Meeting Title: Nico_Aman Date: 2025-02-17 Meeting participants: Aman Nagpal, Nicolas Sucari
WEBVTT
1 00:00:16.219 ⇒ 00:00:17.090 Aman Nagpal: Hello!
2 00:00:17.820 ⇒ 00:00:19.320 Nicolas Sucari: Hey, Aman! How are you?
3 00:00:19.770 ⇒ 00:00:21.539 Aman Nagpal: Good. How are you? How’s your weekend.
4 00:00:22.420 ⇒ 00:00:27.319 Nicolas Sucari: All good, really nice weather here in Buenos Aires these days.
5 00:00:27.910 ⇒ 00:00:29.319 Aman Nagpal: Oh, yeah, it’s
6 00:00:30.590 ⇒ 00:00:32.849 Aman Nagpal: How long have you been in Argentina forever?
7 00:00:33.620 ⇒ 00:00:36.340 Nicolas Sucari: Yeah, yeah, I live in Argentina. Yes.
8 00:00:36.590 ⇒ 00:00:42.140 Aman Nagpal: We actually we, while we were waiting for to hire a full time email
9 00:00:42.300 ⇒ 00:00:45.935 Aman Nagpal: person. We just hired a team from
10 00:00:47.100 ⇒ 00:00:50.880 Aman Nagpal: but Argentina as well. They were telling the same thing. Weather’s great over there.
11 00:00:51.796 ⇒ 00:00:53.330 Nicolas Sucari: Yeah, nice.
12 00:00:53.520 ⇒ 00:01:01.350 Nicolas Sucari: Yeah, we we’re in summer right now, like ending summer in a couple of days now. But it’s really good. It’s really hot, though.
13 00:01:01.810 ⇒ 00:01:02.360 Nicolas Sucari: But yeah.
14 00:01:03.010 ⇒ 00:01:05.169 Aman Nagpal: Let me know if you want to trade places.
15 00:01:06.460 ⇒ 00:01:08.120 Aman Nagpal: Where are you right now?
16 00:01:08.470 ⇒ 00:01:09.609 Aman Nagpal: I’m in New York.
17 00:01:10.060 ⇒ 00:01:11.019 Nicolas Sucari: Oh, yeah.
18 00:01:11.140 ⇒ 00:01:20.140 Nicolas Sucari: I really like New York. Well, I’ve been there in November. And yeah, the weather was really good, too. I mean, it was not so cold at the time. But yeah, I think right now, you’re
19 00:01:20.260 ⇒ 00:01:21.510 Nicolas Sucari: really cool right.
20 00:01:22.080 ⇒ 00:01:27.340 Aman Nagpal: Yeah, yeah, yeah. Now it’s been. It’s been kind of chilly. But I think hopefully, a couple more weeks.
21 00:01:27.922 ⇒ 00:01:37.790 Aman Nagpal: But yeah, thanks for hopping on let me share my screen, and we can go over this quickly, because I do have another call at 1130.
22 00:01:38.272 ⇒ 00:01:42.000 Aman Nagpal: I feel like there’s much we need to dig in here. Let me pull this up.
23 00:01:43.000 ⇒ 00:01:47.060 Nicolas Sucari: I can. I can share if you want to have it here. But yeah.
24 00:01:47.060 ⇒ 00:01:48.759 Aman Nagpal: All good. You see my screen.
25 00:01:49.100 ⇒ 00:01:50.080 Nicolas Sucari: Perfect, yes.
26 00:01:50.370 ⇒ 00:02:11.919 Aman Nagpal: Alright cool. So I’m gonna be very candid with you to be honest with you. It’s, you know, to seeing this stuff pop up. It’s a it’s a little jarring. So when I spoke with Robert, he said, we need to add more hours, and I told him I’m gonna be very, very explicit with the hours this time. Last time, you know, you guys did a ton of work and I appreciate it with the back end stuff, with the engineering piece. But
27 00:02:12.060 ⇒ 00:02:22.179 Aman Nagpal: after all of that, those 3 months we didn’t really, and I’m sure you’ll agree. We didn’t have too much to show Justin and Jared on the you know client facing view right? It was a lot of back.
28 00:02:23.290 ⇒ 00:02:33.450 Aman Nagpal: So we. So we needed to get all that that stuff done. But now this month the focus has really changed. Right? So what I want is this is what I was telling Robert is
29 00:02:33.810 ⇒ 00:02:55.820 Aman Nagpal: anything on the sheet is the only on this table. Our estimates should be the only stuff appearing on the timeline. It should be the only stuff, right? So to see 60 h for metrics, development and data model maintenance. Or you know, some of these other items, it just it just doesn’t make sense. Right? It’s it’s for for us to be spending that kind of hours. If something breaks right
30 00:02:55.820 ⇒ 00:03:05.743 Aman Nagpal: and you need our 2 to fix it, you let me know. We’ll throw in a list. And we’re good to go right like that that I completely understand. Things are gonna always change or happen that you know no issue. But.
31 00:03:05.980 ⇒ 00:03:06.650 Nicolas Sucari: Yeah, yeah.
32 00:03:06.890 ⇒ 00:03:09.419 Aman Nagpal: You know it’s put, said this chunk of just you know.
33 00:03:09.750 ⇒ 00:03:21.519 Nicolas Sucari: Yeah, let me, let me maybe explain how to read this so that you can take a look. So all the the timeline that’s on the top. That’s like the actual timeline that with the like high
34 00:03:21.670 ⇒ 00:03:39.180 Nicolas Sucari: high end objectives that we have, like the Etl cost optimization and the metrics development and data model maintenance is something that we leave just there like to assign when we need to fix any modeling stuff, any tasks that we need to check when there are errors or some stuff we created us, and we assigned to that project.
35 00:03:39.180 ⇒ 00:03:56.219 Nicolas Sucari: The estimations were there. I I was not like changing anything on that one. But yeah, I I agree with you. We need to like, be more specific on the hours. And what are like the projects that we are working on right? So we can create that in the hour estimates table if you want, and then I can
36 00:03:56.220 ⇒ 00:04:13.109 Nicolas Sucari: go back and modify everything that we have on the top. So if you, if you want to add there, I can give you permission, and we can just like edit that our estimates table with the actual projects that we have. And then, if you want to see, like the entire detail, what I’m doing is if you, if you can scroll down a little bit
37 00:04:13.480 ⇒ 00:04:27.910 Nicolas Sucari: that Javi coffee client, external debate that has, like the entire task breakdown stuff all of the tasks. And I’m assigning, if you see that tag that says metrics development, and that the maintenance it wants gross margin dash
38 00:04:27.910 ⇒ 00:04:44.330 Nicolas Sucari: between another one’s etl cost like I’m assigning each task that we have, like internally, from the team to one of these projects. So if we agree on what are the projects, and where are those estimates? Then we are. Gonna see the like, the detail of all of those projects within the tasks that we have. Okay.
39 00:04:45.480 ⇒ 00:04:56.774 Aman Nagpal: Yeah, no, that that makes sense. Right? I like the way we’re tagging the different projects. I think it might even make sense to just get rid of the estimated hours on this timeline sheet. Because
40 00:04:57.360 ⇒ 00:04:58.179 Aman Nagpal: I don’t know
41 00:04:59.220 ⇒ 00:05:09.030 Aman Nagpal: on this hours estimates. Maybe we can add another column called approval status, and that can be, you know, if I approve it.
42 00:05:09.030 ⇒ 00:05:09.460 Nicolas Sucari: Yeah.
43 00:05:09.460 ⇒ 00:05:19.130 Aman Nagpal: Start. So we can have a list of projects we want to do if I you know we have the hours there. I approve it to start. That can be changed to, you know, approved to start or on hold.
44 00:05:19.740 ⇒ 00:05:20.350 Nicolas Sucari: What do you think?
45 00:05:20.350 ⇒ 00:05:31.610 Nicolas Sucari: Let me do this? Yeah, definitely. Approval status. I’ll just make it maybe. Select. And the options should be like approved.
46 00:05:31.610 ⇒ 00:05:32.760 Aman Nagpal: Proof to start.
47 00:05:34.020 ⇒ 00:05:35.670 Nicolas Sucari: Yeah, approved to start.
48 00:05:40.590 ⇒ 00:05:41.820 Nicolas Sucari: yeah, what else?
49 00:05:41.820 ⇒ 00:05:47.319 Aman Nagpal: Cost. Optimization, right is, you know, I spoke to autumn about this. We did a ton of that in the last
50 00:05:47.450 ⇒ 00:06:01.730 Aman Nagpal: contract, and this to me. It should just be in port. The portal migration replace 5 train with portable I/O is the name of the project. Everything that’s involved in that project goes in that right on the in the timeline. It should just be named.
51 00:06:01.730 ⇒ 00:06:02.070 Nicolas Sucari: Yeah.
52 00:06:02.424 ⇒ 00:06:06.680 Aman Nagpal: And Autumn said, You know, that’s gonna be capped at 10 h.
53 00:06:07.310 ⇒ 00:06:29.090 Nicolas Sucari: Yeah. Yeah. And this was capped to 10 h between us. We we now we that’s now finished. We. We have now gorgeous data in Okendo recharge everything in shopify. We just need to. Well, north beam was not part of that migration, because we didn’t have North beam before. In fact. So right now, like, we have that in in North Beam, like in another line, there.
54 00:06:29.290 ⇒ 00:06:32.210 Aman Nagpal: Yeah, Northeas gonna be brand new data source, right? That I totally get.
55 00:06:32.210 ⇒ 00:06:42.949 Nicolas Sucari: Exactly. Yeah. Okay. So we have replace 5 5 with portable. That’s fine. That’s approved to start gross margin, dashboard, B, 2. Or maybe we can replace this to be net margin right?
56 00:06:42.950 ⇒ 00:06:43.600 Aman Nagpal: Nice
57 00:06:44.140 ⇒ 00:06:52.339 Aman Nagpal: and then, initially, I think he said it was gonna be on the lower end. But then, if we had edits, then it would reach, you know, maybe around the 10 h range. So is that where we’re at.
58 00:06:52.660 ⇒ 00:07:01.450 Nicolas Sucari: Yeah, yeah, because we already deliver some of that. And we got the feedback from Justin. And we are yeah, working on that to finish finish at this week.
59 00:07:01.850 ⇒ 00:07:06.439 Aman Nagpal: Okay. So this one, maybe the approved to start make green. And then.
60 00:07:06.440 ⇒ 00:07:12.650 Nicolas Sucari: Yeah, wait, I’ll I’ll I’ll change your edit permission to and edit.
61 00:07:12.650 ⇒ 00:07:13.290 Aman Nagpal: Thank you. Yeah.
62 00:07:13.680 ⇒ 00:07:15.370 Aman Nagpal: It’s up your stuff. I know it can be.
63 00:07:15.370 ⇒ 00:07:26.400 Nicolas Sucari: No, that’s fine. Try. Try to click on on net margin there, can you, or refresh. If you want, you should be able to open. Yeah, and change stuff right now.
64 00:07:28.280 ⇒ 00:07:31.650 Aman Nagpal: Awesome. Yeah. So let’s do
65 00:07:32.030 ⇒ 00:07:33.939 Aman Nagpal: approved to start can be green.
66 00:07:33.940 ⇒ 00:07:34.450 Nicolas Sucari: Yeah.
67 00:07:34.450 ⇒ 00:07:38.529 Aman Nagpal: The other one can be called coloring this.
68 00:07:39.695 ⇒ 00:07:40.250 Aman Nagpal: Pending.
69 00:07:40.510 ⇒ 00:07:41.220 Nicolas Sucari: Yeah.
70 00:07:41.220 ⇒ 00:07:42.750 Aman Nagpal: And that gray.
71 00:07:43.590 ⇒ 00:07:45.539 Nicolas Sucari: We can create another one if you want.
72 00:07:45.910 ⇒ 00:07:47.069 Nicolas Sucari: But no, that’s fine.
73 00:07:48.502 ⇒ 00:07:54.160 Aman Nagpal: Yeah, maybe maybe we end up making another one build Amazon dashboard and Meta base. That’s 6 to 8 h.
74 00:07:54.470 ⇒ 00:07:59.060 Aman Nagpal: That’s approved Amazon address. Matching this.
75 00:07:59.230 ⇒ 00:08:24.140 Aman Nagpal: we said, Okay, yeah, it’s included here. 5 to 6 h to match historical data, 2 to 4 h to have the same algorithm functioning in real time to put clean data into Snowflake. So it sounds like, I don’t know if you were in that thread, but they want the ability to get the Csv. From T. Plex for Amazon customers and upload it every so often. Right? So what would that look like, and how many hours is that.
76 00:08:24.670 ⇒ 00:08:40.680 Nicolas Sucari: So I’m not sure right now how many hours. But what we are doing with that is, if we’re gonna receive that Csv every week we’re gonna run the the python script that we have. And and yeah, get that data in into Snowflake every time and do like rerun that matching every time with a new file.
77 00:08:41.169 ⇒ 00:08:53.539 Aman Nagpal: So basically, what we need to do. Yeah, very, very simple. Like few boxes on a page, attach it to that same python script, post it somewhere and let it run and let them upload the sheet and let the python script run right.
78 00:08:53.990 ⇒ 00:09:09.959 Nicolas Sucari: Yeah, I don’t know how that is triggered if it is manually done, or if we need to like, or if or if we’re gonna create that app right now, I think we’re gonna go with the manual trigger with the python script that we have. And if we can work on creating that stream lead app, we can. We can do it. Yeah.
79 00:09:10.660 ⇒ 00:09:13.250 Aman Nagpal: Okay, yeah, that’s what Rob was saying. Because I think.
80 00:09:13.380 ⇒ 00:09:13.700 Nicolas Sucari: Yeah.
81 00:09:13.700 ⇒ 00:09:40.639 Aman Nagpal: I mean, yeah, well, we’re gonna need to be able to do it on our own right? So just let me know what the quote, for that ends up being and I added to this project tracker, so Amazon tracking will leave. That’s that was approved. That’s fine. For the existing stuff. You guys did the whole algorithm stuff. That it’s sounded like we got a ton more matches. So that’s great north beam as a data source. I know there was a 1 to 2 HI know there’s a wait on them. So
82 00:09:40.640 ⇒ 00:09:41.900 Aman Nagpal: yeah, so on it.
83 00:09:42.110 ⇒ 00:10:05.449 Nicolas Sucari: Yeah. Right now, as we scaled our portable plan app the team is gonna start working on that connector, and we should receive an estimation from them so to or when that’s gonna be ready. But we don’t need to do anything yet. If they don’t seem to to solve that. We’ll see how what other way we have to getting that the data. But it shouldn’t be a problem. We can get it in a week. Yeah.
84 00:10:05.930 ⇒ 00:10:08.866 Aman Nagpal: Okay. Awesome. Yeah. So this was approved as well.
85 00:10:09.330 ⇒ 00:10:11.220 Aman Nagpal: Plex will wait.
86 00:10:11.220 ⇒ 00:10:11.560 Nicolas Sucari: Yeah.
87 00:10:11.560 ⇒ 00:10:16.460 Aman Nagpal: Ours. And now let’s figure out what else.
88 00:10:16.460 ⇒ 00:10:32.990 Nicolas Sucari: Yeah. Okay. So moving forward, I think we have the gorgeous reporting. We have the questions that from you. I don’t know if you if you want us to start like working on having a dashboard and trying to show the data there and then, like, yeah, continue to
89 00:10:33.531 ⇒ 00:10:40.859 Nicolas Sucari: to to improve a a new dashboard. But yeah, if not, we need like your requirements on what will be like the next steps on that.
90 00:10:41.550 ⇒ 00:10:50.370 Aman Nagpal: Got it. So the north, the gorgeous data we already had inputted. And you guys in under the portable project, switch it over. So data was done.
91 00:10:51.990 ⇒ 00:10:53.860 Aman Nagpal: creating the reports and dashboards right.
92 00:10:53.860 ⇒ 00:10:54.660 Nicolas Sucari: Yeah, yeah.
93 00:10:54.660 ⇒ 00:11:17.420 Aman Nagpal: So gorgeous group. Let’s call it dashboard. v, 1, and let’s do. We’ll be very specific about this. So the list, I think you re you forward it again. Yep, I see it. Let’s at this these. Honestly, we’re gonna want more. So we can call that V 2 later. But these are going to be very, very basic ones. So
94 00:11:18.030 ⇒ 00:11:25.899 Aman Nagpal: couple of things, all all of these except the 4th one, I think we can do right away. And they’re very basic. Right? This is what maybe like an hour or 2.
95 00:11:27.380 ⇒ 00:11:42.300 Nicolas Sucari: Yeah, I should I? I’m not gonna be able to tell you like how much hours are gonna be. But I’m gonna go back with the team and try them to estimate, because, yeah, I I’m not sure how many hours that will be. Okay. But yeah, bullets, one to 5, not including 4.
96 00:11:43.940 ⇒ 00:11:45.539 Aman Nagpal: I’m just gonna make my note there.
97 00:11:46.028 ⇒ 00:11:53.989 Aman Nagpal: And you guys let me know this one. We need recharge data. So I think we had recharge data flowing already, didn’t we? Last time.
98 00:11:54.380 ⇒ 00:11:55.280 Nicolas Sucari: Yeah.
99 00:11:55.590 ⇒ 00:11:58.829 Aman Nagpal: So do we have the recharge data now as well.
100 00:12:00.400 ⇒ 00:12:03.889 Nicolas Sucari: We have the recharge data in in Snowflake. Yes.
101 00:12:03.890 ⇒ 00:12:05.760 Aman Nagpal: And it’s syncing via portable.
102 00:12:06.200 ⇒ 00:12:23.370 Nicolas Sucari: Yeah, right now, like one. Once we scale the plan app, I think you did that. Witham today. Yeah, we should be syncing like more frequently until now, we have like an initial sync. But right now, we have, like, yeah, like a frequent sync every hour, I think I’m I’m gonna check how that’s set up. But yeah, I think it’s gonna be every hour.
103 00:12:23.940 ⇒ 00:12:35.900 Aman Nagpal: Okay? So in that if that’s the case, then I then we’re good, then to do number 4 also. So we would do which agents are canceling based on
104 00:12:36.340 ⇒ 00:12:47.510 Aman Nagpal: these recharge data for canceling subscription. So you know, I think we’ll need to discuss which data points to look at which properties and stuff to look at, happy, to hop on a call, or do it asap.
105 00:12:47.510 ⇒ 00:12:47.830 Nicolas Sucari: Yeah.
106 00:12:48.050 ⇒ 00:12:52.690 Aman Nagpal: Just let me know. But I think we can handle that 4th bullet as well. Then, if we have the data.
107 00:12:53.110 ⇒ 00:12:53.760 Nicolas Sucari: Okay.
108 00:12:54.010 ⇒ 00:13:04.589 Nicolas Sucari: yeah, what I’m gonna do is like, I’m gonna go with these like requirements to the team, try to understand what we need. And if we then need like more information or open a call with you, I’ll let you know. Okay.
109 00:13:04.980 ⇒ 00:13:09.840 Aman Nagpal: Yeah, that sounds good, I think, which macros are being used the most that we have.
110 00:13:09.940 ⇒ 00:13:22.859 Aman Nagpal: you know, Macro, being used, that should be fine same thing with ticket field. We have the ticket fields table which we had last time. So just how often they’re used, which agent uses which macros the most.
111 00:13:24.520 ⇒ 00:13:29.599 Aman Nagpal: Yeah, this this stuff should be pretty simple. I think we’ll get more that we want
112 00:13:29.740 ⇒ 00:13:40.129 Aman Nagpal: is a little bit more in depth that we’ll we’ll get for like we’ll call it v. 2, and those should be coming shortly. But for now we can get this done. So that’s good for gorgeous right.
113 00:13:40.910 ⇒ 00:13:42.459 Nicolas Sucari: Yeah, that’s good for gorgeous. Yeah.
114 00:13:42.460 ⇒ 00:13:47.629 Aman Nagpal: Okay, what else? Off the top of your head that we have, or we were working on or lined up.
115 00:13:49.900 ⇒ 00:13:54.199 Nicolas Sucari: Let me check my other dashboard.
116 00:13:56.750 ⇒ 00:14:22.360 Nicolas Sucari: So yeah, on. On the that engineering side, we need to move like like all of the sequel queries that we have. You remember that we have all of those sequel queries in metase. We need to move that into like our Dbt environment, like, so that it so that none of that queries live on metabase, on like the reporting side of things. And it lives in our Github Repository with all of the modeling stuff
117 00:14:22.470 ⇒ 00:14:24.650 Nicolas Sucari: that’s like we have some kind of
118 00:14:24.750 ⇒ 00:14:47.609 Nicolas Sucari: those tasks in the backlog, too, that it requires like maintenance and a couple of hours to work on having all of the modeling side of things like pretty like tidy right? So that we can then continue and create better reports later, because, if not, it’s gonna be like a mess. If we have, like all of the queries in metabase and not in
119 00:14:47.820 ⇒ 00:14:49.500 Nicolas Sucari: in in our code base.
120 00:14:50.430 ⇒ 00:14:56.790 Aman Nagpal: Yeah. Moving it over makes sense to me. My only question is, was there a reason we didn’t do it in Dbt, in the 1st place, and we did it in metabase.
121 00:14:57.320 ⇒ 00:15:17.389 Nicolas Sucari: No, the for that’s because as as we didn’t have, like all of the data there, we just connected the metabase data to the previous data data sources that we have. That’s why we have everything in metabase. But right now we should move everything to the Bt. We are. We are moving that we just need like to spend a little bit more time trying to finish that up.
122 00:15:18.180 ⇒ 00:15:24.504 Aman Nagpal: Yeah, that works. I mean it. It doesn’t sound like that’s too big of an undertaking should be pretty quick. How many hours.
123 00:15:25.539 ⇒ 00:15:40.249 Nicolas Sucari: I need to check with the engineers. But I I’m not. I don’t think it’s gonna be a lot but yeah, I need to check. How many queries do we have still planning to move? And yeah, I’ll let you know. I can add all the estimates there, and you can and let you know, so you can come back and check there if you want.
124 00:15:41.160 ⇒ 00:15:44.090 Aman Nagpal: Well, I’m just gonna add it here. Then metabase to
125 00:15:45.091 ⇒ 00:15:46.549 Aman Nagpal: what do we say? Dvt.
126 00:15:47.200 ⇒ 00:15:47.680 Nicolas Sucari: Then.
127 00:15:48.400 ⇒ 00:15:55.610 Nicolas Sucari: yeah, perfect, perfect. Then another one that we have is are you using real or are? Aren’t you using it at all?
128 00:15:56.550 ⇒ 00:16:09.860 Aman Nagpal: At this point. Not much like, I said. It’s they they don’t have. They don’t really check real right? So I think it was kind of to see the data in the data warehouse, which is nice, but we haven’t made use of it yet.
129 00:16:10.155 ⇒ 00:16:36.770 Nicolas Sucari: Yeah. So let me just share we we had a call with with real team last week on Friday. They shared that. They are working on a like a dashboarding new feature. So right now, we are able to start working on different chart types, tables, and all of that like more kind of a meta base report with all of the components really able to do that now. So if you want us to try something out in real. We can do that right now. Okay.
130 00:16:37.310 ⇒ 00:16:43.890 Aman Nagpal: Would it be basically a whole visualization kind of yeah.
131 00:16:43.990 ⇒ 00:17:04.919 Nicolas Sucari: It’s yeah. It’s a whole visualization like, it’s a new. It’s a like a new tool. Right now, we were just using it to explore the data because of the limits, the limited visualization components that they have. But right now, they added, like a bunch of new components, they have, like bar chart line chart. They are working in pie charts, they have dynamic tables, they have a markdown.
132 00:17:04.920 ⇒ 00:17:06.530 Aman Nagpal: So it would be like amplitude.
133 00:17:06.530 ⇒ 00:17:10.470 Nicolas Sucari: It would be like, yeah, or yeah, like a new new amplitude or metase. Yeah.
134 00:17:10.470 ⇒ 00:17:14.490 Aman Nagpal: Like drag amplitude is more drag and drop. This would be more drag and drop, or it would require SQL.
135 00:17:14.760 ⇒ 00:17:44.299 Nicolas Sucari: It will require some code, but you will be able to do it throughout a ui that they have. Like, yeah, just selecting different metrics and and models that you created, and then just adding that to the to the charts, so reporting should be like easier if in in really, if you want, we can like create a demo dashboard for you to to you. Just look at that, and if you like that, we can then go with more details on on that one, just to not spend a lot of time in real.
136 00:17:44.910 ⇒ 00:17:45.900 Aman Nagpal: Yeah.
137 00:17:47.230 ⇒ 00:18:04.799 Nicolas Sucari: I. I’m also wondering if it’s a good move or not, because I know that Justin and Jared like they don’t want a lot of tools. And I know we are. We’re right now using Meta base, and I don’t want to change everything again now. But that’s a possibility now, like real, has that like available for us. Now.
138 00:18:07.020 ⇒ 00:18:07.470 Aman Nagpal: Yeah.
139 00:18:07.470 ⇒ 00:18:09.979 Nicolas Sucari: Just wanted to give you the all the options. Okay.
140 00:18:10.240 ⇒ 00:18:16.360 Aman Nagpal: No, thank you. That’s that’s super helpful, I think. Let’s take a look at what if you have any
141 00:18:16.692 ⇒ 00:18:23.277 Aman Nagpal: links or anything I could look at of what it could look like and how it could function. I don’t want to spend the work yet until we make a decision.
142 00:18:24.061 ⇒ 00:18:26.139 Aman Nagpal: Like you said. We don’t want to keep switching.
143 00:18:26.140 ⇒ 00:18:30.469 Nicolas Sucari: Yeah, yeah, I’ll prepare something, and I’ll get back to you so that you can take a look. Okay.
144 00:18:30.470 ⇒ 00:18:36.230 Aman Nagpal: Yeah, for now, I think our main tools are going to be metabase
145 00:18:37.169 ⇒ 00:18:48.829 Aman Nagpal: and then we can see what happens with rail if we want to switch to Meta Base. But the everything we’re moving from Meta Base to Dbt, let’s say right. If tomorrow I decide, I want to switch from Meta Base to an alternative. That’s.
146 00:18:48.830 ⇒ 00:18:50.429 Nicolas Sucari: Better to have it individually. Yeah.
147 00:18:50.600 ⇒ 00:18:56.260 Nicolas Sucari: yeah, because if we have the code and the logic that we’re using in Dbt, then we can reuse that tool to every other tool.
148 00:18:57.220 ⇒ 00:19:03.360 Aman Nagpal: Like. It’s not an hours and hours thing. I could just go to a new tool and say, these are all my sequel queries now running in your visualization, right?
149 00:19:04.050 ⇒ 00:19:18.199 Nicolas Sucari: Yeah, it will depend on all of those other tools if they use, like the normal sequel that everyone uses, or if they use something different. But yeah, I mean, it will be just adopting that SQL queries into the tool language. But but yeah, it’s easier if we have everything individually.
150 00:19:19.630 ⇒ 00:19:20.640 Aman Nagpal: Okay, let’s
151 00:19:21.270 ⇒ 00:19:27.260 Aman Nagpal: this one. I’ll add it just so that we can remember. But we’re not gonna do anything at metabase to
152 00:19:27.890 ⇒ 00:19:31.040 Aman Nagpal: new bell visualization.
153 00:19:31.340 ⇒ 00:19:32.120 Aman Nagpal: Okay.
154 00:19:32.120 ⇒ 00:19:37.219 Nicolas Sucari: Yeah, just leave that. Maybe new status. Yeah. Okay, like for exploration.
155 00:19:37.920 ⇒ 00:19:39.470 Aman Nagpal: Yeah, that sounds good.
156 00:19:40.476 ⇒ 00:19:42.059 Aman Nagpal: What what else? Anything else?
157 00:19:42.590 ⇒ 00:20:06.239 Nicolas Sucari: So. And then we have like everything that Robert was thinking about different things on analysis. So maybe I’ll get back to them like, we have all of those customer identification status the user acquisition reporting. And all of that I’m not sure. Like, what other priorities do you have? Or do you want us to be like thinking of working? And we can. Yeah, come back and talk about that.
158 00:20:07.780 ⇒ 00:20:11.902 Aman Nagpal: Yeah, this Amazon was. One was big. The net margin should be done.
159 00:20:12.220 ⇒ 00:20:12.710 Nicolas Sucari: Yeah.
160 00:20:12.710 ⇒ 00:20:17.470 Aman Nagpal: Portable those gorgeous reports. Eventually we want.
161 00:20:17.790 ⇒ 00:20:21.099 Aman Nagpal: you know, subscriber dashboard moved over. But
162 00:20:21.290 ⇒ 00:20:25.990 Aman Nagpal: I think all of these are initial or like high priority.
163 00:20:26.496 ⇒ 00:20:29.359 Aman Nagpal: Before we get to that, I guess. What was the
164 00:20:29.720 ⇒ 00:20:32.890 Aman Nagpal: day we started this contract. January.
165 00:20:34.370 ⇒ 00:20:35.700 Aman Nagpal: I’m trying to find a date.
166 00:20:36.773 ⇒ 00:20:38.289 Nicolas Sucari: Let’s coming to your emergency.
167 00:20:38.740 ⇒ 00:20:39.290 Aman Nagpal: For the 20.th
168 00:20:39.290 ⇒ 00:20:39.970 Nicolas Sucari: I think.
169 00:20:40.160 ⇒ 00:20:43.249 Nicolas Sucari: Yeah, I think it was January 20, January 20. Yeah.
170 00:20:43.780 ⇒ 00:20:46.470 Aman Nagpal: Okay, so 1, 2, 3,
171 00:20:54.210 ⇒ 00:20:58.650 Aman Nagpal: or so at this point, we’ve completed 4 weeks over that right? One month.
172 00:21:00.385 ⇒ 00:21:03.539 Nicolas Sucari: Yes, yes, we’re right on that.
173 00:21:03.540 ⇒ 00:21:04.800 Aman Nagpal: 80 h.
174 00:21:05.590 ⇒ 00:21:11.050 Aman Nagpal: I guess I wanna know what items out of the projects.
175 00:21:11.320 ⇒ 00:21:17.890 Aman Nagpal: You know. I know you have the the hours list. But from a project perspective, those 80 h where those spent.
176 00:21:18.720 ⇒ 00:21:29.849 Nicolas Sucari: Okay, okay, I can prepare that. And and yeah, adding to that actual hours and all of those projects, and also add anything else. If I see what else do we have there? Okay.
177 00:21:29.850 ⇒ 00:21:31.270 Aman Nagpal: And you know I can go.
178 00:21:31.270 ⇒ 00:21:33.609 Nicolas Sucari: In all of the reports. Yeah, yeah.
179 00:21:33.900 ⇒ 00:21:54.900 Aman Nagpal: So, you know, if it so happens that, hey? There was some stuff delayed because he was out and things like that. But you know. Maybe we didn’t use the full project based 80 h. And we need to catch up. That’s perfectly fine. You know, no issues there, I just wanna make sure that. You know, we’re very, we’re using the hours or specifically what the goal is. Right?
180 00:21:55.656 ⇒ 00:22:03.809 Aman Nagpal: So yeah, if you can figure that out. And if if there’s still stuff left we’ll catch up on it. No big deal. I just want to make sure that we’re all aligned on that.
181 00:22:05.280 ⇒ 00:22:07.700 Nicolas Sucari: Okay, okay, perfect. Yeah, I can do that.
182 00:22:08.030 ⇒ 00:22:09.820 Aman Nagpal: I’ll prepare that report
183 00:22:10.240 ⇒ 00:22:16.768 Aman Nagpal: looking at this one. I know you’re already, gonna you know. Take a look at that this bottom chart, move it to the top chart chart.
184 00:22:17.130 ⇒ 00:22:21.639 Aman Nagpal: But what is amplitude to Meta? Base report migration? These are just.
185 00:22:23.110 ⇒ 00:22:29.939 Nicolas Sucari: No, just close this one. Yeah, this is just like a template that we have. But if you click on the little arrow on the left
186 00:22:30.080 ⇒ 00:22:31.600 Nicolas Sucari: for amplitude.
187 00:22:31.940 ⇒ 00:22:32.850 Nicolas Sucari: Yeah.
188 00:22:32.970 ⇒ 00:22:53.170 Nicolas Sucari: click on that one. The idea was to add, like this is the Amazon dashboard that we are moving from Meta Base to sorry from amplitude to metabase, and if we have, like more other reports, that we should move from amplitude to metabase, the idea was to add like sub items there, so that we can see, like the entire project of migrating amplitude to metabase. And then the details of everything.
189 00:22:53.423 ⇒ 00:23:06.860 Nicolas Sucari: The same. If you click on the Etl cost optimization. There on the arrow of the left, you’ll see, like all of the tools that we were doing all of the integration and modeling stuff that we had. That was my idea to give you a little bit more details on that stuff.
190 00:23:07.182 ⇒ 00:23:18.579 Nicolas Sucari: So we can have it here, or we can scroll down, and you’ll see that kind of tags in each of the tasks that we are using for, like the report, the project tracking with all of the team.
191 00:23:19.410 ⇒ 00:23:22.490 Aman Nagpal: No, this is great. I love the organization. This is super helpful.
192 00:23:23.036 ⇒ 00:23:27.630 Aman Nagpal: I think as long as the main main project name here matches what’s here?
193 00:23:27.630 ⇒ 00:23:44.779 Nicolas Sucari: Exactly. That’s that’s what we need to match like main project name. And I think the task underneath that. If if we can agree on. What are the names of these projects I think the ones that we need to use are the ones that are in our estimates table. I’ll I’ll move that into that timeline. And if that’s okay, we can use that. Okay.
194 00:23:45.230 ⇒ 00:23:49.750 Aman Nagpal: Perfect, I’m gonna add an estimated delivery date. Does that work.
195 00:23:50.130 ⇒ 00:23:51.130 Nicolas Sucari: Yeah, okay.
196 00:23:51.130 ⇒ 00:23:51.963 Aman Nagpal: And then
197 00:23:52.490 ⇒ 00:23:58.090 Aman Nagpal: Whatever we think, each thing is going to be delivered. That you, you know. Let us know. We can keep track of here.
198 00:23:59.390 ⇒ 00:24:00.020 Nicolas Sucari: Perfect.
199 00:24:00.250 ⇒ 00:24:06.100 Aman Nagpal: You’re gonna let me know about, you know, the 1st month hours. What’s left? What’s still to do?
200 00:24:08.250 ⇒ 00:24:09.680 Aman Nagpal: We we
201 00:24:10.080 ⇒ 00:24:19.050 Aman Nagpal: are most likely hiring somebody, so I think there will be some sort of training. I don’t know. I gotta figure out exactly what we’re there, but I will let you know on that
202 00:24:19.682 ⇒ 00:24:25.809 Aman Nagpal: okendo I saw in here. That’s a good reminder. So we had the Okendo data. Okendo data also, right?
203 00:24:26.160 ⇒ 00:24:35.730 Nicolas Sucari: Yeah, we have the Okando data in Snowflake. We also need, if you want reporting or dashboarding regarding Okando, we need like details. And we can add like a new project there, and start work. That, too.
204 00:24:35.730 ⇒ 00:24:39.770 Aman Nagpal: Yes. Did I ever give you any list of what Okendo data we want.
205 00:24:40.100 ⇒ 00:24:42.879 Nicolas Sucari: No, not for organo, just for gorgeous.
206 00:24:43.690 ⇒ 00:24:48.359 Aman Nagpal: For the sake of having tasks laid out, we can start with
207 00:24:49.197 ⇒ 00:24:53.400 Aman Nagpal: where’s the review moving over the amplitude? One to.
208 00:24:53.400 ⇒ 00:24:54.250 Nicolas Sucari: Okay.
209 00:24:54.548 ⇒ 00:24:56.040 Aman Nagpal: Meta base. I think that.
210 00:24:56.346 ⇒ 00:25:01.480 Nicolas Sucari: That is, do you have the link for amplitude? Report.
211 00:25:01.900 ⇒ 00:25:07.802 Aman Nagpal: Yes, I’m pulling that up right now. Actually, let me share my screen, and maybe you can.
212 00:25:08.520 ⇒ 00:25:11.339 Aman Nagpal: alright, let me share the link, because I’m already sharing this one.
213 00:25:13.090 ⇒ 00:25:13.455 Nicolas Sucari: Okay.
214 00:25:14.140 ⇒ 00:25:16.609 Aman Nagpal: Okay. I just sent it in the chat.
215 00:25:19.240 ⇒ 00:25:20.490 Nicolas Sucari: Yeah, perfect.
216 00:25:21.600 ⇒ 00:25:22.090 Aman Nagpal: Okay.
217 00:25:22.090 ⇒ 00:25:23.420 Nicolas Sucari: Let me go! Get that.
218 00:25:24.070 ⇒ 00:25:28.820 Aman Nagpal: Amplitude to metabase.
219 00:25:32.450 ⇒ 00:25:35.670 Aman Nagpal: Okay, do you? Can you see it? The report.
220 00:25:36.290 ⇒ 00:25:36.830 Nicolas Sucari: Yep!
221 00:25:36.930 ⇒ 00:25:38.639 Nicolas Sucari: Review dashboard! Perfect.
222 00:25:38.640 ⇒ 00:25:45.380 Aman Nagpal: So it’s a lot of averages just grabbing the data from the O. Kendo Api. We
223 00:25:47.320 ⇒ 00:25:55.680 Aman Nagpal: don’t pull the pending. So what happens is reviews come in, then someone on our team approves or rejects the reviews right
224 00:25:55.800 ⇒ 00:26:06.050 Aman Nagpal: once it was pending. We. I don’t think we’re syncing it here. I think it’s only when I we can confirm. I think it’s only when it’s approved or rejected.
225 00:26:07.190 ⇒ 00:26:07.930 Aman Nagpal: Let’s check.
226 00:26:11.370 ⇒ 00:26:14.290 Aman Nagpal: I’d have to check the Api what we’re doing there. But yeah, my, my.
227 00:26:14.290 ⇒ 00:26:23.340 Nicolas Sucari: Oh, you! You have the! You have the rejected. Here you have approved and rejected. In one of the published review by status, there is a charge there, a line chart. You just scroll down.
228 00:26:23.340 ⇒ 00:26:34.460 Aman Nagpal: Okay? So yeah, so pending, we don’t sync. As far as I know, we only sync moderated. Aka approved or rejected. We’d save those statuses. We save the sentiment now.
229 00:26:35.023 ⇒ 00:26:41.610 Aman Nagpal: If you see the one below that the review metrics, you can see it’s by product. You know, we would want this chart as well.
230 00:26:41.610 ⇒ 00:26:42.270 Nicolas Sucari: Name.
231 00:26:42.480 ⇒ 00:26:51.429 Aman Nagpal: Yeah, I think this might just be coming from the O. Kendo product name property in the data rather than shopify
232 00:26:54.020 ⇒ 00:26:56.890 Aman Nagpal: But maybe we can confirm.
233 00:26:57.260 ⇒ 00:27:00.429 Aman Nagpal: Yeah, I think it’s just coming from Okendo. Okendo should have the name.
234 00:27:01.450 ⇒ 00:27:06.910 Aman Nagpal: Okay, you can check the property.
235 00:27:08.840 ⇒ 00:27:10.739 Aman Nagpal: Let me just check really quickly.
236 00:27:14.190 ⇒ 00:27:19.259 Aman Nagpal: Yeah, the product name comes from Oquendo. Here, let me share all this with you.
237 00:27:19.640 ⇒ 00:27:22.470 Nicolas Sucari: Okay. So everything is coming from a Kendall, I guess. So.
238 00:27:22.470 ⇒ 00:27:25.279 Aman Nagpal: This was pretty basic, right? I just introduced.
239 00:27:26.420 ⇒ 00:27:36.370 Nicolas Sucari: I mean, if we if we have these, okay, if we have these, like all of the properties in the Snowflake, with all this data. I should be able to replicate this in metase.
240 00:27:36.800 ⇒ 00:27:37.540 Aman Nagpal: Hmm.
241 00:27:38.790 ⇒ 00:27:39.360 Nicolas Sucari: Right.
242 00:27:40.240 ⇒ 00:27:51.950 Aman Nagpal: Yeah, yeah, yeah, I. I don’t think we’re using any other source for this. I think it’s yeah. This is all straight from Workendo. I sent you a screenshot of what some of the properties are that are coming in. But this one’s pretty doable right.
243 00:27:52.750 ⇒ 00:28:11.090 Nicolas Sucari: Yeah. So let me get back to the team. Try to estimate the Amazon Tiplik Csv stuff. How many hours that will be the gorgeous dashboard b, 1 and the Okendo stuff, maybe and the how, how much, how many hours we’re gonna spend moving these equal queries. I’ll get everything here into you.
244 00:28:11.660 ⇒ 00:28:19.819 Nicolas Sucari: And and yeah, get back to you so that you can. You can start looking. And if you approve those ones, we are yeah, starting with those new dashboards. Okay?
245 00:28:20.590 ⇒ 00:28:24.659 Aman Nagpal: That’s perfect. And I’m gonna add one more north being metrics dashboard.
246 00:28:24.850 ⇒ 00:28:30.280 Aman Nagpal: Okay, I know I’m sending you the links in the chat. I should probably just be adding them to
247 00:28:30.490 ⇒ 00:28:34.029 Aman Nagpal: the doc. But added that one.
248 00:28:34.030 ⇒ 00:28:34.600 Nicolas Sucari: Okay.
249 00:28:35.020 ⇒ 00:28:38.790 Aman Nagpal: I’m going to add this one.
250 00:28:40.750 ⇒ 00:28:47.529 Aman Nagpal: Move northeametrics, dashboard. Amplitude to metabase.
251 00:28:51.310 ⇒ 00:28:54.189 Aman Nagpal: Okay, pulling up this one.
252 00:28:55.880 ⇒ 00:28:56.630 Nicolas Sucari: Perfect.
253 00:28:59.620 ⇒ 00:29:02.240 Aman Nagpal: Oh, wrong one.
254 00:29:08.110 ⇒ 00:29:15.909 Aman Nagpal: Okay, this one. It’s also it’s just a lot of different reports. But in terms of data sources, it’s
255 00:29:16.710 ⇒ 00:29:21.590 Aman Nagpal: pretty easy, because it’s only using shopify and north beam, which is what we already have.
256 00:29:22.533 ⇒ 00:29:51.700 Aman Nagpal: We have. We’re getting all the north beam data and North really is the spend and the breakdowns and the breakdowns include. So what happens is, we have all the platforms, Facebook, Tiktok, etc. All the ad platforms we ourselves create kind of organization in North beam, dashboard, to say, breakdown by country breakdown by product, name, breakdown by. I guess those are the 2 big ones. So
257 00:29:51.830 ⇒ 00:30:07.284 Aman Nagpal: we are only pulling the spend data, none of the attribution data. And we’re pulling in our breakdown. So it’s gives us a Csv data broken down by country broken down by Ad platform broken down by product name. And we’re using that spend data to create these reports.
258 00:30:07.600 ⇒ 00:30:08.250 Nicolas Sucari: Okay.
259 00:30:08.560 ⇒ 00:30:25.260 Nicolas Sucari: but this one, we still we will need to wait until we have the north data in Snowflake coming to portable or through other way. But once we have that out and I’ll take a look into the data and we’ll see how how much time we’ll get to to replicate this dashboard there in metase. If you want.
260 00:30:25.780 ⇒ 00:30:30.159 Aman Nagpal: Yeah, yeah, yeah, once that data is done that we can move forward with this, I just want to get it added to the list
261 00:30:30.510 ⇒ 00:30:31.100 Nicolas Sucari: Yes.
262 00:30:31.100 ⇒ 00:30:38.009 Aman Nagpal: Look, see if you see anything that requires more data than shopify or north team. I’m seeing one that says.
263 00:30:38.250 ⇒ 00:30:46.050 Aman Nagpal: you know, like PC, 84, lp. 43. So I’m just gonna confirm where this is coming from.
264 00:30:47.760 ⇒ 00:30:53.540 Aman Nagpal: Okay, so yeah, so some of these charts, maybe even a lot of them aren’t even using north beam. They’re just
265 00:30:53.870 ⇒ 00:30:56.820 Aman Nagpal: kind of on this dashboard. For some reason.
266 00:30:57.720 ⇒ 00:30:58.350 Nicolas Sucari: Okay.
267 00:30:58.730 ⇒ 00:31:04.739 Aman Nagpal: I I’d like the main ones at the top. The Dtc. Spend the Cac. The new customer Cac.
268 00:31:05.229 ⇒ 00:31:12.570 Aman Nagpal: Daily metrics. Cac. Pretty much all like the Cac charts are. Gonna be the priority here and coming, you know.
269 00:31:14.210 ⇒ 00:31:16.650 Nicolas Sucari: Okay, so cap charts are priority.
270 00:31:18.010 ⇒ 00:31:21.440 Aman Nagpal: Okay, so yeah, do you see where it says, random extra metrics.
271 00:31:22.655 ⇒ 00:31:26.239 Nicolas Sucari: Random experiments. Yeah, we don’t need to to include that one.
272 00:31:26.410 ⇒ 00:31:33.329 Aman Nagpal: We can discuss that later, for now everything above ignore, for now ignore.
273 00:31:33.330 ⇒ 00:31:34.930 Nicolas Sucari: Random experiment.
274 00:31:35.070 ⇒ 00:31:36.040 Aman Nagpal: Yeah, perfect.
275 00:31:38.330 ⇒ 00:31:46.509 Aman Nagpal: yeah. So it seems like, yeah, 123-46-7899 charts. Using the Cac data, we sync with our current
276 00:31:46.760 ⇒ 00:31:54.720 Aman Nagpal: way. What happens is we sync it, I think, 12 pm. Eastern every day for the day prior. What happens is
277 00:31:54.940 ⇒ 00:31:59.819 Aman Nagpal: is Northeas syncing with the ad platforms every 4 HI believe, or 4 times a day.
278 00:31:59.950 ⇒ 00:32:04.720 Aman Nagpal: But even though we sync 1 12 Pm. The next day, there’s always a.
279 00:32:04.720 ⇒ 00:32:05.670 Nicolas Sucari: Panel.
280 00:32:05.670 ⇒ 00:32:06.190 Aman Nagpal: Same.
281 00:32:06.190 ⇒ 00:32:08.649 Nicolas Sucari: That’s 1% that you’re missing out right.
282 00:32:08.650 ⇒ 00:32:14.320 Aman Nagpal: Yeah, exactly. So now that we’re gonna do it with the data warehouse, it’ll just keep re-syncing right.
283 00:32:15.000 ⇒ 00:32:39.010 Nicolas Sucari: I hope. Yes, I’m not sure how. Like, yeah, I I think we’re gonna set up like as frequent as possible. The plan allows us so that we have that as as frequent as possible. But yeah, then, if we need to match north beam with anything else we’ll see how we can like, get those together and see and try to not miss anything. Yeah.
284 00:32:39.910 ⇒ 00:32:43.000 Aman Nagpal: That sounds good man. Appreciate it.
285 00:32:43.000 ⇒ 00:32:45.090 Nicolas Sucari: You this great. I
286 00:32:45.090 ⇒ 00:33:05.360 Nicolas Sucari: I appreciate your time here, and I’d like like this. We can. We can like start using like this process where you can add the requirements of what are the tasks that you need here, and we can go. Then review. Get the details, get back with the estimates and you approve. I like that because then we are like in sync on about what we should would be working. And if there are stuff that we need to.
287 00:33:05.606 ⇒ 00:33:17.170 Nicolas Sucari: Like add, I’ll I’ll get back to you. I’ll try to say, Hey, we need to work on this modeling stuff. These errors were appearing. And we need to fix this, and we can see how we can then handle in in this kind of table. Okay.
288 00:33:17.470 ⇒ 00:33:28.419 Aman Nagpal: That works for me, and if you can just do me one more favor. If, for example, Jared or somebody else asks pious, or you know, you guys to do something, and it’s not on here, and I need to add it. Just let me know.
289 00:33:29.030 ⇒ 00:33:45.659 Nicolas Sucari: Okay, yeah, I’m I’m gonna ask the team to let me know, too. I’m not in all of the conversations also. So maybe Robert is at some other channels at other points, too. So if anyone gets any requirement, I’ll ask them to to let us know. And yeah, I’ll I’ll I’ll send them to you. Okay.
290 00:33:46.220 ⇒ 00:33:48.849 Aman Nagpal: Sounds good. Actually, maybe we change this to
291 00:33:49.010 ⇒ 00:33:52.929 Aman Nagpal: status. And once it’s actually completed, I can also.
292 00:33:52.930 ⇒ 00:33:54.580 Nicolas Sucari: Yeah, we can market it. Done.
293 00:33:54.580 ⇒ 00:33:58.140 Aman Nagpal: Yeah, so is this portable one. Should I wait, or should I mark this as completed?
294 00:33:58.450 ⇒ 00:33:59.150 Aman Nagpal: I guess. Wait.
295 00:33:59.469 ⇒ 00:34:04.260 Nicolas Sucari: Yeah, I guess. Wait. Let’s see if that’s all done. But yeah, that’s that’s perfect.
296 00:34:04.800 ⇒ 00:34:20.309 Aman Nagpal: Sounds good, man. And yeah, as soon as you can let me know. That just that 1st month of hours, what we still have remaining what we you know what we can do there. Let’s just get clarified on that. But yeah, thanks again, for hopping on. This is super helpful and happy to, you know. Keep doing this.
297 00:34:21.010 ⇒ 00:34:24.789 Nicolas Sucari: Thank you, Aman super helpful for me, too. So let’s keep talking about this. Okay.
298 00:34:25.290 ⇒ 00:34:26.790 Aman Nagpal: Sounds good. Thank you.
299 00:34:27.159 ⇒ 00:34:28.339 Nicolas Sucari: Thank you. Bye-bye.