Meeting Title: Data Service Standup Date: 2026-01-30 Meeting participants: Awaish Kumar, Ashwini Sharma, Mustafa Raja, Clarence Stone, Demilade Agboola
WEBVTT
1 00:01:05.470 ⇒ 00:01:06.163 Ashwini Sharma: Yeah, we.
2 00:01:08.650 ⇒ 00:01:09.260 Awaish Kumar: Hello.
3 00:01:12.430 ⇒ 00:01:13.380 Awaish Kumar: Prodie done.
4 00:01:14.870 ⇒ 00:01:15.730 Ashwini Sharma: Yeah, I’m good, man.
5 00:01:19.640 ⇒ 00:01:20.470 Mustafa Raja: A…
6 00:03:05.800 ⇒ 00:03:06.930 Awaish Kumar: Hi, everyone.
7 00:03:09.250 ⇒ 00:03:09.800 Mustafa Raja: 8.
8 00:03:12.360 ⇒ 00:03:14.499 Awaish Kumar: Let’s wait for a minute,
9 00:03:15.070 ⇒ 00:03:17.649 Awaish Kumar: To see if Autom joins, otherwise we can start.
10 00:03:45.430 ⇒ 00:03:47.299 Awaish Kumar: I think we can start.
11 00:03:49.850 ⇒ 00:03:57.009 Awaish Kumar: Starting with Magic Spoon, So, yeah, like, yesterday I heard that we are going to close out on
12 00:03:57.190 ⇒ 00:03:58.300 Awaish Kumar: QA added.
13 00:03:59.020 ⇒ 00:04:01.140 Awaish Kumar: Some data modeling work.
14 00:04:01.460 ⇒ 00:04:06.740 Awaish Kumar: So, Demolari, are you… did you want to give updates on your side?
15 00:04:09.290 ⇒ 00:04:14.749 Demilade Agboola: So from my side, in terms of, like, the client, we have a meeting with the client in about…
16 00:04:14.900 ⇒ 00:04:16.930 Demilade Agboola: Two and a half, two and a half hours.
17 00:04:17.209 ⇒ 00:04:30.260 Demilade Agboola: So the idea is we’re trying to wrap up everything prior to that. I know that from my end, like, what I’m handling, I will be done with that, and we will just, like, walk through it in the call with the client.
18 00:04:30.650 ⇒ 00:04:37.130 Demilade Agboola: I know we’ve been able to try and, like, ship out some new data cuts to the client about…
19 00:04:37.500 ⇒ 00:04:41.660 Demilade Agboola: like, just the aggregations they wanted to see from the QA.
20 00:04:41.940 ⇒ 00:04:48.520 Demilade Agboola: So we will just try and confirm that the client is happy with everything by the call today.
21 00:04:49.590 ⇒ 00:04:50.370 Awaish Kumar: Okay.
22 00:04:51.760 ⇒ 00:04:57.079 Awaish Kumar: Okay, so, okay, you will be, like, updating the client today in your call.
23 00:04:59.820 ⇒ 00:05:01.139 Demilade Agboola: Yes, yes, we will.
24 00:05:01.610 ⇒ 00:05:04.980 Awaish Kumar: Okay, then… Actually.
25 00:05:07.690 ⇒ 00:05:14.360 Ashwini Sharma: Yeah, so, I think Utam shared that sheet, which I had prepared, and now the data looks pretty good.
26 00:05:15.140 ⇒ 00:05:20.149 Ashwini Sharma: We didn’t have the platform data to compare it against.
27 00:05:20.650 ⇒ 00:05:21.370 Awaish Kumar: Yeah, but I…
28 00:05:21.370 ⇒ 00:05:21.970 Ashwini Sharma: to…
29 00:05:22.650 ⇒ 00:05:23.110 Awaish Kumar: Yeah, we…
30 00:05:23.110 ⇒ 00:05:23.909 Ashwini Sharma: Yeah, yeah.
31 00:05:23.910 ⇒ 00:05:30.630 Awaish Kumar: I think we don’t want to talk about individual tickets in the stand-up, if you just give overall, like, how…
32 00:05:30.770 ⇒ 00:05:31.470 Awaish Kumar: We are doing.
33 00:05:31.470 ⇒ 00:05:32.170 Ashwini Sharma: Yeah, I think…
34 00:05:32.170 ⇒ 00:05:34.070 Awaish Kumar: Compared to Gelter. Yeah.
35 00:05:34.760 ⇒ 00:05:44.410 Ashwini Sharma: Yeah, overall, we’re good with this. Linear is updated, we need to have, today we’ll have a discussion with them, and then there will be further updates after that.
36 00:05:45.100 ⇒ 00:05:49.080 Awaish Kumar: Okay, so this… this QA audit, is it done on…
37 00:05:49.960 ⇒ 00:05:53.499 Ashwini Sharma: So, yeah, they will have to say yes, and then we’ll mark it as done.
38 00:05:54.000 ⇒ 00:05:56.019 Awaish Kumar: Of course, I like to kind.
39 00:05:56.020 ⇒ 00:06:03.029 Ashwini Sharma: From our side, it is done, yeah. We have some data, right? We have presented the aggregated data at different levels.
40 00:06:04.520 ⇒ 00:06:05.000 Awaish Kumar: And then…
41 00:06:05.000 ⇒ 00:06:06.490 Ashwini Sharma: They should agree on that, yeah.
42 00:06:06.910 ⇒ 00:06:09.369 Awaish Kumar: I still don’t see the tickets…
43 00:06:11.870 ⇒ 00:06:16.740 Ashwini Sharma: So after the meeting, we’ll create further tickets, because at this point, I’m not sure what is the next step now.
44 00:06:17.430 ⇒ 00:06:20.829 Awaish Kumar: Okay, yeah, but I’m… like, Demilada is working on something.
45 00:06:21.600 ⇒ 00:06:25.079 Awaish Kumar: I don’t see it here. Like, I don’t know if there’s issue in…
46 00:06:25.080 ⇒ 00:06:25.720 Ashwini Sharma: Medicine.
47 00:06:25.720 ⇒ 00:06:26.260 Awaish Kumar: Because…
48 00:06:26.260 ⇒ 00:06:31.510 Demilade Agboola: I think it’s in the next cycle. It’s put in the next cycle. So check cycle 4, please.
49 00:06:32.550 ⇒ 00:06:33.120 Awaish Kumar: Taker 4?
50 00:06:33.120 ⇒ 00:06:35.129 Demilade Agboola: Yes, that before. Yes, please.
51 00:06:35.700 ⇒ 00:06:37.150 Demilade Agboola: Yes, so that is it.
52 00:06:38.670 ⇒ 00:06:43.960 Awaish Kumar: Okay, we might have to… Work on linear for a little bit.
53 00:06:46.360 ⇒ 00:06:48.439 Ashwini Sharma: Yeah, I’ll clean that up after this meeting.
54 00:06:48.580 ⇒ 00:06:52.179 Ashwini Sharma: Probably not after this meeting, but, in the second half.
55 00:06:52.640 ⇒ 00:06:53.350 Awaish Kumar: Okay.
56 00:06:53.660 ⇒ 00:06:58.190 Awaish Kumar: Great, so I think we are going to deliver these models and the
57 00:06:58.350 ⇒ 00:07:03.280 Awaish Kumar: And the Q audit sheet today, and have some meeting with client today.
58 00:07:04.540 ⇒ 00:07:05.890 Awaish Kumar: That’s all right.
59 00:07:08.530 ⇒ 00:07:09.130 Ashwini Sharma: Yep.
60 00:07:09.370 ⇒ 00:07:10.020 Awaish Kumar: Okay.
61 00:07:11.100 ⇒ 00:07:13.949 Awaish Kumar: Okay, moving on to the next client.
62 00:07:14.350 ⇒ 00:07:15.959 Awaish Kumar: We have here…
63 00:07:20.330 ⇒ 00:07:21.310 Awaish Kumar: Hedra.
64 00:07:21.500 ⇒ 00:07:29.509 Awaish Kumar: For Hydra, since Utam is not here, I’m just going to give update that it’s… it’s, like, we…
65 00:07:30.010 ⇒ 00:07:33.339 Awaish Kumar: Need somebody to just talk to Jim and come up with some,
66 00:07:34.270 ⇒ 00:07:36.929 Awaish Kumar: scope, I think Utah is going to do that.
67 00:07:38.290 ⇒ 00:07:44.189 Awaish Kumar: Yeah, that’s all… And then we can move on to CTA.
68 00:07:44.900 ⇒ 00:07:52.289 Awaish Kumar: I, I see… some tickets here, since also Tom is not here.
69 00:07:52.460 ⇒ 00:08:00.800 Awaish Kumar: I just want to… We’ll get, as an EP, get some updates from you, actually.
70 00:08:02.020 ⇒ 00:08:15.190 Ashwini Sharma: So, CTA, I’ve created these tickets, we’ll have to divide it between you, myself, and Utam on who wants to take up which ticket. This is for the member engagement, modeling, data modeling, for many… member engagement.
71 00:08:15.860 ⇒ 00:08:16.620 Awaish Kumar: Okay.
72 00:08:17.850 ⇒ 00:08:18.860 Awaish Kumar: Okay, so…
73 00:08:18.860 ⇒ 00:08:23.689 Ashwini Sharma: So that, that is our target delivery next, next week, by Friday or Thursday.
74 00:08:24.180 ⇒ 00:08:27.049 Ashwini Sharma: So if we can do it, then…
75 00:08:27.300 ⇒ 00:08:29.060 Ashwini Sharma: I think that would be fantastic.
76 00:08:30.800 ⇒ 00:08:31.580 Awaish Kumar: Okay.
77 00:08:31.860 ⇒ 00:08:35.909 Awaish Kumar: So what we are doing today, is there anything planned for today?
78 00:08:36.789 ⇒ 00:08:42.719 Ashwini Sharma: For today, we can start with any modeling, you know, whoever is available.
79 00:08:42.999 ⇒ 00:08:46.649 Ashwini Sharma: Pick up something from this list of tickets, and then start modeling.
80 00:08:47.090 ⇒ 00:08:50.170 Awaish Kumar: But, like… I think you should,
81 00:08:50.640 ⇒ 00:08:56.409 Awaish Kumar: Put tickets, which needs to be finished this week, in this cycle, and move others in the next cycle.
82 00:08:57.310 ⇒ 00:09:02.190 Ashwini Sharma: This cycle, there is nothing, right? I mean, today is Friday, I don’t think anything will be finished today.
83 00:09:02.190 ⇒ 00:09:05.490 Awaish Kumar: Yeah, just move them all to the next cycle.
84 00:09:05.970 ⇒ 00:09:07.260 Ashwini Sharma: This is next cycle, right?
85 00:09:08.580 ⇒ 00:09:12.030 Awaish Kumar: It says to do in cycle, in this cycle, crime cycle, right?
86 00:09:12.960 ⇒ 00:09:16.759 Ashwini Sharma: This is all in 8. I think I put it in 9, no?
87 00:09:17.310 ⇒ 00:09:18.440 Ashwini Sharma: Hold on a second.
88 00:09:19.790 ⇒ 00:09:29.630 Awaish Kumar: Yeah, but that’s okay. We can just put it in next cycle, these tickets, and maybe we can meet right after the meeting to assign these tickets to…
89 00:09:29.780 ⇒ 00:09:32.509 Awaish Kumar: The individuals who are going to work on it.
90 00:09:33.380 ⇒ 00:09:34.350 Awaish Kumar: Yeah. Okay.
91 00:09:35.750 ⇒ 00:09:43.710 Awaish Kumar: And, and for this week, we are… We are good with,
92 00:09:43.850 ⇒ 00:09:47.669 Awaish Kumar: Like, all the updates we shared with client and we have for the client.
93 00:09:48.070 ⇒ 00:09:51.860 Ashwini Sharma: Yeah, we also have a meeting in a short while, with CTA.
94 00:09:52.410 ⇒ 00:09:53.290 Ashwini Sharma: So…
95 00:09:54.920 ⇒ 00:09:55.980 Awaish Kumar: Yeah, okay.
96 00:09:58.050 ⇒ 00:10:10.860 Awaish Kumar: then, yeah, we can also then move on to the next plant, which is basically Element. For Element, since Putam is not here, I’m going to give some updates on
97 00:10:10.990 ⇒ 00:10:17.800 Awaish Kumar: on what’s going on with the client. So, basically, I think we are on track, we’ve finalized,
98 00:10:18.580 ⇒ 00:10:25.249 Awaish Kumar: We are finalizing wholesale work for them. We have the documentation and stuff, so for the wholesale.
99 00:10:25.660 ⇒ 00:10:26.600 Awaish Kumar: Is it…
100 00:10:27.090 ⇒ 00:10:33.209 Awaish Kumar: It was a kind of a milestone, which we wanted to achieve this week, and I think we are very close to that.
101 00:10:33.380 ⇒ 00:10:42.060 Awaish Kumar: that will be done today, and apart from that, I think for this week, we… that’s all… that’s the target, right? That’s all.
102 00:10:43.440 ⇒ 00:10:48.069 Awaish Kumar: We had our check-in meeting yesterday, it went well, so all good here.
103 00:10:52.810 ⇒ 00:10:55.709 Awaish Kumar: Then we have little ABC, I think.
104 00:10:55.900 ⇒ 00:10:59.899 Awaish Kumar: And for ABC, I would…
105 00:11:03.270 ⇒ 00:11:09.970 Mustafa Raja: Yeah, so, we were able to ingest the data, for, G4 into BigQuery.
106 00:11:10.210 ⇒ 00:11:12.340 Mustafa Raja: So that’s good now.
107 00:11:17.370 ⇒ 00:11:21.429 Awaish Kumar: Okay, we ingested data, but what we are working today?
108 00:11:22.020 ⇒ 00:11:24.200 Awaish Kumar: Like, what we are going to work on.
109 00:11:24.740 ⇒ 00:11:29.530 Mustafa Raja: Yeah, so for today, I don’t think, for the data side we have anything.
110 00:11:29.870 ⇒ 00:11:30.620 Awaish Kumar: Okay.
111 00:11:30.800 ⇒ 00:11:34.700 Mustafa Raja: There’s some stuff for Andy, but that’s for the app development, right?
112 00:11:36.050 ⇒ 00:11:45.630 Awaish Kumar: I think then it’s more of a question between, I think, for Utam, that what we are going to, like, most… we have ingested the data, I think.
113 00:11:45.850 ⇒ 00:11:46.330 Awaish Kumar: Amber?
114 00:11:46.330 ⇒ 00:11:49.999 Mustafa Raja: has been Yeah, Amber is going to do some analysis on that.
115 00:11:50.220 ⇒ 00:12:01.339 Awaish Kumar: Yeah, and then, like, I’m going to meet with them to figure out if we have any kind of modeling, or if we want to talk about some other plans here, but I think we are good on the data side for the client.
116 00:12:01.940 ⇒ 00:12:02.550 Mustafa Raja: Okay.
117 00:12:06.730 ⇒ 00:12:08.369 Awaish Kumar: Moving on to default.
118 00:12:10.530 ⇒ 00:12:20.640 Awaish Kumar: for here, we wanted… we discussed to set up the modeling yesterday, that system swimming progress, and then some GitHub actions. So…
119 00:12:21.150 ⇒ 00:12:23.890 Awaish Kumar: Yeah, Demi, how’s… how’s it going?
120 00:12:25.230 ⇒ 00:12:35.230 Demilade Agboola: So for dbt Core, to be honest, I haven’t fully set up the, dbt Core to Mother Doc, but I should finish that today, and it will just be…
121 00:12:35.630 ⇒ 00:12:38.279 Demilade Agboola: Two hours of work tops, just,
122 00:12:39.510 ⇒ 00:12:42.370 Demilade Agboola: accessing dbt, connecting it to the…
123 00:12:43.030 ⇒ 00:12:46.720 Demilade Agboola: Mother Doc instance, and having that ready.
124 00:12:47.710 ⇒ 00:12:50.410 Demilade Agboola: So yeah, that will be done today. That should be done today.
125 00:12:51.220 ⇒ 00:12:54.840 Awaish Kumar: Okay, yeah. Did you want to just give some client heartbeat?
126 00:12:55.670 ⇒ 00:12:56.690 Awaish Kumar: Updates?
127 00:12:58.530 ⇒ 00:12:59.819 Demilade Agboola: Sorry, I didn’t, I didn’t have that.
128 00:13:00.480 ⇒ 00:13:05.529 Awaish Kumar: Yeah, I mean, just… Like, updates on the client. How is it going with the client?
129 00:13:06.010 ⇒ 00:13:12.470 Demilade Agboola: Oh yeah, so far at the clients, they seem fine with what we’re doing. They’re still excited about what we have to offer.
130 00:13:13.450 ⇒ 00:13:18.469 Demilade Agboola: I mean, obviously, the blockers are still not really things that we…
131 00:13:19.000 ⇒ 00:13:22.880 Demilade Agboola: At fault for, but we want to be able to get to…
132 00:13:23.410 ⇒ 00:13:26.729 Demilade Agboola: A point where we can provide value before things, like.
133 00:13:26.920 ⇒ 00:13:34.700 Demilade Agboola: Start to, you know, change, because clients can be happy, and very next week, all of a sudden, they’re very unhappy, because they want to see some end products.
134 00:13:34.990 ⇒ 00:13:42.610 Demilade Agboola: So yeah, we’re trying to ensure I just put some pressure on the S3, so we can at least know we’re not blocked and we can keep pushing things forward.
135 00:13:42.800 ⇒ 00:13:48.720 Demilade Agboola: So I’ll reach out to Nadica. Nadica is their… the person on their team who is trying to set up the S3.
136 00:13:49.000 ⇒ 00:13:53.909 Demilade Agboola: I’m just trying to see if that’s been done so we can, you know, move forward with all of that.
137 00:13:54.780 ⇒ 00:13:55.530 Awaish Kumar: Okay.
138 00:13:57.090 ⇒ 00:13:59.730 Awaish Kumar: I think this meeting already… we already…
139 00:14:00.080 ⇒ 00:14:04.240 Awaish Kumar: Yeah, it’s a question for Christopher, right? We already had this meeting, right?
140 00:14:06.070 ⇒ 00:14:06.490 Demilade Agboola: So, for.
141 00:14:06.490 ⇒ 00:14:07.000 Mustafa Raja: The action.
142 00:14:07.000 ⇒ 00:14:13.499 Demilade Agboola: That’s a question for me. So, I didn’t have a meeting, I think for Stan, Stan sees the numbers, and he’s like.
143 00:14:13.640 ⇒ 00:14:20.780 Demilade Agboola: They’re fine, but ultimately, he wants numbers from Salesforce mixed with,
144 00:14:22.390 ⇒ 00:14:32.599 Demilade Agboola: Mixed with the sources from, like, the attribution, basically. So, first touch and all of that. But we don’t have that yet, because we haven’t yet ingested the data.
145 00:14:32.810 ⇒ 00:14:34.650 Demilade Agboola: So,
146 00:14:34.780 ⇒ 00:14:42.129 Demilade Agboola: the goal will be to, once we start ingesting Gita, to start putting everything together. That’s okay. So that he can see, yeah.
147 00:14:42.780 ⇒ 00:14:47.500 Awaish Kumar: My question was more, like, just for Muswa to see, like, if we have…
148 00:14:47.620 ⇒ 00:14:54.079 Awaish Kumar: already had that kind of sign-off, or if you want to push it out next week, or whatever, like…
149 00:14:54.080 ⇒ 00:15:06.779 Mustafa Raja: Yeah, so we, we didn’t have a conventional meeting, but, Demilade was able to maybe sign off, sign this off, with Stan, on Slack. I saw some conversation between them.
150 00:15:08.820 ⇒ 00:15:10.380 Awaish Kumar: Okay, then…
151 00:15:10.380 ⇒ 00:15:12.330 Mustafa Raja: We can close this off, yeah.
152 00:15:12.730 ⇒ 00:15:14.589 Awaish Kumar: It should have moved to Dan, okay.
153 00:15:15.750 ⇒ 00:15:19.220 Awaish Kumar: I think that’s… All done for this client.
154 00:15:19.640 ⇒ 00:15:24.990 Mustafa Raja: Yeah, I think GitHub Actions would be moved to next week, so I’ll move that.
155 00:15:25.170 ⇒ 00:15:26.150 Awaish Kumar: Yeah, okay.
156 00:15:26.440 ⇒ 00:15:31.020 Awaish Kumar: Yeah, so we are delivering this modeling work today.
157 00:15:32.120 ⇒ 00:15:32.710 Mustafa Raja: Yeah.
158 00:15:33.710 ⇒ 00:15:34.900 Awaish Kumar: That’s all for today.
159 00:15:35.530 ⇒ 00:15:38.529 Mustafa Raja: We would, we would also be doing the…
160 00:15:38.790 ⇒ 00:15:42.039 Mustafa Raja: Delivering the analysis for vendors.
161 00:15:42.710 ⇒ 00:15:43.989 Awaish Kumar: We’ll be closed out today.
162 00:15:44.340 ⇒ 00:15:44.870 Mustafa Raja: Yeah.
163 00:15:45.290 ⇒ 00:15:46.130 Awaish Kumar: Okay.
164 00:15:46.140 ⇒ 00:15:51.250 Mustafa Raja: There is one blocker, if that gets resolved, I’ll, I’ll push it to…
165 00:15:51.250 ⇒ 00:15:54.849 Awaish Kumar: That’s what I wanted to know. If there aren’t any blockers, flag them.
166 00:15:55.270 ⇒ 00:15:57.639 Awaish Kumar: And this is stand-up, so we know what’s…
167 00:15:58.170 ⇒ 00:15:59.240 Mustafa Raja: Yeah, sure.
168 00:15:59.730 ⇒ 00:16:09.670 Mustafa Raja: So there’s an API key that we need, that the client does not have, so I need to figure it out with them. I’m going to Slack them.
169 00:16:10.490 ⇒ 00:16:20.060 Awaish Kumar: That’s a blocker, and that’s… you need to flag, like, you can’t commit that it will be done this week, because we don’t know when you are going to get the key. Maybe you don’t get the key today.
170 00:16:20.200 ⇒ 00:16:20.960 Awaish Kumar: So…
171 00:16:21.290 ⇒ 00:16:22.190 Mustafa Raja: Okay, look.
172 00:16:22.260 ⇒ 00:16:24.860 Awaish Kumar: We will not be able to close this, so…
173 00:16:25.070 ⇒ 00:16:32.399 Awaish Kumar: Maybe just… if you… if you’re blocked, just mark it as blocked for now, and give… maybe write a comment here why you are blocked.
174 00:16:33.220 ⇒ 00:16:33.840 Mustafa Raja: Okay.
175 00:16:37.910 ⇒ 00:16:40.859 Awaish Kumar: Okay, moving on to the final client, Eden.
176 00:16:41.220 ⇒ 00:16:46.649 Awaish Kumar: Again, here, we don’t… we… I don’t think we have anything we are doing…
177 00:16:49.850 ⇒ 00:16:55.670 Awaish Kumar: for the client, but I want to close out on what Zoran is asking for.
178 00:16:58.680 ⇒ 00:17:04.509 Awaish Kumar: So if, like, if I get your help, actually, and Demi to close that out, That would be nice.
179 00:17:06.900 ⇒ 00:17:10.180 Awaish Kumar: That’s… investigation, I think, like.
180 00:17:10.750 ⇒ 00:17:16.329 Awaish Kumar: Like, if you just verify from your side that in the last 10 days we have data at different stages.
181 00:17:16.550 ⇒ 00:17:21.700 Awaish Kumar: And again, triage that, at least this today, we are good.
182 00:17:21.859 ⇒ 00:17:25.729 Awaish Kumar: We can share, like, we have figured out the root cause, and we are going to work with it.
183 00:17:27.240 ⇒ 00:17:32.319 Ashwini Sharma: Yeah, I think we had figured out that data is going, right? Data had gone, towards.
184 00:17:33.700 ⇒ 00:17:34.240 Awaish Kumar: Nope.
185 00:17:36.810 ⇒ 00:17:43.130 Awaish Kumar: Yeah, data is moving, that’s one thing, but Zoran says there is some missing thing, so we just need to…
186 00:17:43.720 ⇒ 00:17:44.810 Awaish Kumar: Show him.
187 00:17:45.120 ⇒ 00:17:52.850 Awaish Kumar: that, like, whatever the findings are, if we figure out… if we say, like, everything we are getting from APIs is pushed.
188 00:17:53.230 ⇒ 00:17:54.280 Awaish Kumar: Oh, perfect.
189 00:17:54.460 ⇒ 00:17:59.949 Awaish Kumar: Why, why, like, we have to clear him, like, why he’s… He has confusion.
190 00:18:06.650 ⇒ 00:18:12.300 Ashwini Sharma: Yeah, let’s get in touch with Zoran and figure this out, like, is it supposed to be more than that?
191 00:18:12.830 ⇒ 00:18:14.349 Ashwini Sharma: I think he just, at least.
192 00:18:14.350 ⇒ 00:18:17.259 Demilade Agboola: So the issue… the issue, Ashini, is that,
193 00:18:17.830 ⇒ 00:18:21.909 Demilade Agboola: the numbers that we’re seeing in North Beam do not align with the numbers that
194 00:18:21.980 ⇒ 00:18:38.990 Demilade Agboola: people are using UpFluence can see. So the idea is, we need to figure out where that disparity is coming in. So there are, like, different stages. Is the UpFluence API loading data into BigQuery, in the raw tables, that aligns with what they’re seeing in
195 00:18:39.380 ⇒ 00:18:47.169 Demilade Agboola: the Obluence UI. If it does, then it’s not Fluence, it’s not the AIM API, it’s what’s going on in dbt.
196 00:18:47.520 ⇒ 00:18:49.770 Demilade Agboola: And then if what’s going on in dbt.
197 00:18:50.010 ⇒ 00:18:57.620 Demilade Agboola: We can look through that and then figure out, okay, is it how we have, like, filters in there that are reducing the numbers?
198 00:18:57.770 ⇒ 00:19:02.340 Demilade Agboola: But if the numbers don’t align from the, like, API into BigQuery.
199 00:19:02.540 ⇒ 00:19:13.010 Demilade Agboola: we can then say it’s the API, and, you know, we need to figure out if we need to reach out to the upfluence team to figure out what the issue is. But the idea is, the numbers just don’t align from North Beam.
200 00:19:13.260 ⇒ 00:19:17.270 Demilade Agboola: to upload its UI, and so we need to figure out where that drop is coming from.
201 00:19:18.960 ⇒ 00:19:25.850 Awaish Kumar: Yeah, okay, I think we can discuss in detail in the Slack, but for now, I just want to mention here.
202 00:19:26.160 ⇒ 00:19:35.000 Awaish Kumar: like, we just want to close that out today. That’s the target for today. And, on the Eden OS side, we,
203 00:19:35.440 ⇒ 00:19:47.060 Awaish Kumar: I will be finishing up 1369 today, and… and I think that’s… That’s all for… for Eden, plus Remo.
204 00:19:51.210 ⇒ 00:19:55.299 Awaish Kumar: Okay, I think… We are good here, like…
205 00:19:55.880 ⇒ 00:20:02.489 Awaish Kumar: So, if anyone has any blocker, just please flag them, or let me know, like.
206 00:20:02.760 ⇒ 00:20:07.420 Awaish Kumar: Send in the slack so we can actually, collaborate and work on that.
207 00:20:10.580 ⇒ 00:20:11.690 Mustafa Raja: Okay. Okay.
208 00:20:11.810 ⇒ 00:20:13.010 Mustafa Raja: Thank you, everyone.
209 00:20:13.450 ⇒ 00:20:14.180 Awaish Kumar: Bye.
210 00:20:14.590 ⇒ 00:20:15.210 Mustafa Raja: Might.
211 00:20:15.560 ⇒ 00:20:16.619 Demilade Agboola: Thank you, bye.