Meeting Title: Data Service Standup Date: 2026-02-24 Meeting participants: Mustafa Raja, Ashwini Sharma, Demilade Agboola, Awaish Kumar
WEBVTT
1 00:00:56.300 ⇒ 00:00:57.570 Ashwini Sharma: Hey, Mustava.
2 00:01:00.590 ⇒ 00:01:01.560 Mustafa Raja: Hey, how are you?
3 00:01:01.880 ⇒ 00:01:03.090 Ashwini Sharma: I’m good, man. How are you?
4 00:01:03.370 ⇒ 00:01:04.450 Mustafa Raja: Yeah, doing good.
5 00:03:31.040 ⇒ 00:03:31.740 Awaish Kumar: Hello?
6 00:03:34.540 ⇒ 00:03:35.460 Awaish Kumar: Hello?
7 00:03:36.840 ⇒ 00:03:37.270 Ashwini Sharma: Hello.
8 00:03:37.270 ⇒ 00:03:37.860 Mustafa Raja: Yay.
9 00:03:39.300 ⇒ 00:03:40.679 Awaish Kumar: Yeah, can you hear me, guys?
10 00:03:40.910 ⇒ 00:03:41.590 Mustafa Raja: Yeah.
11 00:03:41.590 ⇒ 00:03:42.120 Ashwini Sharma: Yep.
12 00:03:43.130 ⇒ 00:03:43.820 Awaish Kumar: Okay.
13 00:03:44.320 ⇒ 00:03:49.249 Awaish Kumar: Yeah, I was… Trying to correct. My internet was a little bit slow.
14 00:03:49.430 ⇒ 00:03:55.260 Awaish Kumar: So, we are… For today, can… Aishini, can you share your screen, and…
15 00:03:55.650 ⇒ 00:03:56.450 Ashwini Sharma: Yeah, sure.
16 00:03:56.450 ⇒ 00:03:57.800 Awaish Kumar: And open the linear, yeah.
17 00:03:58.540 ⇒ 00:03:59.540 Ashwini Sharma: One second.
18 00:04:11.450 ⇒ 00:04:12.640 Awaish Kumar: Okay.
19 00:04:12.640 ⇒ 00:04:14.450 Ashwini Sharma: Where do we want to go?
20 00:04:14.850 ⇒ 00:04:22.789 Awaish Kumar: Yeah, starting with the Eden OS, we can go from there. I think we’ve worked on modeling tickets, and
21 00:04:23.070 ⇒ 00:04:27.949 Awaish Kumar: Oh, you’re not in the project yet?
22 00:04:29.040 ⇒ 00:04:29.950 Awaish Kumar: Paranoid?
23 00:04:31.150 ⇒ 00:04:34.889 Ashwini Sharma: Yeah, no, I used to see some issues. Today, I don’t see anything.
24 00:04:35.110 ⇒ 00:04:35.750 Awaish Kumar: Okay, alright.
25 00:04:35.750 ⇒ 00:04:37.679 Ashwini Sharma: Yeah, there it is, yeah, yeah.
26 00:04:38.690 ⇒ 00:04:47.729 Awaish Kumar: Yeah, so it’s the same, so no updates here. We did the modeling, we’re waiting for data, so all good here. Moving on to CTA,
27 00:04:47.900 ⇒ 00:04:51.860 Awaish Kumar: How… How’s it going?
28 00:04:52.290 ⇒ 00:04:59.129 Ashwini Sharma: So, yeah, I investigated, yeah, like, I worked on this particular task, I narrowed it down to air byte.
29 00:04:59.280 ⇒ 00:05:05.260 Ashwini Sharma: And, before I proceed with, you know, installing AirByte and, you know, extracting data, I just want…
30 00:05:05.260 ⇒ 00:05:06.379 Awaish Kumar: I have to check, yeah.
31 00:05:06.380 ⇒ 00:05:07.360 Ashwini Sharma: So you might have seen that.
32 00:05:07.360 ⇒ 00:05:07.940 Awaish Kumar: I just started…
33 00:05:07.940 ⇒ 00:05:08.540 Ashwini Sharma: Thumbs.
34 00:05:09.410 ⇒ 00:05:11.549 Awaish Kumar: I saw the message, but I’m just saying,
35 00:05:11.730 ⇒ 00:05:13.880 Awaish Kumar: Like, did you work on 62?
36 00:05:14.780 ⇒ 00:05:17.329 Ashwini Sharma: 62… no, no, I will…
37 00:05:17.330 ⇒ 00:05:17.830 Awaish Kumar: Surely.
38 00:05:17.830 ⇒ 00:05:22.259 Ashwini Sharma: No, no, I worked on this one. I’ll work on this one today. I’ll complete 62 today.
39 00:05:22.700 ⇒ 00:05:28.060 Awaish Kumar: Yeah, that… there’s, like, if we can complete that, and then we can look at the ETL thing, because that is…
40 00:05:28.780 ⇒ 00:05:30.460 Awaish Kumar: Kind of still.
41 00:05:31.210 ⇒ 00:05:33.330 Ashwini Sharma: Yeah, I’ll talk to Kyle before.
42 00:05:33.330 ⇒ 00:05:52.999 Awaish Kumar: I’m still waiting for the answers, final answers, so let’s see, okay. But I think, like, we need to move some things from our side, so ETL tool is kind of a blocker, but otherwise, we need to finish off, like, 62 and 82, and to be in good place for this week.
43 00:05:53.540 ⇒ 00:05:54.140 Ashwini Sharma: Yep.
44 00:05:54.630 ⇒ 00:05:59.180 Awaish Kumar: Then, moving on to Magic Spoon.
45 00:05:59.180 ⇒ 00:06:03.099 Ashwini Sharma: How is it going, Demi, with the renewal talks?
46 00:06:04.020 ⇒ 00:06:08.430 Ashwini Sharma: I don’t see that view for current cycle. Maybe we don’t have…
47 00:06:09.520 ⇒ 00:06:11.640 Awaish Kumar: Yeah, just click on Cycle 5.
48 00:06:15.710 ⇒ 00:06:16.740 Awaish Kumar: Yeah, Demi.
49 00:06:17.200 ⇒ 00:06:26.469 Demilade Agboola: So, for Magic Spoon, we’re just kind of waiting… we’re still in talks with them. I know Utam messaged me and asked me to see if I can have a conversation with Mary.
50 00:06:26.730 ⇒ 00:06:30.499 Demilade Agboola: But yeah, it’s one of those things where we’re still in negotiation right now.
51 00:06:30.940 ⇒ 00:06:31.890 Awaish Kumar: Okay, okay.
52 00:06:32.740 ⇒ 00:06:37.349 Awaish Kumar: Okay, that’s what I wanted to hear, like, we don’t have a decision yet on this.
53 00:06:37.830 ⇒ 00:06:39.210 Demilade Agboola: No, no, no decision yet.
54 00:06:39.630 ⇒ 00:06:40.410 Awaish Kumar: Okay.
55 00:06:41.270 ⇒ 00:06:47.259 Awaish Kumar: Moving on to Element… I think,
56 00:06:47.890 ⇒ 00:06:51.790 Awaish Kumar: For this client, things are going well, and
57 00:06:52.210 ⇒ 00:06:55.920 Awaish Kumar: like, the Amber is working on reporting part.
58 00:06:56.080 ⇒ 00:07:04.150 Awaish Kumar: She has done quite a lot of reporting for them, and I’m basically supporting her with all the modeling and the…
59 00:07:04.310 ⇒ 00:07:09.419 Awaish Kumar: and the QA part for the element, and I think,
60 00:07:09.730 ⇒ 00:07:12.300 Awaish Kumar: Yeah, we will be able to…
61 00:07:12.530 ⇒ 00:07:22.479 Awaish Kumar: deliver this reporting on these two domains. Apart from that, I have started ingestion of some of the connectors, and then,
62 00:07:23.190 ⇒ 00:07:36.169 Awaish Kumar: For the sum, we are, still waiting on polyatomics. So, overall, client health is… is well, and, no blockers. Right now.
63 00:07:36.370 ⇒ 00:07:44.370 Awaish Kumar: And, yeah, and for the photo day, we are focusing on closing out, the wholesale reporting part.
64 00:07:45.430 ⇒ 00:07:48.060 Awaish Kumar: Moving on, I think, to Eden.
65 00:07:49.050 ⇒ 00:07:56.620 Awaish Kumar: I heard your… I saw your message, Ashwini, On the uplifts,
66 00:07:56.830 ⇒ 00:08:04.560 Awaish Kumar: My question is just, like, now that we know from API, we are not able to me…
67 00:08:04.770 ⇒ 00:08:19.320 Awaish Kumar: get the exact data they need. So, but my just question is, is it possible to automate the pipeline using Google Sheet such that we can send updates daily to…
68 00:08:19.460 ⇒ 00:08:22.359 Awaish Kumar: North Beam, is it possible, or not?
69 00:08:23.380 ⇒ 00:08:35.350 Ashwini Sharma: So, there are three components here, right? One… two components major. One is a Google Sheet, which contains the latest data, and that comes from, you know, reading into contract files, which are there in Google Drive.
70 00:08:35.530 ⇒ 00:08:43.350 Ashwini Sharma: And, updating those sheet, right? That is one thing they are doing. Now, ideally, they should be updating on UpFluence also, when they update the sheet.
71 00:08:43.700 ⇒ 00:08:45.179 Ashwini Sharma: Which, they don’t do it.
72 00:08:46.640 ⇒ 00:08:54.960 Awaish Kumar: Yeah, my… my question is that the sheet they are updating, is it happening on a daily basis, weekly basis? Daily, daily. How does that happen?
73 00:08:54.960 ⇒ 00:08:55.730 Ashwini Sharma: It’s daily.
74 00:08:55.730 ⇒ 00:09:09.229 Awaish Kumar: Daily. So, can we use that sheet? Like, there is someone in the Eden that is filling that sheet. Can we read the data from that sheet, and on a daily basis, and send the updates to Northstream?
75 00:09:10.320 ⇒ 00:09:13.730 Ashwini Sharma: Yeah, yeah, so basically, we need to ingest that sheet, and then.
76 00:09:13.730 ⇒ 00:09:16.590 Awaish Kumar: Yeah, yeah, we can, we can use the polyatomic to ingest that.
77 00:09:16.590 ⇒ 00:09:26.440 Ashwini Sharma: Yeah, we can do that. That was the original thought, and then, like, you know, we started exploring the API route, because we thought that the data was available. Yeah.
78 00:09:26.440 ⇒ 00:09:30.600 Awaish Kumar: Yeah, I understand, like, but now that we know API is not working, I’m just…
79 00:09:31.190 ⇒ 00:09:36.549 Awaish Kumar: Asking if it is possible to use Google Sheet, we can do that. That will also be fine for them.
80 00:09:36.950 ⇒ 00:09:41.490 Ashwini Sharma: It is possible. I think one thing that I want to highlight over here is
81 00:09:41.600 ⇒ 00:09:45.999 Ashwini Sharma: This is a manual sheet, right? So, for example, like, February 2026 campaign.
82 00:09:46.000 ⇒ 00:09:50.840 Awaish Kumar: Yeah, we can discuss in detail in… afterwards, at the end of the stand-up, yeah.
83 00:09:51.940 ⇒ 00:09:53.510 Ashwini Sharma: Alright, yeah.
84 00:09:53.700 ⇒ 00:09:55.349 Ashwini Sharma: Let’s move on.
85 00:09:56.670 ⇒ 00:10:16.619 Awaish Kumar: But yeah, for the… one thing is this task. We need to close it out, this week. Let me know if I need to work on any ticket. You can create a ticket for me, Ashuni, I will just take it… work on that. Sure. And… but we just need to close this thing this week, anyway. Then we have,
86 00:10:17.030 ⇒ 00:10:19.790 Awaish Kumar: Omni migration, I think that’s…
87 00:10:20.500 ⇒ 00:10:25.819 Awaish Kumar: like, on the dashboarding side, I hope everything’s fine, Ms.fa. I didn’t heard back from you.
88 00:10:25.960 ⇒ 00:10:29.990 Awaish Kumar: So, I hope that you were able to create those charts.
89 00:10:30.420 ⇒ 00:10:38.169 Mustafa Raja: Yeah, so, I met with Demirade on those two charts. I think I’d need some DBD support on those.
90 00:10:38.600 ⇒ 00:10:42.229 Mustafa Raja: Omni isn’t able to do some of the calculations.
91 00:10:42.660 ⇒ 00:10:53.799 Mustafa Raja: that Tableau was doing to sort of support those charts, so Damilade would be helping me out there. Apart from that, I, built one more, dashboard.
92 00:10:54.280 ⇒ 00:10:56.729 Mustafa Raja: That was assigned to Demiladi.
93 00:10:56.730 ⇒ 00:10:59.640 Awaish Kumar: So, do you have tickets for that modeling request?
94 00:11:00.100 ⇒ 00:11:02.570 Mustafa Raja: No, no, I haven’t… I haven’t created that yet.
95 00:11:02.780 ⇒ 00:11:03.649 Awaish Kumar: Yeah, it’s…
96 00:11:03.940 ⇒ 00:11:09.709 Awaish Kumar: Yeah, so please create that, like, before this is sent up, so we know what… what needs to be…
97 00:11:10.060 ⇒ 00:11:11.690 Awaish Kumar: Happened the next…
98 00:11:13.400 ⇒ 00:11:27.649 Awaish Kumar: Okay, just have some tickets for the… for… like, if you think Demilhardi can take it, you can assign it to him. Otherwise, you can also assign it to… assign to me if Demilari doesn’t have time, and we can work on that.
99 00:11:27.890 ⇒ 00:11:31.920 Awaish Kumar: Yeah, and the third part is,
100 00:11:32.090 ⇒ 00:11:38.010 Awaish Kumar: the Xenoti GHL sync, and we already We are done with,
101 00:11:38.120 ⇒ 00:11:55.089 Awaish Kumar: Center to GHL part. We have delivered that for the other sync. We are also kind of done. I just have to create kind of a Loom video and send the deliverable out, and we will be done on that project as well. I think, overall, we are good.
102 00:11:55.290 ⇒ 00:11:59.039 Awaish Kumar: I’m fulfuff… For the client, Eden.
103 00:11:59.140 ⇒ 00:12:01.350 Awaish Kumar: On these three projects.
104 00:12:02.320 ⇒ 00:12:06.309 Awaish Kumar: Did we miss anything? Yeah, default.
105 00:12:06.310 ⇒ 00:12:09.170 Ashwini Sharma: Yeah, I don’t have default Anitra on my view.
106 00:12:09.170 ⇒ 00:12:14.859 Awaish Kumar: Okay. Okay, for default, like, Demi, if you can give updates?
107 00:12:17.190 ⇒ 00:12:22.120 Demilade Agboola: So for default, we are basically in,
108 00:12:24.070 ⇒ 00:12:29.780 Demilade Agboola: dashboard to QA, sort of, the data that we have, the data already exists in, like, the…
109 00:12:30.590 ⇒ 00:12:45.780 Demilade Agboola: the warehouse, and so that’s sort of what we’re focusing on for this week. We are also getting access to a couple more data sources that were supposed to be used further down the line, so we’re also ingesting that so that when we reach that point, we don’t have to wait for any access.
110 00:12:45.990 ⇒ 00:12:48.720 Demilade Agboola: So we’re, like, doing both things at the same time.
111 00:12:49.720 ⇒ 00:12:50.470 Awaish Kumar: Okay.
112 00:12:51.140 ⇒ 00:12:55.160 Awaish Kumar: So for the modeling side, are we done with the modeling?
113 00:12:56.400 ⇒ 00:13:03.990 Demilade Agboola: High level, yes. Based off the feedback from the QA, yes. We would have to… might need to change certain things, or model certain things.
114 00:13:04.320 ⇒ 00:13:05.600 Demilade Agboola: Okay. Yeah.
115 00:13:06.470 ⇒ 00:13:12.099 Awaish Kumar: So, what is the deliverable? We are just going to deliver a tables, sheet, or…
116 00:13:12.100 ⇒ 00:13:12.520 Demilade Agboola: dashboard.
117 00:13:12.520 ⇒ 00:13:14.420 Awaish Kumar: put it in Omni.
118 00:13:14.850 ⇒ 00:13:16.729 Demilade Agboola: Omni, Omni Dashboards is deliverable.
119 00:13:16.730 ⇒ 00:13:17.440 Awaish Kumar: Okay.
120 00:13:17.670 ⇒ 00:13:22.720 Awaish Kumar: So did… okay, did default, like, actually have their own instance, or…
121 00:13:22.720 ⇒ 00:13:23.240 Mustafa Raja: Yeah, dude.
122 00:13:23.240 ⇒ 00:13:25.210 Awaish Kumar: We are using our own instance.
123 00:13:26.350 ⇒ 00:13:29.140 Demilade Agboola: They have their instance, and so we’re building in their instance.
124 00:13:30.040 ⇒ 00:13:37.679 Awaish Kumar: Okay, okay. So, I just asked him because initially we started on our own, so… Okay, great.
125 00:13:37.680 ⇒ 00:13:44.770 Mustafa Raja: We’ve migrated over to their own instance. We had some dashboards in our instance for default, we have migrated those dashboards over.
126 00:13:45.010 ⇒ 00:13:45.700 Awaish Kumar: Okay.
127 00:13:46.950 ⇒ 00:13:49.320 Awaish Kumar: So I think,
128 00:13:49.640 ⇒ 00:13:55.579 Awaish Kumar: then we are good here. So, I think that’s the end of this stand-up, so…
129 00:13:55.810 ⇒ 00:14:01.469 Awaish Kumar: Is there anything else you wanna flag or discuss? We can do that.
130 00:14:06.270 ⇒ 00:14:09.429 Ashwini Sharma: Yeah, yeah, I wanted to discuss on that thing, right? So, basically.
131 00:14:09.430 ⇒ 00:14:10.940 Awaish Kumar: Yeah, yeah, how about…
132 00:14:11.220 ⇒ 00:14:17.399 Awaish Kumar: So, is there anything… if there is anything else, we can discuss that. Otherwise, ILS money will sync, and…
133 00:14:17.940 ⇒ 00:14:21.540 Awaish Kumar: Yeah, everybody else, you can, yeah, get back to work.
134 00:14:21.540 ⇒ 00:14:23.849 Ashwini Sharma: Demi, you can stay on, if you want here.
135 00:14:26.410 ⇒ 00:14:28.140 Demilade Agboola: Sure, I mean…
136 00:14:29.190 ⇒ 00:14:29.920 Ashwini Sharma: Yeah.
137 00:14:30.570 ⇒ 00:14:33.939 Ashwini Sharma: So, basically, like, this is the thing, right?
138 00:14:36.130 ⇒ 00:14:42.320 Ashwini Sharma: Yeah, so they change this every month, okay? So, last month it was January 2026 campaign.
139 00:14:42.440 ⇒ 00:14:45.099 Ashwini Sharma: And this was the list of active influencers.
140 00:14:45.280 ⇒ 00:14:51.010 Ashwini Sharma: This month it is February 2026 campaign, and this is the list of active influences. Now, what happens is…
141 00:14:51.010 ⇒ 00:14:51.540 Awaish Kumar: Okay.
142 00:14:51.540 ⇒ 00:14:52.270 Ashwini Sharma: Did…
143 00:14:52.460 ⇒ 00:15:02.059 Ashwini Sharma: updated regularly, but as per Zoran, what he saw is, like, several days into February, this sheet was not yet created.
144 00:15:03.610 ⇒ 00:15:04.460 Ashwini Sharma: Okay.
145 00:15:04.590 ⇒ 00:15:12.619 Ashwini Sharma: So, like, on February 1, maybe this sheet was not created. It got created on 4th or 5th, or, you know, some other date.
146 00:15:12.720 ⇒ 00:15:16.979 Ashwini Sharma: But once it is created, it is regularly updated. That is the scenario, right?
147 00:15:17.270 ⇒ 00:15:23.729 Ashwini Sharma: So, I don’t know how the Google Sheet connector of Polyatomic works, but if it is.
148 00:15:23.730 ⇒ 00:15:24.510 Awaish Kumar: What’s up, bro?
149 00:15:24.510 ⇒ 00:15:24.880 Ashwini Sharma: Yeah.
150 00:15:24.880 ⇒ 00:15:26.739 Awaish Kumar: There are a few things.
151 00:15:26.900 ⇒ 00:15:46.529 Awaish Kumar: number one, we need, like, we need to standardize the schema for the sheet. That means the column names and the sheet name, how they’ll name, like, the month, year, and then however, like, pattern we decide, and we can, send that to… we can, like, deliver…
152 00:15:46.610 ⇒ 00:15:48.160 Awaish Kumar: We can,
153 00:15:48.250 ⇒ 00:15:57.769 Awaish Kumar: send that to Mitesh, asking him that, like, we are trying to automate this process so that you can see the data regularly in Northbeam, and for that reason, we need your help
154 00:15:58.000 ⇒ 00:16:15.329 Awaish Kumar: to standardize this schema. So, when they name it in some standard fashion, our pipeline won’t fail. That’s the number one thing. Secondly, how your… you said how polyatomic will work? Like, we…
155 00:16:15.560 ⇒ 00:16:28.610 Awaish Kumar: We need to… Maybe, like, the polyatomic needs… for polyatomic, we need to select Basically, the… the sheet,
156 00:16:29.450 ⇒ 00:16:39.689 Awaish Kumar: in the UI, like, I actually just didn’t UI, so we just need to select in UI whatever new sheet comes in, and that is a manual thing still, so…
157 00:16:39.880 ⇒ 00:16:45.149 Awaish Kumar: for the… to make it automated, I… like, there is… there are some REST APIs.
158 00:16:45.390 ⇒ 00:16:48.259 Awaish Kumar: Using that, you can create a sync in Polytomic.
159 00:16:48.980 ⇒ 00:16:56.610 Awaish Kumar: So, for example, if we… We can have one task in Perl… in Daxter, which can run…
160 00:17:01.020 ⇒ 00:17:04.850 Ashwini Sharma: So, basically, like, one sheet will correspond to one table.
161 00:17:04.859 ⇒ 00:17:05.459 Awaish Kumar: If you…
162 00:17:05.460 ⇒ 00:17:06.260 Ashwini Sharma: volatomic?
163 00:17:07.270 ⇒ 00:17:11.849 Awaish Kumar: So, like, there are two ways. What do you think? Are there… how many rows are there?
164 00:17:13.530 ⇒ 00:17:14.920 Ashwini Sharma: Maybe 100 rows.
165 00:17:15.510 ⇒ 00:17:20.840 Awaish Kumar: Yeah, like, the one thing is that we can just ask them to, like, put it in the same
166 00:17:21.609 ⇒ 00:17:28.450 Awaish Kumar: sheet, right? They start just upend data, instead of moving on to another A tab, right?
167 00:17:28.760 ⇒ 00:17:32.320 Awaish Kumar: like, we can propose that if they agree. If not.
168 00:17:32.570 ⇒ 00:17:38.620 Awaish Kumar: Then this is, like, in the Dexter, you can create a pipeline which will just make a…
169 00:17:38.830 ⇒ 00:17:57.950 Awaish Kumar: the REST API, like, request for Polytomic, to create the sync. We already… we should have already established the connection, so we just need to create one more sync for this, and we can have this logic in the Daxter itself, that if the sheet for February exists, then only
170 00:17:58.090 ⇒ 00:18:04.849 Awaish Kumar: we can create this thing. If not, then just leave, and we can do it, maybe run it for…
171 00:18:05.230 ⇒ 00:18:08.869 Awaish Kumar: Past 7 days of a month, or something like that, so that
172 00:18:09.030 ⇒ 00:18:15.109 Awaish Kumar: We… if it is not created on first, second, third, it can… just created.
173 00:18:16.470 ⇒ 00:18:21.190 Ashwini Sharma: So, okay, hear me out, like, how about we do, like, something like this, right?
174 00:18:22.310 ⇒ 00:18:23.130 Ashwini Sharma: Okay.
175 00:18:23.530 ⇒ 00:18:31.040 Ashwini Sharma: Like, for example, this is Jan 2026, and for current, we always have the current sheet. Now, once…
176 00:18:31.150 ⇒ 00:18:37.109 Ashwini Sharma: you know, the new sheet is to be created, right? What they will do is, like, you’ll create another sheet, you’ll rename
177 00:18:37.230 ⇒ 00:18:42.780 Ashwini Sharma: basically copy whatever is over here into a sheet for February.
178 00:18:44.690 ⇒ 00:18:45.550 Ashwini Sharma: Yeah.
179 00:18:45.550 ⇒ 00:18:45.940 Awaish Kumar: Nick.
180 00:18:46.280 ⇒ 00:18:54.040 Awaish Kumar: Everything is all of… this is possible, right? Your solution also works, but thing is… only thing is that whatever they agree on.
181 00:18:55.590 ⇒ 00:18:56.580 Ashwini Sharma: Yeah, so…
182 00:18:56.580 ⇒ 00:19:00.320 Awaish Kumar: So it’s easier for the… for them to do. That is the whole point.
183 00:19:00.590 ⇒ 00:19:01.210 Ashwini Sharma: Yeah.
184 00:19:01.390 ⇒ 00:19:06.360 Ashwini Sharma: Because otherwise, the solution gets more and more complicated, right? They screw up the sheet, and.
185 00:19:06.360 ⇒ 00:19:12.060 Awaish Kumar: So, like, appending the data is the easiest one, right? For us, for them, for everyone.
186 00:19:12.060 ⇒ 00:19:16.599 Ashwini Sharma: If they can just append the same sheet, and, like, it’s not, like, a lot of data.
187 00:19:16.600 ⇒ 00:19:23.939 Awaish Kumar: they can append 100 rows down there, and they can do their analysis on some other sheets, whatever sheets they need. We don’t care, right?
188 00:19:24.690 ⇒ 00:19:32.210 Awaish Kumar: So this is the easiest one. You can propose that. If they agree, okay, that’s… that’s the best thing, right? So we can just read from that one sheet, that’s all.
189 00:19:32.560 ⇒ 00:19:38.629 Ashwini Sharma: Okay, yeah. Let’s propose both, and then see, you know, whatever they accept, I think that’s fine.
190 00:19:39.500 ⇒ 00:19:45.229 Awaish Kumar: And, yeah, but in the meantime, you can start,
191 00:19:45.410 ⇒ 00:19:50.309 Awaish Kumar: On your, like, we can establish the polyatomic connection with the spreadsheet.
192 00:19:50.490 ⇒ 00:19:53.379 Awaish Kumar: And we can start to ingest.
193 00:19:53.730 ⇒ 00:19:59.029 Awaish Kumar: And, build whatever downstream pipeline we need, like, if you need,
194 00:19:59.790 ⇒ 00:20:04.209 Awaish Kumar: like, whatever you are doing on top of the Google Sheets data, like the dbt modeling, or…
195 00:20:04.210 ⇒ 00:20:04.930 Ashwini Sharma: Yep, yay.
196 00:20:04.930 ⇒ 00:20:06.780 Awaish Kumar: I’m sending back to North Korean.
197 00:20:06.830 ⇒ 00:20:10.739 Ashwini Sharma: So you can work on that in parallel, and you can send this message out.
198 00:20:10.770 ⇒ 00:20:17.529 Awaish Kumar: to Eden, or with… maybe with Zoraun’s help, however you want to do, and get answer from Mitesh that…
199 00:20:17.730 ⇒ 00:20:19.759 Awaish Kumar: What… whatever they like.
200 00:20:20.420 ⇒ 00:20:26.389 Awaish Kumar: As a solution. And yeah, I would love to hear Demi’s thoughts, since he has more context on this.
201 00:20:27.000 ⇒ 00:20:33.960 Demilade Agboola: So I personally think that, like, for the historical data, so from everything from the past up till, like, this month.
202 00:20:34.230 ⇒ 00:20:38.690 Demilade Agboola: we can… we… we can create, like, a big sheet in…
203 00:20:39.330 ⇒ 00:20:43.630 Demilade Agboola: in, we can create a big sheet, and append everything together.
204 00:20:43.790 ⇒ 00:20:59.740 Demilade Agboola: And so we can just ingest it at once. I think what we have allows us to see, like, what we have through the UpLence API allows us to see what’s happening on a day-to-day, like, where we are… where the money is moving on a day-to-day, based off the snapshots, and we can use that going forward.
205 00:21:00.040 ⇒ 00:21:07.280 Demilade Agboola: Because even, like, the snapshot, like, for instance, things that appear in the API that don’t always necessarily appear in…
206 00:21:07.600 ⇒ 00:21:12.100 Demilade Agboola: the, like, appear to the users. So, for instance, we saw an instance where
207 00:21:12.540 ⇒ 00:21:16.170 Demilade Agboola: Someone had 8 orders, but they only saw 7.
208 00:21:16.830 ⇒ 00:21:20.829 Demilade Agboola: And… but when we dug deeper, there was actually 8 orders.
209 00:21:21.250 ⇒ 00:21:29.539 Demilade Agboola: not 7. So, it’s things like that. I feel like, especially if they now have, like, upfluence, and all they have to just do is manage the Fluence, UI.
210 00:21:29.760 ⇒ 00:21:36.659 Demilade Agboola: So the updates, like the, the monthly rates and things like that, I think it might be easier going forward.
211 00:21:37.070 ⇒ 00:21:43.599 Demilade Agboola: But in terms of, like, the historical data, yes, we don’t have that, and I don’t think there’s any way we can get that.
212 00:21:44.000 ⇒ 00:21:45.080 Demilade Agboola: So we’ll…
213 00:21:45.080 ⇒ 00:21:58.899 Awaish Kumar: Yeah, we don’t have to do anything about historical data right now, because, like, Zoran has been handling it manually. We’re focusing on, like, the whatever current plus future. So what do you think is the best?
214 00:21:59.030 ⇒ 00:21:59.580 Awaish Kumar: Thank you.
215 00:21:59.680 ⇒ 00:22:02.340 Demilade Agboola: I think… I think we can, from what we have…
216 00:22:02.460 ⇒ 00:22:08.959 Demilade Agboola: We can model what we, like, what we have, we can model how much is being spent every day for each, each, influencer.
217 00:22:09.070 ⇒ 00:22:12.250 Demilade Agboola: On each carpet I think, Ashwin…
218 00:22:12.500 ⇒ 00:22:17.799 Demilade Agboola: We have that right? Yeah, we have that. We have that for the commission amount.
219 00:22:17.800 ⇒ 00:22:21.550 Ashwini Sharma: What we didn’t have is the returner amount, and that is what we want from the sheet.
220 00:22:23.660 ⇒ 00:22:36.210 Demilade Agboola: The retainer amount… I think what we just need to do is tell them to update the retainer amount in UpFluence. That’s the problem. That’s what they haven’t done. Okay. So they’re updating it in the sheet, but they haven’t updated it in UpFluence, and so the API is sending us outdated data.
221 00:22:36.990 ⇒ 00:22:52.770 Awaish Kumar: So, like, that is also one, one thing which we can… so I think let’s ignore Google Sheet part, then I think we should maybe enforce that, like, we have automated it, we can tell Zoran. Like, our stance will be that
222 00:22:52.940 ⇒ 00:23:03.789 Awaish Kumar: we have built a pipeline, which is working fine. We are missing some data from the team, that needs… the data, retainer data, which needs to be in platform. So.
223 00:23:03.940 ⇒ 00:23:09.179 Awaish Kumar: Let’s try to enforce that, like, if team can do it in… update in Upland’s platform itself.
224 00:23:09.850 ⇒ 00:23:11.379 Awaish Kumar: If… if they…
225 00:23:12.110 ⇒ 00:23:16.419 Awaish Kumar: take care of it, then I think we are… we will be good in a good spot.
226 00:23:21.180 ⇒ 00:23:24.429 Ashwini Sharma: Yeah, there’s a if condition to that, right? If they do it.
227 00:23:24.660 ⇒ 00:23:26.300 Awaish Kumar: Yeah, yeah, so this is…
228 00:23:26.300 ⇒ 00:23:27.340 Demilade Agboola: I think, as we discussed…
229 00:23:27.930 ⇒ 00:23:38.129 Awaish Kumar: Yeah, we discussed a few alternatives, Ashwini, right? Number one, like, for us, what is the, like, the best possible case is they upload data in a flinch.
230 00:23:38.160 ⇒ 00:23:47.959 Awaish Kumar: we can suggest that. If they don’t agree, or whatever they say, we can then think about it. If they say no, then we can suggest an alternative.
231 00:23:48.070 ⇒ 00:23:50.060 Awaish Kumar: For now, I think that’s the best
232 00:23:50.750 ⇒ 00:24:01.049 Awaish Kumar: best possible solution we can recommend from us, our side, and we see if they agree, that’s okay. If they don’t, they say no, then we can suggest our alternative approach from Google Sheet.
233 00:24:01.850 ⇒ 00:24:05.429 Ashwini Sharma: Okay, yeah, I’ll draft 3 options for them.
234 00:24:05.680 ⇒ 00:24:07.940 Ashwini Sharma: What they can do, and… No, no.
235 00:24:07.940 ⇒ 00:24:09.079 Awaish Kumar: I think it’s true.
236 00:24:09.500 ⇒ 00:24:16.830 Awaish Kumar: I think, for now, just send the first option, the recommended one, right? Because if we say.
237 00:24:17.110 ⇒ 00:24:24.290 Awaish Kumar: all the options, they then will say, like, yeah, just go and do that, right? There is an alternative, just do that.
238 00:24:24.650 ⇒ 00:24:25.910 Ashwini Sharma: Okay.
239 00:24:25.910 ⇒ 00:24:26.360 Awaish Kumar: Let’s stop…
240 00:24:26.360 ⇒ 00:24:29.439 Ashwini Sharma: No, in the alternative, also, they have to do something, right?
241 00:24:29.600 ⇒ 00:24:30.230 Ashwini Sharma: Yeah, it’s…
242 00:24:30.230 ⇒ 00:24:38.150 Awaish Kumar: Yeah, yeah. So just give them best possible solution, like, this is our recommendation, that’s what we can do, and then let’s hear from them what’s their feedback.
243 00:24:38.560 ⇒ 00:24:46.510 Ashwini Sharma: Yeah, so there was the other thing also, right? Which is basically, right, the sheet that they have shared, right? This active influences.
244 00:24:47.090 ⇒ 00:24:50.050 Ashwini Sharma: That, we don’t have it from, this thing.
245 00:24:51.100 ⇒ 00:24:52.470 Awaish Kumar: We don’t have this in the airplane.
246 00:24:52.470 ⇒ 00:24:57.360 Ashwini Sharma: We don’t… yeah, we don’t have it from uplands. Like, we have a lot bigger list from uplands.
247 00:24:57.520 ⇒ 00:24:58.559 Ashwini Sharma: And that is…
248 00:24:58.560 ⇒ 00:24:59.180 Awaish Kumar: Oh.
249 00:24:59.180 ⇒ 00:25:01.039 Ashwini Sharma: Another issue, right?
250 00:25:01.040 ⇒ 00:25:08.079 Demilade Agboola: But I think… so the bigger list, I think, also contains people that… because the list contains people that also tried
251 00:25:08.930 ⇒ 00:25:11.159 Demilade Agboola: Like, applied, but were rejected.
252 00:25:11.530 ⇒ 00:25:16.960 Demilade Agboola: So, effectively, those people will not have been paid any money. So let’s try and look at people who have been paid money
253 00:25:17.120 ⇒ 00:25:25.299 Demilade Agboola: over the last, like, couple of days since we’ve done the snapshot. I don’t think it would be, like, it would only be people who are active and in the campaign.
254 00:25:26.960 ⇒ 00:25:37.730 Ashwini Sharma: So the list just contains every single person, people who applied to me in the campaign, who people who are attracted. Let me see this, and I’ll look into the data. If that is the case, well and good.
255 00:25:37.790 ⇒ 00:25:38.850 Demilade Agboola: Otherwise…
256 00:25:39.200 ⇒ 00:25:41.170 Ashwini Sharma: I mean… Yeah, let’s just…
257 00:25:41.170 ⇒ 00:25:41.590 Awaish Kumar: Listen again.
258 00:25:41.590 ⇒ 00:25:41.930 Ashwini Sharma: Yeah.
259 00:25:42.370 ⇒ 00:25:49.680 Awaish Kumar: That… that we can say by December, like, by month, right? If anyone who is being paid in this month, then he’s inactive.
260 00:25:49.980 ⇒ 00:25:54.620 Awaish Kumar: Partner, like, the partner, otherwise… is not.
261 00:25:54.850 ⇒ 00:25:59.219 Ashwini Sharma: Yeah, I’ll compare it, right? 56 records over here, right?
262 00:25:59.880 ⇒ 00:26:02.530 Ashwini Sharma: Total 56 influencers over here.
263 00:26:02.670 ⇒ 00:26:08.100 Ashwini Sharma: And I’ll look into the data that we have in droplets data that we have in this one.
264 00:26:08.100 ⇒ 00:26:14.810 Demilade Agboola: So I know we don’t have… we don’t have the entire, like, first, like, entire month so far, so it won’t… we might not… probably won’t be up to 56.
265 00:26:15.120 ⇒ 00:26:19.789 Demilade Agboola: But just to… just try and find everybody that their commissioned, like, how much they were paid.
266 00:26:19.890 ⇒ 00:26:29.560 Demilade Agboola: This month, or, like, since we started taking the snapshots, like, maybe 5 days ago, or 6 days ago. Since we started taking the snapshots, who are the people who are… who their amount paid to has increased.
267 00:26:30.070 ⇒ 00:26:46.130 Demilade Agboola: those are the people that we need to, like, those are the people we can consider active. I think that that would probably be, like, maybe 20 people, or so. We can just look at that number, and that would be the number of people that we know who are active, like, have been actively paid over the last 6 days, and so going forward, every day, we will know who has been paid.
268 00:26:46.290 ⇒ 00:26:47.840 Demilade Agboola: Based off the snapshots.
269 00:26:51.580 ⇒ 00:26:56.230 Ashwini Sharma: That would, okay, let me check that, if that’s the case,
270 00:26:56.550 ⇒ 00:26:59.530 Ashwini Sharma: Yeah, I’ll update in the channel once we’re done.
271 00:27:00.140 ⇒ 00:27:00.890 Demilade Agboola: Alright, thank you.
272 00:27:00.890 ⇒ 00:27:02.190 Awaish Kumar: Okay, thank you.
273 00:27:02.190 ⇒ 00:27:03.020 Ashwini Sharma: Yeah, thank you.