Meeting Title: Zoom Meeting Date: 2025-06-06 Meeting participants: Luke Daque, Uttam Kumaran


WEBVTT

1 00:00:22.270 00:00:23.190 Luke Daque: Hello!

2 00:00:23.600 00:00:24.470 Uttam Kumaran: Hey!

3 00:00:25.110 00:00:26.469 Luke Daque: Hey, Tom, how’s it going.

4 00:00:26.690 00:00:28.079 Uttam Kumaran: Good dude. How are you?

5 00:00:28.830 00:00:30.720 Luke Daque: Yeah, doing? Well, just got home.

6 00:00:32.060 00:00:38.509 Luke Daque: Yeah, yeah. It was my son’s graduation today. So no way the family? He asked.

7 00:00:38.510 00:00:39.120 Uttam Kumaran: Cool.

8 00:00:39.880 00:00:44.299 Luke Daque: No elementary. So he’s going to high school next school year.

9 00:00:44.800 00:00:47.429 Uttam Kumaran: Oh, nice. Yeah. You don’t have middle school there.

10 00:00:48.973 00:00:55.689 Luke Daque: I think it’s like middle school and high school are like, essentially the same here, I think, yeah, yeah.

11 00:00:56.700 00:01:05.470 Uttam Kumaran: That’s yeah. I think here the high school is like 8 through 12, 8.

12 00:01:05.470 00:01:06.250 Luke Daque: Oh!

13 00:01:06.390 00:01:08.800 Uttam Kumaran: 8th grade to or wait.

14 00:01:09.050 00:01:10.780 Uttam Kumaran: 9, 1011, 12.

15 00:01:11.840 00:01:13.424 Luke Daque: Yeah. So yeah, that’s

16 00:01:15.630 00:01:21.260 Luke Daque: yeah. About the same. I guess he’s going 18th grade. So that’s like, middle school. Okay? I guess.

17 00:01:21.520 00:01:22.430 Uttam Kumaran: Hmm.

18 00:01:23.390 00:01:24.120 Luke Daque: Yes.

19 00:01:27.290 00:01:28.970 Uttam Kumaran: Nice? How’s everything? Dude?

20 00:01:30.200 00:01:32.910 Luke Daque: Yeah, everything’s good so far. How about you?

21 00:01:36.250 00:01:41.490 Luke Daque: Pretty busy lately with all the impressions going on.

22 00:01:42.190 00:01:43.930 Luke Daque: which is pretty great, pretty nice.

23 00:01:43.930 00:01:52.384 Uttam Kumaran: Yeah, it’s Linkedin is going is getting, you know, a lot better. And

24 00:01:53.970 00:01:59.009 Uttam Kumaran: yeah, I just think sales are getting better like, we’re just trying a bunch of different things. So

25 00:01:59.700 00:02:03.166 Uttam Kumaran: it’s a it’s good. I think.

26 00:02:03.590 00:02:04.100 Luke Daque: Meeting.

27 00:02:04.100 00:02:10.280 Uttam Kumaran: It’s it’s starting to get a lot better. So I’m glad. And I think our team is settled now, you know. So.

28 00:02:13.110 00:02:14.180 Luke Daque: Nice. Yeah.

29 00:02:15.370 00:02:16.429 Uttam Kumaran: What do you think?

30 00:02:17.170 00:02:18.979 Luke Daque: Yeah, I agree. Like.

31 00:02:19.620 00:02:26.069 Luke Daque: like each of the like, Major, I don’t know, like groups like the data teams getting

32 00:02:26.745 00:02:32.080 Luke Daque: like closer because of, like the syncs and and data platform meetings that we have.

33 00:02:32.210 00:02:40.910 Luke Daque: like the AI teams like, been crushing it all the time. So yeah, it’s pretty nice to see that. And like, of course, like the marketing, like Ryan’s, been

34 00:02:41.220 00:02:47.539 Luke Daque: pretty great with what he’s doing as well. So yeah, it’s pretty looking good so far.

35 00:02:48.130 00:02:48.920 Uttam Kumaran: Thanks.

36 00:02:50.030 00:02:53.260 Uttam Kumaran: Nice! How’s how’s it been on

37 00:02:53.440 00:03:01.979 Uttam Kumaran: matter more? And like what I I you know I took a look at like your tickets, and I think you still have some, probably some bandwidth. But how’s it been going overall.

38 00:03:03.350 00:03:07.199 Luke Daque: Yeah, pretty much bandwidth. Not so much going on with

39 00:03:07.370 00:03:15.189 Luke Daque: full parts. And, ma matter more like matter more like we we. I guess we all have a similar sentiment where, like

40 00:03:15.410 00:03:22.200 Luke Daque: the clients, not really sure what they want for something like we’re providing them with stuff. But like

41 00:03:22.770 00:03:27.490 Luke Daque: like the synthetic data and like generic analysis that Annie is doing.

42 00:03:28.382 00:03:30.129 Luke Daque: But yeah, like.

43 00:03:30.600 00:03:35.879 Luke Daque: and for pool parts, I think they’re more focused on the AI stuff going on right now.

44 00:03:36.150 00:03:38.779 Luke Daque: although I did have some fixes with

45 00:03:39.480 00:03:47.000 Luke Daque: the real dashboard, for instance, I just reverted the default settings, because, like Kim’s not very I I

46 00:03:47.150 00:03:50.530 Luke Daque: I would say maybe Kim’s not very

47 00:03:52.910 00:03:53.859 Luke Daque: I don’t know.

48 00:03:53.860 00:03:55.100 Uttam Kumaran: Trained on real.

49 00:03:55.100 00:04:12.300 Luke Daque: Yeah, I think so. Yeah, cause like it defaults weekly view. And like, she’s saying, like, the data is not up to date. But actually, it’s actually up to date. If she goes to the Daily View something like that, because the weekly view would show the last Monday or something the the most recent Monday.

50 00:04:13.313 00:04:16.810 Luke Daque: But yeah, this stuff like that basically.

51 00:04:18.450 00:04:19.729 Uttam Kumaran: So, yeah, yes.

52 00:04:21.209 00:04:25.362 Uttam Kumaran: Okay, cool. Yeah. We yeah. We have a couple of other

53 00:04:27.469 00:04:29.887 Uttam Kumaran: we have a couple of other

54 00:04:31.779 00:04:36.359 Uttam Kumaran: clients that are coming up that I think you’ll be. You’ll be working on so.

55 00:04:38.130 00:04:40.150 Luke Daque: Cool. Yeah, that’s great.

56 00:04:40.900 00:04:41.780 Uttam Kumaran: Yeah.

57 00:04:43.020 00:04:45.070 Luke Daque: Are they like new with my clients.

58 00:04:45.720 00:04:50.140 Uttam Kumaran: Yeah, they’re they’re new. They just started out really small. And so they’re growing right now.

59 00:04:50.850 00:04:51.860 Luke Daque: Oh, nice!

60 00:05:01.070 00:05:03.452 Uttam Kumaran: So, yeah, I mean, that’s the main thing.

61 00:05:05.970 00:05:12.380 Uttam Kumaran: I guess I wanted to also ask. So I had a conversation with matter more. And yeah, I think things are gonna be back on track. Actually.

62 00:05:13.850 00:05:14.680 Luke Daque: Nice.

63 00:05:14.930 00:05:17.030 Uttam Kumaran: So we talked to them yesterday.

64 00:05:20.160 00:05:27.950 Luke Daque: You had a call with them. You did mention earlier that to to check like the recording right? So let me see.

65 00:05:28.310 00:05:31.209 Luke Daque: I don’t know if I can access this recording

66 00:05:31.830 00:05:33.960 Luke Daque: because I wasn’t in the call.

67 00:05:35.130 00:05:36.530 Luke Daque: This is in zoom.

68 00:05:40.920 00:05:41.560 Luke Daque: Or.

69 00:05:41.560 00:05:45.239 Uttam Kumaran: Yes, there is a zoom. You can actually probably watch. You can watch a zoom for sure.

70 00:05:47.980 00:05:49.300 Luke Daque: Yeah, I’ll check that out.

71 00:05:49.780 00:05:50.550 Uttam Kumaran: Yeah.

72 00:05:51.420 00:05:55.366 Uttam Kumaran: And then I was gonna try to see if I can get something to them.

73 00:05:57.760 00:06:07.130 Uttam Kumaran: you know, this this morning, like, in terms of the data platform. So I guess I was gonna ask, like, how progress is there? Maybe you can show me whatever we have so far.

74 00:06:08.910 00:06:10.118 Luke Daque: You mean for Mathermore?

75 00:06:10.420 00:06:11.920 Uttam Kumaran: Yeah, for a matter more.

76 00:06:15.660 00:06:22.110 Luke Daque: I don’t know what we need to like. Maybe set up the their Dvt. Or something like that.

77 00:06:22.390 00:06:25.920 Luke Daque: No, no, for for the data platform documentation.

78 00:06:26.560 00:06:29.550 Luke Daque: Oh, data platform. Yeah, I I did send out

79 00:06:30.940 00:06:37.199 Luke Daque: the template that we have, although like it’s almost all blank at the moment, because we don’t have the sources.

80 00:06:37.430 00:06:41.940 Luke Daque: and I believe Atlantic just added these core metrics and lineage

81 00:06:44.020 00:06:50.660 Luke Daque: stuff. But I think these are all all the generic stuff that we felt about

82 00:06:51.658 00:06:53.819 Luke Daque: and then, of course, we can like

83 00:06:54.690 00:06:58.810 Luke Daque: add more here, based on like what the business really needs.

84 00:06:59.640 00:07:04.249 Uttam Kumaran: Yeah. So I think I may have one other one here.

85 00:07:08.490 00:07:11.076 Uttam Kumaran: so can we make sure that this has

86 00:07:15.150 00:07:16.520 Uttam Kumaran: copy this?

87 00:07:20.530 00:07:24.520 Uttam Kumaran: I don’t even know how to copy that like a picture.

88 00:07:36.200 00:07:38.170 Uttam Kumaran: I’ll send it to you on slack.

89 00:07:39.130 00:07:39.770 Luke Daque: Sure.

90 00:07:59.200 00:08:02.069 Uttam Kumaran: This is from the document that he sent yesterday.

91 00:08:02.190 00:08:07.710 Uttam Kumaran: So I just wanna make sure that maybe you can throw this into Chat Gbt, and then, just

92 00:08:08.590 00:08:13.239 Uttam Kumaran: like, fill out these metrics and make sure that they have these dimensions, which is like

93 00:08:13.490 00:08:17.410 Uttam Kumaran: the metric family category, subcategory, atomic, metric.

94 00:08:17.590 00:08:20.390 Uttam Kumaran: And then we have all those different, like dimensions.

95 00:08:21.500 00:08:22.320 Luke Daque: Okay.

96 00:08:27.340 00:08:29.869 Luke Daque: So we don’t. We currently don’t have this right?

97 00:08:31.090 00:08:32.630 Luke Daque: So we need to.

98 00:08:34.309 00:08:40.049 Uttam Kumaran: Yeah, I think if you throw it into Chat, Gpt, though, you can just like generate whatever we need for that.

99 00:08:41.730 00:08:42.520 Luke Daque: Okay.

100 00:08:42.830 00:08:43.650 Uttam Kumaran: Like, I just.

101 00:08:43.659 00:08:43.989 Luke Daque: I just.

102 00:08:43.990 00:08:46.949 Uttam Kumaran: Want to make sure those met. Those metrics are

103 00:08:48.080 00:08:53.470 Uttam Kumaran: the metrics that he mentioned in like primary secondary tertiary. Further.

104 00:08:54.800 00:08:55.730 Luke Daque: Yeah.

105 00:08:55.730 00:08:58.060 Uttam Kumaran: Are all are all there.

106 00:09:02.290 00:09:09.539 Luke Daque: Okay? And I’ll have to make this for each of the core metrics that we have

107 00:09:09.650 00:09:14.600 Luke Daque: here at the moment, right? Like emails, meetings, messages.

108 00:09:15.780 00:09:16.400 Uttam Kumaran: Yes.

109 00:09:16.400 00:09:17.140 Luke Daque: Like that.

110 00:09:17.470 00:09:26.490 Uttam Kumaran: Well, yeah, so again, ideally, we would have those per by those categories. Yeah, at minimum.

111 00:09:26.490 00:09:31.180 Luke Daque: Right? Yeah, yeah, yeah, okay, okay, sounds, good.

112 00:09:31.180 00:09:34.109 Uttam Kumaran: And then the other thing is, can we create a new sheet?

113 00:09:34.430 00:09:38.090 Uttam Kumaran: And then it’s sort of if you’re able to actually do like

114 00:09:42.490 00:09:52.850 Uttam Kumaran: like and then you can create a new Google table with validation that pulls in activity.

115 00:09:53.700 00:10:00.590 Uttam Kumaran: Actually, this is fine, maybe. Yeah. And maybe you could spend just like, yeah, 30 min or an hour on that. And then

116 00:10:01.550 00:10:05.680 Uttam Kumaran: I feel like, really, this is

117 00:10:06.740 00:10:09.000 Uttam Kumaran: what we’re trying to achieve here.

118 00:10:14.170 00:10:14.860 Luke Daque: Hmm.

119 00:10:20.590 00:10:24.370 Uttam Kumaran: And this spreadsheet is actually here. By the way, if you need it.

120 00:10:25.898 00:10:28.930 Luke Daque: Probably just copy some of it from here.

121 00:10:31.130 00:10:34.850 Uttam Kumaran: I mean ideally, we should consolidate these spreadsheets.

122 00:10:37.490 00:10:38.330 Luke Daque: Yeah.

123 00:10:48.540 00:10:52.510 Uttam Kumaran: So I would just bring all of these into the one spreadsheet. By the way.

124 00:10:54.400 00:10:55.599 Luke Daque: Yeah, makes sense.

125 00:10:57.450 00:11:01.439 Luke Daque: Okay, I’ll take a look at this and see what they can do here.

126 00:11:02.010 00:11:04.970 Uttam Kumaran: Okay, yeah, they have a meeting at 11.

127 00:11:05.190 00:11:08.290 Uttam Kumaran: So wondering if, like, maybe you can

128 00:11:08.640 00:11:15.019 Uttam Kumaran: touch base with me sometime, like next, like 30 min to an hour.

129 00:11:16.220 00:11:16.890 Luke Daque: Sure.

130 00:11:17.740 00:11:20.159 Uttam Kumaran: And maybe just let me know how far you get.

131 00:11:20.870 00:11:21.640 Luke Daque: Okay.

132 00:11:22.750 00:11:33.270 Uttam Kumaran: Okay, cool. And yeah, just slack me with with any anything you need me to check. And I can do it. So yeah, basically, and make sure the core metrics are here. You can add a column, for, like

133 00:11:34.625 00:11:37.769 Uttam Kumaran: the the atomic metric.

134 00:11:38.300 00:11:42.779 Uttam Kumaran: So for this the atomic metric would be like

135 00:11:47.410 00:11:51.960 Uttam Kumaran: would be email, right from.

136 00:11:51.960 00:11:52.330 Luke Daque: Email.

137 00:11:53.010 00:11:53.690 Uttam Kumaran: Yeah.

138 00:11:53.690 00:11:55.580 Luke Daque: And chat as well, which.

139 00:11:55.580 00:11:56.510 Uttam Kumaran: Yeah.

140 00:11:56.510 00:12:00.420 Luke Daque: Oh, yeah, yeah, for messages, I guess. Chat meetings.

141 00:12:04.340 00:12:06.200 Luke Daque: I don’t know this.

142 00:12:07.930 00:12:11.140 Luke Daque: Yeah, we will. I will add this here.

143 00:12:11.460 00:12:12.150 Uttam Kumaran: Okay.

144 00:12:18.010 00:12:18.600 Luke Daque: Cool.

145 00:12:19.290 00:12:21.580 Uttam Kumaran: Okay, that’s all I had.

146 00:12:23.720 00:12:27.999 Uttam Kumaran: Maybe I’m gonna set up some time to try to go through Meta playing with you next week. I think.

147 00:12:29.280 00:12:30.740 Luke Daque: Yeah, sure. Sounds good.

148 00:12:31.170 00:12:31.790 Uttam Kumaran: Okay.

149 00:12:32.590 00:12:35.160 Uttam Kumaran: Alright. Let me know how it goes.

150 00:12:36.270 00:12:37.520 Luke Daque: That’s good. Thanks, thanks for that.

151 00:12:37.520 00:12:38.300 Uttam Kumaran: Thank you. Dude.

152 00:12:38.702 00:12:39.910 Luke Daque: I slack you!

153 00:12:40.180 00:12:41.560 Uttam Kumaran: Alright, cool! Bye.