Meeting Title: [Eden] Daily Standup Date: 2025-08-27 Meeting participants: Fireflies.ai Notetaker Tigran, Henry Zhao, Annie Yu, Andrew O’Neil, Amber Lin, Robert Tseng, Awaish Kumar
WEBVTT
1 00:05:22.660 ⇒ 00:05:23.790 Amber Lin: Hi there.
2 00:05:25.820 ⇒ 00:05:26.760 Henry Zhao: Amber….
3 00:05:27.060 ⇒ 00:05:27.910 Andrew O’Neil: Good morning.
4 00:05:28.350 ⇒ 00:05:31.120 Amber Lin: Morning. Let me pull up the near…
5 00:05:53.140 ⇒ 00:06:01.420 Amber Lin: Okay, let’s start with the roundtable. Andrew, what were you working on yesterday?
6 00:06:03.030 ⇒ 00:06:22.760 Andrew O’Neil: Yeah, I’ve been helping, Henry with the Northbeam, server-to-server integration. It’s been set up, but now we’re running into an issue where a good chunk of the revenue is getting… is falling into an unattributed bucket, which obviously is…
7 00:06:22.760 ⇒ 00:06:27.529 Andrew O’Neil: you know, for the Eden team, it’s making it hard to determine which
8 00:06:27.540 ⇒ 00:06:34.729 Andrew O’Neil: Investments in media are paying off, so we’re working to try to figure out how we can reduce that and get that cleaned up.
9 00:06:34.870 ⇒ 00:06:36.109 Henry Zhao: Yeah, so Andrew, just as a….
10 00:06:36.110 ⇒ 00:06:39.729 Robert Tseng: We reverted. Yeah, okay. You guys haven’t talked about this yet?
11 00:06:40.120 ⇒ 00:06:45.179 Henry Zhao: Andrew, we’re probably gonna be turning back, polyatomic for now.
12 00:06:45.910 ⇒ 00:06:50.439 Henry Zhao: Just because it’s messing up a lot of their data, and they need to have these signals, so…
13 00:06:51.130 ⇒ 00:06:55.309 Henry Zhao: Let me know when you have an update on that, so… we can probably just turn it off.
14 00:06:55.440 ⇒ 00:06:57.240 Henry Zhao: Or figure out what the next actions are.
15 00:06:58.300 ⇒ 00:07:03.119 Andrew O’Neil: Yeah, happy to… to turn that off. It’s… it’s… I have access to the Polyatomic platform.
16 00:07:03.320 ⇒ 00:07:04.070 Henry Zhao: Oh, okay.
17 00:07:06.140 ⇒ 00:07:07.060 Amber Lin: Okay, so….
18 00:07:07.060 ⇒ 00:07:07.709 Andrew O’Neil: that right now.
19 00:07:07.990 ⇒ 00:07:11.250 Amber Lin: Let me make a ticket for….
20 00:07:12.000 ⇒ 00:07:14.880 Henry Zhao: Yeah, can you make a ticket? And then, Awash, can you just turn that off?
21 00:07:15.680 ⇒ 00:07:17.709 Amber Lin: For… away, short of 4 Andrew?
22 00:07:17.970 ⇒ 00:07:22.809 Henry Zhao: Awash, and then… Awash, we don’t have to delete anything, let’s just turn it off and see if the data returns back to normal.
23 00:07:23.200 ⇒ 00:07:23.890 Henry Zhao: That’s what I’m most….
24 00:07:23.890 ⇒ 00:07:25.510 Awaish Kumar: Who will check the data?
25 00:07:25.570 ⇒ 00:07:28.110 Amber Lin: Or is the OH that’s gonna have to check the data?
26 00:07:29.270 ⇒ 00:07:31.250 Henry Zhao: I can just check the data after he turns it off.
27 00:07:31.250 ⇒ 00:07:31.940 Amber Lin: Okay.
28 00:07:36.270 ⇒ 00:07:37.390 Awaish Kumar: What is that?
29 00:07:40.550 ⇒ 00:07:43.299 Henry Zhao: Just the polyatomic connector that’s sending data to Northbeam.
30 00:07:43.300 ⇒ 00:07:44.859 Awaish Kumar: Lot stream, right?
31 00:07:44.860 ⇒ 00:07:45.740 Henry Zhao: Okay.
32 00:07:46.220 ⇒ 00:07:48.199 Henry Zhao: Just the words turned on, yep.
33 00:08:02.970 ⇒ 00:08:05.400 Amber Lin: Okay, …
34 00:08:09.500 ⇒ 00:08:11.430 Amber Lin: Henry, what did you work on yesterday?
35 00:08:12.170 ⇒ 00:08:21.000 Henry Zhao: Yesterday I finished the treatment, check-in reminders. I set it up in the CDP and checked it this morning, and it’s running properly.
36 00:08:21.120 ⇒ 00:08:28.129 Henry Zhao: So, very, very happy about that. It’s all… Judge just needs to set up the campaign in Customer I.O. now, and I need to…
37 00:08:28.430 ⇒ 00:08:31.180 Henry Zhao: add the Zendesk data.
38 00:08:31.590 ⇒ 00:08:33.299 Amber Lin: Okay, so that would be….
39 00:08:33.309 ⇒ 00:08:37.899 Henry Zhao: Pointing me in the right direction. Yeah, that’s this one. I’m gonna hopefully do… work on that today.
40 00:08:37.900 ⇒ 00:08:38.809 Amber Lin: Okay.
41 00:08:40.940 ⇒ 00:08:48.320 Henry Zhao: And then the LTV for general email list contacts, I haven’t heard anything about that yet, so let’s push that to next week, because it doesn’t seem to be that high prime.
42 00:08:49.050 ⇒ 00:08:51.429 Amber Lin: This one?
43 00:08:52.010 ⇒ 00:08:59.030 Amber Lin: So, I’ll say… End of this cycle… …
44 00:09:02.100 ⇒ 00:09:14.460 Amber Lin: Okay, so… Next week… … Seems like we have these… For next week, and then….
45 00:09:15.530 ⇒ 00:09:17.500 Henry Zhao: And then finish 6-2-2 for this week.
46 00:09:17.850 ⇒ 00:09:18.470 Amber Lin: Okay.
47 00:09:20.070 ⇒ 00:09:21.000 Amber Lin: Hmm…
48 00:09:24.340 ⇒ 00:09:27.480 Amber Lin: How much is the Zendesk gonna take?
49 00:09:27.790 ⇒ 00:09:29.079 Henry Zhao: Let’s do two points.
50 00:09:29.080 ⇒ 00:09:29.780 Amber Lin: Okay.
51 00:09:30.970 ⇒ 00:09:31.970 Amber Lin: Alright.
52 00:09:32.220 ⇒ 00:09:38.660 Amber Lin: … I’m gonna start with Awish, because you have less tickets. Awish, what did you do yesterday?
53 00:09:41.200 ⇒ 00:09:49.970 Awaish Kumar: I work on Catalysts, and, most of them, all the… Tickets related to it?
54 00:09:50.280 ⇒ 00:10:01.080 Awaish Kumar: And then, yeah, some discussion on this calculator data with Leon. That’s also done documentation from EMR, …
55 00:10:01.370 ⇒ 00:10:03.800 Awaish Kumar: That’s also done, like, we’ve gotten….
56 00:10:04.180 ⇒ 00:10:10.069 Awaish Kumar: proposal, and it’s up for review, for the road. Yeah, that’s…
57 00:10:10.240 ⇒ 00:10:12.900 Awaish Kumar: These things are done, and …
58 00:10:16.290 ⇒ 00:10:23.290 Awaish Kumar: Yeah, and also I looked at… I have synced up with any, … Marketing dashboard, and …
59 00:10:23.740 ⇒ 00:10:31.649 Awaish Kumar: Kind of. I have made the changes locally, but yeah, I still need to test and deploy. So that will be done today, and….
60 00:10:31.650 ⇒ 00:10:35.340 Amber Lin: Is… sorry, is that one your ticket?
61 00:10:41.120 ⇒ 00:10:45.979 Amber Lin: Should I change this ticket to your, to assign to you?
62 00:10:48.450 ⇒ 00:10:49.379 Awaish Kumar: Yeah.
63 00:10:49.590 ⇒ 00:10:50.180 Amber Lin: Okay.
64 00:10:50.820 ⇒ 00:10:51.930 Amber Lin: Orange.
65 00:10:52.920 ⇒ 00:10:56.300 Amber Lin: E2… Born.
66 00:11:01.060 ⇒ 00:11:01.580 Amber Lin: Okay.
67 00:11:01.580 ⇒ 00:11:02.110 Awaish Kumar: ….
68 00:11:02.110 ⇒ 00:11:04.390 Amber Lin: So… ….
69 00:11:04.390 ⇒ 00:11:08.079 Awaish Kumar: That one, and, yeah, 796 is…
70 00:11:08.230 ⇒ 00:11:15.429 Awaish Kumar: These work can be done today, and then I will start with 6 to 7 as well. Okay.
71 00:11:15.430 ⇒ 00:11:19.359 Amber Lin: Awesome. Yeah, it looks… looks like we have a good deadline there.
72 00:11:19.610 ⇒ 00:11:21.390 Amber Lin: Alright.
73 00:11:22.180 ⇒ 00:11:23.850 Amber Lin: And then…
74 00:11:27.340 ⇒ 00:11:30.799 Amber Lin: Okay is Robert here?
75 00:11:31.730 ⇒ 00:11:32.380 Robert Tseng: Yeah, I’m here.
76 00:11:32.380 ⇒ 00:11:38.049 Amber Lin: Hi, … Any updates here?
77 00:11:39.850 ⇒ 00:11:50.910 Amber Lin: Oh, mostly on this. I wasn’t able to attend the calls in our internal calls. Who was at the call with the clients yesterday?
78 00:11:51.270 ⇒ 00:11:56.450 Robert Tseng: … Yeah, I mean, I don’t know if I really want to rehash it here, but….
79 00:11:56.450 ⇒ 00:11:57.940 Amber Lin: I mean….
80 00:12:01.400 ⇒ 00:12:10.070 Robert Tseng: Henry was there, I think Henry and Demolade were there. … Yeah, I mean, basically…
81 00:12:12.610 ⇒ 00:12:27.109 Robert Tseng: Yeah, we’re… we’re… we’re turning off North Beam. I think, … yeah, not… not great, because we kind of just, like, let that linger for a couple weeks, but I don’t see… I don’t see us really solving it anytime soon, and it’s just gonna… it’s gonna be too… it’s gonna be too much to…
82 00:12:27.970 ⇒ 00:12:32.130 Robert Tseng: just keep feeling the same question every day. So, we’re reverting on that.
83 00:12:33.020 ⇒ 00:12:34.160 Robert Tseng: ….
84 00:12:35.770 ⇒ 00:12:37.429 Amber Lin: Okay. Yeah, I think that will….
85 00:12:37.740 ⇒ 00:12:44.420 Robert Tseng: bring the NCACs back to what they expected. Doesn’t mean that it will be right, but that’s… that’s just the decision we’ve made.
86 00:12:44.770 ⇒ 00:12:48.119 Robert Tseng: And then regarding marketing spends, …
87 00:12:48.230 ⇒ 00:12:52.739 Robert Tseng: I think… I don’t know who Mitesh has been calling, but they’re…
88 00:12:52.930 ⇒ 00:12:57.679 Robert Tseng: The marketing executive dashboard that we’ve built for them is closer
89 00:12:58.650 ⇒ 00:13:03.400 Robert Tseng: to what they expect. The snapshot dashboard that
90 00:13:03.630 ⇒ 00:13:15.149 Robert Tseng: we recently delivered to them, is just off. So, I think we’re just using different sources on marketing spends. I….
91 00:13:15.740 ⇒ 00:13:16.700 Amber Lin: I remember.
92 00:13:16.700 ⇒ 00:13:23.349 Robert Tseng: yeah, like, I think that’s… that’s just the… I don’t know why we’re using different sources for that, but that…
93 00:13:23.540 ⇒ 00:13:30.620 Robert Tseng: And I have not looked into it, but that just seems like, we were doing it right somewhere, and then it’s just….
94 00:13:30.620 ⇒ 00:13:30.970 Amber Lin: Interesting.
95 00:13:30.970 ⇒ 00:13:32.659 Robert Tseng: consistent across our reports, so….
96 00:13:34.060 ⇒ 00:13:44.259 Henry Zhao: Yeah, I’d say the good news is I’ve talked to Stuart a lot lately, I told him what Andrew’s working on, the other things we’re looking into, and also just communicating better, and he seems a lot happier now.
97 00:13:45.750 ⇒ 00:13:56.890 Henry Zhao: like, when I first started, there was a lot of things in all caps, like, why is this taking so long? And now he seems to, like, understand that this is a complex project, and … is giving us a little bit of wiggle room, so….
98 00:13:56.890 ⇒ 00:13:57.790 Amber Lin: In my.
99 00:13:58.200 ⇒ 00:14:00.120 Henry Zhao: That’s the bright side of this, at least.
100 00:14:00.550 ⇒ 00:14:01.320 Robert Tseng: Yeah.
101 00:14:01.570 ⇒ 00:14:11.650 Amber Lin: Should we put it into this cycle or next cycle to change the sources so that we can have one model going? No, like, this cycle.
102 00:14:11.650 ⇒ 00:14:21.089 Robert Tseng: and tags have been broken for 2 weeks, and marketing spend has been off for 2 weeks. Like, nothing else matters. Like, this is the only thing that they will be asking us about every single day.
103 00:14:22.990 ⇒ 00:14:25.519 Amber Lin: Okay, who will be taking this?
104 00:14:26.660 ⇒ 00:14:32.210 Awaish Kumar: Yeah, like, on the snapshot data, like, the Mayore was with… has built that model.
105 00:14:33.810 ⇒ 00:14:39.840 Awaish Kumar: So, we can ask… he can look at that first, otherwise I can also…
106 00:14:40.720 ⇒ 00:14:45.439 Awaish Kumar: Come in if there are more changes required on different other models.
107 00:14:48.140 ⇒ 00:14:48.770 Amber Lin: Yeah.
108 00:14:48.770 ⇒ 00:14:49.589 Robert Tseng: I mean, like.
109 00:14:49.590 ⇒ 00:14:50.300 Amber Lin: on the call.
110 00:14:50.300 ⇒ 00:15:08.900 Robert Tseng: You have to think about it from their perspective. We came in, we did all this data… I mean, this is… most of this predates most of you, but NCAC was the first thing that I addressed when I came onto this client, I guess in January, and it has been broken for two weeks. This is the only metric that the marketing team pays attention to on a daily basis. So, like.
111 00:15:09.350 ⇒ 00:15:14.530 Robert Tseng: Whatever else we’re doing is all kind of noise until they… until this is, like, kind of restored.
112 00:15:19.680 ⇒ 00:15:22.430 Amber Lin: The audit is not on this call.
113 00:15:23.410 ⇒ 00:15:33.359 Amber Lin: … I know he was ill on Monday, is he… Coming… is he working today?
114 00:15:33.360 ⇒ 00:15:37.110 Robert Tseng: There’s an Urban Stems fire, so I don’t think… I think that’s probably what he’s dealing with, yeah.
115 00:15:37.110 ⇒ 00:15:39.519 Amber Lin: I see, okay. So, I’ll assign.
116 00:15:39.520 ⇒ 00:15:44.359 Robert Tseng: Yeah, I don’t think he can handle it today. They’re kind of dealing with some blow-up over there, too.
117 00:15:44.360 ⇒ 00:15:49.689 Amber Lin: Oh, okay, so it was just… probably has to be you. Then we’ll have to push back the other ones.
118 00:15:50.590 ⇒ 00:15:54.319 Amber Lin: Unfortunate. How long would this take?
119 00:15:57.770 ⇒ 00:15:58.349 Amber Lin: 3 points.
120 00:16:00.690 ⇒ 00:16:05.580 Awaish Kumar: Okay, I will call it, like, 3 points here.
121 00:16:05.760 ⇒ 00:16:06.350 Amber Lin: Okay.
122 00:16:06.950 ⇒ 00:16:07.460 Amber Lin: Awesome.
123 00:16:07.460 ⇒ 00:16:22.100 Robert Tseng: I mean, why don’t we just change the model? In fact, Andy had it right in the original marketing executive dashboard. They seem fine with that. It’s only 5-7% off of what they expect. We should just use the same model for spends there.
124 00:16:22.600 ⇒ 00:16:28.590 Awaish Kumar: Yeah, it is… I think it’s just that, the snapshot, like.
125 00:16:28.730 ⇒ 00:16:31.980 Awaish Kumar: Snapchat model is built on top of product sales summary.
126 00:16:32.140 ⇒ 00:16:40.250 Awaish Kumar: I think it’s… maybe, like, a quick fix, but I… I just want to give… Okay.
127 00:16:40.250 ⇒ 00:16:43.870 Robert Tseng: So you still want to try to make it work with that model? Okay, sure.
128 00:16:43.870 ⇒ 00:16:51.029 Awaish Kumar: Yeah, but it’s because the way the data source, the Tableau is using that data source
129 00:16:51.150 ⇒ 00:16:54.690 Awaish Kumar: The product sales summary is not in the format any needs.
130 00:16:54.920 ⇒ 00:16:57.690 Awaish Kumar: That’s why the Temlade built a snapshot model.
131 00:16:57.880 ⇒ 00:17:01.730 Awaish Kumar: So, yeah, I need to make it in a way that it is…
132 00:17:02.030 ⇒ 00:17:05.530 Awaish Kumar: can be used, by any tableau.
133 00:17:09.869 ⇒ 00:17:16.860 Awaish Kumar: Otherwise, we already have production summary by transaction, which… which is being used for other… all the other marketing sources.
134 00:17:19.260 ⇒ 00:17:25.050 Robert Tseng: Okay, I mean, like, the difference with the Amelade’s model is… just that…
135 00:17:25.859 ⇒ 00:17:33.559 Robert Tseng: New, like, orders and customer count… order and customer accounts change, so it wasn’t a true snapshot.
136 00:17:33.720 ⇒ 00:17:37.900 Robert Tseng: He just needs to take the actual log that we have in dbt.
137 00:17:37.930 ⇒ 00:17:55.039 Robert Tseng: and make it so that those values are immutable, right? That’s… that’s the… that’s the whole point. When we set… when we set off on building that snapshot model, we didn’t actually build a snapshot model. We built something that still changes on a daily basis. Or… I mean, I guess things kind of stop moving after, like, 10 days, but…
138 00:17:55.060 ⇒ 00:18:03.679 Robert Tseng: I think that’s… that’s… that’s our fault. We just misinterpreted what a snapshot was. Snapshots should be immutable, so….
139 00:18:05.660 ⇒ 00:18:19.140 Annie Yu: I saw a PR Gemalade opened an hour ago, and that’s, … the files… the files changed with that snapshot model, so I’m suspecting that could be the fix. I haven’t looked at… Okay.
140 00:18:20.430 ⇒ 00:18:23.650 Awaish Kumar: I can review that, and if that is, then yeah.
141 00:18:24.020 ⇒ 00:18:26.659 Awaish Kumar: I can assign it to Bevanade and mark it.
142 00:18:26.660 ⇒ 00:18:28.140 Amber Lin: Okay.
143 00:18:28.430 ⇒ 00:18:29.010 Robert Tseng: Okay.
144 00:18:36.350 ⇒ 00:18:43.800 Robert Tseng: Yeah, sorry, I know I’m, like, pressing hard on this, but I do think that these are not huge fixes for us, so I just really wanted to just…
145 00:18:43.970 ⇒ 00:18:50.479 Robert Tseng: I think it’ll… it’ll, knock off a lot of these marketing tickets, because they’re all asking similar things.
146 00:18:50.480 ⇒ 00:18:54.679 Amber Lin: I think for this one, I think these two are from the same source.
147 00:18:56.270 ⇒ 00:19:07.949 Amber Lin: Sounds good. … So, on Dana’s side grid, these were from yesterday, … Oh, it’s also from yesterday.
148 00:19:09.110 ⇒ 00:19:17.170 Amber Lin: … So… I’ll… I’ll send a message to him, I just… these are two small requests.
149 00:19:17.280 ⇒ 00:19:20.800 Amber Lin: And then… We’re also doing…
150 00:19:21.150 ⇒ 00:19:31.439 Amber Lin: a dashboard for Adam, and then that requires some modeling tasks that I currently assign to them late. But if he has to do the…
151 00:19:31.590 ⇒ 00:19:39.869 Amber Lin: this ticket, I’ll say that do this first and do the other ones later. Any… on your tickets, I saw all your updates yesterday, thank you for that.
152 00:19:39.870 ⇒ 00:19:42.779 Awaish Kumar: For the… sorry, for the Adam Siger, I…
153 00:19:43.070 ⇒ 00:19:49.480 Awaish Kumar: did work on one of the tickets I created, and… I added my…
154 00:19:50.570 ⇒ 00:19:57.929 Awaish Kumar: recommendations in the ticket, so it’s… basically, we will be… we can use QuickBooks to get the data.
155 00:19:58.260 ⇒ 00:20:05.890 Awaish Kumar: And it’s pretty, like, we already have a connector in the polyatomic, so it will be really quick to get that data.
156 00:20:06.210 ⇒ 00:20:10.469 Awaish Kumar: into the warehouse. If they’re using QuickBooks, that will be….
157 00:20:11.000 ⇒ 00:20:13.800 Amber Lin: Really easy to, ingest.
158 00:20:13.920 ⇒ 00:20:15.210 Amber Lin: I see, okay.
159 00:20:15.380 ⇒ 00:20:18.710 Awaish Kumar: We are not getting, but it will be easier…
160 00:20:18.920 ⇒ 00:20:21.569 Awaish Kumar: to get with QuickBooks, if they are using
161 00:20:21.780 ⇒ 00:20:25.790 Awaish Kumar: QuickBooks, then, if… and we… if we get an account.
162 00:20:26.120 ⇒ 00:20:28.660 Awaish Kumar: which can log into QuickBooks, we can easily.
163 00:20:29.140 ⇒ 00:20:31.229 Awaish Kumar: Set up the ingestion connector.
164 00:20:31.490 ⇒ 00:20:33.060 Amber Lin: Okay.
165 00:20:33.800 ⇒ 00:20:46.250 Amber Lin: Sounds good. So, okay. Annie, on Adam’s side, I made the tickets. I know you made one on the modeling side that was assigned to them a lot, but I made the other ones. Yeah, go ahead.
166 00:20:46.250 ⇒ 00:20:50.320 Awaish Kumar: I have a question from Robert, like, but that’s what they said, right, in the…
167 00:20:50.440 ⇒ 00:20:58.000 Awaish Kumar: In the ticket, they wanna know that, if you can sync the data from QuickBooks or Pay
168 00:20:58.130 ⇒ 00:21:04.670 Awaish Kumar: Paycom and build some kind of… get the payroll data and build some kind of model, right?
169 00:21:05.120 ⇒ 00:21:06.790 Robert Tseng: Okay, I mean, maybe you guys have…
170 00:21:08.660 ⇒ 00:21:10.920 Robert Tseng: I’m just going off of, like, I had asked…
171 00:21:11.270 ⇒ 00:21:18.680 Robert Tseng: And this was on our roadmap, like, 2 months ago, and then they shot it down because they didn’t want to do QuickBooks, so I didn’t know that that changed.
172 00:21:18.680 ⇒ 00:21:34.260 Amber Lin: Now, Jonah just asked yesterday if there’s a way… I don’t know if his request will dictate if they give it to us. I’m just gonna tell him that we can. It’s on them to give us the account, so… Okay. I’m gonna throw it back to him. Okay.
173 00:21:34.560 ⇒ 00:21:49.170 Amber Lin: Jonah, in the finance analytics channel, right now, we’re deferring Jonah’s two dashboards, since we’re working on Adam’s executive dashboard. Annie delivered the first part, so now we have additional requests. I scoped it
174 00:21:49.340 ⇒ 00:21:54.390 Amber Lin: Out, and… let me click on… Click on this.
175 00:21:54.980 ⇒ 00:21:55.540 Amber Lin: Yes, sir.
176 00:21:55.540 ⇒ 00:21:59.720 Robert Tseng: like HR analytics. We’re, like, doing, like, payroll stuff for them now.
177 00:21:59.720 ⇒ 00:22:08.300 Amber Lin: I think the remaining part is related to payroll, because we don’t have their payroll data, so we want… they wanted some sort of….
178 00:22:08.300 ⇒ 00:22:11.699 Robert Tseng: shocked if they gave it to us, but okay.
179 00:22:11.700 ⇒ 00:22:18.920 Amber Lin: … Annie, I know you asked Adam about how we define expenses. Did you get an answer on that?
180 00:22:19.410 ⇒ 00:22:24.639 Annie Yu: Jonah did reply on that, so the expense here…
181 00:22:24.950 ⇒ 00:22:28.270 Annie Yu: It has a different definition for the…
182 00:22:28.420 ⇒ 00:22:36.630 Annie Yu: Compared to the finance dashboard. So, for this use case, we can do it without Modeling.
183 00:22:37.540 ⇒ 00:22:39.700 Amber Lin: Okay, so I’m gonna cancel.
184 00:22:39.980 ⇒ 00:22:42.190 Amber Lin: So we don’t need model….
185 00:22:42.190 ⇒ 00:22:51.600 Annie Yu: For the chart, yeah, not for this… not for this part, but if we’re talking about expenses for finance dashboard, that’s another case.
186 00:22:52.150 ⇒ 00:22:54.759 Amber Lin: Easy. So for endom’s dashboard, we don’t need it.
187 00:22:55.860 ⇒ 00:22:57.800 Annie Yu: But I still have to do the chart.
188 00:22:58.060 ⇒ 00:23:07.209 Annie Yu: And for the chart, I suspect it’s not doable if they still want to keep the stacked bar chart, but I will do what I can, list out why I can’t.
189 00:23:07.890 ⇒ 00:23:17.359 Amber Lin: Okay, sounds good. So I have this ticket of the… of the combo chart, the one with everything, and then they… they also want to…
190 00:23:17.470 ⇒ 00:23:23.000 Amber Lin: the three cards, I think that’s from Jonah, for the different payrolls. …
191 00:23:23.140 ⇒ 00:23:28.779 Amber Lin: And then that one is the modeling that I assigned to Tamilade. How urgently do you need that model?
192 00:23:29.820 ⇒ 00:23:32.410 Annie Yu: Mmm, that model is for that .4.
193 00:23:32.570 ⇒ 00:23:34.039 Amber Lin: Yeah, I do have a fraud.
194 00:23:34.040 ⇒ 00:23:38.139 Annie Yu: proxy kind of thing in Tableau, but it’s not exactly what they want.
195 00:23:38.810 ⇒ 00:23:40.050 Amber Lin: I see, okay.
196 00:23:40.240 ⇒ 00:23:43.940 Amber Lin: … Alright.
197 00:23:45.020 ⇒ 00:24:01.390 Amber Lin: … okay. I moved out the finance forecasting dashboard to the next cycle. I think you had some extra tickets, so it’s reasonable that we push it out. So, like, hopefully we get Adam’s stuff done this week, and next we can do a little bit of…
198 00:24:01.770 ⇒ 00:24:04.080 Amber Lin: The finance stuff, but….
199 00:24:04.080 ⇒ 00:24:08.519 Robert Tseng: Did they say they want it in Tableau? Like, why did we just default to building this in Tableau?
200 00:24:09.770 ⇒ 00:24:13.109 Amber Lin: Is it in Tableau, Annie? I thought it was in Tableau.
201 00:24:13.110 ⇒ 00:24:14.960 Annie Yu: You mean the atoms?
202 00:24:15.120 ⇒ 00:24:16.930 Amber Lin: Yeah, yeah.
203 00:24:17.350 ⇒ 00:24:18.860 Annie Yu: Yeah, that’s in Tableau.
204 00:24:22.270 ⇒ 00:24:23.320 Amber Lin: Okay.
205 00:24:23.850 ⇒ 00:24:26.799 Annie Yu: He… yeah, he basically…
206 00:24:27.190 ⇒ 00:24:34.940 Annie Yu: it was pretty obvious that’s in Tableau, because they asked to duplicate the marketing dashboard, start and start from there.
207 00:24:36.420 ⇒ 00:24:37.650 Robert Tseng: Okay, okay.
208 00:24:37.650 ⇒ 00:24:38.440 Amber Lin: Yep.
209 00:24:39.500 ⇒ 00:24:40.390 Amber Lin: Sounds good.
210 00:24:41.050 ⇒ 00:24:48.200 Amber Lin: … Okay, I’ll talk with Emilade on his tickets.
211 00:24:48.710 ⇒ 00:24:57.490 Amber Lin: I think the highest priority is a wish if you assign it to him, and then… probably in order, Adam’s…
212 00:24:57.700 ⇒ 00:24:58.950 Amber Lin: Adam’s stuff.
213 00:24:59.460 ⇒ 00:25:02.100 Amber Lin: Oh, this one has not been addressed.
214 00:25:02.580 ⇒ 00:25:03.620 Amber Lin: Oh.
215 00:25:05.740 ⇒ 00:25:07.360 Amber Lin: Okay, okay, I think.
216 00:25:07.360 ⇒ 00:25:09.750 Robert Tseng: This related to the snapshot stuff we were talking about.
217 00:25:09.750 ⇒ 00:25:11.260 Amber Lin: Yeah, yeah, I see.
218 00:25:11.480 ⇒ 00:25:13.380 Amber Lin: Okay, sounds good.
219 00:25:13.840 ⇒ 00:25:14.700 Amber Lin: Okay.
220 00:25:17.220 ⇒ 00:25:18.740 Amber Lin: Yeah, I think that’s all.
221 00:25:24.230 ⇒ 00:25:27.400 Amber Lin: Thanks, everyone. Anything else? We can also… I mean….
222 00:25:27.400 ⇒ 00:25:33.370 Henry Zhao: Yeah, Robert, how do I get… Tracy, her Tableau license?
223 00:25:33.780 ⇒ 00:25:37.939 Robert Tseng: Yeah, … Do we need to… I have to use….
224 00:25:38.640 ⇒ 00:25:40.830 Henry Zhao: I mean, obviously, I think Mitesh would approve it, right?
225 00:25:41.290 ⇒ 00:25:43.820 Robert Tseng: Yeah, yeah, I’m just gonna… I’ll add it.
226 00:25:45.260 ⇒ 00:25:46.989 Amber Lin: Oh, should I assign this to you?
227 00:25:49.560 ⇒ 00:25:57.460 Robert Tseng: Yeah, it’s just because I have the Eden credit card, and I don’t think they want me to give it out, so I can’t really have other people do it right now.
228 00:25:58.140 ⇒ 00:26:02.710 Henry Zhao: Also, we have a call with Carter and Mitesh after… right after this call. Do we still need that, since we met yesterday?
229 00:26:03.530 ⇒ 00:26:13.880 Robert Tseng: Yeah, I would just say it was cancel it. Or, yeah, if you guys want to jump in and just… if they have anything they want to… it could be a short one, but I don’t think I’ll go to that one.
230 00:26:15.560 ⇒ 00:26:16.630 Henry Zhao: Okay.
231 00:26:17.130 ⇒ 00:26:19.939 Henry Zhao: I just don’t know that there’s much to add after what we talked about yesterday.
232 00:26:21.040 ⇒ 00:26:22.839 Robert Tseng: I mean, they’re just gonna ask about…
233 00:26:23.010 ⇒ 00:26:30.649 Robert Tseng: progress, so unless you want to… I mean, I would… I would probably not join it if we don’t have anything you need to say.
234 00:26:30.650 ⇒ 00:26:38.140 Henry Zhao: I’m gonna reschedule it for tomorrow, that way I can have time to turn off the polyatomic connector today, and then tomorrow I can update them on…
235 00:26:38.360 ⇒ 00:26:40.249 Henry Zhao: If the data’s gotten back to normal.
236 00:26:40.490 ⇒ 00:26:42.660 Henry Zhao: Or if it’s not easy, then… ….
237 00:26:42.660 ⇒ 00:26:47.520 Robert Tseng: I mean, I haven’t heard anything about the Facebook TAPI stuff, so it sounds…
238 00:26:47.710 ⇒ 00:26:56.179 Robert Tseng: I mean, I’m assuming if I don’t hear anything, that’s a good sign, but, I don’t know if we’ve really checked, the three ad accounts.
239 00:26:56.360 ⇒ 00:26:58.310 Robert Tseng: Since we plugged in the new models.
240 00:27:02.180 ⇒ 00:27:03.570 Robert Tseng: the Andrew question, or… yeah.
241 00:27:03.570 ⇒ 00:27:13.399 Andrew O’Neil: Yeah, no, I’ve looked at the data, at least from the primary one, or the original one we set up. Everything was looking good. We’re seeing both hits from
242 00:27:13.450 ⇒ 00:27:20.879 Andrew O’Neil: the server from Cappy, as well as our Pixel. There’s one thing I’m validating with
243 00:27:20.880 ⇒ 00:27:35.999 Andrew O’Neil: That Facebook is actually deduping the same purchases that we’re sending via both methods. But that should be resolved this week, and then the other two, those are newer ones. And to be honest.
244 00:27:36.120 ⇒ 00:27:53.959 Andrew O’Neil: the Eden team has been a little bit back and forth on the Pixel side of things, so I’ll… I can check in there to see what the latest is, because at a super high level, I think it was Ryan or someone on their team published the pixels, like, 2 weeks ago, and then….
245 00:27:53.960 ⇒ 00:27:54.490 Robert Tseng: I remember that.
246 00:27:54.490 ⇒ 00:28:06.950 Andrew O’Neil: undid that work about a week ago, so I don’t know what the latest is on their side, so… but I can tell you, at least from Cappy, we’re good, from the data that we’re sending.
247 00:28:07.860 ⇒ 00:28:08.690 Robert Tseng: Okay.
248 00:28:13.450 ⇒ 00:28:20.029 Amber Lin: … We can do the grooming now, or meet again later.
249 00:28:25.450 ⇒ 00:28:25.920 Robert Tseng: …
250 00:28:26.590 ⇒ 00:28:32.610 Robert Tseng: I’m… I’m okay to do it now. I don’t think everyone has to be on the call. I think we can just try to cut it down. I mean….
251 00:28:32.860 ⇒ 00:28:51.400 Amber Lin: Yeah, that makes sense. I think just one last question here. This is what Adam was asking, and then we weren’t really sure… I think Annie also wasn’t sure what he was referring… which dashboard he was referring to, or if this is, like, across different dashboards. …
252 00:28:51.450 ⇒ 00:28:58.950 Amber Lin: By first glance, does anyone have a hunch on this? I asked him for clarification, I don’t think he… he’s too busy, so he hasn’t got back.
253 00:29:04.150 ⇒ 00:29:07.589 Robert Tseng: So you want to know, like, what he’s asking for? Sorry, what’s the question?
254 00:29:07.590 ⇒ 00:29:11.559 Amber Lin: If… if someone can… If someone on the team has
255 00:29:11.810 ⇒ 00:29:17.459 Amber Lin: an idea of what… which dashboard he’s referring to. If not, I’ll just wait for his clarification.
256 00:29:18.200 ⇒ 00:29:27.969 Robert Tseng: I think he’s saying he wants to see it this way. Like, I don’t think we have something that does this. Even the way he’s talking about it isn’t the way… it’s like MediaCAC, media ROAS, it’s like…
257 00:29:28.870 ⇒ 00:29:40.850 Robert Tseng: We don’t… we’re not really categorizing Aspen by media right now. I think he’s talking about, like, TV ads or whatever, but we don’t… we haven’t really built that category. Fully loaded is what we’re calling, like, the…
258 00:29:41.070 ⇒ 00:29:42.040 Robert Tseng: the…
259 00:29:42.320 ⇒ 00:29:50.470 Robert Tseng: online plus offline, which the nomenclature is a bit weird, because it’s not really offline. These are all, like, digital channels, just some of them are affiliated.
260 00:29:51.090 ⇒ 00:30:04.040 Robert Tseng: So, I mean, I think whoever’s working on that marketing model, like, is really… I mean, I can… I can talk to you about what he’s referring to, but he’s… he’s just… he’s just talking about these metrics in a… in a way that…
261 00:30:04.140 ⇒ 00:30:08.840 Robert Tseng: Mitesh doesn’t… Mitesh doesn’t talk about it this way. This is how he thinks about it, though.
262 00:30:09.040 ⇒ 00:30:10.420 Amber Lin: I see.
263 00:30:10.940 ⇒ 00:30:16.800 Amber Lin: Okay, I’ll clarify… I’ll wait for his clarification. Alright.
264 00:30:17.450 ⇒ 00:30:26.590 Amber Lin: I think, in terms of… grooming… … Let me check who’s here…
265 00:30:29.680 ⇒ 00:30:38.440 Amber Lin: I think Andrew can hop off, … I think away should stay… Robert, you should stay.
266 00:30:38.870 ⇒ 00:30:40.050 Amber Lin: And then….
267 00:30:40.050 ⇒ 00:30:40.850 Henry Zhao: They also….
268 00:30:41.640 ⇒ 00:30:46.080 Amber Lin: Yeah, and you should stay, and then… Annie, I think you can hop off if you want.
269 00:30:48.990 ⇒ 00:30:49.800 Amber Lin: Okay.
270 00:30:50.120 ⇒ 00:30:51.140 Andrew O’Neil: Alright, thanks.
271 00:30:51.630 ⇒ 00:30:52.180 Amber Lin: Right, thank you.
272 00:30:52.180 ⇒ 00:30:53.570 Robert Tseng: Yep, see ya.
273 00:30:54.920 ⇒ 00:30:56.760 Amber Lin: … okay.
274 00:30:58.800 ⇒ 00:31:09.900 Amber Lin: I already pushed out Annie’s, forecast… finance forecasting dashboard to next cycle, because she had to take Adam’s request. …
275 00:31:11.100 ⇒ 00:31:16.000 Amber Lin: Let’s just see… This one is not defined yet.
276 00:31:16.600 ⇒ 00:31:21.750 Amber Lin: … Awish, is this going to be your task?
277 00:31:24.060 ⇒ 00:31:25.670 Amber Lin: Similar to adding the offer.
278 00:31:25.670 ⇒ 00:31:27.030 Awaish Kumar: reporting done.
279 00:31:28.210 ⇒ 00:31:33.510 Awaish Kumar: Mike, we already have I’m like… Sorry.
280 00:31:33.510 ⇒ 00:31:34.550 Amber Lin: dashboards.
281 00:31:34.550 ⇒ 00:31:38.079 Awaish Kumar: Then it’s any time.
282 00:31:38.240 ⇒ 00:31:38.910 Amber Lin: Okay.
283 00:31:39.330 ⇒ 00:31:40.660 Amber Lin: ….
284 00:31:41.620 ⇒ 00:31:48.729 Awaish Kumar: But, … Like, do we… like, is that a requirement to get this?
285 00:31:49.180 ⇒ 00:31:56.709 Awaish Kumar: I think it’s just getting the data into ad spend, right? There’s no additional dashboard required for that.
286 00:31:59.240 ⇒ 00:32:07.310 Amber Lin: Mitesh did ask to… Added to the product list.
287 00:32:07.500 ⇒ 00:32:10.089 Amber Lin: To this dashboard, and also the marketing.
288 00:32:10.090 ⇒ 00:32:21.350 Awaish Kumar: the modeling… the modeling change I will do, that will, like, propagate the span through the dashboard. So it does not have to be a separate dashboard.
289 00:32:21.350 ⇒ 00:32:25.550 Amber Lin: I see, I see, gotcha. So, will the…
290 00:32:26.360 ⇒ 00:32:29.489 Amber Lin: Like, will the different channels be surfaced?
291 00:32:30.040 ⇒ 00:32:32.240 Amber Lin: Or is it just an aggregate ad spend?
292 00:32:32.520 ⇒ 00:32:39.009 Awaish Kumar: Yeah, if it’s a dashboard with a diff… like, with a separate dimension for channels, then yeah, like.
293 00:32:39.010 ⇒ 00:32:39.740 Amber Lin: Okay, okay.
294 00:32:39.740 ⇒ 00:32:41.430 Awaish Kumar: I’m going to see different channels.
295 00:32:41.430 ⇒ 00:32:45.950 Amber Lin: I see, okay, so we’ll add it, and then we’ll check if we have the different channels there.
296 00:32:46.770 ⇒ 00:32:48.240 Amber Lin: ….
297 00:32:52.900 ⇒ 00:32:55.179 Awaish Kumar: It can be a QAing ticket that…
298 00:32:56.310 ⇒ 00:32:59.500 Awaish Kumar: To ensure that the data looks
299 00:33:00.090 ⇒ 00:33:02.639 Awaish Kumar: Data is coming in into the dashboard.
300 00:33:05.350 ⇒ 00:33:06.090 Amber Lin: Okay.
301 00:33:06.900 ⇒ 00:33:07.630 Amber Lin: Sounds good.
302 00:33:07.630 ⇒ 00:33:11.289 Annie Yu: Remember, when you say dashboards, what are they? There are multiple.
303 00:33:11.290 ⇒ 00:33:14.669 Amber Lin: I think this one, primarily.
304 00:33:14.960 ⇒ 00:33:15.700 Annie Yu: So for.
305 00:33:15.700 ⇒ 00:33:16.060 Amber Lin: That’s fine.
306 00:33:16.060 ⇒ 00:33:18.350 Annie Yu: We don’t have channel level.
307 00:33:19.180 ⇒ 00:33:20.160 Awaish Kumar: I see.
308 00:33:20.160 ⇒ 00:33:22.809 Annie Yu: We are using a product sales summary wish.
309 00:33:23.840 ⇒ 00:33:27.060 Awaish Kumar: Okay, yeah, that will just get… come in as a…
310 00:33:28.380 ⇒ 00:33:30.960 Awaish Kumar: as a spend, you know, for a product.
311 00:33:31.550 ⇒ 00:33:38.010 Amber Lin: Okay, so… add channel… Level. Detail.
312 00:33:38.320 ⇒ 00:33:39.870 Amber Lin: to that.
313 00:33:39.870 ⇒ 00:33:41.220 Awaish Kumar: No, no, I….
314 00:33:42.980 ⇒ 00:33:44.100 Amber Lin: Is that not true?
315 00:33:45.910 ⇒ 00:33:46.939 Awaish Kumar: Like, we don’t…
316 00:33:47.620 ⇒ 00:33:52.700 Awaish Kumar: We don’t want to include channel in there. I don’t know if that is a separate ask from Mitesh.
317 00:33:55.720 ⇒ 00:34:04.199 Awaish Kumar: like… He just… he just wants that, this, the spend data is… is part of the calculations.
318 00:34:04.500 ⇒ 00:34:08.130 Awaish Kumar: For example, for NKEC and N, and… and that’s…
319 00:34:08.260 ⇒ 00:34:13.710 Awaish Kumar: That’s going to be added when I make a modeling change. We don’t need any change on dashboard.
320 00:34:16.260 ⇒ 00:34:21.260 Amber Lin: … mmm… Amazon dashboard.
321 00:34:22.080 ⇒ 00:34:23.190 Amber Lin: Okay.
322 00:34:23.360 ⇒ 00:34:30.410 Amber Lin: Sounds good. And then we’ll… we’ll get this to him today, and then if he says he wants a broken down one, we’ll do that.
323 00:34:31.460 ⇒ 00:34:33.260 Amber Lin: Okay.
324 00:34:41.460 ⇒ 00:34:45.350 Amber Lin: Yeah, I’ll… I’ll probably… Mmm….
325 00:34:50.100 ⇒ 00:34:58.990 Annie Yu: Remember, for 783, I don’t think I have any action item for that. I think Arish was saying that he will add those channels into the.
326 00:34:58.990 ⇒ 00:34:59.790 Awaish Kumar: Yeah, it’s good.
327 00:34:59.790 ⇒ 00:35:03.630 Annie Yu: Aspen, but there’s nothing to change on the dashboard side.
328 00:35:04.810 ⇒ 00:35:11.229 Amber Lin: It’s a QA ticket, so just to check if it’s in the dashboard. Would you do this, or is this for Annie?
329 00:35:14.640 ⇒ 00:35:19.900 Awaish Kumar: Yeah, I can do the… Checks, yeah.
330 00:35:20.270 ⇒ 00:35:20.700 Amber Lin: Okay.
331 00:35:20.920 ⇒ 00:35:27.210 Annie Yu: Awish, when you’re done, I have to refresh the data source on Tableau, so can you let me know when that’s done?
332 00:35:27.440 ⇒ 00:35:28.989 Awaish Kumar: Okay, yeah, sure.
333 00:35:29.340 ⇒ 00:35:29.920 Amber Lin: Okay.
334 00:35:34.140 ⇒ 00:35:35.090 Amber Lin: Okay.
335 00:35:36.330 ⇒ 00:35:37.680 Amber Lin: Sounds good.
336 00:35:41.040 ⇒ 00:35:50.729 Amber Lin: … Annie, did they… I… actually, I’ll check on these. I sent them an update. Okay, anything here…
337 00:35:52.480 ⇒ 00:35:54.930 Amber Lin: How big would this ticket be?
338 00:35:56.930 ⇒ 00:36:04.620 Annie Yu: I can’t recall off the top of my head, but I know that there are multiple back and forths, and based on his feedback,
339 00:36:05.270 ⇒ 00:36:10.949 Annie Yu: I was trying to clarify what he meant by expenses, because we now can’t…
340 00:36:11.220 ⇒ 00:36:19.860 Annie Yu: mix everything across different data sources, but he was, like, asking if I can do that in Tableau. I said I can’t.
341 00:36:20.000 ⇒ 00:36:29.600 Annie Yu: So I need a very clear definition of expenses, and from there, we can say what we need, on the modeling side.
342 00:36:30.080 ⇒ 00:36:30.730 Amber Lin: Hmm.
343 00:36:32.030 ⇒ 00:36:41.200 Amber Lin: Okay. Other than that, the rest of it would be, like, 3… 3 points… 2 points.
344 00:36:43.600 ⇒ 00:36:45.179 Annie Yu: Let me scheme through this.
345 00:36:50.590 ⇒ 00:36:56.909 Annie Yu: You can put 3, but I’ll let you know once I review this, because some of these we don’t have.
346 00:36:57.330 ⇒ 00:37:05.210 Amber Lin: Makes sense. … Demodeling… Okay.
347 00:37:05.760 ⇒ 00:37:10.039 Amber Lin: So the additional… I think this was in progress.
348 00:37:10.330 ⇒ 00:37:12.030 Annie Yu: Yeah, this I haven’t done.
349 00:37:12.420 ⇒ 00:37:16.159 Amber Lin: Okay, so what… what is the points left?
350 00:37:16.160 ⇒ 00:37:31.489 Annie Yu: For the modeling part, Vashdev pushed a model, so for the parts that are going to use that one, I think one point is enough. But for the other parts, I think the model is working on another model.
351 00:37:31.680 ⇒ 00:37:33.070 Annie Yu: That’s….
352 00:37:33.890 ⇒ 00:37:34.650 Amber Lin: Okay.
353 00:37:34.970 ⇒ 00:37:36.060 Amber Lin: Sounds good.
354 00:37:36.480 ⇒ 00:37:44.460 Amber Lin: Alright, and then let’s go down here. … Okay.
355 00:37:45.960 ⇒ 00:37:50.239 Amber Lin: Just to retroactively backfill, can I put one point each on these?
356 00:37:52.350 ⇒ 00:37:53.720 Amber Lin: I’m callous.
357 00:37:54.770 ⇒ 00:38:02.600 Awaish Kumar: One… yeah, like, not… Like, the 685 is just…
358 00:38:02.830 ⇒ 00:38:05.379 Awaish Kumar: Like, the part of the other ticket, so….
359 00:38:05.380 ⇒ 00:38:07.460 Amber Lin: I see, I see, gotcha.
360 00:38:08.330 ⇒ 00:38:09.310 Amber Lin: ….
361 00:38:09.870 ⇒ 00:38:10.800 Robert Tseng: Okay.
362 00:38:10.800 ⇒ 00:38:15.000 Amber Lin: That one, just want to add an estimate, get product names for a mountain.
363 00:38:15.000 ⇒ 00:38:17.190 Awaish Kumar: I don’t know, 15 minutes?
364 00:38:17.480 ⇒ 00:38:17.870 Amber Lin: Okay.
365 00:38:17.870 ⇒ 00:38:19.380 Awaish Kumar: How many points done?
366 00:38:19.730 ⇒ 00:38:30.060 Amber Lin: Okay, I’ll… I’ll make it quick. We’ll skip that. How much would this one be? Like….
367 00:38:30.730 ⇒ 00:38:34.999 Awaish Kumar: So for that, we, …
368 00:38:36.220 ⇒ 00:38:41.399 Awaish Kumar: I think I have replied to him. Oh, I see. Is there any comment there?
369 00:38:41.700 ⇒ 00:38:42.290 Amber Lin: ….
370 00:38:42.290 ⇒ 00:38:43.350 Awaish Kumar: On the ticket?
371 00:38:43.830 ⇒ 00:38:44.330 Amber Lin: Yeah, let’s.
372 00:38:44.330 ⇒ 00:38:45.050 Awaish Kumar: a ticket?
373 00:38:45.680 ⇒ 00:38:48.299 Awaish Kumar: … I think I, yeah.
374 00:38:50.490 ⇒ 00:38:59.979 Awaish Kumar: Okay, so basically, for edit ads, we do have connector in Pyatomic, but we don’t have reverse ETL part for…
375 00:39:00.320 ⇒ 00:39:07.780 Awaish Kumar: sending, spend data to Northbeam. I have asked for it, and we will get it maybe by next week, so…
376 00:39:08.320 ⇒ 00:39:12.159 Awaish Kumar: Okay. We’ll do it next week, but it will be just one hour, one point.
377 00:39:13.440 ⇒ 00:39:19.289 Amber Lin: Okay, I know we’re turning off polytama for North Beam, does it affect this?
378 00:39:19.290 ⇒ 00:39:22.860 Awaish Kumar: That’s… Polyatomic?
379 00:39:24.000 ⇒ 00:39:30.500 Awaish Kumar: Yeah, that’s a different… the connector where I’m sending the orders data, that’s turned off.
380 00:39:30.510 ⇒ 00:39:33.250 Amber Lin: I just did it, but that’s different.
381 00:39:33.830 ⇒ 00:39:34.380 Amber Lin: Okay.
382 00:39:34.750 ⇒ 00:39:37.500 Amber Lin: That is internal review.
383 00:39:37.870 ⇒ 00:39:38.710 Amber Lin: Okay.
384 00:39:39.260 ⇒ 00:39:40.630 Amber Lin: …
385 00:39:46.040 ⇒ 00:39:49.990 Amber Lin: Alright, has points, has points, then not points.
386 00:39:49.990 ⇒ 00:39:50.460 Awaish Kumar: Yeah.
387 00:39:50.460 ⇒ 00:39:53.239 Amber Lin: How much would this be?
388 00:39:53.630 ⇒ 00:39:54.890 Awaish Kumar: Can be 2 points.
389 00:39:55.070 ⇒ 00:39:55.750 Amber Lin: Okay.
390 00:39:56.920 ⇒ 00:40:00.129 Amber Lin: Is this the right title? We’re just updating ad spend?
391 00:40:00.130 ⇒ 00:40:01.190 Awaish Kumar: Yeah, it’s okay.
392 00:40:01.510 ⇒ 00:40:02.200 Amber Lin: Okay.
393 00:40:05.370 ⇒ 00:40:16.310 Amber Lin: Awesome. You have 22 total… And then… The QA… One behind, okay.
394 00:40:16.880 ⇒ 00:40:20.139 Awaish Kumar: That’s part of, the other ticket.
395 00:40:20.140 ⇒ 00:40:22.700 Amber Lin: Yeah, just… I’ll just….
396 00:40:22.700 ⇒ 00:40:23.550 Awaish Kumar: Excuse me.
397 00:40:23.550 ⇒ 00:40:24.540 Amber Lin: Put it there.
398 00:40:24.540 ⇒ 00:40:25.480 Awaish Kumar: That’s see that.
399 00:40:25.810 ⇒ 00:40:27.280 Amber Lin: And then QA.
400 00:40:33.480 ⇒ 00:40:34.440 Amber Lin: Alright.
401 00:40:35.020 ⇒ 00:40:47.130 Amber Lin: For Demolatis tickets… These are asking… Asking, Basque… …
402 00:40:49.710 ⇒ 00:40:52.690 Amber Lin: How many points would this be?
403 00:40:53.250 ⇒ 00:40:55.189 Awaish Kumar: He… I think he already replied.
404 00:40:55.190 ⇒ 00:40:56.859 Amber Lin: Just give me one point.
405 00:40:59.300 ⇒ 00:41:04.290 Amber Lin: One point… That one….
406 00:41:04.690 ⇒ 00:41:08.890 Awaish Kumar: For the snapshots, like, actually building the snapshots instead, like… Thanks!
407 00:41:10.800 ⇒ 00:41:13.190 Awaish Kumar: That’s the same thing I’m, like…
408 00:41:15.970 ⇒ 00:41:20.600 Awaish Kumar: The one which is assigned to me for NCAC changes.
409 00:41:21.350 ⇒ 00:41:30.769 Awaish Kumar: It’s about Snapshot as well, so it’s a duplicate of that. If Demilada has already worked on it, I will keep the Demonade’s ticket, otherwise, ….
410 00:41:31.490 ⇒ 00:41:32.780 Awaish Kumar: I’ll work on that.
411 00:41:33.700 ⇒ 00:41:37.010 Awaish Kumar: It’s two points, like, same as I assigned.
412 00:41:37.410 ⇒ 00:41:41.830 Awaish Kumar: But… I need to just make sure that it is…
413 00:41:42.250 ⇒ 00:41:46.629 Awaish Kumar: If it… there’s more work required, or it’s just reviewing and deploying?
414 00:42:02.440 ⇒ 00:42:03.280 Amber Lin: Okay.
415 00:42:04.120 ⇒ 00:42:11.360 Amber Lin: … That’s the same thing… Okay.
416 00:42:13.540 ⇒ 00:42:15.710 Amber Lin: I’m just gonna mark it.
417 00:42:16.430 ⇒ 00:42:19.880 Amber Lin: Here… And then…
418 00:42:23.210 ⇒ 00:42:25.550 Amber Lin: This modeling request….
419 00:42:26.380 ⇒ 00:42:29.040 Awaish Kumar: I already assigned points for them.
420 00:42:29.040 ⇒ 00:42:33.229 Amber Lin: Awesome, awesome. Let’s skip that. Points…
421 00:42:33.830 ⇒ 00:42:39.489 Amber Lin: This is for the forecasting dashboard. I probably would move this one out.
422 00:42:39.680 ⇒ 00:42:43.300 Amber Lin: By first glance, how much would this take?
423 00:42:46.320 ⇒ 00:42:49.900 Awaish Kumar: Yeah, it can be an hour.
424 00:42:51.010 ⇒ 00:42:53.020 Amber Lin: Okay, I’ll put it in place.
425 00:42:53.730 ⇒ 00:42:54.400 Amber Lin: So…
426 00:42:59.790 ⇒ 00:43:01.320 Amber Lin: What did I do here?
427 00:43:03.200 ⇒ 00:43:06.670 Amber Lin: Is that 5 points, connecting Google Sheets with BigQuery?
428 00:43:08.320 ⇒ 00:43:10.790 Awaish Kumar: What is the ask?
429 00:43:11.180 ⇒ 00:43:14.730 Amber Lin: … That’s for….
430 00:43:15.570 ⇒ 00:43:23.930 Awaish Kumar: Connecting Google Sheet to BigQuery is… is just one point. I’m not sure what… Why? 5 points are signed?
431 00:43:23.930 ⇒ 00:43:27.560 Amber Lin: Okay, sorry, that probably would be an error.
432 00:43:27.850 ⇒ 00:43:31.330 Amber Lin: I mean… Delete that one.
433 00:43:45.500 ⇒ 00:43:46.390 Amber Lin: Okay.
434 00:43:46.680 ⇒ 00:43:54.979 Amber Lin: So… Normally has these… Tickets… …
435 00:43:57.160 ⇒ 00:44:01.469 Amber Lin: I think we have 9 points here, it’s Wednesday.
436 00:44:02.320 ⇒ 00:44:08.120 Amber Lin: For the poll… the data polls for the… Team.
437 00:44:08.630 ⇒ 00:44:11.240 Amber Lin: For the farm ops team, should we do that today?
438 00:44:21.230 ⇒ 00:44:22.439 Awaish Kumar: I think so, my….
439 00:44:22.640 ⇒ 00:44:23.350 Amber Lin: Okay.
440 00:44:24.010 ⇒ 00:44:27.280 Amber Lin: Oh, let’s see… Hmm…
441 00:44:30.310 ⇒ 00:44:31.940 Amber Lin: And then…
442 00:44:41.630 ⇒ 00:44:43.200 Amber Lin: Put that one back.
443 00:44:44.190 ⇒ 00:44:44.860 Amber Lin: Okay.
444 00:44:47.280 ⇒ 00:44:48.170 Amber Lin: Right.
445 00:44:48.970 ⇒ 00:44:49.850 Amber Lin: Okay.
446 00:44:50.270 ⇒ 00:44:54.130 Amber Lin: Those are the main things. I’ll keep those modeling tasks here.
447 00:44:54.720 ⇒ 00:44:56.040 Amber Lin: …
448 00:44:59.070 ⇒ 00:44:59.760 Amber Lin: Okay.
449 00:45:00.550 ⇒ 00:45:01.599 Amber Lin: Sounds good.
450 00:45:02.010 ⇒ 00:45:07.589 Amber Lin: Henry, anything here that needs to be moved out, or is it good to stay like this?
451 00:45:10.200 ⇒ 00:45:16.399 Henry Zhao: Improved ATM tracking in North Beam, based on reverse ATL… Can I just see what 716 is real quick?
452 00:45:19.150 ⇒ 00:45:27.100 Amber Lin: I think… I wish… created the ticket, or I created it based on what you sent me.
453 00:45:30.100 ⇒ 00:45:32.170 Henry Zhao: This is gonna have to be…
454 00:45:32.450 ⇒ 00:45:34.699 Henry Zhao: Blocked and probably moved to Cycle 14.
455 00:45:35.340 ⇒ 00:45:36.120 Amber Lin: Okay.
456 00:45:37.150 ⇒ 00:45:38.090 Amber Lin: Whoa.
457 00:45:39.240 ⇒ 00:45:41.779 Amber Lin: So we’re not doing this one next week?
458 00:45:43.030 ⇒ 00:45:49.650 Henry Zhao: Because we’re not seeing improved attribution. I guess we’ve… we’ve done it, measured, and it’s zero, so….
459 00:45:49.650 ⇒ 00:45:50.610 Amber Lin: See, okay.
460 00:45:51.210 ⇒ 00:45:53.399 Henry Zhao: We need an engineering solution to then….
461 00:45:54.360 ⇒ 00:45:56.100 Henry Zhao: Maybe repurpose that, that task.
462 00:45:56.540 ⇒ 00:46:00.659 Amber Lin: Gotcha. What is the point to clean up attributes in CIO?
463 00:46:01.170 ⇒ 00:46:06.460 Henry Zhao: This one I’d be working with Judd on this, so… let’s say 2 points.
464 00:46:08.480 ⇒ 00:46:13.590 Henry Zhao: Just because there’s so many, and we need to have some sort of follow-up to make sure that nothing breaks.
465 00:46:13.700 ⇒ 00:46:16.330 Henry Zhao: Or we need to have a backup plan to… if something….
466 00:46:16.330 ⇒ 00:46:16.710 Amber Lin: ….
467 00:46:16.710 ⇒ 00:46:17.749 Henry Zhao: How do we bring it back?
468 00:46:18.370 ⇒ 00:46:19.420 Amber Lin: Gotcha, okay.
469 00:46:20.560 ⇒ 00:46:22.330 Amber Lin: Looks good.
470 00:46:22.330 ⇒ 00:46:25.010 Henry Zhao: Other than that, I think we should be good.
471 00:46:25.010 ⇒ 00:46:25.560 Amber Lin: Okay.
472 00:46:26.360 ⇒ 00:46:32.489 Henry Zhao: The reduced overage costs, Robert, I’m gonna look at the slides that you sent me and, make a proposal and see if I can add some slides to that.
473 00:46:32.870 ⇒ 00:46:33.470 Robert Tseng: Okay.
474 00:46:34.110 ⇒ 00:46:37.999 Amber Lin: Yeah, and Robert, do you need me to update any of the slides here?
475 00:46:38.570 ⇒ 00:46:46.800 Robert Tseng: I mean, yeah, I just… it just hasn’t been in a place where I’ve been able to share it. I haven’t shared it with them in my 4 weeks, so I… I don’t know, like, I just…
476 00:46:47.340 ⇒ 00:46:49.809 Robert Tseng: There’s not really an owner on this right now.
477 00:46:49.810 ⇒ 00:46:51.250 Amber Lin: Okay.
478 00:46:51.860 ⇒ 00:46:52.530 Robert Tseng: Yeah.
479 00:46:52.530 ⇒ 00:47:01.600 Amber Lin: But, … End of week… are you going to share this tomorrow, or…?
480 00:47:02.190 ⇒ 00:47:10.159 Amber Lin: Or is this the same thing? Oh, sorry, this is the same thing. Yep. That’s… that’s all. I think we’re in a reasonable place.
481 00:47:11.160 ⇒ 00:47:12.430 Amber Lin: …
482 00:47:16.400 ⇒ 00:47:17.220 Amber Lin: Yeah.
483 00:47:17.810 ⇒ 00:47:18.650 Amber Lin: Okay.
484 00:47:21.700 ⇒ 00:47:24.580 Amber Lin: Well, thanks everyone. Any questions you guys have?
485 00:47:30.310 ⇒ 00:47:31.619 Henry Zhao: Nope, I think we’re doing good.
486 00:47:31.830 ⇒ 00:47:32.389 Amber Lin: Love it.
487 00:47:32.390 ⇒ 00:47:35.760 Henry Zhao: We’re in a lot better shape than we were two weeks ago, and even last week.
488 00:47:36.630 ⇒ 00:47:37.859 Amber Lin: Yeah, I agree.
489 00:47:37.860 ⇒ 00:47:39.340 Henry Zhao: Thanks for running these, and ….
490 00:47:40.270 ⇒ 00:47:45.480 Amber Lin: I mean, thanks, team. I feel like we’re doing a lot better as a team, and we’ll keep improving.
491 00:47:46.060 ⇒ 00:47:47.349 Robert Tseng: Alright, thanks everyone.
492 00:47:47.800 ⇒ 00:47:48.120 Amber Lin: Bye.
493 00:47:48.120 ⇒ 00:47:49.369 Awaish Kumar: Thank you. Bye.