.050 Awaish Kumar: Okay.
242 00:28:13.510 ⇒ 00:28:14.609 Awaish Kumar: Okay, like, well.
243 00:28:14.610 ⇒ 00:28:16.600 Mustafa Raja: The number is small for the company.
244 00:28:17.030 ⇒ 00:28:17.580 Awaish Kumar: Monthly…
245 00:28:17.580 ⇒ 00:28:19.499 Mustafa Raja: It is what it is, right?
246 00:28:20.510 ⇒ 00:28:22.009 Mustafa Raja: Yeah, yeah, yeah, that’s correct.
247 00:28:22.290 ⇒ 00:28:29.850 Awaish Kumar: Then… okay, I think that should be able to cover, like, Google Trends is… Kind of.
248 00:28:30.340 ⇒ 00:28:32.060 Awaish Kumar: Seems to be much more…
249 00:28:35.230 ⇒ 00:28:40.109 Awaish Kumar: Kind of giving… Much more confident in that, giving that signal.
250 00:28:40.110 ⇒ 00:28:40.710 Mustafa Raja: Yeah.
251 00:28:40.940 ⇒ 00:28:41.780 Awaish Kumar: No.
252 00:28:42.430 ⇒ 00:28:49.700 Awaish Kumar: Okay, let’s, let’s… Is it possible to test it, like, once we try it.
253 00:28:49.700 ⇒ 00:28:50.380 Mustafa Raja: Hmm.
254 00:28:52.380 ⇒ 00:28:54.920 Awaish Kumar: For few companies, and…
255 00:28:57.360 ⇒ 00:29:13.769 Awaish Kumar: Yeah, we can compare, right? For example, if you find out one company which has higher traffic in Samrish, and then similarly it has high revenue, we can manually verify, like, not all, but we can manually verify 10 to 15 companies, and doing Google.
256 00:29:13.770 ⇒ 00:29:27.859 Mustafa Raja: Yeah, I think, I think, I have built, built a good, good set of CSVs based on all of these sources, and then based on seamless data that we have. So, I think, Python script might be able to, you know.
257 00:29:28.020 ⇒ 00:29:29.430 Mustafa Raja: Get this going.
258 00:29:29.660 ⇒ 00:29:33.420 Mustafa Raja: I’ll take a… I’ll take a snap at it, and I’ll let you know in the channel.
259 00:29:33.790 ⇒ 00:29:34.900 Awaish Kumar: Yeah, sure.
260 00:29:36.150 ⇒ 00:29:37.910 Awaish Kumar: Yeah, the… I think that…
261 00:29:37.910 ⇒ 00:29:40.879 Mustafa Raja: And then once we are done with the…
262 00:29:41.510 ⇒ 00:29:47.280 Awaish Kumar: I think approach seems fine to me. Maybe we can… use, like, Google Trends.
263 00:29:49.190 ⇒ 00:29:53.019 Awaish Kumar: Like, how is… how are you using… you are using all of four signals, right?
264 00:29:53.360 ⇒ 00:29:55.539 Awaish Kumar: With same weightage, or how…
265 00:29:56.580 ⇒ 00:29:57.800 Mustafa Raja: Yes.
266 00:29:58.690 ⇒ 00:30:12.070 Mustafa Raja: I haven’t decided the weightage, but yes, yes, they should be weights to these. Yeah. But I haven’t given it a thought on how much weight, which signal should have, which weight, you know.
267 00:30:13.170 ⇒ 00:30:18.170 Mustafa Raja: And of course, all of these are… Yeah, sorry, I’m going.
268 00:30:20.380 ⇒ 00:30:33.309 Awaish Kumar: Yeah, what I’m trying to say is that, like, for the ones which… where we have the data, if we have equal weights, that might not be a big problem, but the ones where we don’t have… we don’t have all four signals for, for example.
269 00:30:33.310 ⇒ 00:30:33.950 Mustafa Raja: Yeah.
270 00:30:34.160 ⇒ 00:30:38.940 Awaish Kumar: customer metric, we only have for 17. So, for 17, it will be a…
271 00:30:39.220 ⇒ 00:30:47.889 Awaish Kumar: It will be just giving more weight, and for all other 183 companies, it will just… Give zero weight.
272 00:30:48.640 ⇒ 00:30:51.820 Mustafa Raja: Yeah, yeah, it’ll skew the data.
273 00:30:54.520 ⇒ 00:31:00.279 Awaish Kumar: Maybe we can decide on where weightage is, like, maybe Google Trends has a higher rate.
274 00:31:01.070 ⇒ 00:31:06.160 Awaish Kumar: And then… revenue, file, things, maybe something like that.
275 00:31:07.110 ⇒ 00:31:08.100 Mustafa Raja: Yeah.
276 00:31:10.180 ⇒ 00:31:14.029 Awaish Kumar: Okay, yeah, try that, and you can see how it goes.
277 00:31:14.690 ⇒ 00:31:22.459 Mustafa Raja: Okay, okay, I’ll update in the channel on my progress. I just need… I just need to work on some Eden stuff, too.
278 00:31:22.760 ⇒ 00:31:32.139 Mustafa Raja: So I might first work on Eden, and maybe later in the day, I’ll work on, on this hypothesis. Yeah, but I…
279 00:31:32.280 ⇒ 00:31:33.559 Mustafa Raja: I’ll let you know.
280 00:31:34.340 ⇒ 00:31:36.369 Awaish Kumar: Okay, thank you. Bye.
281 00:31:37.290 ⇒ 00:31:38.510 Mustafa Raja: Thank you, have a good day.