Meeting Title: PP2G Team Meeting Date: 2024-08-29 Meeting participants: Nicolas Sucari, Ryan Luke Daque, Suraj
WEBVTT
1 00:00:07.910 ⇒ 00:00:08.960 suraj: Hey, Ryan.
2 00:00:10.350 ⇒ 00:00:12.019 Ryan Luke Daque: Hey, Sirenj? How’s it going.
3 00:00:12.350 ⇒ 00:00:15.850 suraj: Good. How about you? How are you feeling now?
4 00:00:16.290 ⇒ 00:00:18.070 Ryan Luke Daque: Nice. Yeah, I’m I’m feeling well.
5 00:00:19.220 ⇒ 00:00:20.350 suraj: Great great.
6 00:00:27.800 ⇒ 00:00:29.840 suraj: Let’s wait for a minute.
7 00:00:30.330 ⇒ 00:00:31.269 Ryan Luke Daque: Do you?
8 00:00:31.830 ⇒ 00:00:33.850 Ryan Luke Daque: You have a new laptop.
9 00:00:34.946 ⇒ 00:00:49.980 suraj: Basically, I had my own laptop. But there was an issue with it like, it’s not an issue. But it’s the latest one, and it does the architecture of that laptop is the latest. And really it’s not in their binary code. Really didn’t
10 00:00:50.200 ⇒ 00:00:56.110 suraj: add that architecture that is a qualcomm snapdragon and it is not supported.
11 00:00:56.590 ⇒ 00:00:59.989 suraj: So them got me another one.
12 00:01:01.020 ⇒ 00:01:02.100 Ryan Luke Daque: Nice.
13 00:01:02.410 ⇒ 00:01:05.130 suraj: So, yeah, I just started working on it.
14 00:01:06.140 ⇒ 00:01:10.229 Ryan Luke Daque: And are you like have you like installed real already in your like new.
15 00:01:10.230 ⇒ 00:01:13.770 suraj: Yeah, yeah, everything is installed. Now, everything is working great.
16 00:01:14.970 ⇒ 00:01:16.080 Ryan Luke Daque: Nice.
17 00:01:16.370 ⇒ 00:01:17.139 suraj: Hey! Nicole!
18 00:01:17.140 ⇒ 00:01:18.040 Nicolas Sucari: Hi guys.
19 00:01:18.620 ⇒ 00:01:19.759 Ryan Luke Daque: Hi. Nicholas.
20 00:01:20.530 ⇒ 00:01:21.429 Nicolas Sucari: How are you?
21 00:01:22.420 ⇒ 00:01:24.830 Ryan Luke Daque: Doing well, doing well. How are you.
22 00:01:25.490 ⇒ 00:01:27.290 Nicolas Sucari: All good, excellent.
23 00:01:28.050 ⇒ 00:01:28.610 Ryan Luke Daque: Cool.
24 00:01:28.610 ⇒ 00:01:29.630 suraj: Nicole.
25 00:01:30.900 ⇒ 00:01:31.620 Nicolas Sucari: Crash!
26 00:01:32.000 ⇒ 00:01:33.090 suraj: Hey, Nicholas.
27 00:01:36.450 ⇒ 00:01:37.175 Nicolas Sucari: Okay?
28 00:01:37.990 ⇒ 00:01:48.670 Nicolas Sucari: yeah. I just yeah. I killed this meeting, Ryan, just because we were talking about yesterday. We do time and rush about having kind of like these
29 00:01:48.820 ⇒ 00:02:09.420 Nicolas Sucari: 30 min a day, maybe. Or, yeah, just to start working on the different tasks that we have and force Raj to ask like any questions on the data. Yesterday we went through some tasks that we, as I told you, like ideally sure, will be working on the daily Kps model
30 00:02:09.799 ⇒ 00:02:33.190 Nicolas Sucari: adding those dimensions. But as you have, like the most like the understanding of of how all of those models were created, ideally. What we can do is like rush understands. What is the information that we need, and then, ask you to like, go and change like the model and add those like columns that we need on the table, so that we can then create
31 00:02:33.750 ⇒ 00:02:37.129 Nicolas Sucari: the dimensions in real like that should be like our
32 00:02:37.470 ⇒ 00:02:42.110 Nicolas Sucari: I I don’t think it’s yeah. It should be like our our process. I think.
33 00:02:42.570 ⇒ 00:02:48.104 suraj: Yeah, yeah, for for this particular one. Let me share my screen and
34 00:02:48.900 ⇒ 00:02:50.590 suraj: go from there. Yeah.
35 00:03:04.710 ⇒ 00:03:12.727 suraj: So basically, we have this daily Kpi dashboard and we we are this is coming from
36 00:03:14.050 ⇒ 00:03:15.680 suraj: This table
37 00:03:16.700 ⇒ 00:03:19.680 suraj: daily. Kpa agg aggregate.
38 00:03:19.680 ⇒ 00:03:20.090 Nicolas Sucari: Yeah.
39 00:03:21.350 ⇒ 00:03:32.380 suraj: So we want to add right now, we only see by date, like each date basically and we want to add more dimensions.
40 00:03:32.610 ⇒ 00:03:35.330 suraj: And so he
41 00:03:35.480 ⇒ 00:03:42.619 suraj: this is what Nicholas put together. But we can add more, or see what we can add for now
42 00:03:43.172 ⇒ 00:03:48.610 suraj: and see things. So I think, like, when I was looking at the
43 00:03:54.340 ⇒ 00:03:59.979 suraj: this is, yeah, this kpi a, a, this is the one right? This is the sequel for that.
44 00:04:03.000 ⇒ 00:04:11.049 suraj: I think we didn’t discuss about this Nicholas yesterday, but I think, like can can we? Can we have marketing Kpis, with
45 00:04:11.400 ⇒ 00:04:13.100 suraj: with all this together.
46 00:04:13.420 ⇒ 00:04:13.950 suraj: Yes, yeah.
47 00:04:13.950 ⇒ 00:04:19.059 Nicolas Sucari: I mean, yesterday we were talking with Utam, and yes, I I think we can like.
48 00:04:19.140 ⇒ 00:04:31.669 Nicolas Sucari: if the aggregate table has like columns from each of these different like sources we can then have, like dimensions from each of them in the dashboard. Right, Ryan.
49 00:04:33.300 ⇒ 00:04:34.859 Ryan Luke Daque: What can you say that again.
50 00:04:35.430 ⇒ 00:04:42.670 Nicolas Sucari: Like we are using like for the daily Kpa aggregate model. We are bringing information from
51 00:04:43.350 ⇒ 00:04:49.090 Nicolas Sucari: marketing, shipping. And yeah, I think I know somewhere else. But yeah, probably marketing.
52 00:04:49.090 ⇒ 00:04:50.290 Ryan Luke Daque: Yeah, right, yeah.
53 00:04:50.300 ⇒ 00:05:07.809 Nicolas Sucari: And yeah, and those and total orders and all orders table. I think so. If we have, like the daily aggregate table with all of the columns from each of those sources. Like, then we can create like dimensions to adhere from each of them right.
54 00:05:09.630 ⇒ 00:05:10.700 Ryan Luke Daque: Yeah.
55 00:05:12.670 ⇒ 00:05:13.260 Nicolas Sucari: I mean, if we can.
56 00:05:13.376 ⇒ 00:05:13.610 Ryan Luke Daque: The 2.
57 00:05:13.610 ⇒ 00:05:17.540 Nicolas Sucari: With everything. Probably we should be able to create those dimensions.
58 00:05:18.210 ⇒ 00:05:39.069 suraj: The main. Huh? Main question is like, these are all at like, for example, platform, or a warehouse like these are at shipping and inventory level of metrics like like the order level, whereas the marketing is completely different, like. But it doesn’t have a warehouse. It doesn’t have any any other platforms. These kind of things right.
59 00:05:39.140 ⇒ 00:05:41.010 suraj: do you think? Still, we can get?
60 00:05:41.800 ⇒ 00:05:49.079 suraj: Of course, we cannot get marketing metrics at various or these level. So how do you think it will work? Ran like in the back end?
61 00:05:49.840 ⇒ 00:05:51.520 suraj: Will it duplicate
62 00:05:51.950 ⇒ 00:05:52.650 suraj: or.
63 00:05:55.250 ⇒ 00:05:55.920 Ryan Luke Daque: That’s a good.
64 00:05:55.920 ⇒ 00:05:56.920 Nicolas Sucari: No.
65 00:05:56.920 ⇒ 00:05:59.234 Ryan Luke Daque: Question, or that’s a good point.
66 00:05:59.980 ⇒ 00:06:10.940 suraj: Because do we have any other dashboard where we where we have basically, like in these all dashboards where we have marketing and order, Level Transaction level Metrics together.
67 00:06:11.600 ⇒ 00:06:15.629 Ryan Luke Daque: I don’t think we have, and that’s that’s actually one of the
68 00:06:15.750 ⇒ 00:06:16.880 Ryan Luke Daque: challenges.
69 00:06:17.000 ⇒ 00:06:18.250 Ryan Luke Daque: or like a
70 00:06:19.210 ⇒ 00:06:21.380 Ryan Luke Daque: I don’t think we have some.
71 00:06:21.380 ⇒ 00:06:22.959 suraj: Yeah, exactly.
72 00:06:22.960 ⇒ 00:06:28.090 Ryan Luke Daque: Ways to like match whatever was in the marketing to sales, for example.
73 00:06:28.580 ⇒ 00:06:29.260 Ryan Luke Daque: because, like I said.
74 00:06:29.260 ⇒ 00:06:29.700 suraj: Specific.
75 00:06:29.700 ⇒ 00:06:31.100 Ryan Luke Daque: Order. We, we
76 00:06:31.440 ⇒ 00:06:35.229 Ryan Luke Daque: currently, we don’t have a way to determine whether that’s coming from
77 00:06:36.430 ⇒ 00:06:39.760 Ryan Luke Daque: like Google ads, for example, or Facebook ads. So.
78 00:06:39.760 ⇒ 00:06:43.536 suraj: Exactly exactly that. That is not an appropriate way also, because
79 00:06:44.658 ⇒ 00:06:56.100 suraj: Nicholas can. Do you understand what I’m saying? Like, yes, yes, total impressions clicks. like marketing costs. These are like campaign level, for example, or or any other like
80 00:06:56.210 ⇒ 00:07:05.316 suraj: clicks right from Google or Amazon. Whatever the platform, whereas these all cog sales discounts click everything else is that
81 00:07:05.830 ⇒ 00:07:08.030 suraj: our like transaction level, like
82 00:07:08.060 ⇒ 00:07:14.219 suraj: the order, level each inventory product. All this stuff. So these are 2 different domains.
83 00:07:15.360 ⇒ 00:07:16.120 suraj: Usually.
84 00:07:16.120 ⇒ 00:07:26.079 Nicolas Sucari: Yeah, I I understand that. I understand. I I get it. But maybe we can like add the dimensions. And if you want to filter down, for example.
85 00:07:26.855 ⇒ 00:07:27.620 Nicolas Sucari: Like
86 00:07:27.720 ⇒ 00:07:38.609 Nicolas Sucari: to see conversions per channel like if you filter on Amazon Channel, for example, you will see like total sales as 0. Right? That’s what you’re saying.
87 00:07:39.410 ⇒ 00:07:42.379 suraj: Yeah. Yeah. So based on the user, like a
88 00:07:43.051 ⇒ 00:07:50.080 suraj: I don’t know how it’s real works in the back end. But like, if, for example, if you select a platform or a warehouse, and
89 00:07:50.720 ⇒ 00:08:01.630 suraj: how do you think we want to see the marketing cost for that? For for example, they randomly select, of course. What if the user is have knowledge enough? They will not see this these metrics. But
90 00:08:01.910 ⇒ 00:08:04.310 Nicolas Sucari: Yeah, exactly. I I mean, I I think
91 00:08:04.430 ⇒ 00:08:22.080 Nicolas Sucari: I think they they have the knowledge to do that. But yeah, I think like the the best way to do this is like, if you filter to filter down some information, just the measures that are affected by that dimension should change right like that should be the correct way of real to work.
92 00:08:22.260 ⇒ 00:08:31.449 Nicolas Sucari: I don’t know if that’s the way, if it is working now, like you, just like click on one dimension, and every other measure that you have there gets filtered by that one right.
93 00:08:32.240 ⇒ 00:08:43.399 suraj: Yeah, yeah, if that works, that is great. I I’ll check also that part. But what what do you think in the back end Ryan like it works in in your query or model.
94 00:08:43.787 ⇒ 00:08:46.360 suraj: Do you think it is feasible enough
95 00:08:47.360 ⇒ 00:08:56.439 suraj: to add these all dimensions at these levels. And and what happens when for marketing cost or clicks or impressions like it will duplicate.
96 00:08:58.550 ⇒ 00:08:59.240 Ryan Luke Daque: Yeah, we’ll have.
97 00:08:59.240 ⇒ 00:09:05.409 Nicolas Sucari: No, I don’t think it will duplicate. Yeah, no. Why, why it should do I I don’t think it will duplicate right.
98 00:09:06.300 ⇒ 00:09:09.060 Ryan Luke Daque: Yeah, we have to make sure it doesn’t like we can.
99 00:09:09.570 ⇒ 00:09:16.360 Ryan Luke Daque: Because currently, you can actually look at the model or the Daily Kpi dashboard if you go to
100 00:09:17.980 ⇒ 00:09:18.639 Ryan Luke Daque: Yeah, there.
101 00:09:19.940 ⇒ 00:09:24.712 Ryan Luke Daque: You. You can see, I think, most of them are just
102 00:09:26.060 ⇒ 00:09:27.350 Ryan Luke Daque: being
103 00:09:27.390 ⇒ 00:09:29.270 Ryan Luke Daque: joined by the date.
104 00:09:29.940 ⇒ 00:09:30.450 suraj: Yeah.
105 00:09:30.450 ⇒ 00:09:31.560 Ryan Luke Daque: This is, yeah.
106 00:09:32.345 ⇒ 00:09:32.890 Ryan Luke Daque: So
107 00:09:33.300 ⇒ 00:09:37.309 Ryan Luke Daque: so this would be like the metric metrics per date.
108 00:09:37.910 ⇒ 00:09:43.469 Ryan Luke Daque: Yeah, actually, I’m I’m still thinking, like, how we can try to incorporate the the dimensions.
109 00:09:44.180 ⇒ 00:09:48.634 suraj: So if you incorporate, for example, like you mentioned
110 00:09:49.060 ⇒ 00:09:55.018 suraj: let’s say, a selling platform and channels product category and
111 00:09:55.900 ⇒ 00:09:59.120 suraj: yeah warehouse. Let’s say, let’s imagine this 5.
112 00:09:59.460 ⇒ 00:10:00.150 Ryan Luke Daque: Yeah.
113 00:10:00.495 ⇒ 00:10:09.819 suraj: If you add it in shipping kpis, you can add it in refunds, I think. orders everywhere. But how about marketing? Kpis here this example.
114 00:10:09.820 ⇒ 00:10:10.550 Ryan Luke Daque: Yeah, I knew.
115 00:10:10.550 ⇒ 00:10:15.769 suraj: You have to, you have to make the granularity equal of these right. So if you add those.
116 00:10:15.770 ⇒ 00:10:16.790 Ryan Luke Daque: In case.
117 00:10:16.790 ⇒ 00:10:18.610 suraj: Impressions, these clicks.
118 00:10:19.443 ⇒ 00:10:22.480 suraj: It will duplicate! That’s what I’m saying.
119 00:10:26.010 ⇒ 00:10:26.850 Ryan Luke Daque: Yeah.
120 00:10:27.060 ⇒ 00:10:38.330 suraj: It is fine to duplicate in the, in the table itself, but in the real we have to somewhere say that if you select the dimensions. These measures should pop up.
121 00:10:38.530 ⇒ 00:10:44.999 Ryan Luke Daque: Yeah, in that case, maybe we can change the way we are creating that model like, instead of
122 00:10:45.210 ⇒ 00:10:46.450 Ryan Luke Daque: joining
123 00:10:47.160 ⇒ 00:10:50.180 Ryan Luke Daque: all those Ctes.
124 00:10:51.270 ⇒ 00:10:55.620 Ryan Luke Daque: In the final model. We can just append them or like union them
125 00:10:56.200 ⇒ 00:10:58.010 Ryan Luke Daque: is that that wouldn’t
126 00:10:59.150 ⇒ 00:11:04.269 Ryan Luke Daque: create duplicates right? Because if all, if the selling pla. If the selling platform
127 00:11:04.600 ⇒ 00:11:11.329 Ryan Luke Daque: does not exist in the marketing kpis, then it will just sum up as 0 when we look at the dimension.
128 00:11:11.850 ⇒ 00:11:16.075 suraj: Yeah, that works. If if it if you can make zeros
129 00:11:16.920 ⇒ 00:11:30.199 suraj: then it works. But either for like, for example, let’s say warehouse, like. We have 4 4 warehouses, and you have 4 warehouses, and for one of them there should be marketing metrics and other 3 should be Zeros. That’s what you’re saying.
130 00:11:32.230 ⇒ 00:11:33.929 Ryan Luke Daque: Yeah, something like that.
131 00:11:34.500 ⇒ 00:11:35.690 suraj: Yeah, yeah.
132 00:11:35.980 ⇒ 00:11:37.180 Ryan Luke Daque: We, we can change the.
133 00:11:37.200 ⇒ 00:11:38.160 suraj: You can.
134 00:11:38.160 ⇒ 00:11:40.160 Ryan Luke Daque: If you look at the final
135 00:11:40.330 ⇒ 00:11:42.640 Ryan Luke Daque: city there, like in line 48.
136 00:11:43.330 ⇒ 00:11:46.509 Ryan Luke Daque: And yeah, everything’s like joined.
137 00:11:46.840 ⇒ 00:11:48.430 Ryan Luke Daque: If you scroll down.
138 00:11:48.430 ⇒ 00:11:50.550 suraj: Yeah, based on, I think date.
139 00:11:50.870 ⇒ 00:12:01.100 Ryan Luke Daque: Yeah. So instead of joining them, we can just union them. So we will union the marketing Kpi with the shipment Kpi and the refund Kpi
140 00:12:01.210 ⇒ 00:12:06.650 Ryan Luke Daque: that way. We won’t get any duplicates, and we will still aggregate up to the same
141 00:12:07.160 ⇒ 00:12:10.149 Ryan Luke Daque: numbers in the real dashboard. I believe.
142 00:12:12.030 ⇒ 00:12:12.800 suraj: Yeah, we’ll have to.
143 00:12:12.800 ⇒ 00:12:15.100 Ryan Luke Daque: You have to test it out and see if that.
144 00:12:15.100 ⇒ 00:12:17.170 suraj: Exactly like, break anything. Yeah.
145 00:12:17.830 ⇒ 00:12:32.199 suraj: it. Yeah, we can decide on multiple things. But another question, Nicholas. So initial requirement for this dashboard. What was the actual ideology behind that like
146 00:12:33.200 ⇒ 00:12:34.010 suraj: to have.
147 00:12:34.010 ⇒ 00:12:34.640 Nicolas Sucari: Live into.
148 00:12:34.640 ⇒ 00:12:35.280 suraj: Or.
149 00:12:35.750 ⇒ 00:12:53.789 Nicolas Sucari: Yeah, yeah, like we already have like, this dashboard was just to see like those measures like to have a quick way for our client to go there and see like the different measures but Kim wanted like some deeper analysis and she asked for like to add more metrics.
150 00:12:54.226 ⇒ 00:12:55.769 Nicolas Sucari: So I think like
151 00:12:56.020 ⇒ 00:12:57.829 Nicolas Sucari: I don’t know if
152 00:12:58.420 ⇒ 00:13:08.949 Nicolas Sucari: if if we can like, make that like custom filters when you click on a dimension like to don’t affect other measures that are not affected by that I mentioned. But if we can.
153 00:13:08.950 ⇒ 00:13:09.640 suraj: And just, add.
154 00:13:09.640 ⇒ 00:13:11.229 Nicolas Sucari: Dimensions here, and
155 00:13:11.420 ⇒ 00:13:16.590 Nicolas Sucari: see how that looks, and share with that with Kim. I think then we can like improve it.
156 00:13:17.910 ⇒ 00:13:18.570 Nicolas Sucari: let’s find.
157 00:13:18.570 ⇒ 00:13:19.000 suraj: Can’t wait!
158 00:13:19.000 ⇒ 00:13:20.360 Nicolas Sucari: To work. Yeah.
159 00:13:20.360 ⇒ 00:13:28.680 suraj: Just a couple of questions. So here like for Kim she’s on the marketing side, right? She also looks at other metrics like Cox.
160 00:13:28.770 ⇒ 00:13:30.179 suraj: these kind of things.
161 00:13:31.150 ⇒ 00:13:38.980 Nicolas Sucari: Well, I I think, like it’s useful for her. I don’t know if she’s gonna step like on the detail on that one, but I think it’s useful to have, like the
162 00:13:39.401 ⇒ 00:13:41.630 Nicolas Sucari: like the general view of everything.
163 00:13:42.100 ⇒ 00:14:00.379 suraj: Okay. So I I, what I’m I’m thinking, is like, either. We can have 2 ways. One, there should be only one dashboards with all metrics, but with no dimension, just like saying, Okay, this is the profit. This is. These are the Kpis for this this date range, which is already there which makes sense.
164 00:14:00.380 ⇒ 00:14:00.720 Nicolas Sucari: Yeah.
165 00:14:00.720 ⇒ 00:14:29.979 suraj: And we can have one for completely one day daily, Kpi for one, for inventory shipping logistic, and one for marketing, saying that the dimensions. We can add all the dimensions for by remove by removing this Co. Marketing cost and impressions clicks from here. All the marketing metrics from here, and add all dimensions for only inventory guys, and another dashboards for another dashboard for only marketing, which have campaign filters, or like.
166 00:14:29.980 ⇒ 00:14:30.470 Nicolas Sucari: Yeah.
167 00:14:30.470 ⇒ 00:14:32.790 suraj: Getting dimension Filters.
168 00:14:32.790 ⇒ 00:14:33.619 Nicolas Sucari: What is.
169 00:14:33.620 ⇒ 00:14:36.560 suraj: Which is actually the appropriate way to have it.
170 00:14:36.810 ⇒ 00:14:37.960 suraj: Yeah, yeah, go ahead.
171 00:14:38.080 ⇒ 00:14:51.109 Nicolas Sucari: What? What would be the difference with the like other dashboards that we have now like with? We have the the paid marketing performance that should be like the kind of that marketing place or the Kim’s Weekly.
172 00:14:51.110 ⇒ 00:14:52.470 suraj: Really monitoring that.
173 00:14:52.650 ⇒ 00:14:53.270 Nicolas Sucari: Yeah, like.
174 00:14:53.270 ⇒ 00:14:54.130 suraj: Mistaken.
175 00:14:54.130 ⇒ 00:14:55.699 Nicolas Sucari: Only marketing stuff.
176 00:14:57.270 ⇒ 00:15:03.840 suraj: So this, yeah, exactly this, we have all dimensions for marketing on all. Kpis, right? So.
177 00:15:04.060 ⇒ 00:15:08.130 suraj: And do we have something like that? Same for inventory. This uses the one.
178 00:15:08.450 ⇒ 00:15:19.700 Nicolas Sucari: Not for inventory, but for shipping, I think. Yes, because we have like a lot of stuff on that shipping, and then the others dashboard has like everything on sales, and that and that stuff.
179 00:15:20.650 ⇒ 00:15:21.400 suraj: Okay.
180 00:15:23.680 ⇒ 00:15:31.720 suraj: So this purpose is to have every metric for the organization. I think right for mix of marketing and.
181 00:15:32.560 ⇒ 00:15:34.820 Ryan Luke Daque: Yeah. And it’s a, it’s a daily
182 00:15:35.580 ⇒ 00:15:39.899 Ryan Luke Daque: view, right? Because do we also have, like a weekly Kpi
183 00:15:40.210 ⇒ 00:15:43.280 Ryan Luke Daque: dashboard there and a monthly Kpi, so
184 00:15:45.970 ⇒ 00:15:46.770 Ryan Luke Daque: yeah.
185 00:15:47.343 ⇒ 00:15:53.800 suraj: Even though this is daily we, we have filters. I think this is daily. Yeah, I don’t think we have monthly or.
186 00:15:53.800 ⇒ 00:15:55.110 Ryan Luke Daque: Oh, right? Yeah.
187 00:15:55.110 ⇒ 00:15:55.620 suraj: Yeah.
188 00:15:55.620 ⇒ 00:15:56.890 Ryan Luke Daque: It’s not we didn’t.
189 00:15:56.990 ⇒ 00:15:59.320 Ryan Luke Daque: We have models for the monthly and weekly. But
190 00:15:59.380 ⇒ 00:16:01.330 Ryan Luke Daque: who did put it in real? Because
191 00:16:01.580 ⇒ 00:16:03.870 Ryan Luke Daque: I think we can already see it. There.
192 00:16:04.250 ⇒ 00:16:05.000 suraj: Yeah, yeah.
193 00:16:05.000 ⇒ 00:16:08.990 Nicolas Sucari: Because we have the entire. Yeah, we have the entire historical
194 00:16:09.110 ⇒ 00:16:10.270 Nicolas Sucari: data here.
195 00:16:10.610 ⇒ 00:16:11.490 Ryan Luke Daque: Makes sense.
196 00:16:12.970 ⇒ 00:16:17.659 suraj: So Kim asked to add more dimensions. Here. Nicholas.
197 00:16:17.880 ⇒ 00:16:19.809 suraj: in this particular dashboard.
198 00:16:19.810 ⇒ 00:16:20.190 Nicolas Sucari: Like.
199 00:16:20.190 ⇒ 00:16:20.640 suraj: Okay.
200 00:16:20.640 ⇒ 00:16:33.609 Nicolas Sucari: She. She uses this probably to check, like the total marketing costs and the stuff on marketing. I don’t think she looks like specifically on profit on refunds on.
201 00:16:33.610 ⇒ 00:16:58.650 Nicolas Sucari: Yeah, I don’t know other metrics, but she uses this for some stuff, and she has to add, like some metrics. Maybe what we can do is Raj. If if you, if you don’t think like adding the metrics to that dashboard is useful because we just like need that one to have, like all the metrics and that stuff. Maybe we can review teams, weekly report and the paid marketing performance ones and try to see and understand, like, what are the
202 00:16:58.660 ⇒ 00:17:06.339 Nicolas Sucari: what should be like the dashboard for keen to go check all of the information on marketing, and how that is working.
203 00:17:06.770 ⇒ 00:17:07.109 suraj: Exactly.
204 00:17:07.119 ⇒ 00:17:12.776 Nicolas Sucari: That’s what that’s why. Yesterday I also said that we need to clean a little bit.
205 00:17:13.569 ⇒ 00:17:16.319 Nicolas Sucari: the the real dashboards, because we have like a lot of dashboards.
206 00:17:16.319 ⇒ 00:17:17.289 suraj: Person, maybe.
207 00:17:17.560 ⇒ 00:17:26.559 Nicolas Sucari: We need to like, organize it a little bit better to be more directly with the information for marketing, for shipping, for the other stuff.
208 00:17:26.569 ⇒ 00:17:31.979 suraj: I’m sorry, like I thought when you said organizing. I thought that to have a folder for each marketing.
209 00:17:31.980 ⇒ 00:17:33.020 Nicolas Sucari: Yeah, yeah, I mean.
210 00:17:33.020 ⇒ 00:17:44.317 suraj: And that that makes sense. And also what you said just now also makes sense to clean the existing dashboards, to have more cleaner metrics for their department itself, and one dashboard place where we can. They can go. And
211 00:17:44.780 ⇒ 00:17:46.300 suraj: yeah, no. See all.
212 00:17:46.300 ⇒ 00:17:51.680 Ryan Luke Daque: Like ideally, there’s like we we have like a once. It’s like a 1 stop shop right like.
213 00:17:51.680 ⇒ 00:17:52.150 suraj: Yeah.
214 00:17:52.150 ⇒ 00:17:52.969 Nicolas Sucari: Yeah. Just give me.
215 00:17:52.970 ⇒ 00:17:57.630 Ryan Luke Daque: She just looks at this dashboard, and she gets all the things that she needs.
216 00:17:57.650 ⇒ 00:17:58.779 Ryan Luke Daque: It’s on here.
217 00:17:59.640 ⇒ 00:18:02.249 Nicolas Sucari: Exactly. Yeah. I think that’s what we need to.
218 00:18:03.010 ⇒ 00:18:07.810 suraj: I think also it today we have meeting with the with the
219 00:18:08.180 ⇒ 00:18:08.930 Nicolas Sucari: Chuck.
220 00:18:08.930 ⇒ 00:18:11.039 suraj: That’s right. Okay, okay.
221 00:18:11.890 ⇒ 00:18:39.151 suraj: okay, so I think, do you think, should we ask them like, what are the dashboard they’re like, for we have 15 dashboards out of 15, I think. At least 10 of them are related to order related right? So can we. We can also ask, like, what are the like most useful dashboards? And like some we are not sure like what they use. Right? Some of the dashboards, so we can ask them like
222 00:18:40.287 ⇒ 00:18:55.809 suraj: to make a list of like the highest use of the dashboard, and then the least, and then we can also try to integrate everything into one place, same for marketing, so that we cannot. We don’t need to duplicate the data or the dashboards.
223 00:18:56.660 ⇒ 00:19:11.192 Nicolas Sucari: Okay, okay, let’s let’s do the following. So on the meeting, we don’t. Gonna we’re gonna have with Jack today in an hour. I I’m gonna send like the agenda for we we’re gonna review in that meeting, but ideally is
224 00:19:11.540 ⇒ 00:19:15.960 Nicolas Sucari: And talking about yeah. The purchase order request that he’s gonna
225 00:19:16.160 ⇒ 00:19:39.030 Nicolas Sucari: he’s gonna send us talking about the unleashed integration that’s had some issues. And I will ask him about what are the like? The dashboard that he’s using or he’s not using anyone like, what should we create for him so that he can have in one place everything he needs to understand how everything is working right. Or maybe it’s not one dashboard, but are like 2 or 3. And that’s okay.
226 00:19:39.030 ⇒ 00:19:40.870 suraj: Yeah, yeah, at least, of course not.
227 00:19:40.870 ⇒ 00:19:41.380 Nicolas Sucari: Yeah, for example.
228 00:19:41.380 ⇒ 00:19:45.019 suraj: Guarantee makes sense to have one dashboard because it’s just separates.
229 00:19:45.020 ⇒ 00:19:46.649 Nicolas Sucari: Exactly. Yeah, yeah.
230 00:19:46.650 ⇒ 00:19:47.740 suraj: They may not use it.
231 00:19:47.740 ⇒ 00:19:54.501 Nicolas Sucari: I’m referring to. Yeah, that’s that’s that’s acceptable. So yeah, I’m gonna ask Jack, like, if you need to like
232 00:19:55.350 ⇒ 00:20:01.640 Nicolas Sucari: like, yeah, group, all of the information you need in 1, 2, or 3 dashboards like how you would use split it.
233 00:20:01.650 ⇒ 00:20:06.100 Nicolas Sucari: and maybe he can give us a hint on how he wants to
234 00:20:06.160 ⇒ 00:20:12.870 Nicolas Sucari: to view all of that data, and we can create, like the 3 dashboards that are worth for him, looking every day.
235 00:20:13.890 ⇒ 00:20:18.350 suraj: Got it true, perfect. For example, this one inventory metrics.
236 00:20:18.520 ⇒ 00:20:23.260 suraj: all the inventory data, and see what? What more we can also add.
237 00:20:23.704 ⇒ 00:20:37.739 suraj: In this one. We don’t need to remove or change anything just adding more stuff into this, if it is too complicated or too confusing in one dashboard, having so many dimensions and meter, then we can decide to have more.
238 00:20:37.740 ⇒ 00:20:47.340 Nicolas Sucari: Yeah, that one is kind of weird because it doesn’t have like the the like date series. So I don’t know about that one. But that’s fine.
239 00:20:48.455 ⇒ 00:20:53.629 Nicolas Sucari: Yeah, we need to ask about that. And then we need to clean this a little bit because we have like 4
240 00:20:53.660 ⇒ 00:21:01.600 Nicolas Sucari: or 3 dashboards about direct mail. And then, yeah, 2 from all orders with different information. So yeah, we need to
241 00:21:01.810 ⇒ 00:21:05.289 Nicolas Sucari: try figure out how to organize it a little bit better.
242 00:21:07.470 ⇒ 00:21:08.632 suraj: Yeah, I think.
243 00:21:10.814 ⇒ 00:21:18.919 suraj: I think the reason behind for this to have by days. It’s not ideal way to add more dimensions because of the 2
244 00:21:19.790 ⇒ 00:21:21.940 suraj: type of metrics.
245 00:21:23.980 ⇒ 00:21:27.650 suraj: I think there is no relation between marketing and inventory shipping. Right? That’s the.
246 00:21:27.650 ⇒ 00:21:35.970 Nicolas Sucari: But even though, can we try, even though there is no relation, I agree with that. It’s it’s okay. Can we try like creating a a copy of this dashboard.
247 00:21:36.180 ⇒ 00:21:36.620 suraj: And I.
248 00:21:36.620 ⇒ 00:21:43.990 Nicolas Sucari: Add some dimensions for each of them, and see what happens. Can we try that like just to to see if that
249 00:21:44.150 ⇒ 00:21:45.659 Nicolas Sucari: new dashboard, with more diamond.
250 00:21:45.660 ⇒ 00:21:46.799 suraj: Sure if you
251 00:21:47.640 ⇒ 00:21:53.967 suraj: yeah, if you want to try, I think we can have only 2 dimensions, one saying like, selling platform.
252 00:21:54.697 ⇒ 00:21:59.700 suraj: I think that is yeah, and also one by warehouse. What do you think.
253 00:22:00.040 ⇒ 00:22:05.079 Nicolas Sucari: Yeah, perfect. I mean, if we do that, I think for just to test it out, I think it’s gonna be okay. Yeah.
254 00:22:07.250 ⇒ 00:22:09.049 suraj: What do you think, Ryan? Like?
255 00:22:09.710 ⇒ 00:22:10.090 Ryan Luke Daque: Yeah.
256 00:22:10.090 ⇒ 00:22:11.330 suraj: Adding those.
257 00:22:11.620 ⇒ 00:22:14.332 suraj: adding those, and then,
258 00:22:15.170 ⇒ 00:22:22.170 suraj: 2 ways, one, we can duplicate the marketing metrics by those dimensions, or else, as you said, one
259 00:22:22.650 ⇒ 00:22:26.340 suraj: having zeros for all the dimensions and make one.
260 00:22:26.370 ⇒ 00:22:33.600 suraj: But that is also like we cannot say like that. That’s an incorrect data, right? Still showing zeros for 3 way roses and showing like
261 00:22:34.030 ⇒ 00:22:38.008 suraj: let’s say, impressions or clicks for one way, rose
262 00:22:38.750 ⇒ 00:22:52.099 suraj: doesn’t make sense. Right? So I’m I’m thinking it’s duplicating, or these are the only 2 ways because we did in the past. In in one of my experience, like mark combining marketing metrics with these stuff they usually
263 00:22:53.659 ⇒ 00:22:54.569 suraj: didn’t
264 00:22:55.320 ⇒ 00:23:10.079 suraj: duplication. And in the sequel, and in the dashboard, in like, I worked on tableau and powerball dashboards in there, we we did like a distinctive for them, like a min or Max where they can. See one number for all these dimensions. Basically.
265 00:23:10.848 ⇒ 00:23:23.030 suraj: Yeah, we we actually, we are all to explore, explore this real where we, as you, Nicholas said. If you select these dimensions only, these measures should pop up kind of thing
266 00:23:23.170 ⇒ 00:23:25.579 suraj: we have to check with that also.
267 00:23:25.950 ⇒ 00:23:32.680 Nicolas Sucari: I don’t. I don’t think that’s that’s a feature in rail yet, but maybe it’s somewhere in the documentation we need to check.
268 00:23:32.760 ⇒ 00:23:41.709 Nicolas Sucari: But if not, just let’s start 2 dimensions and see how how that works. And if we then talked with Kim and
269 00:23:41.780 ⇒ 00:23:55.820 Nicolas Sucari: and she said, like, Okay, but I’m clicking here, and I’m seeing 0. We can explain to her that there is no relation between those dimensions and some metrics, and maybe we can. Maybe it’s like the argument that help us like split this dashboard into different ones.
270 00:23:55.820 ⇒ 00:24:03.409 suraj: Exactly. I think that should be the idea. Well, even though, if we add it for her request, it will be too much confusing for them, and it may.
271 00:24:03.410 ⇒ 00:24:04.750 Nicolas Sucari: Yeah, exactly.
272 00:24:06.380 ⇒ 00:24:14.306 suraj: yeah, okay, so we we, our, I think 1st priority is to clean up. I will. I will see again. I’ll go through all the dashboards and see
273 00:24:14.990 ⇒ 00:24:16.020 suraj: oh.
274 00:24:16.450 ⇒ 00:24:22.119 suraj: if it, if anything, is duplicating, or is it okay to have these many dashboards kind of thing, and.
275 00:24:22.120 ⇒ 00:24:22.510 Nicolas Sucari: Okay.
276 00:24:22.510 ⇒ 00:24:28.163 suraj: Yeah, we’ll go from there. And also today, we last check about the highest
277 00:24:28.710 ⇒ 00:24:32.799 suraj: useful dashboards and the least one the most, and the East.
278 00:24:33.100 ⇒ 00:24:35.839 suraj: and we’ll do the same thing for marketing.
279 00:24:36.610 ⇒ 00:24:37.710 Nicolas Sucari: Perfect. Yeah.
280 00:24:38.100 ⇒ 00:24:38.810 Nicolas Sucari: and I think.
281 00:24:38.810 ⇒ 00:24:49.629 suraj: Are these other than these 2? Because I don’t know behind the scenes from client side so are are there any other users Nicholas other than Chuck and Kim.
282 00:24:50.010 ⇒ 00:25:00.709 Nicolas Sucari: Yeah, I mean, the the other users are Ben and Dan, that are the the like on on more on the business decisions, making side.
283 00:25:01.030 ⇒ 00:25:02.060 suraj: Okay.
284 00:25:02.400 ⇒ 00:25:17.505 Nicolas Sucari: And like they are in charge of everything. But I don’t know if they are like actively using the dashboards we we can ask them to. If what they need like, they they sometimes like, ask ask us some questions that we use real to answer
285 00:25:17.820 ⇒ 00:25:18.510 suraj: I’m going. Okay.
286 00:25:18.510 ⇒ 00:25:24.520 Nicolas Sucari: Like if we. That’s why I’m talking. I’m always talking about like that those 3 different projects marketing
287 00:25:24.610 ⇒ 00:25:34.669 Nicolas Sucari: kind of operations or shipping. And then all of the business side, with more kind of does those sales, reports, returns, refunds, warranties, and all of that.
288 00:25:34.670 ⇒ 00:25:36.330 suraj: Yeah, yeah, yeah, true.
289 00:25:37.444 ⇒ 00:25:43.279 suraj: Yeah. Got it? Got it? And yeah, these are the 4 to 5 users we have, I think.
290 00:25:43.740 ⇒ 00:25:56.300 Nicolas Sucari: Yeah, yeah, not not more than that. So yeah, I think we should be able to clean this up a little bit and talk with each of them and understand what they need to to see here. And yeah, and try to get what they need.
291 00:25:57.350 ⇒ 00:26:08.040 suraj: Okay? So I think, based on yesterday’s discussion for warehouse comparison. We already have tables or models, everything together already in place for this dashboard. Right?
292 00:26:11.540 ⇒ 00:26:13.180 suraj: Burrows compared each other.
293 00:26:14.840 ⇒ 00:26:15.890 suraj: Yeah.
294 00:26:15.940 ⇒ 00:26:17.219 suraj: yeah, okay.
295 00:26:18.450 ⇒ 00:26:20.180 suraj: alright. And
296 00:26:20.500 ⇒ 00:26:23.629 suraj: do you want to discuss about this part also?
297 00:26:26.345 ⇒ 00:26:27.709 Nicolas Sucari: Which one sorry.
298 00:26:27.710 ⇒ 00:26:29.110 suraj: Review, Review, Metrics.
299 00:26:29.110 ⇒ 00:26:37.379 Nicolas Sucari: Yeah. And this is we’ve been talking with Ryan about this for the past week. I think
300 00:26:37.430 ⇒ 00:26:41.379 Nicolas Sucari: I I don’t know if we’re if we can get like the revenue
301 00:26:41.440 ⇒ 00:26:51.409 Nicolas Sucari: on each of the platforms. But, if we can’t get the the revenue, we need to understand like, how can we
302 00:26:51.450 ⇒ 00:26:59.245 Nicolas Sucari: show in the paid marketing performance? Yeah, how like the, how was like the performance of each of the campaigns? Right? We need like,
303 00:26:59.990 ⇒ 00:27:03.130 Nicolas Sucari: see if we can get that measure.
304 00:27:05.750 ⇒ 00:27:10.489 Ryan Luke Daque: Yeah, I unfortunately haven’t like started looking into this again yet this week. But.
305 00:27:10.490 ⇒ 00:27:10.880 suraj: Okay.
306 00:27:10.880 ⇒ 00:27:13.229 Ryan Luke Daque: Us from from the last time I
307 00:27:14.390 ⇒ 00:27:16.310 Ryan Luke Daque: and created this it.
308 00:27:16.590 ⇒ 00:27:18.740 Ryan Luke Daque: since this dashboard is like
309 00:27:18.760 ⇒ 00:27:21.659 Ryan Luke Daque: broken down to add level.
310 00:27:21.680 ⇒ 00:27:23.759 Ryan Luke Daque: which is the most granular level.
311 00:27:23.890 ⇒ 00:27:28.530 Ryan Luke Daque: And I think currently, I mean, like, based on what I
312 00:27:28.650 ⇒ 00:27:30.200 Ryan Luke Daque: saw last time.
313 00:27:30.210 ⇒ 00:27:34.220 Ryan Luke Daque: the revenue for Facebook ads and Google ads were only
314 00:27:35.463 ⇒ 00:27:36.370 Ryan Luke Daque: campaign level.
315 00:27:36.790 ⇒ 00:27:43.968 Ryan Luke Daque: So it wouldn’t be difficult to like. Put it here, because, like, yeah, it would duplicate and stuff like that, because,
316 00:27:44.440 ⇒ 00:27:50.480 Ryan Luke Daque: we don’t have granularity up to the ad level. And maybe that’s something that we need to look into.
317 00:27:50.710 ⇒ 00:27:52.439 Ryan Luke Daque: whether in the
318 00:27:52.480 ⇒ 00:27:55.140 Ryan Luke Daque: source tables or the raw data
319 00:27:55.630 ⇒ 00:28:01.300 Ryan Luke Daque: to see if we can get the revenue on an ad level for both Facebook and Google ads
320 00:28:01.710 ⇒ 00:28:04.300 Ryan Luke Daque: and for the other one, I think direct
321 00:28:04.520 ⇒ 00:28:05.720 Ryan Luke Daque: mail. Was it?
322 00:28:10.050 ⇒ 00:28:10.790 suraj: This.
323 00:28:12.340 ⇒ 00:28:13.030 Ryan Luke Daque: It does. Yeah.
324 00:28:13.030 ⇒ 00:28:14.869 suraj: This does have revenue right?
325 00:28:14.870 ⇒ 00:28:17.139 Ryan Luke Daque: Looks like it has revenue right?
326 00:28:17.140 ⇒ 00:28:18.370 suraj: These 3.
327 00:28:19.200 ⇒ 00:28:23.470 Ryan Luke Daque: Yeah. So it’s via Amazon. I guess we’ll have to look as well.
328 00:28:24.500 ⇒ 00:28:27.999 Ryan Luke Daque: Yeah, I think that’s the only thing that’s missing. Right?
329 00:28:28.750 ⇒ 00:28:29.220 Nicolas Sucari: Yes.
330 00:28:30.480 ⇒ 00:28:31.830 Ryan Luke Daque: Just revenue. Well.
331 00:28:31.840 ⇒ 00:28:35.879 Ryan Luke Daque: Roas would be related to revenue as well. So like return on.
332 00:28:35.880 ⇒ 00:28:39.489 Nicolas Sucari: All of all of the all of the measures that are related to revenue
333 00:28:39.875 ⇒ 00:28:50.760 Nicolas Sucari: are messed up because we don’t have for those 3 platforms. So we we can check cost, maybe. But we can check revenue. Yeah. So if we cannot
334 00:28:51.140 ⇒ 00:28:52.020 Nicolas Sucari: revenue.
335 00:28:52.300 ⇒ 00:29:01.830 Nicolas Sucari: Yeah, I don’t know if customer lifetime value that we added last week. If that is related to revenue, too. I don’t remember right now.
336 00:29:03.150 ⇒ 00:29:09.219 suraj: According to Kim, do did she say that we have actually revenue from these 3 platforms?
337 00:29:09.420 ⇒ 00:29:10.380 suraj: Nicholas.
338 00:29:10.740 ⇒ 00:29:22.559 Nicolas Sucari: No, no, I don’t know. I I’m not sure about that. But we we should go and see we. We should like see how the data is coming raw from those 3 and see if we can get the revenue.
339 00:29:22.650 ⇒ 00:29:39.409 Nicolas Sucari: But we should be, I mean, if we don’t, if we’re not able to get the revenue. Okay, we will let let her know, and that’s fine. But if if we, if we are getting the raw revenue like in the raw data from those 3, and we can get the revenue we should be able to match
340 00:29:39.700 ⇒ 00:29:41.679 Nicolas Sucari: to match it. Ham somehow.
341 00:29:41.730 ⇒ 00:29:43.560 Nicolas Sucari: through the campaigns, right.
342 00:29:45.750 ⇒ 00:29:46.620 suraj: Yeah.
343 00:29:48.680 ⇒ 00:29:49.900 suraj: got it.
344 00:29:50.070 ⇒ 00:29:56.139 suraj: So if we have, if we cannot get the data for these 3 the other way is just to
345 00:29:56.360 ⇒ 00:30:05.749 suraj: have this all these metrics only pop up for these 1st 3 platforms because we don’t have revenue. It’s not ideal way to show. So we will have to
346 00:30:06.174 ⇒ 00:30:18.179 suraj: say, either rename these metrics saying, we have, these are the metrics only for these platforms, or else something like that, because it’s incorrect data still, right?
347 00:30:18.678 ⇒ 00:30:20.590 suraj: To have it. So
348 00:30:22.860 ⇒ 00:30:29.250 suraj: we have cost here. But we have. We don’t have revenue, and these calculations are messing up so.
349 00:30:31.090 ⇒ 00:30:40.389 Nicolas Sucari: And and if you go to cost, can you can you change? Well, not not the measure, but change where it says all dimensions there. Yeah. Change to
350 00:30:41.280 ⇒ 00:30:42.600 Nicolas Sucari: maybe cost.
351 00:30:42.800 ⇒ 00:30:47.950 suraj: Yeah, we we that’s a yeah. We have the cost high cost. See? Like 1, 66 k, but we don’t.
352 00:30:47.950 ⇒ 00:30:52.990 Nicolas Sucari: And can you, yeah, clean clean the platform and let me check something real quick.
353 00:30:55.170 ⇒ 00:30:59.150 Nicolas Sucari: Yeah. So we have, okay, we have cost for everything, and it’s per ad.
354 00:30:59.510 ⇒ 00:31:01.770 Nicolas Sucari: And Brad said, right, so that this is.
355 00:31:01.770 ⇒ 00:31:02.639 suraj: Yeah, okay.
356 00:31:02.640 ⇒ 00:31:03.320 Nicolas Sucari: Perfect.
357 00:31:03.480 ⇒ 00:31:04.860 suraj: Cost is good.
358 00:31:05.940 ⇒ 00:31:10.010 Nicolas Sucari: And if if you go to conversions or impressions, yeah, we, I think we have.
359 00:31:10.460 ⇒ 00:31:12.099 Nicolas Sucari: Okay, yeah, that’s okay.
360 00:31:15.700 ⇒ 00:31:19.739 Nicolas Sucari: Okay. Yeah, we need to review, like all of these ones. So that
361 00:31:20.170 ⇒ 00:31:25.250 Nicolas Sucari: we have the correct information. Yeah, we don’t have the Cpa because it’s conversions.
362 00:31:28.410 ⇒ 00:31:33.460 Nicolas Sucari: No, we don’t have Cpa, because we don’t have the Facebook. And
363 00:31:35.030 ⇒ 00:31:38.709 Nicolas Sucari: oh, no. Amazon. Amazon is missing here. Okay? And direct mail.
364 00:31:39.890 ⇒ 00:31:46.580 Nicolas Sucari: Yeah, that’s that’s this, the things we need to check like, why we are not including Amazon and direct mail in the
365 00:31:46.650 ⇒ 00:31:55.630 Nicolas Sucari: Tpa. Yeah, we need to go by each measure and see what we are not including, and see if we can get them. We we can get the data to include it.
366 00:31:56.270 ⇒ 00:31:57.000 suraj: Yeah.
367 00:31:57.130 ⇒ 00:31:57.850 Nicolas Sucari: Right?
368 00:31:59.040 ⇒ 00:32:04.690 Nicolas Sucari: Yeah, that that’s like the that’s the task for for this one like review each of the metrics and see
369 00:32:05.080 ⇒ 00:32:10.769 Nicolas Sucari: what we are missing, because, if not like the the measures are not reflecting the actual.
370 00:32:11.240 ⇒ 00:32:13.360 Nicolas Sucari: the the actual data, right.
371 00:32:14.530 ⇒ 00:32:15.669 suraj: Exactly so.
372 00:32:16.820 ⇒ 00:32:17.860 suraj: so
373 00:32:18.050 ⇒ 00:32:22.759 suraj: revenue is the key here. So yeah, let’s check that plan.
374 00:32:25.100 ⇒ 00:32:26.000 Nicolas Sucari: Perfect.
375 00:32:27.208 ⇒ 00:32:30.389 Nicolas Sucari: Okay, guys, I don’t know if there is something else.
376 00:32:32.040 ⇒ 00:32:34.139 suraj: Yeah, that’s it, for now I think
377 00:32:34.430 ⇒ 00:32:46.779 suraj: so. We’ll I I will also check on organizing these things in in real first, st I’ll explore online and see to have folder project for each of these departments.
378 00:32:46.990 ⇒ 00:32:48.249 suraj: We can go from there.
379 00:32:48.980 ⇒ 00:33:02.060 Nicolas Sucari: Yes, Raj, if you want, I can create an ocean page where we can start like tracking, or you can start like working on a draft on how you would like to organize it. And we can yeah, just discuss it and have it like.
380 00:33:02.220 ⇒ 00:33:08.510 Nicolas Sucari: placed it there and then. Validate, we do time and see if we can start working on that one. Okay.
381 00:33:08.510 ⇒ 00:33:09.940 suraj: Sure sure, Nicholas.
382 00:33:10.090 ⇒ 00:33:10.920 suraj: I.
383 00:33:10.920 ⇒ 00:33:16.300 Nicolas Sucari: We’ll create a a notion page and send you the link so that you can like add information there. Okay.
384 00:33:16.300 ⇒ 00:33:18.340 suraj: Okay. Yeah. Sounds good.
385 00:33:18.860 ⇒ 00:33:19.580 Nicolas Sucari: Perfect.
386 00:33:19.890 ⇒ 00:33:22.630 Nicolas Sucari: Okay? Well, thanks, guys, let’s talk
387 00:33:23.010 ⇒ 00:33:23.610 Nicolas Sucari: later today.
388 00:33:24.024 ⇒ 00:33:25.269 suraj: Yeah, bye, guys.
389 00:33:25.270 ⇒ 00:33:25.840 Ryan Luke Daque: Thanks.
390 00:33:25.940 ⇒ 00:33:26.790 Ryan Luke Daque: thanks.
391 00:33:27.540 ⇒ 00:33:28.290 Nicolas Sucari: Bye, bye.
392 00:33:28.550 ⇒ 00:33:29.430 suraj: Mike, Mike.