Meeting Title: Data platform planning sprint Date: 2025-05-27 Meeting participants: Annie Yu, Awaish Kumar, Ryan Luke Daque
WEBVTT
1 00:04:44.590 ⇒ 00:04:45.430 Awaish Kumar: Hello!
2 00:04:45.790 ⇒ 00:04:46.650 Awaish Kumar: Proof.
3 00:04:54.060 ⇒ 00:04:55.150 Awaish Kumar: are you there?
4 00:04:59.044 ⇒ 00:05:01.589 Awaish Kumar: I can’t hear you with a.
5 00:05:06.780 ⇒ 00:05:07.850 Ryan Luke Daque: How’s it going.
6 00:05:09.830 ⇒ 00:05:11.700 Awaish Kumar: Your voice is very slow.
7 00:05:14.180 ⇒ 00:05:15.980 Ryan Luke Daque: How about that? Can you hear me now?
8 00:05:15.980 ⇒ 00:05:17.320 Awaish Kumar: No, it’s okay.
9 00:05:18.540 ⇒ 00:05:19.220 Ryan Luke Daque: Cool.
10 00:05:19.900 ⇒ 00:05:22.139 Awaish Kumar: Yeah, I think it’s going to Yup.
11 00:05:26.040 ⇒ 00:05:28.830 Awaish Kumar: How have been your weekend.
12 00:05:33.830 ⇒ 00:05:34.760 Ryan Luke Daque: What was that?
13 00:05:36.190 ⇒ 00:05:38.060 Awaish Kumar: I said, how have been your weekend.
14 00:05:38.780 ⇒ 00:05:42.269 Ryan Luke Daque: It was fine. Yeah, it was a pretty chill weekend.
15 00:05:44.060 ⇒ 00:05:44.790 Awaish Kumar: Okay.
16 00:05:46.620 ⇒ 00:05:48.280 Awaish Kumar: Hello, Annie. How about you?
17 00:05:49.820 ⇒ 00:05:57.647 Annie Yu: Good. We had a long weekend here in the Us. So it was great to have another day off.
18 00:06:00.270 ⇒ 00:06:02.730 Awaish Kumar: Okay? And have you done anything
19 00:06:03.070 ⇒ 00:06:06.119 Awaish Kumar: special or just chilling at home?
20 00:06:06.980 ⇒ 00:06:11.190 Annie Yu: Yeah, doing errands and cleaning up the house.
21 00:06:11.640 ⇒ 00:06:18.989 Annie Yu: Really nothing special. It was one of those weekends where you can do nothing, and it was great.
22 00:06:21.060 ⇒ 00:06:23.590 Awaish Kumar: Yeah. Just watching Netflix at home.
23 00:06:25.480 ⇒ 00:06:27.819 Annie Yu: Yeah, pretty much.
24 00:06:29.480 ⇒ 00:06:31.610 Annie Yu: How about you wish? How was your weekend.
25 00:06:32.790 ⇒ 00:06:38.489 Awaish Kumar: Yeah, it was even good. I I was also mostly at home.
26 00:06:39.060 ⇒ 00:06:45.689 Awaish Kumar: And it’s because it’s so. It was a so hot here. I I didn’t want it to go out.
27 00:06:48.340 ⇒ 00:06:56.070 Awaish Kumar: So yeah, mostly spending my time with family and my wife and my daughter.
28 00:06:57.290 ⇒ 00:06:59.610 Annie Yu: Oh, you have a daughter! How old is she?
29 00:07:01.070 ⇒ 00:07:02.839 Awaish Kumar: She’s like 3 years old.
30 00:07:02.840 ⇒ 00:07:07.360 Annie Yu: Wow, that’s amazing.
31 00:07:10.817 ⇒ 00:07:22.490 Awaish Kumar: Okay, let’s get into the tickets and see how I don’t see like.
32 00:07:23.100 ⇒ 00:07:30.390 Awaish Kumar: In the last week we have done much of the progress on the data platform side.
33 00:07:30.960 ⇒ 00:07:33.630 Awaish Kumar: Things have been quite stuck. I don’t know.
34 00:07:39.480 ⇒ 00:07:40.230 Awaish Kumar: Good.
35 00:07:46.160 ⇒ 00:07:47.250 Awaish Kumar: Okay, huh?
36 00:07:49.490 ⇒ 00:07:52.150 Awaish Kumar: Soon we can find out this.
37 00:07:53.240 ⇒ 00:07:57.410 Awaish Kumar: Have you started anything on this? Luke.
38 00:08:03.928 ⇒ 00:08:05.970 Ryan Luke Daque: No, not yet. I think.
39 00:08:06.930 ⇒ 00:08:10.493 Ryan Luke Daque: from what I understand, we’re supposed to like, discuss about this right?
40 00:08:11.060 ⇒ 00:08:14.679 Ryan Luke Daque: as a team like what would be the best approach to.
41 00:08:15.250 ⇒ 00:08:16.349 Awaish Kumar: Yeah, like, I wanted.
42 00:08:16.350 ⇒ 00:08:17.710 Ryan Luke Daque: For this one. But yeah.
43 00:08:17.710 ⇒ 00:08:26.010 Awaish Kumar: Something I wanted, that you have something which will be a starting point for our conversation, like maybe just
44 00:08:27.080 ⇒ 00:08:32.909 Awaish Kumar: created a could have created a template like we, we only look at model march data.
45 00:08:33.480 ⇒ 00:08:35.869 Awaish Kumar: And we, we should be sending alerts
46 00:08:37.419 ⇒ 00:08:46.809 Awaish Kumar: by default. We say, like, maybe if there’s a difference of 10%, more than 10%, we should send an alert by default. But as
47 00:08:47.170 ⇒ 00:08:56.579 Awaish Kumar: as the time goes by and we learn more about the client, and we learn more about the client data. We say, we understand, we can change those thresholds.
48 00:08:57.990 ⇒ 00:08:58.590 Ryan Luke Daque: Start with the.
49 00:08:58.590 ⇒ 00:09:08.160 Awaish Kumar: And then we know, okay, okay, like for this table. Man, this data is so urgent that only 1% of change can be baked
50 00:09:08.560 ⇒ 00:09:13.640 Awaish Kumar: like can be a big big impact. Then we can just
51 00:09:13.850 ⇒ 00:09:30.749 Awaish Kumar: like set the threshold that way right? So as as the time goes by, and we understand more about those critical things about the clients data, and where the clients are more interested, we just tweak our thresholds. And
52 00:09:31.430 ⇒ 00:09:32.850 Awaish Kumar: that way, right?
53 00:09:32.980 ⇒ 00:09:39.170 Awaish Kumar: So I just wanted that we have. It’s not like it’s it’s not like, yeah, okay, there will be a
54 00:09:40.050 ⇒ 00:09:47.730 Awaish Kumar: 10% threshold 10% change threshold for every client, or something like that. It’s it will be a
55 00:09:48.000 ⇒ 00:09:51.390 Awaish Kumar: kind of we have to look at every aspect of
56 00:09:52.870 ⇒ 00:10:01.470 Awaish Kumar: of a project like, when a project starts, we don’t know anything about data. We are still learning about the data. We cannot say
57 00:10:02.280 ⇒ 00:10:10.270 Awaish Kumar: like from the day one. Then, okay, this should be the threshold we we start by with the default. We maybe
58 00:10:10.470 ⇒ 00:10:17.710 Awaish Kumar: Google, maybe ask AI and maybe try to get something which like
59 00:10:18.230 ⇒ 00:10:27.560 Awaish Kumar: could be a default in in generally, which which people might be using, or already have implemented, something like that in their organization.
60 00:10:27.820 ⇒ 00:10:33.030 Awaish Kumar: So it just set the default and set the. And then we say, Okay.
61 00:10:33.490 ⇒ 00:10:42.549 Awaish Kumar: we how? And then the process of how we we will be changing that. So it is just a it’s just a process document
62 00:10:42.950 ⇒ 00:10:45.750 Awaish Kumar: that we will start with this default, and then
63 00:10:45.930 ⇒ 00:10:55.510 Awaish Kumar: how we are going to update that default value. It will be based on the learnings, incidents, and the
64 00:10:55.960 ⇒ 00:11:00.870 Awaish Kumar: knowledge about the clients, data feedback from client things like that.
65 00:11:03.040 ⇒ 00:11:05.979 Ryan Luke Daque: Yep. Sounds good. Yeah, I’ll I’ll work on that one.
66 00:11:05.980 ⇒ 00:11:14.259 Awaish Kumar: Same for that process for resolving issues. It’s not like you have to name every person. We just say that
67 00:11:14.380 ⇒ 00:11:19.680 Awaish Kumar: if there issue any alert, comes into a slack channel for a client.
68 00:11:19.950 ⇒ 00:11:22.149 Awaish Kumar: How we are going to solve it. Okay, like
69 00:11:23.038 ⇒ 00:11:33.870 Awaish Kumar: maybe. Like, as you suggested, we, we have one person who is going to look at all these alerts in that week, or we can have another method. But whatever it is
70 00:11:34.480 ⇒ 00:11:47.610 Awaish Kumar: you can just write down. Okay, like, I have found these 2 ways of doing it. And then we then the team can share. Okay, like, look option, one is better or option. 2 is better option. 3 is better.
71 00:11:51.520 ⇒ 00:11:52.430 Awaish Kumar: So
72 00:11:54.660 ⇒ 00:12:04.739 Awaish Kumar: so process for resolving issues like either like not everybody has the access, and we cannot do that right the way you suggested.
73 00:12:05.100 ⇒ 00:12:08.969 Awaish Kumar: It could be a good idea, you know, between the groups of Aes.
74 00:12:09.610 ⇒ 00:12:18.179 Awaish Kumar: but we cannot give the access of our client warehouses and the databases to everyone in the team. Right
75 00:12:19.450 ⇒ 00:12:23.849 Awaish Kumar: right now we have. We are only few aes, but
76 00:12:24.190 ⇒ 00:12:35.740 Awaish Kumar: think about like, if we have a 5, th 20 people, so we cannot assign and give access to aiden bigquery to all the people who don’t have like anything to do with that client.
77 00:12:36.030 ⇒ 00:12:42.100 Awaish Kumar: So, and my client won’t be happy about that as well. So we don’t want to.
78 00:12:42.610 ⇒ 00:12:44.339 Awaish Kumar: So we can’t go that way.
79 00:12:46.520 ⇒ 00:13:00.820 Awaish Kumar: maybe we have a group of Aes which are basically relevant, like the the client is which are basically assigned to that client somehow, right? Either as a ae, either as a analyst or as a
80 00:13:01.690 ⇒ 00:13:11.770 Awaish Kumar: technical lead, or whatever, like anyone who is assigned to that client or like, maybe we have 3 A’s who are basically working on 3 clients.
81 00:13:12.545 ⇒ 00:13:18.070 Awaish Kumar: And so we can have those 3 clients as a those 3 A’s as a group
82 00:13:18.410 ⇒ 00:13:25.719 Awaish Kumar: for those clients. Alerts so that way, and then we will have a separate slack channel for that group.
83 00:13:26.840 ⇒ 00:13:28.120 Awaish Kumar: So like
84 00:13:28.550 ⇒ 00:13:34.779 Awaish Kumar: even Javi, I don’t have Javi anymore. But even PP. 2 g. Or and metal mode, for example.
85 00:13:35.620 ⇒ 00:13:38.439 Awaish Kumar: if they belong to some category of
86 00:13:39.050 ⇒ 00:13:46.620 Awaish Kumar: people who are working on it, so we can say, like Luke, is primary, a. On Eden, and avish is primary. A. On
87 00:13:46.870 ⇒ 00:13:52.300 Awaish Kumar: of PP. 2 g. And then Luke is secondary on Indian, and I’m secondary on that one
88 00:13:52.420 ⇒ 00:13:53.880 Awaish Kumar: just to cross
89 00:13:54.850 ⇒ 00:14:02.040 Awaish Kumar: something like that when we have set up like that. We might have a group of A’s which can basically work on 2, 3, 4 clients.
90 00:14:02.240 ⇒ 00:14:07.549 Awaish Kumar: and then we can assign them as a as a tick, like
91 00:14:08.240 ⇒ 00:14:25.489 Awaish Kumar: as someone who can, and we can assign between them, like weekly rotations between them, to look for incidents for these clients, or if this is like one of one is, can this can be one of strategy? Another one could be like. Only the people who are assigned to the client
92 00:14:26.569 ⇒ 00:14:32.980 Awaish Kumar: good are going to look at them on a rotation basis, because.
93 00:14:33.310 ⇒ 00:14:37.020 Awaish Kumar: like every mostly, every client has 2 aes.
94 00:14:37.390 ⇒ 00:14:39.810 Awaish Kumar: one is primary, other one is scheduling it.
95 00:14:40.120 ⇒ 00:14:50.200 Awaish Kumar: And so between the these 2, it will be like will be not ready. So it can be anything by client or by a group of client or
96 00:14:53.700 ⇒ 00:14:55.120 Awaish Kumar: yeah, something like that.
97 00:14:56.400 ⇒ 00:15:10.700 Awaish Kumar: Or or if you have any other idea, you can just put it there. Same for urgent request from client. So this is like to put can be a like process for resolving issues. So, for example, we got 3 alerts for some
98 00:15:10.890 ⇒ 00:15:15.539 Awaish Kumar: data issues for a client. But one of the issue is
99 00:15:16.250 ⇒ 00:15:27.120 Awaish Kumar: something which client has raised also, so that gets priority. And we work on that. So the primary owner is going to come in and work on that, so we cannot.
100 00:15:27.390 ⇒ 00:15:30.100 Awaish Kumar: so so so that it can be resolved quickly.
101 00:15:30.220 ⇒ 00:15:32.739 Awaish Kumar: So things like that, just to write down the
102 00:15:33.530 ⇒ 00:15:38.849 Awaish Kumar: it will be like what what you say, like, you know, Bible of resolving issues. We’ll follow it.
103 00:15:39.490 ⇒ 00:15:42.639 Awaish Kumar: Follow this process to resolve data quality issues.
104 00:15:47.560 ⇒ 00:15:48.970 Ryan Luke Daque: Yep. Sounds good.
105 00:15:50.220 ⇒ 00:15:56.570 Awaish Kumar: And then I think, like I I like it is past the due date.
106 00:15:57.080 ⇒ 00:16:01.509 Awaish Kumar: And I I would like that. We have something by tomorrow.
107 00:16:03.660 ⇒ 00:16:04.540 Ryan Luke Daque: Sounds good.
108 00:16:12.430 ⇒ 00:16:16.000 Awaish Kumar: This one. I’m going to reassign. The no, this one is.
109 00:16:16.250 ⇒ 00:16:22.310 Awaish Kumar: and Kyle is already on it. Urbanist any
110 00:16:23.610 ⇒ 00:16:26.759 Awaish Kumar: for Meta plan for August. Have you started?
111 00:16:27.970 ⇒ 00:16:28.540 Awaish Kumar: Let’s see.
112 00:16:28.540 ⇒ 00:16:44.840 Annie Yu: Yeah, this one. I haven’t started didn’t get a chance last week. Do something this week, but also I know that right look away. You’re trying to do like a workshop, too. So if that.
113 00:16:45.190 ⇒ 00:16:53.889 Awaish Kumar: Yeah, like I. And you don’t wait for workshops it might not like for the workshop. We have to prepare the
114 00:16:54.610 ⇒ 00:16:57.450 Awaish Kumar: a proper kind of something to present.
115 00:16:57.660 ⇒ 00:16:58.420 Awaish Kumar: Okay and
116 00:16:59.060 ⇒ 00:17:05.610 Awaish Kumar: And for I think for this team, we we can just call like each other.
117 00:17:05.970 ⇒ 00:17:08.930 Awaish Kumar: Look to Luke and to me or anyone you can.
118 00:17:09.640 ⇒ 00:17:12.330 Awaish Kumar: So we can just give you a kind of a
119 00:17:12.589 ⇒ 00:17:17.610 Awaish Kumar: overview of Meta plan what it is and how you basically go in and do that.
120 00:17:19.800 ⇒ 00:17:30.439 Annie Yu: Okay? And okay. Luke, do you think you’ll have a 30 min sometime today to Friday?
121 00:17:31.270 ⇒ 00:17:35.469 Ryan Luke Daque: Yeah, sure. Just let me know when you’re free. We can schedule a call.
122 00:17:36.283 ⇒ 00:17:40.539 Awaish Kumar: For for this 1st of all, for urban stems.
123 00:17:41.110 ⇒ 00:17:44.580 Awaish Kumar: You are not on this right, Luke. This client.
124 00:17:45.280 ⇒ 00:17:47.209 Ryan Luke Daque: I don’t think so. Yes.
125 00:17:47.760 ⇒ 00:17:52.672 Awaish Kumar: Yeah, Luke is not in on Skype, so you can. Just so we can.
126 00:17:53.670 ⇒ 00:17:55.960 Annie Yu: To work on this together.
127 00:17:56.510 ⇒ 00:18:00.630 Awaish Kumar: And Oscar, and it’s like any
128 00:18:00.840 ⇒ 00:18:03.600 Awaish Kumar: keys or anything required. I can ask the
129 00:18:04.100 ⇒ 00:18:10.506 Awaish Kumar: send it to us. Send it to us for Meta plane work.
130 00:18:11.820 ⇒ 00:18:17.919 Awaish Kumar: so we can pair on this one. But I would like it to be resolved by
131 00:18:22.280 ⇒ 00:18:28.620 Awaish Kumar: to like like I will suggest it like initialization.
132 00:18:35.120 ⇒ 00:18:38.059 Awaish Kumar: So it is just the connection setup for the
133 00:18:38.510 ⇒ 00:18:41.780 Awaish Kumar: all the warehouses DVD and the
134 00:18:47.445 ⇒ 00:18:51.729 Awaish Kumar: tableau, or whatever the Ndi tool they’re using.
135 00:18:52.000 ⇒ 00:18:53.130 Awaish Kumar: How are you?
136 00:18:53.910 ⇒ 00:18:59.459 Awaish Kumar: So that’s it. And we we can do it by tomorrow because it’s not that diff difficult.
137 00:18:59.690 ⇒ 00:19:05.478 Awaish Kumar: The other things, like the adding a test or something, might take time. And we can
138 00:19:08.380 ⇒ 00:19:10.700 Awaish Kumar: create a separate task for that. And.
139 00:19:11.860 ⇒ 00:19:13.090 Annie Yu: Okay. Sounds good.
140 00:19:21.090 ⇒ 00:19:22.849 Awaish Kumar: Sorry to you
141 00:19:33.670 ⇒ 00:19:41.910 Awaish Kumar: by end of this week. It’s not like you have read hundreds of tests. We will just ask
142 00:19:42.190 ⇒ 00:19:43.299 Awaish Kumar: our team.
143 00:19:43.690 ⇒ 00:19:45.040 Awaish Kumar: Ml, a day.
144 00:19:45.200 ⇒ 00:19:49.243 Awaish Kumar: I know, Tom to like what kind of
145 00:19:50.380 ⇒ 00:19:53.810 Awaish Kumar: test they would like to set up for this client.
146 00:19:53.970 ⇒ 00:19:58.580 Awaish Kumar: and if they they should, they will share us, share with us like some information
147 00:19:59.300 ⇒ 00:20:03.930 Awaish Kumar: like these are the critical data points. And I want to test that or with that.
148 00:20:04.080 ⇒ 00:20:06.839 Awaish Kumar: this and that. So we will have kind of
149 00:20:07.880 ⇒ 00:20:21.420 Awaish Kumar: list of some tests like 3, 4, 5, 10, whatever. So we will get from them that knowledge, what test needs to be added, and we will just add it to the Meta base. So how to add it
150 00:20:21.740 ⇒ 00:20:23.489 Awaish Kumar: again? It is like a
151 00:20:23.730 ⇒ 00:20:32.269 Awaish Kumar: going in, and in the Meta. 1st of all, if you go in, just just visualize it. You will understand, because it’s
152 00:20:32.400 ⇒ 00:20:38.539 Awaish Kumar: ui driven tool. So it’s not much like you have a code or do anything difficult
153 00:20:39.100 ⇒ 00:20:42.469 Awaish Kumar: is is just a ui driven code, as you do with tableau.
154 00:20:42.600 ⇒ 00:20:47.780 Awaish Kumar: You go in, add connection, you go in, add test, and maybe you have writers
155 00:20:47.970 ⇒ 00:20:54.340 Awaish Kumar: some simple queries there, but it’s still still. It is like kind of mostly ui driven cool.
156 00:20:54.340 ⇒ 00:20:55.060 Annie Yu: Okay.
157 00:20:55.950 ⇒ 00:20:56.620 Annie Yu: Okay.
158 00:21:03.577 ⇒ 00:21:06.699 Awaish Kumar: Google sheet for metamor. It is assigned to you.
159 00:21:07.630 ⇒ 00:21:08.485 Awaish Kumar: Look,
160 00:21:14.200 ⇒ 00:21:17.349 Awaish Kumar: So you already have something. Right? Let’s let’s
161 00:21:17.660 ⇒ 00:21:19.850 Awaish Kumar: finalize that we already have some.
162 00:21:21.308 ⇒ 00:21:26.450 Awaish Kumar: but it is like this columns. The columns are missing with the.
163 00:21:26.780 ⇒ 00:21:31.069 Ryan Luke Daque: Yeah, because there’s no data for matter more yet there’s no sources, nothing.
164 00:21:31.900 ⇒ 00:21:34.030 Awaish Kumar: Okay. So we don’t have anything.
165 00:21:34.460 ⇒ 00:21:35.040 Ryan Luke Daque: Yep.
166 00:21:35.040 ⇒ 00:21:37.890 Awaish Kumar: So we have a dbt like we have. Dbt right.
167 00:21:38.780 ⇒ 00:21:42.960 Ryan Luke Daque: Yep, just DVD, but nothing, no sources, just nothing.
168 00:21:43.080 ⇒ 00:21:48.700 Ryan Luke Daque: At the moment. We’re just waiting for the sources like even.
169 00:21:49.830 ⇒ 00:21:53.279 Awaish Kumar: We are not doing anything for them like no, no more.
170 00:21:53.280 ⇒ 00:22:00.059 Ryan Luke Daque: Just doing the synthetic data at the moment. So just testing out random data sets.
171 00:22:00.780 ⇒ 00:22:03.339 Ryan Luke Daque: So not really client data at the moment.
172 00:22:05.540 ⇒ 00:22:06.320 Awaish Kumar: Okay.
173 00:22:07.310 ⇒ 00:22:13.939 Awaish Kumar: So just okay, so it’s kind of a done then felt. So I I won’t move it to done, basically, because.
174 00:22:14.500 ⇒ 00:22:20.790 Ryan Luke Daque: Yeah, until we have data. Then we we can’t. Really, it cannot be.
175 00:22:20.790 ⇒ 00:22:21.440 Ryan Luke Daque: Yeah.
176 00:22:21.910 ⇒ 00:22:25.430 Awaish Kumar: Excuse me, I’ll put it in backlog.
177 00:22:25.710 ⇒ 00:22:28.790 Ryan Luke Daque: Yeah, that’s better. Maybe. Yeah, we let’s we can.
178 00:22:28.790 ⇒ 00:22:34.659 Awaish Kumar: Whenever we have something, then just bring it to in progress and start working.
179 00:22:35.110 ⇒ 00:22:35.660 Ryan Luke Daque: Yep.
180 00:22:36.220 ⇒ 00:22:37.270 Ryan Luke Daque: Sounds good.
181 00:22:40.650 ⇒ 00:22:45.569 Awaish Kumar: I was hidden. Docs, what is this?
182 00:22:46.960 ⇒ 00:22:49.669 Awaish Kumar: Okay, you are. You are only done with that, Annie.
183 00:22:53.645 ⇒ 00:23:07.019 Annie Yu: Yes, there are a couple of parts, the contract start and a cost. That I asked Robert to help out, but I’m I don’t think he’s
184 00:23:08.480 ⇒ 00:23:14.659 Annie Yu: fill that out, but there’s no other places that we can find. Those information.
185 00:23:14.660 ⇒ 00:23:18.099 Awaish Kumar: He’s off, and I I will just put it in review.
186 00:23:18.340 ⇒ 00:23:25.380 Awaish Kumar: So we we can. Just when he’s back we can again see how to
187 00:23:26.060 ⇒ 00:23:29.120 Awaish Kumar: how we can like, get that and maybe ask global.
188 00:23:29.250 ⇒ 00:23:31.359 Awaish Kumar: And then we have.
189 00:23:35.010 ⇒ 00:23:37.260 Awaish Kumar: So I want stems.
190 00:23:45.510 ⇒ 00:23:46.420 Awaish Kumar: Okay.
191 00:23:48.420 ⇒ 00:23:51.840 Awaish Kumar: So after that, we want to add a
192 00:23:54.040 ⇒ 00:24:00.950 Awaish Kumar: oh, like PP, 2 g. Or right now we have we good?
193 00:24:15.110 ⇒ 00:24:17.560 Awaish Kumar: Do we have something for it for them?
194 00:24:21.450 ⇒ 00:24:22.410 Awaish Kumar: Luke?
195 00:24:24.790 ⇒ 00:24:29.229 Ryan Luke Daque: So which one all parts, I think that’s the one that Kyle made right.
196 00:24:30.380 ⇒ 00:24:32.010 Ryan Luke Daque: Oh, you mean Meta plane.
197 00:24:32.510 ⇒ 00:24:33.690 Awaish Kumar: Yeah, yeah, meta play.
198 00:24:34.040 ⇒ 00:24:38.900 Ryan Luke Daque: Oh, for Meta plan. We don’t have one yet. But yeah, that’s one of the things that I need to do as well.
199 00:24:39.660 ⇒ 00:24:45.740 Awaish Kumar: So I have added you this ticket for PP. 2, 2 g. And then you have
200 00:24:46.130 ⇒ 00:24:49.580 Awaish Kumar: to finalize this process and ask the team for review.
201 00:24:50.120 ⇒ 00:24:53.540 Awaish Kumar: and then you have this script. 2 Gpu Meta plan set up.
202 00:24:53.800 ⇒ 00:24:58.249 Awaish Kumar: Come for urban stems, I and any can.
203 00:24:58.490 ⇒ 00:25:03.960 Awaish Kumar: So any like. It’s kind of A. You will be driving this, and
204 00:25:05.370 ⇒ 00:25:07.659 Awaish Kumar: I will be there whenever you
205 00:25:07.800 ⇒ 00:25:10.330 Awaish Kumar: you. You would like me to be there.
206 00:25:14.070 ⇒ 00:25:15.080 Awaish Kumar: Okay.
207 00:25:15.840 ⇒ 00:25:22.740 Annie Yu: Yeah. And I I think I will grab a 30 min with you tomorrow. If that’s okay.
208 00:25:23.810 ⇒ 00:25:25.780 Awaish Kumar: Yeah, that’s completely, okay.
209 00:25:25.780 ⇒ 00:25:26.160 Annie Yu: Okay.
210 00:25:26.160 ⇒ 00:25:28.249 Awaish Kumar: Just yeah, let me know.
211 00:25:30.470 ⇒ 00:25:33.310 Awaish Kumar: And we have a tense.
212 00:25:35.570 ⇒ 00:25:44.940 Awaish Kumar: I’m gonna stamps hidden metamor. We don’t have anything for matter more right now right.
213 00:25:45.150 ⇒ 00:25:48.549 Awaish Kumar: Do you have anything to to add? Test for Metamo?
214 00:25:48.550 ⇒ 00:25:51.260 Ryan Luke Daque: No, we don’t even have sources yet.
215 00:25:52.260 ⇒ 00:25:54.399 Awaish Kumar: Yeah. So like, there’s kind of no data.
216 00:25:59.580 ⇒ 00:26:05.310 Awaish Kumar: Hospital. Yeah, we. I don’t think we have any other clients where we we want rid of that.
217 00:26:06.460 ⇒ 00:26:14.840 Awaish Kumar: for now kind of we are done with that calm.
218 00:26:16.350 ⇒ 00:26:19.070 Awaish Kumar: So now we are going to
219 00:26:22.060 ⇒ 00:26:37.980 Awaish Kumar: work on. Maybe so. I don’t know. I will see how I can spike creating templates. Or
220 00:27:21.180 ⇒ 00:27:30.219 Awaish Kumar: this is basically like kind of templates to create the raw, intermediate and large.
221 00:27:30.980 ⇒ 00:27:40.280 Awaish Kumar: but based on the source like shopify Amazon, such that any new client which comes in we already have
222 00:27:41.580 ⇒ 00:27:44.670 Awaish Kumar: lot of things built out.
223 00:27:45.270 ⇒ 00:27:58.550 Awaish Kumar: So next time we can easily like replicate that for the that for the future clients.
224 00:28:02.926 ⇒ 00:28:10.360 Awaish Kumar: Then we have also, like, continue with the team.
225 00:28:34.480 ⇒ 00:28:38.719 Awaish Kumar: I don’t know what that technical excellence is like. Anyone anyone remember
226 00:28:44.280 ⇒ 00:28:47.489 Awaish Kumar: any one of you remember? What? What was that project about.
227 00:28:48.130 ⇒ 00:28:49.870 Ryan Luke Daque: I have no clue. Why so.
228 00:28:50.670 ⇒ 00:28:51.350 Awaish Kumar: Sorry.
229 00:28:52.000 ⇒ 00:28:52.800 Ryan Luke Daque: I don’t know.
230 00:28:53.590 ⇒ 00:28:55.560 Awaish Kumar: Yeah, I don’t remember either.
231 00:28:56.930 ⇒ 00:28:58.640 Awaish Kumar: Okay, we can just project this.
232 00:29:05.160 ⇒ 00:29:16.010 Awaish Kumar: Yeah. So it’s kind of we are running data platform. Basically to optimize our internal workflows.
233 00:29:16.220 ⇒ 00:29:18.729 Awaish Kumar: So any ideas are welcome here.
234 00:29:19.200 ⇒ 00:29:25.730 Awaish Kumar: So if you think on a client side or on a let, me see here.
235 00:29:28.080 ⇒ 00:29:32.209 Awaish Kumar: while communication between A’s and analyst or
236 00:29:32.540 ⇒ 00:29:36.849 Awaish Kumar: or like, you need any transparency or like
237 00:29:37.380 ⇒ 00:29:40.320 Awaish Kumar: anywhere you think like it can be improved.
238 00:29:40.700 ⇒ 00:29:43.030 Awaish Kumar: The process, the tooling
239 00:29:44.320 ⇒ 00:29:51.129 Awaish Kumar: like, we we can create tickets here, or you can discuss in these meetings, or what whatever.
240 00:29:51.290 ⇒ 00:29:53.025 Awaish Kumar: So we we can
241 00:29:54.910 ⇒ 00:29:59.600 Awaish Kumar: So any ideas of welcome like, we want to improve this platform so that we.
242 00:29:59.850 ⇒ 00:30:10.219 Awaish Kumar: whenever a new client comes in, we have a really stable platform to basically
243 00:30:11.230 ⇒ 00:30:13.719 Awaish Kumar: roll out all these models and
244 00:30:15.450 ⇒ 00:30:19.680 Awaish Kumar: and the dashboard for the clients without any difficulty.
245 00:30:22.600 ⇒ 00:30:25.610 Awaish Kumar: like the one I just wrote right?
246 00:30:26.670 ⇒ 00:30:37.570 Awaish Kumar: to basically have a source based template for upcoming clients is basically Dbt models, but for any like, it can be something for you like source based dashboards
247 00:30:38.350 ⇒ 00:30:42.739 Awaish Kumar: if you want to spend some time on on
248 00:30:43.070 ⇒ 00:30:45.753 Awaish Kumar: for writing down some notes.
249 00:30:46.770 ⇒ 00:30:51.409 Awaish Kumar: maybe we have something source based dashboards like
250 00:30:51.660 ⇒ 00:30:56.880 Awaish Kumar: dashboards for shopify and then inside of that you have
251 00:30:58.203 ⇒ 00:31:05.320 Awaish Kumar: cohort based Ltv. Retention, profitability, things like that so
252 00:31:06.000 ⇒ 00:31:11.819 Awaish Kumar: kind of easy to just roll out for new upcoming clients. We have template. Just copy it
253 00:31:12.420 ⇒ 00:31:18.940 Awaish Kumar: the the dial, the worksheet and use it. Use it for other client kind of.
254 00:31:19.300 ⇒ 00:31:21.520 Awaish Kumar: because when we have.
255 00:31:21.660 ⇒ 00:31:25.869 Awaish Kumar: and on a DVD side, when we have source with template, we kind of have a
256 00:31:26.040 ⇒ 00:31:31.319 Awaish Kumar: table structure which is going to be standard for all clients. Similarly, then.
257 00:31:31.690 ⇒ 00:31:34.570 Awaish Kumar: dashboard can easily be templated as well.
258 00:31:34.830 ⇒ 00:31:36.860 Awaish Kumar: Using those sources.
259 00:31:39.070 ⇒ 00:31:40.320 Awaish Kumar: What do you think.
260 00:31:42.810 ⇒ 00:31:47.340 Ryan Luke Daque: Yeah, that’s that sounds good. I think we already have something like that.
261 00:31:48.130 ⇒ 00:31:54.080 Ryan Luke Daque: But yeah, I can look for the repo, and maybe I can share it with
262 00:31:54.290 ⇒ 00:31:57.668 Ryan Luke Daque: everyone in the team. And maybe we can just update that and
263 00:31:58.340 ⇒ 00:32:00.540 Ryan Luke Daque: make it more relevant. I guess.
264 00:32:01.020 ⇒ 00:32:08.160 Awaish Kumar: Yeah, yeah. But yeah, so what about any like, what do you think about dashboard templates?
265 00:32:11.400 ⇒ 00:32:14.100 Annie Yu: Are you? Do you mean the current one?
266 00:32:16.010 ⇒ 00:32:16.940 Awaish Kumar: I mean.
267 00:32:17.400 ⇒ 00:32:22.429 Awaish Kumar: No, no, I’m I’m not talking about any current dashboard. I’m saying that.
268 00:32:23.840 ⇒ 00:32:32.780 Awaish Kumar: What did you think of an idea where we have some template, source-based template dashboard created
269 00:32:32.950 ⇒ 00:32:41.520 Awaish Kumar: so such that whenever a new client comes in, so our new client, for example, a he wants
270 00:32:41.920 ⇒ 00:32:48.790 Awaish Kumar: profit, profitability, dashboard for Amazon.
271 00:32:49.270 ⇒ 00:32:51.690 Awaish Kumar: and kind of you already have
272 00:32:52.313 ⇒ 00:32:57.040 Awaish Kumar: a dashboard which does does kind of similar thing a profitability dashboard.
273 00:32:57.640 ⇒ 00:33:01.669 Awaish Kumar: So with some tweaks like little bit of like a
274 00:33:02.643 ⇒ 00:33:07.979 Awaish Kumar: updates, and you are done with the creating a dashboard, complete new dashboard for a client.
275 00:33:09.060 ⇒ 00:33:19.399 Awaish Kumar: So I’m I’m saying, what about if we have those standard templates, is it possible to do that? Or we can have like? Then we can just duplicate that template, use it for client
276 00:33:20.110 ⇒ 00:33:29.440 Awaish Kumar: and like, instead of like taking maybe one or 2 days on a time on a dashboard, we we can easily, maybe create in a in few hours.
277 00:33:32.830 ⇒ 00:33:38.570 Annie Yu: hmm, I’m I’m thinking, how?
278 00:33:39.440 ⇒ 00:33:45.950 Annie Yu: How? I guess applicable that can be with different
279 00:33:46.300 ⇒ 00:33:52.700 Annie Yu: dashboarding tools and also different data granularity for each client.
280 00:33:58.280 ⇒ 00:34:01.530 Awaish Kumar: Like, yeah, that’s what that’s what like
281 00:34:01.980 ⇒ 00:34:04.209 Awaish Kumar: we are. That will be this kind of
282 00:34:04.680 ⇒ 00:34:07.249 Awaish Kumar: I want you to give it a thought right?
283 00:34:07.400 ⇒ 00:34:10.699 Awaish Kumar: Maybe write a notion document, write your notes.
284 00:34:11.080 ⇒ 00:34:18.360 Awaish Kumar: What is possible? What is not possible? For example.
285 00:34:19.909 ⇒ 00:34:26.050 Awaish Kumar: yeah. Like, just write. Write something. If some like some dashboards like profitability.
286 00:34:26.600 ⇒ 00:34:31.829 Awaish Kumar: which is like top level dashboard by day. We want to see that profitability.
287 00:34:33.929 ⇒ 00:34:36.975 Awaish Kumar: Could it be done like?
288 00:34:38.260 ⇒ 00:34:46.999 Awaish Kumar: Maybe maybe not. So. Just just give it. Give, give an hour to think about it.
289 00:34:47.190 ⇒ 00:34:47.570 Annie Yu: Hmm.
290 00:34:47.570 ⇒ 00:34:49.509 Awaish Kumar: Write down your what you have thought.
291 00:34:50.110 ⇒ 00:35:00.670 Awaish Kumar: Is it possible or not possible? Will it be helpful for us in the future, or like, when a new client comes in, is it going to be helpful or not like things like that?
292 00:35:01.800 ⇒ 00:35:04.630 Awaish Kumar: If we reach to any conclusions
293 00:35:05.000 ⇒ 00:35:18.018 Awaish Kumar: that by doing that we are actually become efficient in while delivering to the client. Then it will be nice. We are going for implementation. If it is a bad idea, we’ll just drop it.
294 00:35:19.540 ⇒ 00:35:21.940 Annie Yu: okay, yeah, that sounds good.
295 00:35:22.700 ⇒ 00:35:26.620 Annie Yu: I’ll, I’ll spend around about, an hour on it.
296 00:35:27.680 ⇒ 00:35:29.300 Awaish Kumar: Yeah, sure. Thank you.
297 00:35:29.930 ⇒ 00:35:33.725 Awaish Kumar: So any other ideas, if you have anything
298 00:35:35.160 ⇒ 00:35:43.840 Awaish Kumar: just bring that on, and we can see if that can help help us improve our processes.
299 00:35:44.050 ⇒ 00:35:44.930 Awaish Kumar: Yeah.
300 00:35:49.340 ⇒ 00:35:52.549 Awaish Kumar: okay, I don’t have anything else.
301 00:35:55.970 ⇒ 00:35:58.289 Awaish Kumar: Any one of you want to say something.
302 00:36:00.160 ⇒ 00:36:01.893 Annie Yu: I think I’m all set
303 00:36:02.640 ⇒ 00:36:03.430 Annie Yu: Yeah.
304 00:36:04.030 ⇒ 00:36:04.810 Awaish Kumar: Okay.
305 00:36:05.470 ⇒ 00:36:06.450 Awaish Kumar: Okay.
306 00:36:06.670 ⇒ 00:36:07.490 Awaish Kumar: Hmm.
307 00:36:08.010 ⇒ 00:36:08.660 Ryan Luke Daque: You know.
308 00:36:10.020 ⇒ 00:36:11.890 Ryan Luke Daque: Good thanks. Guys.
309 00:36:12.190 ⇒ 00:36:12.750 Annie Yu: Thank you.
310 00:36:12.750 ⇒ 00:36:13.280 Awaish Kumar: Thank you.
311 00:36:14.270 ⇒ 00:36:16.020 Awaish Kumar: Alright, thank you. Bye.