Meeting Title: Amber Lin’s Personal Meeting Room Date: 2025-05-15 Meeting participants: Annie Yu, Uttam Kumaran, Amber Lin
WEBVTT
1 00:01:01.350 ⇒ 00:01:04.739 Amber Lin: Hi, sorry. I realized the other one also had a meeting link.
2 00:01:05.510 ⇒ 00:01:06.960 Annie Yu: Wait! What oh.
3 00:01:07.800 ⇒ 00:01:14.333 Amber Lin: Yeah, no. Well, let’s just stay in this meeting. I realize I I was. Oh, gosh! I can’t even talk.
4 00:01:15.327 ⇒ 00:01:19.372 Annie Yu: It’s okay. Take a take a breath.
5 00:01:25.450 ⇒ 00:01:26.779 Amber Lin: Deep breath. Anyways.
6 00:01:27.586 ⇒ 00:01:33.610 Amber Lin: Let me pull up the dashboard. Udo’s probably joining, he said. Yes, I don’t know where he is, though.
7 00:01:33.750 ⇒ 00:01:35.090 Annie Yu: Okay. Yeah.
8 00:01:35.810 ⇒ 00:01:36.640 Amber Lin: Oh!
9 00:01:37.457 ⇒ 00:01:38.380 Amber Lin: There he is!
10 00:01:39.580 ⇒ 00:01:40.670 Amber Lin: Hi!
11 00:01:40.670 ⇒ 00:01:41.690 Uttam Kumaran: Hello!
12 00:01:41.870 ⇒ 00:01:43.009 Amber Lin: Oh, Tom! Me too.
13 00:01:43.010 ⇒ 00:01:44.789 Uttam Kumaran: Hi! How are you?
14 00:01:45.160 ⇒ 00:01:46.289 Amber Lin: I’m so dead.
15 00:01:47.170 ⇒ 00:01:48.200 Uttam Kumaran: Bed.
16 00:01:48.820 ⇒ 00:01:49.930 Amber Lin: Yeah, huh?
17 00:01:50.160 ⇒ 00:01:51.870 Amber Lin: Lots of calls.
18 00:01:54.380 ⇒ 00:02:02.159 Amber Lin: Okay, that’s go through these. I think this one’s easier. Oh, sorry. This one’s easier to go through.
19 00:02:03.420 ⇒ 00:02:05.290 Amber Lin: Let’s just look at this real quick.
20 00:02:06.280 ⇒ 00:02:08.610 Amber Lin: I know we kind of wanted to
21 00:02:11.220 ⇒ 00:02:14.489 Amber Lin: move this one up here. I assume.
22 00:02:18.893 ⇒ 00:02:21.310 Uttam Kumaran: Wait speaking over to me.
23 00:02:23.850 ⇒ 00:02:24.490 Amber Lin: Yeah.
24 00:02:25.110 ⇒ 00:02:29.150 Amber Lin: And I remember one of your requests was to move this up there. But.
25 00:02:29.150 ⇒ 00:02:30.040 Uttam Kumaran: Oh!
26 00:02:30.040 ⇒ 00:02:31.240 Amber Lin: That somewhat.
27 00:02:31.240 ⇒ 00:02:41.438 Uttam Kumaran: Yeah, I guess like, so I I spent yeah, I mean, if you if you want me to sort of just give an overview of like. How so I was obviously looked at this. All of that meeting.
28 00:02:41.700 ⇒ 00:02:43.350 Amber Lin: Oh, screen.
29 00:02:43.620 ⇒ 00:02:45.859 Uttam Kumaran: Okay, hold on. Give me a sec.
30 00:02:55.670 ⇒ 00:02:59.100 Uttam Kumaran: Okay, so where am I?
31 00:03:12.390 ⇒ 00:03:23.000 Uttam Kumaran: So yeah, I think a couple of things. I think these are great.
32 00:03:23.220 ⇒ 00:03:32.059 Uttam Kumaran: I would. Probably I think it’s actually, I think this is fine. The only thing I noticed immediately is.
33 00:03:32.350 ⇒ 00:03:36.300 Uttam Kumaran: it doesn’t look like there’s data past the 8.th Is that correct?
34 00:03:37.410 ⇒ 00:03:39.170 Annie Yu: Yeah, yeah.
35 00:03:39.170 ⇒ 00:03:40.100 Uttam Kumaran: We’re waiting.
36 00:03:40.340 ⇒ 00:03:41.209 Amber Lin: Yeah, we’re stuck.
37 00:03:41.451 ⇒ 00:03:44.829 Annie Yu: I think we actually got it. But I didn’t have time to load it.
38 00:03:45.200 ⇒ 00:03:47.440 Annie Yu: It’s like, I’ll try to do that today.
39 00:03:47.440 ⇒ 00:03:50.689 Uttam Kumaran: All good, and then this is defaulting to Utc for me.
40 00:03:56.310 ⇒ 00:03:57.849 Annie Yu: Okay, we can.
41 00:03:57.850 ⇒ 00:04:00.760 Uttam Kumaran: If it’s if it’s not easy, just ask
42 00:04:00.900 ⇒ 00:04:02.959 Uttam Kumaran: the real team what to do, because
43 00:04:03.310 ⇒ 00:04:06.619 Uttam Kumaran: I tried to do tried to change this once, and it never worked. It didn’t work.
44 00:04:06.620 ⇒ 00:04:10.650 Annie Yu: I, actually, yeah, I actually thought we already have that in the.
45 00:04:10.650 ⇒ 00:04:15.530 Uttam Kumaran: I thought so, too. I don’t know. Like what. Yeah, I don’t know. It’s not. I’m not like.
46 00:04:15.760 ⇒ 00:04:17.530 Uttam Kumaran: I don’t have any settings, so.
47 00:04:21.170 ⇒ 00:04:23.990 Amber Lin: One question I have on this dashboard.
48 00:04:24.260 ⇒ 00:04:31.239 Amber Lin: What is the I know we talked about, including the people with 0 calls? What is the one with
49 00:04:31.420 ⇒ 00:04:35.630 Amber Lin: no, but assisted calls.
50 00:04:35.850 ⇒ 00:04:38.606 Amber Lin: It just means people with 0 call.
51 00:04:39.140 ⇒ 00:04:41.720 Amber Lin: 0 assistant calls is listed there right.
52 00:04:44.030 ⇒ 00:04:46.529 Annie Yu: Yeah, these people don’t have.
53 00:04:46.530 ⇒ 00:04:47.030 Amber Lin: Name.
54 00:04:47.030 ⇒ 00:04:47.360 Annie Yu: Not.
55 00:04:47.360 ⇒ 00:04:48.169 Amber Lin: Go ahead!
56 00:04:49.070 ⇒ 00:04:51.260 Uttam Kumaran: Only my only feedback here is, I think.
57 00:04:52.100 ⇒ 00:04:53.510 Uttam Kumaran: Let’s just think
58 00:04:53.980 ⇒ 00:04:55.009 Amber Lin: We combine them.
59 00:04:55.010 ⇒ 00:05:04.370 Uttam Kumaran: Well, either, let’s no, I I think it’s actually helpful, because otherwise you’ll have to scroll down. This is basically like it’s the same chart, except just you can just rank the other way, right?
60 00:05:04.650 ⇒ 00:05:11.789 Uttam Kumaran: Or you’re I mean, you’re limiting. But like basically the same thing. And can we just like push these into like.
61 00:05:12.990 ⇒ 00:05:18.090 Uttam Kumaran: can we just like move these both into like this space cause? Then I can throw some throw something else in here.
62 00:05:18.670 ⇒ 00:05:20.679 Annie Yu: What do you mean by that.
63 00:05:21.070 ⇒ 00:05:23.200 Uttam Kumaran: Like cause. This is all white space right here.
64 00:05:24.780 ⇒ 00:05:25.970 Annie Yu: Yeah, I didn’t.
65 00:05:26.550 ⇒ 00:05:31.920 Uttam Kumaran: We could just like have this one in this box have this one in this box.
66 00:05:32.750 ⇒ 00:05:39.230 Annie Yu: And then then we will have to fill something on the right, or else cause that.
67 00:05:39.230 ⇒ 00:05:44.060 Amber Lin: Don’t. We have a very similar one of a leaderboard with the feedback?
68 00:05:44.500 ⇒ 00:05:57.159 Amber Lin: Because I I think we have a few things right. We have a leaderboard of the usage data and feedback data. And I guess also, with this is the number of calls they took with Andy.
69 00:05:57.310 ⇒ 00:06:00.610 Amber Lin: So I guess we technically have 3 leader boards. If we.
70 00:06:00.610 ⇒ 00:06:06.150 Uttam Kumaran: I I guess. Yeah, my yeah, my feedback. We do one with like reps by calls.
71 00:06:06.710 ⇒ 00:06:09.909 Uttam Kumaran: reps with bot assisted reps with no bot assisted
72 00:06:10.790 ⇒ 00:06:14.769 Uttam Kumaran: that way. It’ll get us to see like is Joy 10.
73 00:06:14.990 ⇒ 00:06:17.220 Uttam Kumaran: Just because she takes the most calls?
74 00:06:18.560 ⇒ 00:06:26.249 Uttam Kumaran: Or is it because she’s actually like using it? The most. You see what I mean. We want to look at like percent of total calls.
75 00:06:26.380 ⇒ 00:06:27.679 Amber Lin: Yeah, like.
76 00:06:27.890 ⇒ 00:06:34.679 Uttam Kumaran: For example, this is a rep percent. Use bot, I want to see all percentage use bought.
77 00:06:37.010 ⇒ 00:06:43.840 Uttam Kumaran: Which is here. But this is the total number, and it’s gonna be bad.
78 00:06:44.030 ⇒ 00:06:47.150 Uttam Kumaran: right? Because 72 out of this is a low number.
79 00:06:47.650 ⇒ 00:06:49.490 Uttam Kumaran: I’m okay with that. I don’t. It’s
80 00:06:49.600 ⇒ 00:06:55.779 Uttam Kumaran: I don’t mind it looking bad, because we’re still in the adoption phase, and we’re not looking for 100.
81 00:06:56.130 ⇒ 00:06:59.240 Uttam Kumaran: Even 10% of these is fine.
82 00:07:01.150 ⇒ 00:07:04.339 Amber Lin: Hmm, so total percent of calls are used by.
83 00:07:04.660 ⇒ 00:07:17.809 Uttam Kumaran: I would love to see that because I don’t necessarily care about I mean, like, I care about this number, actually, because this is how we’re billing them. But I want to look at like the percentage of calls in which the bot is being used.
84 00:07:20.690 ⇒ 00:07:21.860 Uttam Kumaran: That would be helpful.
85 00:07:22.330 ⇒ 00:07:27.499 Amber Lin: On what one thing that me and Annie talked about last time was also
86 00:07:28.090 ⇒ 00:07:31.690 Amber Lin: per user, right per per Csr.
87 00:07:32.070 ⇒ 00:07:36.069 Amber Lin: Right now, I think it was something with the the joins that we did.
88 00:07:36.070 ⇒ 00:07:36.990 Uttam Kumaran: Oh, a dashboard!
89 00:07:36.990 ⇒ 00:07:37.990 Uttam Kumaran: Really sure!
90 00:07:38.160 ⇒ 00:07:39.495 Amber Lin: No, no, like
91 00:07:40.210 ⇒ 00:07:44.979 Amber Lin: I think I I just wanted to see. Okay for this particular person.
92 00:07:45.340 ⇒ 00:08:00.050 Amber Lin: How? What amount of total calls did they take versus the amount of calls that they took, for with a bot, I think with the current way we do joins, we can’t really see that. We have a ticket to investigate it, though.
93 00:08:01.090 ⇒ 00:08:05.129 Annie Yu: Amber. Did you mean the test user filter.
94 00:08:06.529 ⇒ 00:08:13.250 Amber Lin: I I think I meant more. Yeah, that ticket. But I think I met the yes
95 00:08:13.620 ⇒ 00:08:22.260 Amber Lin: related to the test user ticket. Ultimately, it’s so that we can see. Okay for joy. Her total calls is not Ted right?
96 00:08:22.633 ⇒ 00:08:24.500 Uttam Kumaran: I see. So yeah, this.
97 00:08:24.970 ⇒ 00:08:28.100 Uttam Kumaran: Can you tag me in that ticket? I’ll I can help.
98 00:08:28.582 ⇒ 00:08:35.339 Annie Yu: You would tell if you filter by what if you filter by participant.
99 00:08:35.789 ⇒ 00:08:36.299 Uttam Kumaran: Oh!
100 00:08:36.299 ⇒ 00:08:36.739 Annie Yu: Your name.
101 00:08:36.740 ⇒ 00:08:37.410 Uttam Kumaran: Yeah, yeah.
102 00:08:37.419 ⇒ 00:08:40.909 Annie Yu: One that’s in table.
103 00:08:47.599 ⇒ 00:08:48.829 Amber Lin: Wow!
104 00:08:49.009 ⇒ 00:08:52.309 Amber Lin: This participant is so so much messier.
105 00:08:52.910 ⇒ 00:09:03.390 Annie Yu: Yeah. So for that reps, with no bot assisted calls, I actually took out all of the ones that have multiple people in one call.
106 00:09:04.310 ⇒ 00:09:06.430 Uttam Kumaran: But multiple people in a call.
107 00:09:07.500 ⇒ 00:09:11.540 Uttam Kumaran: I guess that means that they’re just talking to someone right?
108 00:09:13.900 ⇒ 00:09:17.690 Amber Lin: They probably did a transfer, or they it got escalated.
109 00:09:18.150 ⇒ 00:09:19.300 Uttam Kumaran: Oh!
110 00:09:19.460 ⇒ 00:09:21.000 Amber Lin: I don’t know. We should ask.
111 00:09:21.850 ⇒ 00:09:24.000 Uttam Kumaran: But this is it. If you do, participant, join.
112 00:09:24.000 ⇒ 00:09:25.090 Amber Lin: No.
113 00:09:25.240 ⇒ 00:09:28.280 Uttam Kumaran: Then you can see everything for joy. Basically.
114 00:09:28.280 ⇒ 00:09:32.190 Amber Lin: Okay, that is awesome. That is what I wanted to see.
115 00:09:32.970 ⇒ 00:09:40.350 Amber Lin: because you took 10 calls out of 400, maybe for other people, the percentage will be even will be even less.
116 00:09:40.350 ⇒ 00:09:46.820 Uttam Kumaran: Yeah. So can I ask you a question, Annie. So if I was to go, if I’m like cool, I want to just like fix this real quick.
117 00:09:47.490 ⇒ 00:09:50.339 Uttam Kumaran: I have to pull it up in local, fix it, and then push it.
118 00:09:51.720 ⇒ 00:09:54.039 Annie Yu: What do you mean by that? You mean.
119 00:09:54.040 ⇒ 00:09:57.030 Uttam Kumaran: Like, if I just wanna like drag this here.
120 00:09:58.430 ⇒ 00:10:04.999 Uttam Kumaran: how do I go make that change? I should go into my like I should. I gotta do that in code, right?
121 00:10:05.000 ⇒ 00:10:06.210 Annie Yu: Yeah, that’s.
122 00:10:06.510 ⇒ 00:10:11.008 Uttam Kumaran: That’s the way I do it. I don’t know if there’s another way, but
123 00:10:11.330 ⇒ 00:10:15.560 Uttam Kumaran: I thought they tried to allow you to be able to edit like directly here, but maybe not.
124 00:10:17.021 ⇒ 00:10:21.960 Annie Yu: Oh, no! You have still have to open like real start, and.
125 00:10:21.960 ⇒ 00:10:22.800 Uttam Kumaran: Yeah, okay.
126 00:10:22.800 ⇒ 00:10:33.509 Annie Yu: And drag kind of drag and drop, I think what you’re trying to do. Make that like wider. Make each column wider. I try to do that. But I
127 00:10:34.440 ⇒ 00:10:35.310 Annie Yu: I think I just.
128 00:10:35.310 ⇒ 00:10:42.910 Uttam Kumaran: Okay, I’ll go in and try a couple of things, and then I’ll I’m gonna give them like a like 10,000 feedback notes.
129 00:10:43.270 ⇒ 00:10:43.720 Annie Yu: Yeah.
130 00:10:43.720 ⇒ 00:10:49.189 Uttam Kumaran: You know. I told I told him I told the CEO what you said, which was that like
131 00:10:50.110 ⇒ 00:10:54.229 Uttam Kumaran: working with real is kind of hard like as an you know, I’ll I’ll
132 00:10:54.490 ⇒ 00:10:59.300 Uttam Kumaran: I should show you what I what I told him. Yeah, because.
133 00:10:59.300 ⇒ 00:11:04.760 Annie Yu: From your perspective because you’re like an actual data engineer. It’s probably easier for you.
134 00:11:04.760 ⇒ 00:11:10.229 Uttam Kumaran: No, no, it’s the I know. But this is the thing. It’s this. This tool is not built for.
135 00:11:10.410 ⇒ 00:11:16.709 Uttam Kumaran: It’s not necessarily like built for me right like I told. What I told them is that you’re building
136 00:11:17.150 ⇒ 00:11:20.930 Uttam Kumaran: like I’ll show you what he he messaged me. He was like.
137 00:11:22.368 ⇒ 00:11:24.459 Uttam Kumaran: hey! Are you using evidence?
138 00:11:24.640 ⇒ 00:11:29.339 Uttam Kumaran: And he was like, Did you deploy on Evan? Oh, he was saying.
139 00:11:30.480 ⇒ 00:11:35.779 Uttam Kumaran: what do you think if we built a lovable style front end for real, basically meaning like
140 00:11:36.070 ⇒ 00:11:38.629 Uttam Kumaran: amber. He’s like, what if we built bolt for real
141 00:11:39.460 ⇒ 00:11:43.170 Uttam Kumaran: point at your data? Give it a prompt and we’ll build you the dashboard. I was like.
142 00:11:43.700 ⇒ 00:11:47.279 Uttam Kumaran: you guys can probably do that today like just do it. Whatever
143 00:11:47.500 ⇒ 00:11:49.139 Uttam Kumaran: the second thing I was like.
144 00:11:49.370 ⇒ 00:12:05.420 Uttam Kumaran: I think releasing something that assists non-technical developers. To modify real yaml or visual real canvases is better feedback from the analysts on my teams that dealing with those issues are the toughest. There are many more talented dashboard and data storytellers than there are all people who know Yaml Github deploys
145 00:12:05.550 ⇒ 00:12:15.570 Uttam Kumaran: for my business. I’m leaning less dashboard monkeys, more insult sites and consultative people. Our analytics engineers can turn out dashboards pretty easily. And so
146 00:12:15.730 ⇒ 00:12:25.980 Uttam Kumaran: I gave him that feedback because I was like, Don’t don’t make this more developed like make us more friendly because the analysts are what have to tell the story right like. Look at this, and what’s going on?
147 00:12:26.210 ⇒ 00:12:32.049 Uttam Kumaran: If I have to. If I’m like yo, I want to just like make I need to quickly extend this or like, I quickly wanna do something
148 00:12:32.250 ⇒ 00:12:36.280 Uttam Kumaran: I feel like real starting to do that. I was like dude like you’re missing the boat a little bit.
149 00:12:37.140 ⇒ 00:12:40.120 Uttam Kumaran: I don’t know. It’s my feedback. You could take it or leave it but
150 00:12:45.820 ⇒ 00:12:47.719 Uttam Kumaran: So I gave him the feedback. We’ll see.
151 00:12:48.460 ⇒ 00:12:55.867 Annie Yu: Yeah, sounds good. And I think one thing that I I just really want is to be able to adjust that like height.
152 00:12:56.530 ⇒ 00:12:59.059 Annie Yu: But that’s like one small thing.
153 00:12:59.310 ⇒ 00:13:01.759 Uttam Kumaran: What did they tell you when you asked them? The other thing.
154 00:13:02.115 ⇒ 00:13:08.150 Annie Yu: Roy said. He also brought this up the other day, because he also wanted the same feature.
155 00:13:10.620 ⇒ 00:13:11.100 Uttam Kumaran: Bye.
156 00:13:11.100 ⇒ 00:13:16.079 Annie Yu: No plan to to change that in the near future. I think that, was the reply.
157 00:13:16.080 ⇒ 00:13:21.059 Uttam Kumaran: So the the thing is they’re they’re releasing a custom component. So maybe we can do that.
158 00:13:22.760 ⇒ 00:13:23.890 Uttam Kumaran: And
159 00:13:28.520 ⇒ 00:13:33.949 Uttam Kumaran: yeah, I don’t know. They’re kind of cop out answers what they gave us, whatever.
160 00:13:36.208 ⇒ 00:13:38.839 Annie Yu: And and one thing I’m not sure if
161 00:13:39.310 ⇒ 00:13:47.360 Annie Yu: we want to fix, that is the gap between like the lines, because on some days. We just don’t have data, and I
162 00:13:48.360 ⇒ 00:13:51.339 Annie Yu: honestly don’t really know how to fix that.
163 00:13:51.340 ⇒ 00:13:54.417 Uttam Kumaran: I didn’t really know what to do, either, because,
164 00:13:58.090 ⇒ 00:13:59.440 Uttam Kumaran: what did like?
165 00:14:00.640 ⇒ 00:14:03.459 Uttam Kumaran: Didn’t we ask them something about this.
166 00:14:03.460 ⇒ 00:14:04.285 Annie Yu: But
167 00:14:05.400 ⇒ 00:14:06.709 Uttam Kumaran: What did they say?
168 00:14:09.242 ⇒ 00:14:13.229 Annie Yu: I can try to find it. But the 1st
169 00:14:13.410 ⇒ 00:14:19.780 Annie Yu: solution was not it just because we actually don’t have data, it was not null. It’s
170 00:14:20.970 ⇒ 00:14:23.030 Annie Yu: no data on those days.
171 00:14:25.110 ⇒ 00:14:27.440 Annie Yu: Cause, I think first, st he.
172 00:14:27.930 ⇒ 00:14:29.549 Annie Yu: So you can try the the call.
173 00:14:29.550 ⇒ 00:14:35.629 Uttam Kumaran: I literally just don’t want these days to show up on the like. I don’t even want to show 0.
174 00:14:36.260 ⇒ 00:14:37.260 Annie Yu: Yeah.
175 00:14:37.260 ⇒ 00:14:41.329 Uttam Kumaran: I, wanna you know, in tableau, you can remove weekends like I just wanna remove weekends.
176 00:14:42.710 ⇒ 00:14:44.420 Uttam Kumaran: I mean, I’m just gonna ask them like.
177 00:14:45.890 ⇒ 00:14:54.169 Annie Yu: Yeah. Cause I think if I’m a stakeholder, I’m not super like, I think this is not about like being technical or not. But it’s it’s gonna.
178 00:14:54.170 ⇒ 00:14:54.870 Uttam Kumaran: No?
179 00:14:55.410 ⇒ 00:15:01.619 Uttam Kumaran: Well, like I just want to be able to say, I want to be able to filter out these days weekend days.
180 00:15:02.250 ⇒ 00:15:06.159 Uttam Kumaran: This is something you can do in Looker. By the way you can do in looker, in tableau.
181 00:15:06.970 ⇒ 00:15:11.600 Uttam Kumaran: I’ll ask them. I mean, whatever I don’t know. It’s like, look, we’re we’re we’re paying for it. So
182 00:15:11.960 ⇒ 00:15:21.140 Uttam Kumaran: I mean. But it’s also up to you. Look if if you tell me if you come and tell me that, hey? This sucks? And I want to use tableau. I’m open to that. Or if you want to use.
183 00:15:21.570 ⇒ 00:15:21.950 Annie Yu: Alright!
184 00:15:21.950 ⇒ 00:15:22.410 Uttam Kumaran: Tool.
185 00:15:22.410 ⇒ 00:15:32.919 Annie Yu: I am. I’m like a huge tableau lover, so if I would take every chance to work with tableau. But I’m biased, too. So.
186 00:15:32.920 ⇒ 00:15:36.900 Uttam Kumaran: Okay. But then tell me this like, I feel like we’ve
187 00:15:37.000 ⇒ 00:15:42.190 Uttam Kumaran: for the users. Tableau is kind of like tough to navigate
188 00:15:42.610 ⇒ 00:15:53.989 Uttam Kumaran: like, do you think tableau is better for customers that like, for example, for ABC, I feel like they’re gonna get our data from like a presentation meaning we’re gonna have to present it. So.
189 00:15:55.030 ⇒ 00:15:56.030 Uttam Kumaran: They’re.
190 00:15:56.140 ⇒ 00:16:00.779 Uttam Kumaran: I don’t care much about them doing self service, because tableau self service is kind of rough.
191 00:16:01.962 ⇒ 00:16:07.170 Uttam Kumaran: The other thing we can do is sort of like.
192 00:16:08.150 ⇒ 00:16:15.789 Uttam Kumaran: yeah, I I don’t know. I I guess I don’t know what other you know. What other options are there beyond tableau that you think would would work
193 00:16:15.960 ⇒ 00:16:17.899 Uttam Kumaran: like? Is tableau really just like
194 00:16:18.190 ⇒ 00:16:21.079 Uttam Kumaran: cause I don’t. This. We don’t need self service right? I don’t need them.
195 00:16:21.500 ⇒ 00:16:25.450 Uttam Kumaran: There’s not a hundred people in here do doing their own stuff. It’s just us mainly.
196 00:16:25.450 ⇒ 00:16:32.815 Amber Lin: What about the tool you sent last time? I mean, a big part of this is sometimes we need to look at
197 00:16:33.270 ⇒ 00:16:39.970 Amber Lin: kind of like the pivot table. Also to look at. Okay, these are all the inputs they put. These are all the outputs, like
198 00:16:40.070 ⇒ 00:16:46.339 Amber Lin: one of my core needs is that I sometimes need to look at all the conversation blocks in a table.
199 00:16:46.600 ⇒ 00:16:50.710 Amber Lin: so I don’t know if other tools lets us look at it like real does
200 00:16:50.920 ⇒ 00:16:52.830 Amber Lin: like having a table view.
201 00:16:55.050 ⇒ 00:16:56.879 Uttam Kumaran: Yeah, you’re right. I mean.
202 00:17:03.422 ⇒ 00:17:06.338 Uttam Kumaran: I just saw.
203 00:17:07.954 ⇒ 00:17:09.889 Annie Yu: You’re sounding like.
204 00:17:11.170 ⇒ 00:17:12.440 Uttam Kumaran: Oh, sorry! Can you hear me now?
205 00:17:12.956 ⇒ 00:17:13.990 Annie Yu: Think, yeah.
206 00:17:14.569 ⇒ 00:17:18.489 Uttam Kumaran: Yeah, sorry. No, I said. I have like a love hate relationship with tableau like
207 00:17:19.359 ⇒ 00:17:22.519 Uttam Kumaran: it’s good. But it’s also kind of overkill sometimes.
208 00:17:29.220 ⇒ 00:17:32.784 Annie Yu: Well, yeah, I guess for a smaller project.
209 00:17:39.580 ⇒ 00:17:41.890 Annie Yu: I mean, if if
210 00:17:43.240 ⇒ 00:17:53.679 Annie Yu: yeah, I don’t know, but I think so far, if we we are just dealing with what we have now, I think if we keeping real is fine, but
211 00:17:54.400 ⇒ 00:18:00.189 Annie Yu: well, we’ll see as we go.
212 00:18:01.850 ⇒ 00:18:03.979 Uttam Kumaran: Okay, I mean, look, if you, if
213 00:18:04.420 ⇒ 00:18:12.589 Uttam Kumaran: the there’s there’s only a couple of other tools that I know, because these guys I don’t want to spend much money like we can get tableau, but then we have to get tableau cloud.
214 00:18:12.890 ⇒ 00:18:15.790 Uttam Kumaran: I would rather spend amber like funny, expensive
215 00:18:16.951 ⇒ 00:18:22.240 Uttam Kumaran: I think it’s we have to pay per user like real doesn’t charge on a user basis.
216 00:18:22.550 ⇒ 00:18:25.059 Uttam Kumaran: Got it? Got it? That makes sense.
217 00:18:25.310 ⇒ 00:18:30.030 Uttam Kumaran: So that’s why I’m like we’ll just do it, for whatever the the cheapest thing is.
218 00:18:32.880 ⇒ 00:18:34.150 Uttam Kumaran: But I don’t know. I think like.
219 00:18:34.150 ⇒ 00:18:34.660 Annie Yu: Hmm.
220 00:18:34.660 ⇒ 00:18:38.879 Uttam Kumaran: I’m I’m more like, I I want.
221 00:18:39.110 ⇒ 00:18:45.299 Uttam Kumaran: It’s it’s sort of a mix of like, what does it cost? And then how much does it improve your efficiency.
222 00:18:45.480 ⇒ 00:18:49.100 Uttam Kumaran: But ultimately, how does it help the client? Right?
223 00:18:51.280 ⇒ 00:18:59.439 Uttam Kumaran: client is happy. So maybe we don’t do anything. And hopefully, it’s not like we’re not. I think we’re making some dashboard adjustments. But hopefully, it’s not like a lot
224 00:18:59.560 ⇒ 00:19:02.910 Uttam Kumaran: going forward like, we’re not modeling their whole business. Just this piece.
225 00:19:04.400 ⇒ 00:19:10.010 Annie Yu: Yeah, yeah, that that makes sense.
226 00:19:11.024 ⇒ 00:19:14.209 Annie Yu: And I I think, Utama, I think
227 00:19:14.700 ⇒ 00:19:20.919 Annie Yu: I will need you or someone else to kind of go into my
228 00:19:22.173 ⇒ 00:19:26.749 Annie Yu: models and just make some refreshment or.
229 00:19:27.550 ⇒ 00:19:29.080 Uttam Kumaran: I know the day was.
230 00:19:29.080 ⇒ 00:19:30.289 Uttam Kumaran: It was coming. I know.
231 00:19:30.290 ⇒ 00:19:43.460 Annie Yu: I am. I’m not like a hundred percent confident with my query. There, I think it’s not perfect, and I I just don’t want to compromise, like the data integrity because of the.
232 00:19:43.760 ⇒ 00:19:51.490 Uttam Kumaran: Yeah. So one of the one of the things we’re doing company wide. I don’t know if a wish mentioned. But we’re gonna start. Everybody’s gonna start going for their Dbt certification.
233 00:19:51.780 ⇒ 00:19:55.099 Uttam Kumaran: So as part of that, I think migrating this to Dbt.
234 00:19:55.790 ⇒ 00:19:57.270 Uttam Kumaran: Will be helpful to do.
235 00:19:57.690 ⇒ 00:20:03.719 Uttam Kumaran: But I think it’ll be a mix of. I think you can probably handle some of it and then working with the team on that.
236 00:20:06.820 ⇒ 00:20:08.390 Uttam Kumaran: So yeah.
237 00:20:08.390 ⇒ 00:20:17.883 Annie Yu: And yeah, and what’s up with Doc? dB, I think I I don’t like how it’s different than or.
238 00:20:19.280 ⇒ 00:20:21.170 Uttam Kumaran: So dot dB
239 00:20:25.190 ⇒ 00:20:29.869 Annie Yu: Because they are based. They they use duck. dB, right? And I I know.
240 00:20:29.870 ⇒ 00:20:30.390 Uttam Kumaran: Doug.
241 00:20:30.390 ⇒ 00:20:30.900 Annie Yu: Some of the.
242 00:20:30.900 ⇒ 00:20:33.549 Uttam Kumaran: Yeah. So basically, duck Dv is like
243 00:20:33.760 ⇒ 00:20:37.719 Uttam Kumaran: a browser based in memory database. Meaning
244 00:20:38.514 ⇒ 00:20:44.670 Uttam Kumaran: it loads this data into your browser. So you’re not running queries back and forth to Snowflake every time.
245 00:20:46.300 ⇒ 00:21:02.009 Uttam Kumaran: You see what I mean. So what happens is it? Does one select it brings it, it brings those models that you you specify in rail into your browser, and then it runs queries that’s in your browser. So there’s it’s like, very fast. That’s why rail is super fast because of this technology.
246 00:21:02.490 ⇒ 00:21:04.210 Annie Yu: Got it. Got it.
247 00:21:04.210 ⇒ 00:21:06.059 Uttam Kumaran: So like tableau
248 00:21:06.310 ⇒ 00:21:10.380 Uttam Kumaran: you would have to. You’ve changed one thing it takes 20 min to like come back to you right like.
249 00:21:10.770 ⇒ 00:21:12.339 Uttam Kumaran: That’s the difference. Here.
250 00:21:12.340 ⇒ 00:21:18.270 Amber Lin: Why aren’t the other day bi tools using this technology, too? And why? So.
251 00:21:18.270 ⇒ 00:21:24.049 Uttam Kumaran: Tableau got tableau got bought like 5 years ago, and nothing has really changed. Same with Looker.
252 00:21:25.050 ⇒ 00:21:30.280 Uttam Kumaran: Just like there isn’t a there aren’t a lot of tools in this space. The only other tool, like
253 00:21:30.990 ⇒ 00:21:34.309 Uttam Kumaran: the the up and coming tool, is this tool omni.
254 00:21:35.230 ⇒ 00:21:37.369 Uttam Kumaran: so kind of overkill for what we need.
255 00:21:38.640 ⇒ 00:21:40.010 Uttam Kumaran: But we have a.
256 00:21:40.550 ⇒ 00:21:41.030 Amber Lin: Wow!
257 00:21:41.030 ⇒ 00:21:45.979 Uttam Kumaran: I have a partnership signed with them. I just haven’t had a good client that wants to undertake on this.
258 00:21:46.630 ⇒ 00:21:54.410 Uttam Kumaran: But, I can invite you guys like, I was thinking about using this for our company metrics
259 00:21:54.780 ⇒ 00:21:56.322 Uttam Kumaran: because they gave us a free
260 00:21:56.730 ⇒ 00:22:01.620 Uttam Kumaran: playground version of it. So I was like, okay, whatever. Oh, we can use it.
261 00:22:04.410 ⇒ 00:22:07.139 Uttam Kumaran: But there’s just not a lot of other tools like.
262 00:22:07.480 ⇒ 00:22:09.809 Uttam Kumaran: The only other one is this tool called hex.
263 00:22:13.700 ⇒ 00:22:20.480 Uttam Kumaran: It’s kind of like a notebook, though, like it sounded very technical.
264 00:22:20.690 ⇒ 00:22:22.570 Annie Yu: Hmm, yeah.
265 00:22:23.820 ⇒ 00:22:26.646 Uttam Kumaran: And then I’m trying to think about like
266 00:22:27.000 ⇒ 00:22:30.850 Annie Yu: What’s that is is like Li Dash, also a tool.
267 00:22:30.850 ⇒ 00:22:33.429 Uttam Kumaran: Oh, light! Dash! Light! Dash is like looker.
268 00:22:33.970 ⇒ 00:22:37.199 Annie Yu: Oh, okay, yeah. I’ve never used white dash.
269 00:22:39.160 ⇒ 00:22:41.080 Uttam Kumaran: Light dash is nice, too. I mean
270 00:22:43.020 ⇒ 00:22:46.270 Uttam Kumaran: 800 a month is not like a whole lot of money, but like
271 00:22:46.440 ⇒ 00:22:48.479 Uttam Kumaran: real start. The 2 50 a month.
272 00:22:49.190 ⇒ 00:22:49.930 Annie Yu: And.
273 00:22:49.930 ⇒ 00:22:52.570 Uttam Kumaran: We’re actually using our own rail
274 00:22:52.680 ⇒ 00:22:55.150 Uttam Kumaran: because we get it for free. So we’re not paying anything.
275 00:22:56.072 ⇒ 00:22:59.697 Uttam Kumaran: It’s just hard to. It’s kind of hard to compete with free.
276 00:23:01.340 ⇒ 00:23:02.470 Annie Yu: That’s fair.
277 00:23:02.470 ⇒ 00:23:05.439 Uttam Kumaran: That’s just because we’re friends with them. By the way, so
278 00:23:11.390 ⇒ 00:23:25.030 Uttam Kumaran: I don’t know. This is like bi tools. It’s like all always. I don’t know if we’re we, if you if you’re really like yo, we want to. I’m only doing tableau. Wish everything we should do tableau and fine. It’s just like, I want you guys to be confident, though, like.
279 00:23:25.470 ⇒ 00:23:27.879 Uttam Kumaran: if you ask me, I have opinions, but
280 00:23:28.020 ⇒ 00:23:33.880 Uttam Kumaran: I want to do what what we’re comfortable with and like what we know we’re strong at. If it’s tableau, then it’s tableau.
281 00:23:34.380 ⇒ 00:23:36.639 Uttam Kumaran: at least for some use. Cases.
282 00:23:39.040 ⇒ 00:23:49.090 Annie Yu: Yeah, yeah, I think for real. I, yeah. My one thing is also just because, we got
283 00:23:50.360 ⇒ 00:23:58.079 Annie Yu: not super familiar with Yaml. And I like. I don’t like how like each time you have to go through Yaml.
284 00:23:59.920 ⇒ 00:24:01.630 Uttam Kumaran: Oh, yeah, you’re right. And that’s.
285 00:24:01.630 ⇒ 00:24:02.190 Annie Yu: The reason.
286 00:24:02.190 ⇒ 00:24:03.219 Uttam Kumaran: Why I
287 00:24:03.330 ⇒ 00:24:09.269 Uttam Kumaran: I wanted us to use. It is because I was hoping that you can use AI to make a lot of those changes fast
288 00:24:12.320 ⇒ 00:24:17.300 Uttam Kumaran: meaning like, are you using cursor at all to make any of these changes.
289 00:24:19.446 ⇒ 00:24:24.910 Annie Yu: Not cursor, you mean you mean, for like Yaml side or.
290 00:24:25.447 ⇒ 00:24:34.079 Uttam Kumaran: Yeah, just any code changes like, are you using cursor at all? Or you you just like manually going in there and editing it like in in you’re using it.
291 00:24:34.210 ⇒ 00:24:36.251 Uttam Kumaran: are you? In Vs code?
292 00:24:37.573 ⇒ 00:24:43.479 Annie Yu: No, I think I use cursor now, and I I kind of cross checked
293 00:24:44.050 ⇒ 00:24:49.940 Annie Yu: between like cursor and chat gpt, and I was for my my like.
294 00:24:49.940 ⇒ 00:24:50.570 Uttam Kumaran: Okay.
295 00:24:50.570 ⇒ 00:25:03.160 Annie Yu: Data science assignment, like, I usually compare those 2, and I think I still prefer, like the Chat Gpt’s answer, and I would like, ask them like, which one do you think is better? And
296 00:25:03.920 ⇒ 00:25:05.669 Annie Yu: of them say.
297 00:25:05.890 ⇒ 00:25:12.619 Annie Yu: chat, chat, gpt sensor is better so. I think I still like rely on chat, gpt more than.
298 00:25:13.140 ⇒ 00:25:20.990 Uttam Kumaran: Well, that’s what my hope is that because it’s code, cause it, it’s gonna be hard for for you to go into tableau and say, make this a bar graph right?
299 00:25:21.900 ⇒ 00:25:24.309 Uttam Kumaran: There’s no way they release AI feature.
300 00:25:24.470 ⇒ 00:25:34.040 Uttam Kumaran: The thing that I I want is like because it’s code. Hopefully, you can go into cursor and say, Make this change, and if cursor has a documentation for real, it can go. Do that.
301 00:25:34.570 ⇒ 00:25:37.699 Uttam Kumaran: That was my hope. When I decided to choose.
302 00:25:38.220 ⇒ 00:25:40.919 Uttam Kumaran: A bi tool that had a coding component was.
303 00:25:41.100 ⇒ 00:25:45.710 Uttam Kumaran: I was like one day. And this isn’t like 10 years ago. This is like, last year, I was like.
304 00:25:46.110 ⇒ 00:25:59.789 Uttam Kumaran: soon we’re gonna be able. All a lot of coding is gonna happen through cursor. So our bi tool should be code. Otherwise it’s gonna be like you have to keep dragging and dropping stuff, you know. That was my thought process.
305 00:26:02.920 ⇒ 00:26:03.910 Annie Yu: Yeah.
306 00:26:04.530 ⇒ 00:26:13.959 Annie Yu: then, then, what’s I guess if we are to like write code to build visuals like, what’s the point of using real compared to like
307 00:26:14.310 ⇒ 00:26:22.390 Annie Yu: cause. There’s also, like good respected packages from like Python and R. And I think I think I just don’t like know.
308 00:26:22.390 ⇒ 00:26:27.399 Uttam Kumaran: No reason. I mean, if you, if you want a vibe code like a like a dashboard, or something
309 00:26:27.560 ⇒ 00:26:32.740 Uttam Kumaran: using p. 5 or d. 3. Go ahead. I don’t mind.
310 00:26:35.520 ⇒ 00:26:41.640 Uttam Kumaran: I just want the customer to be happy, and for us to be happy. So I it’s like for me the tool I’m like I care.
311 00:26:42.010 ⇒ 00:26:43.900 Uttam Kumaran: I care less about the tool.
312 00:26:44.210 ⇒ 00:26:47.070 Uttam Kumaran: But there just are few, only few tools, right? Like
313 00:26:47.630 ⇒ 00:26:52.799 Uttam Kumaran: even that other tool I sent evidence. The language is very hard, but the tool is beautiful.
314 00:26:53.050 ⇒ 00:26:53.860 Annie Yu: That’s.
315 00:26:53.860 ⇒ 00:26:55.189 Uttam Kumaran: That’s difficult, you know.
316 00:26:55.620 ⇒ 00:26:57.319 Annie Yu: Yeah, yeah.
317 00:26:57.320 ⇒ 00:27:00.619 Uttam Kumaran: Like if you go to New York Times and stuff, those visuals are great.
318 00:27:01.320 ⇒ 00:27:07.410 Uttam Kumaran: right? But they like it takes a lot of development time to do that. How do I? How do we give that experience to our customers?
319 00:27:08.720 ⇒ 00:27:14.180 Uttam Kumaran: I felt like cause cause, you know, tableau like out of the box doing comparisons like this.
320 00:27:15.040 ⇒ 00:27:22.690 Uttam Kumaran: It’s not as easy, and so I don’t know. For me, I thought, like, this is a much.
321 00:27:23.910 ⇒ 00:27:29.360 Uttam Kumaran: This is just out of all the evils. This is like the the easiest one.
322 00:27:36.140 ⇒ 00:27:42.619 Annie Yu: Yeah, yeah, I’m I’m fine with it. And yeah, I think in terms of
323 00:27:43.500 ⇒ 00:27:45.439 Annie Yu: like tableau. I feel like.
324 00:27:46.170 ⇒ 00:27:51.949 Annie Yu: like I have my personal experience with tableau. I know how powerful it is, and I think
325 00:27:52.250 ⇒ 00:27:58.579 Annie Yu: but that’s like, I guess, like you to your point to more. So like self. Serve
326 00:28:00.610 ⇒ 00:28:06.629 Annie Yu: dashboards, and more like when we have tons of data to compare.
327 00:28:10.720 ⇒ 00:28:14.729 Uttam Kumaran: Yeah, I just want, I just want to even show you something that we’re working on.
328 00:28:15.910 ⇒ 00:28:17.880 Uttam Kumaran: Let me even find it.
329 00:28:23.390 ⇒ 00:28:25.049 Uttam Kumaran: We’re I’m working on this.
330 00:28:25.600 ⇒ 00:28:27.399 Uttam Kumaran: Put in front of our clients.
331 00:28:28.270 ⇒ 00:28:30.369 Uttam Kumaran: which is like our like scorecard
332 00:28:31.712 ⇒ 00:28:36.229 Uttam Kumaran: tableau’s X, so we can change it. I gotta get. I was gonna get everyone’s feedback.
333 00:28:36.390 ⇒ 00:28:41.559 Uttam Kumaran: But like, this is what I wanted to show people, which is like, it depends what you want, you know.
334 00:28:42.950 ⇒ 00:28:46.890 Uttam Kumaran: I mean, I want the. I don’t want people use Meta base. I don’t want people to use power bi
335 00:28:47.940 ⇒ 00:28:51.429 Uttam Kumaran: tableau. I kind of don’t want people to use, but fine.
336 00:28:51.810 ⇒ 00:28:54.659 Uttam Kumaran: It’s like they can debate that.
337 00:28:55.170 ⇒ 00:28:55.670 Annie Yu: But like.
338 00:28:55.870 ⇒ 00:29:00.950 Uttam Kumaran: I. This is where I want to give the customers thing where it’s like. Look, if you’re optimizing for cost.
339 00:29:01.310 ⇒ 00:29:06.450 Uttam Kumaran: we have an answer for optimizing, for scalability, then that you shouldn’t use real.
340 00:29:11.690 ⇒ 00:29:18.160 Uttam Kumaran: And then we should think about hey? When we have the when we make a decision for clients like. Ha! What’s our criteria? You know?
341 00:29:30.190 ⇒ 00:29:33.860 Annie Yu: Yeah, I’m gonna see how like real
342 00:29:35.350 ⇒ 00:29:43.160 Annie Yu: like develops like evolves over time. I think right now, they are just so inflexible in so many ways.
343 00:29:43.530 ⇒ 00:29:47.099 Uttam Kumaran: Yeah, you should. Even you know what you should even call Roy.
344 00:29:48.970 ⇒ 00:29:51.813 Annie Yu: I don’t even know where to start.
345 00:29:52.220 ⇒ 00:29:54.390 Uttam Kumaran: But I actually think like, this is where
346 00:29:56.470 ⇒ 00:29:59.469 Uttam Kumaran: the data world is very small, like.
347 00:29:59.970 ⇒ 00:30:06.410 Uttam Kumaran: I mean, we could go talk to people at Omni. If you want, I think your feedback is actually very helpful. You’ll be surprised. They will make some of those changes.
348 00:30:07.600 ⇒ 00:30:13.610 Uttam Kumaran: They don’t have many customers that are actually giving them a lot of feedback. They have to kind of beg for feedback.
349 00:30:13.980 ⇒ 00:30:15.160 Uttam Kumaran: And so
350 00:30:15.360 ⇒ 00:30:25.330 Uttam Kumaran: I think, if you if you’re like, Hey, you guys are just like a couple of key decisions away from making this way better you should share that with them. You should call Roy and be like yo, this is what we need. They’ll go do it. It’s like
351 00:30:25.560 ⇒ 00:30:34.430 Uttam Kumaran: you don’t go to Mcdonald’s order something, and then you’re like I asked for no pickles, and then you like what you know. So when we bought, we’re paying these guys or customers are paying them so
352 00:30:35.670 ⇒ 00:30:41.340 Uttam Kumaran: you can ask for what you want. It’s. I just think a lot of people because it’s software. You sort of think like it is what it is.
353 00:30:41.440 ⇒ 00:30:48.520 Uttam Kumaran: It’s like, no, like, I want this thing like, Go make me this thing we’re paying for it.
354 00:30:48.650 ⇒ 00:30:57.410 Annie Yu: I. But then, like the last time I think they they were trying to say what they were trying to say was like, we’re gonna
355 00:30:57.520 ⇒ 00:31:01.859 Annie Yu: enable you to write your own code to customize
356 00:31:01.980 ⇒ 00:31:09.810 Annie Yu: some some things and on some level, I think that’s fine, for like more advanced stuff. But I think there are some pretty basic
357 00:31:10.520 ⇒ 00:31:18.599 Annie Yu: stuff that are like not customizable. And I don’t wanna have to write code for even those things.
358 00:31:19.770 ⇒ 00:31:21.839 Uttam Kumaran: Yeah, I think even for those, though, like
359 00:31:22.120 ⇒ 00:31:24.119 Uttam Kumaran: when we 1st started working with Rel
360 00:31:24.720 ⇒ 00:31:27.719 Uttam Kumaran: more than a year ago, they didn’t have any canvas.
361 00:31:29.710 ⇒ 00:31:31.050 Uttam Kumaran: And they didn’t want to build it.
362 00:31:31.400 ⇒ 00:31:34.499 Uttam Kumaran: and then they did so. Their mind will change, you know.
363 00:31:34.500 ⇒ 00:31:35.290 Annie Yu: Yeah.
364 00:31:35.710 ⇒ 00:31:40.799 Uttam Kumaran: Ultimately they’re making a decision. If they don’t do that right. Customers are not gonna adopt their platform.
365 00:31:41.860 ⇒ 00:31:43.599 Uttam Kumaran: So you know.
366 00:31:44.030 ⇒ 00:31:45.490 Annie Yu: Yeah, but.
367 00:31:45.965 ⇒ 00:31:46.440 Uttam Kumaran: Yeah.
368 00:31:46.440 ⇒ 00:31:55.750 Annie Yu: Are you recommending customers not to use tableau? Is that? Is that what the actual.
369 00:31:55.750 ⇒ 00:31:57.900 Uttam Kumaran: I I mean at at this moment.
370 00:31:58.050 ⇒ 00:32:02.460 Uttam Kumaran: like, Yeah, but this is where, like, I’m open to feedback, like.
371 00:32:02.990 ⇒ 00:32:08.400 Uttam Kumaran: I want our team to have a consensus like not just me, cause I like.
372 00:32:08.530 ⇒ 00:32:12.429 Uttam Kumaran: I don’t recommend tableau, because there are other options that are
373 00:32:13.020 ⇒ 00:32:18.840 Uttam Kumaran: for me, I think easier for everybody like sigma like omni
374 00:32:21.610 ⇒ 00:32:25.799 Uttam Kumaran: But this is where again, like some customers, they have tableau. They don’t let us decide.
375 00:32:27.130 ⇒ 00:32:32.959 Uttam Kumaran: But if you’re like, Hey, I disagree. We should recommend it, and we should change it.
376 00:32:33.550 ⇒ 00:32:34.829 Uttam Kumaran: we should recommend it.
377 00:32:37.210 ⇒ 00:32:43.500 Annie Yu: Yeah, well, I’m I am. I’m always voting for tableau, I wanna say, but I.
378 00:32:43.500 ⇒ 00:32:50.510 Uttam Kumaran: Can you send? Can you send me a couple of like good tableau cloud? Demos, that you like that actually look good.
379 00:32:51.680 ⇒ 00:32:54.590 Uttam Kumaran: Okay, because.
380 00:32:54.590 ⇒ 00:33:21.239 Annie Yu: Find something, but I think for me, tableau is super flexible. We can do so many things, and I think but I think that only comes down to if you are experienced in tableau, you know, you can work around some things. But I think even recently was Eden. I’ve done some things that I’ve never done before. But I I was not surprised that tableau could do that. But I I would. I wouldn’t say
381 00:33:21.430 ⇒ 00:33:24.769 Annie Yu: I like I doubt other tools can do the same thing.
382 00:33:27.120 ⇒ 00:33:36.510 Uttam Kumaran: I mean, that’s it. And that’s the pitch right like this. This. The way I think about it, too, is like, Look, we’re not gonna be able to find great real developers. Right? So
383 00:33:37.470 ⇒ 00:33:42.709 Uttam Kumaran: it’s we’re gonna be looking for people who have done tableau. So maybe we do pick tableau and stick with it. I don’t know.
384 00:33:44.030 ⇒ 00:33:54.709 Annie Yu: Yeah, I, yeah, I I would love to like, I guess, also, like here Robert’s thoughts, because I feel like he’s been working with tableau for a while like I never really know how he feels about it. But
385 00:33:56.440 ⇒ 00:34:03.800 Annie Yu: think, looking at our recent work, he would. I I’m gonna say he would agree that tableau.
386 00:34:03.800 ⇒ 00:34:09.940 Uttam Kumaran: No, no, the Eden stuff looks great. I mean, the Eden stuff looks great, and it’s a lot better than when we bought on tableau.
387 00:34:10.219 ⇒ 00:34:12.130 Uttam Kumaran: It looks really, really good. Now
388 00:34:13.610 ⇒ 00:34:24.979 Uttam Kumaran: I’m I’m open on. My my mind is open. I just want you to like, can you just send me something? Can you send me something advanced in tableau that would make me like open my eyes and be like Whoa! I didn’t know.
389 00:34:25.099 ⇒ 00:34:30.029 Annie Yu: Sure I’m gonna probably like brainstorm with Robert, too, and like
390 00:34:30.429 ⇒ 00:34:33.209 Annie Yu: curious to hear what he thinks too.
391 00:34:33.980 ⇒ 00:34:35.080 Uttam Kumaran: Okay, yeah, cool.
392 00:34:35.991 ⇒ 00:34:37.799 Uttam Kumaran: Cause I’m open to it. But
393 00:34:38.120 ⇒ 00:34:41.850 Uttam Kumaran: I use. I used to. I would I did tableau development for 2 years
394 00:34:42.449 ⇒ 00:34:47.760 Uttam Kumaran: brutal. But this is again, this is in 2020. This is like 2018, 2019. So
395 00:34:48.560 ⇒ 00:34:50.469 Uttam Kumaran: I know it’s changed a lot. But.
396 00:34:51.670 ⇒ 00:34:59.910 Annie Yu: Yeah. Well, yeah, I’ll keep this in mind of, and embrace dropped.
397 00:35:00.250 ⇒ 00:35:01.030 Annie Yu: I just want.
398 00:35:01.030 ⇒ 00:35:01.550 Uttam Kumaran: Make sure.
399 00:35:01.550 ⇒ 00:35:03.285 Annie Yu: Now the next steps.
400 00:35:04.012 ⇒ 00:35:09.859 Uttam Kumaran: Yeah, I think she’ll probably send you. I think she she’s gonna she has probably her notes on dashboard fixes.
401 00:35:09.860 ⇒ 00:35:11.010 Annie Yu: Yeah, okay.
402 00:35:11.275 ⇒ 00:35:13.400 Uttam Kumaran: If you can tag me in the ticket.
403 00:35:13.600 ⇒ 00:35:17.889 Uttam Kumaran: or there was something on participant or user, I can take a look.
404 00:35:18.130 ⇒ 00:35:24.390 Uttam Kumaran: And then, yeah, we’re gonna kick off the Dbt certification process. So I think it’s part of that. We can move some of these models to Dbt.
405 00:35:25.090 ⇒ 00:35:26.840 Annie Yu: Okay, that’s amazing.
406 00:35:28.260 ⇒ 00:35:30.000 Uttam Kumaran: Okay, how’s everything else.
407 00:35:30.000 ⇒ 00:35:30.550 Annie Yu: Thanks.
408 00:35:31.115 ⇒ 00:35:32.734 Annie Yu: Not too bad. I
409 00:35:33.290 ⇒ 00:35:37.349 Annie Yu: I’m actually gonna host. Tomorrow’s meeting, which I’m gonna.
410 00:35:37.350 ⇒ 00:35:37.810 Uttam Kumaran: Hi!
411 00:35:38.370 ⇒ 00:35:38.939 Uttam Kumaran: Let’s go!
412 00:35:38.940 ⇒ 00:35:48.970 Annie Yu: Set aside some time. But I asked Hannah like, because I know in the past 2 weeks the laugh shares were like super.
413 00:35:49.490 ⇒ 00:35:50.770 Uttam Kumaran: Not education.
414 00:35:50.770 ⇒ 00:35:57.593 Annie Yu: No, but also like productive. So I asked him, like, Is it okay? If I go with the more like light hearted topic.
415 00:35:57.890 ⇒ 00:35:59.720 Uttam Kumaran: Yes, 100%.
416 00:35:59.880 ⇒ 00:36:04.727 Annie Yu: And she said, Yes, I think she said like, that’s what that’s actually what we want.
417 00:36:05.726 ⇒ 00:36:07.080 Uttam Kumaran: Cause, I.
418 00:36:07.080 ⇒ 00:36:11.345 Annie Yu: I feel like I’m not gonna like share, like like self help books or.
419 00:36:13.890 ⇒ 00:36:18.220 Uttam Kumaran: And that’s how to tie your shoes, one on one or something like that, like, yeah.
420 00:36:21.070 ⇒ 00:36:24.029 Uttam Kumaran: that’s great. What’s the what’s the sneak? Peek?
421 00:36:24.210 ⇒ 00:36:25.410 Uttam Kumaran: What’s the topic.
422 00:36:26.968 ⇒ 00:36:29.260 Annie Yu: What the laugh share, or.
423 00:36:29.260 ⇒ 00:36:30.760 Uttam Kumaran: Yeah. Well, okay.
424 00:36:30.760 ⇒ 00:36:39.500 Annie Yu: I’m gonna share some fun facts about my like favorite animal, which I don’t think many people have seen or like, known too much about.
425 00:36:39.660 ⇒ 00:36:40.559 Uttam Kumaran: Wow. Okay.
426 00:36:40.560 ⇒ 00:36:44.287 Annie Yu: It’s still gonna be educational. But fun.
427 00:36:45.140 ⇒ 00:36:50.770 Uttam Kumaran: Yeah, I don’t even think it needs to be educational. It just needs to be fun. That’s why I told Amber and Hannah I was like
428 00:36:51.160 ⇒ 00:36:58.459 Uttam Kumaran: these need to be way. More fun they’re getting. I just like want people to feel more active and like.
429 00:36:59.040 ⇒ 00:37:01.350 Uttam Kumaran: I don’t know. It’s a good energy on Friday.
430 00:37:01.720 ⇒ 00:37:04.540 Uttam Kumaran: and this week has been really, really good. So.
431 00:37:05.040 ⇒ 00:37:09.840 Annie Yu: Nice. Oh, on that note do! Should I expect
432 00:37:10.310 ⇒ 00:37:15.560 Annie Yu: someone like you to edit some of the slides like those health check.
433 00:37:16.540 ⇒ 00:37:19.900 Uttam Kumaran: Yes, I will. Usually I will usually get a ping
434 00:37:20.690 ⇒ 00:37:24.630 Uttam Kumaran: sometime in the next 2 h to edit it before tomorrow. But
435 00:37:25.030 ⇒ 00:37:29.594 Uttam Kumaran: yes, I will. Can you just comment me in one of those, and I’ll I’ll
436 00:37:30.470 ⇒ 00:37:32.730 Uttam Kumaran: I have some slides actually, this week to share.
437 00:37:33.220 ⇒ 00:37:33.650 Annie Yu: Okay.
438 00:37:33.650 ⇒ 00:37:34.960 Uttam Kumaran: Like 1, 1 or 2.
439 00:37:35.700 ⇒ 00:37:39.550 Annie Yu: Oh, so you would insert them. Right? Okay, I
440 00:37:39.670 ⇒ 00:37:48.350 Annie Yu: yeah, I just cop. I just created a copy earlier. And I haven’t edited anything, so I will.
441 00:37:52.670 ⇒ 00:37:54.949 Annie Yu: You mean at you in the slight.
442 00:37:55.430 ⇒ 00:37:58.570 Uttam Kumaran: Yes, that way. It sends me an email.
443 00:37:58.770 ⇒ 00:38:06.529 Annie Yu: Okay, what about the stretch opportunities? Is that something that like, am I expected to.
444 00:38:07.860 ⇒ 00:38:10.738 Uttam Kumaran: No, I’ll I’ll I’ll keep that up to date. We’ll keep
445 00:38:11.430 ⇒ 00:38:14.239 Annie Yu: Yeah, I think either Amber and myself
446 00:38:15.240 ⇒ 00:38:17.269 Uttam Kumaran: You just focus on the.
447 00:38:17.270 ⇒ 00:38:18.523 Annie Yu: Demos and
448 00:38:19.150 ⇒ 00:38:20.880 Uttam Kumaran: And just moving the thing forward like
449 00:38:21.680 ⇒ 00:38:26.669 Uttam Kumaran: making sure we we just finish on time. Or, Yeah, are they doing like a breakout room thing.
450 00:38:28.700 ⇒ 00:38:30.609 Annie Yu: Mean for for icebreaker.
451 00:38:30.820 ⇒ 00:38:31.460 Uttam Kumaran: Yeah.
452 00:38:33.110 ⇒ 00:38:36.659 Annie Yu: Oh, is that up to me? I I saw. Okay, I saw
453 00:38:37.270 ⇒ 00:38:42.230 Annie Yu: breakout room is like a default setting that we will always go for.
454 00:38:42.230 ⇒ 00:38:46.759 Uttam Kumaran: I know we didn’t do last week, but I would like to do break. I didn’t get to do a breakout room the 1st time.
455 00:38:48.347 ⇒ 00:38:53.360 Annie Yu: What’s what’s your thought? I guess breakout room will be better.
456 00:38:53.360 ⇒ 00:38:57.069 Uttam Kumaran: I kind of liked it right? Because I don’t know. I feel like it’s kinda nice.
457 00:38:57.410 ⇒ 00:38:59.690 Annie Yu: But is that, like randomly assigned.
458 00:39:00.440 ⇒ 00:39:02.109 Uttam Kumaran: I think Hannah manages it.
459 00:39:02.110 ⇒ 00:39:02.710 Annie Yu: Oh, okay.
460 00:39:02.710 ⇒ 00:39:05.830 Uttam Kumaran: I would just ping her and be like, are you taking? Are you doing this because
461 00:39:06.660 ⇒ 00:39:08.929 Uttam Kumaran: she’s probably just working on stuff.
462 00:39:09.270 ⇒ 00:39:12.790 Annie Yu: Okay, okay, that that’s helpful. Yeah, I will.
463 00:39:13.450 ⇒ 00:39:16.614 Annie Yu: I’ll ping her but I might not.
464 00:39:17.140 ⇒ 00:39:25.919 Annie Yu: I still got some things to get done. So I I this probably is probably like, gonna be later in the day.
465 00:39:26.120 ⇒ 00:39:27.870 Uttam Kumaran: Okay. Okay. No. Problem.
466 00:39:29.240 ⇒ 00:39:31.700 Annie Yu: Yeah, sounds good.
467 00:39:31.990 ⇒ 00:39:32.510 Uttam Kumaran: Okay.
468 00:39:32.840 ⇒ 00:39:34.888 Annie Yu: And while I still have you.
469 00:39:35.230 ⇒ 00:39:35.860 Uttam Kumaran: Yeah.
470 00:39:35.860 ⇒ 00:39:41.590 Annie Yu: I I am gonna be taking like 5 days off toward the end of June.
471 00:39:42.070 ⇒ 00:39:42.650 Annie Yu: So.
472 00:39:42.650 ⇒ 00:39:43.710 Uttam Kumaran: Hey! Where are you going.
473 00:39:44.399 ⇒ 00:39:46.740 Annie Yu: Thought I told you this. I’m going to.
474 00:39:46.740 ⇒ 00:39:48.939 Uttam Kumaran: You. Probably you probably did, but I’ve
475 00:39:49.150 ⇒ 00:39:51.240 Uttam Kumaran: just have no memory these days.
476 00:39:51.655 ⇒ 00:39:53.734 Annie Yu: Yeah, I’m going to Spain.
477 00:39:54.410 ⇒ 00:39:55.449 Uttam Kumaran: Yeah. Yeah. Yeah. Yeah.
478 00:39:56.015 ⇒ 00:39:56.580 Annie Yu: Yeah.
479 00:39:57.320 ⇒ 00:40:03.100 Annie Yu: So I’m gonna yeah, I just feel like, not many people have
480 00:40:03.340 ⇒ 00:40:09.509 Annie Yu: taken like more than one or 2 days off. So I wanna give you a heads up.
481 00:40:10.620 ⇒ 00:40:22.469 Uttam Kumaran: Yeah, no, that’s totally fine. I’m thanks for like giving us advance notice. And I think when we get probably like 2 weeks out from it. We’ll we’ll plan like contingency. I don’t. I don’t have much worry for ABC.
482 00:40:22.905 ⇒ 00:40:26.154 Uttam Kumaran: I think the biggest, bigger worry is just for Eden stuff.
483 00:40:26.450 ⇒ 00:40:31.530 Annie Yu: I already asked Robert to to kind of cover. Be my, if anything.
484 00:40:31.790 ⇒ 00:40:32.849 Uttam Kumaran: Okay. Okay.
485 00:40:34.430 ⇒ 00:40:35.160 Annie Yu: Nice.
486 00:40:35.940 ⇒ 00:40:36.860 Annie Yu: Okay?
487 00:40:37.810 ⇒ 00:40:40.837 Annie Yu: Oh, it’s nice talking to you.
488 00:40:41.320 ⇒ 00:40:43.449 Uttam Kumaran: I know I’ll talk to you tomorrow. Thanks for hosting.
489 00:40:43.450 ⇒ 00:40:46.250 Annie Yu: Yeah, we’ll talk soon. Bye. Utam.