Meeting Title: Eden new EMR data strategy Date: 2025-06-13 Meeting participants: Awaish Kumar, Uttam Kumaran


WEBVTT

1 00:00:50.620 00:00:51.750 Uttam Kumaran: Hey! Wish!

2 00:00:56.630 00:00:57.889 Uttam Kumaran: Hey! How are you?

3 00:00:58.360 00:00:59.820 Awaish Kumar: I’m good. How about you?

4 00:01:00.890 00:01:03.490 Uttam Kumaran: Good just just heating up some lunch.

5 00:01:07.983 00:01:09.610 Awaish Kumar: What is.

6 00:01:11.280 00:01:12.619 Uttam Kumaran: For dinner. What did you have.

7 00:01:13.190 00:01:14.540 Awaish Kumar: Have sandwiches.

8 00:01:15.180 00:01:15.970 Uttam Kumaran: Nice.

9 00:01:19.796 00:01:21.629 Uttam Kumaran: I just have some pizza.

10 00:01:22.220 00:01:22.946 Awaish Kumar: I’m good.

11 00:01:25.480 00:01:26.510 Uttam Kumaran: Easy.

12 00:01:29.040 00:01:35.089 Awaish Kumar: All right here in Pakistan, like we. We mostly have us time visits.

13 00:01:36.140 00:01:37.609 Uttam Kumaran: Oh, nice. Okay.

14 00:01:38.090 00:01:45.455 Awaish Kumar: Like, and that’s the that’s what people eat here like. They they wouldn’t like. They tell anyone.

15 00:01:46.905 00:01:50.300 Uttam Kumaran: They don’t have, like Pakistani style, pizza.

16 00:01:52.010 00:02:02.020 Awaish Kumar: Yeah, like, now we can call it Pakistani style, but it’s like inspired by American pizzas. Good sir.

17 00:02:07.040 00:02:11.899 Awaish Kumar: Pizza, pizza hut was the one who introduced pizzas to us.

18 00:02:13.010 00:02:13.850 Uttam Kumaran: Hmm.

19 00:02:27.620 00:02:28.450 Uttam Kumaran: okay.

20 00:02:36.780 00:02:38.770 Uttam Kumaran: okay. Tell me how I can be helpful.

21 00:02:41.680 00:02:45.279 Awaish Kumar: So like, I think what

22 00:02:46.670 00:02:54.369 Awaish Kumar: they have a bus where they sell the products. And we basically all our analytics is based on

23 00:02:55.100 00:03:00.250 Awaish Kumar: data which is coming like sales data which is coming from pass or

24 00:03:01.050 00:03:11.830 Awaish Kumar: whatever they have patches around it like for having the product categories or product names, how they

25 00:03:15.810 00:03:18.579 Awaish Kumar: Youtube stuff, how they

26 00:03:18.790 00:03:32.699 Awaish Kumar: what to say, enhance the data which is coming from past. And then it moves to victory. So now they are moving to their own Emr, and in the new Emr, like, what we want is basically we continue to provide same

27 00:03:32.930 00:03:40.220 Awaish Kumar: analytical capabilities to them, even if they move their all of the I don’t know

28 00:03:42.004 00:03:49.029 Awaish Kumar: all of the the operation operations to the so.

29 00:03:49.640 00:03:50.240 Uttam Kumaran: Okay.

30 00:03:50.520 00:03:53.589 Awaish Kumar: So like like what I would like is like

31 00:03:53.740 00:04:03.880 Awaish Kumar: what I would like to need need help in the scenarios that how to approach that because I see like number, like, what I see is that number one thing is that

32 00:04:04.680 00:04:09.409 Awaish Kumar: boss provides some webhooks and using those web books, the data.

33 00:04:09.570 00:04:16.060 Awaish Kumar: It’s not a problem using the segment. We we we actually.

34 00:04:16.610 00:04:20.939 Awaish Kumar: we get the data from those web books. And then it stores in the big guy.

35 00:04:21.190 00:04:23.749 Awaish Kumar: how we are going to approach that like

36 00:04:24.700 00:04:28.069 Awaish Kumar: at the minimum. First, st like, the 1st pass could be.

37 00:04:28.270 00:04:33.200 Awaish Kumar: okay, let’s let’s build all the web books that that was provided.

38 00:04:33.200 00:04:34.060 Uttam Kumaran: Okay. Yeah.

39 00:04:34.060 00:04:34.610 Awaish Kumar: Right?

40 00:04:35.370 00:04:36.360 Awaish Kumar: So.

41 00:04:37.050 00:04:40.990 Awaish Kumar: But the second thing is the V bus.

42 00:04:41.300 00:04:44.816 Awaish Kumar: provided the data is

43 00:04:46.360 00:04:53.599 Awaish Kumar: is, is not like ideal like we. They don’t provide like the if, if a order has multiple products

44 00:04:53.960 00:04:59.039 Awaish Kumar: like we, we are not able to differentiate like order. And the order items thing.

45 00:04:59.040 00:04:59.700 Uttam Kumaran: Okay.

46 00:04:59.700 00:05:00.970 Awaish Kumar: In the past.

47 00:05:01.460 00:05:08.930 Awaish Kumar: So like an order is an order, and then all the products are like kind of category. So we can. We are not able to distinguish the revenue between those

48 00:05:09.250 00:05:12.279 Awaish Kumar: like the products in the in the same order.

49 00:05:12.890 00:05:30.649 Awaish Kumar: like so like we, what I’m thinking is that we get all the endpoints or all the web books which basically we use together, the data from past and all the fields which are utilizing. We create some kind of an ocean door

50 00:05:31.470 00:05:35.859 Awaish Kumar: like where we maybe document these things and then

51 00:05:36.040 00:05:38.759 Awaish Kumar: try to come up with the

52 00:05:39.040 00:05:45.900 Awaish Kumar: solutions like, okay, we we how we want it to be like, we have all this data in this format.

53 00:05:46.050 00:05:49.550 Awaish Kumar: And this is how we are using it. And now we want

54 00:05:49.850 00:06:00.810 Awaish Kumar: data in in another format like we have orders. But now we want an order, good item. And what? What are the fees which are required? Things like that? So we create a kind of a schema

55 00:06:01.140 00:06:09.649 Awaish Kumar: of what we need. So whenever they build their web hooks, they know, like, okay, I need to send those fees out to the data.

56 00:06:09.650 00:06:12.829 Uttam Kumaran: Yes, but is there any? There’s not. They’re not, gonna

57 00:06:13.020 00:06:17.589 Uttam Kumaran: they don’t. There’s no Api capabilities, because the web hook kind of sucks.

58 00:06:19.118 00:06:23.850 Awaish Kumar: And the problem with webbook like it, guys, is that like, we have to

59 00:06:24.070 00:06:26.649 Awaish Kumar: like how we then build a real time.

60 00:06:27.940 00:06:29.140 Uttam Kumaran: Oh, okay.

61 00:06:29.560 00:06:32.660 Awaish Kumar: Well, like, yeah, for the batch.

62 00:06:33.340 00:06:37.950 Awaish Kumar: Okay, like they need. If there is any order place

63 00:06:38.340 00:06:42.350 Awaish Kumar: they actually need needed in the system.

64 00:06:42.580 00:06:47.749 Awaish Kumar: I see. So either we have to run batch jobs like after after every

65 00:06:47.890 00:06:56.260 Awaish Kumar: hour, or maybe 30 min to keep up with with the momentum or second. Then is that.

66 00:06:57.150 00:06:57.760 Uttam Kumaran: Okay.

67 00:06:57.890 00:07:02.910 Awaish Kumar: Or or maybe they send events somehow, like, maybe

68 00:07:03.020 00:07:07.900 Awaish Kumar: send the events to some Kafka like some service.

69 00:07:09.690 00:07:17.889 Awaish Kumar: Okay, yeah, that’s like, but I I think, like, that’s similar to what basically webbooks do right?

70 00:07:18.400 00:07:21.390 Uttam Kumaran: So who? Who is on their team that’s actually building this like.

71 00:07:23.160 00:07:26.380 Awaish Kumar: So that’s like Sebastian Sebastian.

72 00:07:26.380 00:07:26.740 Uttam Kumaran: Okay.

73 00:07:26.740 00:07:30.290 Awaish Kumar: Who’s the one who is the the CTO.

74 00:07:31.050 00:07:39.130 Awaish Kumar: He’s kind of owning the work, but I think obviously there are more engineers involved.

75 00:07:39.780 00:07:44.130 Uttam Kumaran: Okay, so yeah.

76 00:07:45.570 00:07:51.570 Awaish Kumar: Like I met with Ayush, one of the engineer in his team. He’s working on intact stuff.

77 00:07:51.810 00:08:07.539 Awaish Kumar: and like I like. He was very operative in a way that like we can like, tell them whatever we want to monitor on the tech side, like, I provide a lot of feedback on. Okay, we want to gather

78 00:08:07.730 00:08:11.249 Awaish Kumar: when the tech started finished. If if it is.

79 00:08:11.370 00:08:29.329 Awaish Kumar: how, how long it the person spent on each screen, what are the questions answers things like that. And basically they were able to do that. And did they like noted down to implement those things so. But that was only the intact part, right? Like Emr has much more

80 00:08:30.480 00:08:33.270 Awaish Kumar: to do it. Right? So

81 00:08:34.630 00:08:42.279 Awaish Kumar: yeah, like, on the other side, I like, I don’t know how many people are there who who else is working? On? What part of the product

82 00:08:42.400 00:08:43.159 Awaish Kumar: come on.

83 00:08:43.710 00:08:53.936 Awaish Kumar: but, like I from our side, like what I can say is that like if they move from boss to Mr. And then they have.

84 00:08:54.850 00:08:57.909 Awaish Kumar: okay. And then suddenly, like, we cannot

85 00:08:58.815 00:09:01.370 Awaish Kumar: request all of this sudden. So.

86 00:09:01.370 00:09:01.930 Uttam Kumaran: Yeah.

87 00:09:01.930 00:09:04.520 Awaish Kumar: What I would say is that if, like you spend.

88 00:09:04.880 00:09:09.449 Awaish Kumar: are we like? In a week or 2 we, we gather

89 00:09:09.830 00:09:15.139 Awaish Kumar: information, build some schemas or list of tables with fields

90 00:09:15.940 00:09:22.560 Awaish Kumar: like what we need and how we need it, like as web hooks, and we really segment or read it in whatever like.

91 00:09:22.780 00:09:24.809 Awaish Kumar: Sure you can share it with us.

92 00:09:24.810 00:09:27.139 Uttam Kumaran: My yeah. So my suggestion would be one

93 00:09:27.630 00:09:32.820 Uttam Kumaran: have some sort of standing meeting with whoever the stakeholder is there.

94 00:09:33.990 00:09:35.880 Uttam Kumaran: So that you have a data

95 00:09:36.170 00:09:50.769 Uttam Kumaran: engineering stand like a data and engineering meeting that way, you could have something where at least every other week you can able to share. Second is, yes, I would definitely send them the exact details of what we need, and then a couple of the examples.

96 00:09:51.770 00:09:56.899 Uttam Kumaran: and then I would request, Hey, can we satisfy this via the web books. Here’s like what we would need.

97 00:09:57.620 00:10:01.309 Uttam Kumaran: I think that’s fair. I would just try to do it early, for sure.

98 00:10:02.530 00:10:03.230 Awaish Kumar: And

99 00:10:06.400 00:10:11.879 Awaish Kumar: and like I don’t know like I when I go to the boss there are a lot of web books, and I don’t know, like we.

100 00:10:12.510 00:10:15.239 Awaish Kumar: how we want to approach those like

101 00:10:15.450 00:10:21.089 Awaish Kumar: no, like these web books like these are events, and they are like monitoring it separately.

102 00:10:22.300 00:10:25.390 Awaish Kumar: So a treatment created is a separate event.

103 00:10:25.810 00:10:28.020 Awaish Kumar: It comes in in a separate table.

104 00:10:28.180 00:10:32.249 Awaish Kumar: I think we we keep the same schema. Is that fine like

105 00:10:32.380 00:10:37.279 Awaish Kumar: in the similar way. So like, we have list of events which we want to monitor

106 00:10:37.520 00:10:41.629 Awaish Kumar: for each event, data is going to come in a separate table.

107 00:10:41.840 00:10:44.369 Awaish Kumar: Then we are going to define how those

108 00:10:44.560 00:10:50.830 Awaish Kumar: tables are structured, or if that is a 1 table, or more than one like. If it is in a quarter.

109 00:10:50.970 00:10:52.069 Awaish Kumar: please keep.

110 00:10:52.290 00:11:00.269 Awaish Kumar: Then it can be like multiple table, like an order with order details plus the order items as well.

111 00:11:01.690 00:11:02.360 Uttam Kumaran: Okay.

112 00:11:05.530 00:11:06.676 Awaish Kumar: So, yeah.

113 00:11:12.530 00:11:16.579 Uttam Kumaran: Okay, yeah. I mean, then, what do you need anything from like our internal team?

114 00:11:19.990 00:11:24.219 Awaish Kumar: I don’t know. Like I I will need help with building all this documentation.

115 00:11:24.490 00:11:25.170 Uttam Kumaran: Okay.

116 00:11:25.860 00:11:26.510 Uttam Kumaran: Okay.

117 00:11:28.250 00:11:30.679 Awaish Kumar: Ocean dogs, like.

118 00:11:32.360 00:11:34.230 Uttam Kumaran: I think notion is fine. Yeah.

119 00:11:34.230 00:11:39.990 Awaish Kumar: What we are using like. I don’t. We don’t need like anything any extra things like we just have

120 00:11:40.320 00:11:48.730 Awaish Kumar: what I need. What in in going the the project in the, in the modern mask or the raw

121 00:11:49.210 00:11:59.079 Awaish Kumar: tables we have used, figure out the fields we are using, and put it in a notion, and then have a discussion internally with the Robert and the

122 00:11:59.450 00:12:01.510 Awaish Kumar: any double RA.

123 00:12:02.470 00:12:06.450 Awaish Kumar: On like how they have so far on the other sides

124 00:12:06.670 00:12:16.780 Awaish Kumar: another different models which I have. No, I’m not worked on how they have actually fixed things or enhance things, so we can actually make them.

125 00:12:16.970 00:12:23.549 Awaish Kumar: instead of patching up with some things afterwards we just will

126 00:12:23.830 00:12:27.590 Awaish Kumar: try to get as much as into the

127 00:12:28.530 00:12:31.019 Awaish Kumar: through the events, and and from them.

128 00:12:32.240 00:12:32.640 Uttam Kumaran: Okay.

129 00:12:36.280 00:12:43.480 Awaish Kumar: Yeah, that’s why I think, like, how should we approach it?

130 00:12:44.830 00:12:45.390 Awaish Kumar: Yeah.

131 00:12:45.390 00:12:51.790 Uttam Kumaran: Yeah, I think that I think the way you have it is right. I think you’re gonna have to ask them like once they set it up to do testing.

132 00:12:53.680 00:13:09.650 Awaish Kumar: Like like, but like what I’m saying is that, like we have, we are ready with with the schema we need, and then we can share it with them. And then we can ask them like, Okay, whenever just.

133 00:13:09.650 00:13:10.010 Uttam Kumaran: That’s it.

134 00:13:10.460 00:13:11.670 Awaish Kumar: Yeah, let us know.

135 00:13:11.670 00:13:14.689 Uttam Kumaran: But that’s what I’m saying. Set up, set up a standing meeting.

136 00:13:16.420 00:13:17.520 Uttam Kumaran: That way. You have it.

137 00:13:19.700 00:13:20.380 Awaish Kumar: Okay.

138 00:13:20.750 00:13:29.940 Awaish Kumar: we already have, for, like intact data, they already set set up the staging environment. We already have data in bigquery coming via segment.

139 00:13:30.400 00:13:32.909 Uttam Kumaran: Okay. Similarly, we will have.

140 00:13:33.190 00:13:36.649 Awaish Kumar: For other parts of the email.

141 00:13:44.210 00:13:45.790 Awaish Kumar: And we are like.

142 00:13:45.980 00:13:54.929 Awaish Kumar: so apart from this standing meeting, like what else we need to discuss like when they move to Emr. What other tools are going to change

143 00:13:55.930 00:14:02.949 Awaish Kumar: like is not being mixed. Panel customer. I/O. All these things are going to stay the same.

144 00:14:03.950 00:14:10.279 Uttam Kumaran: Well, that’s the thing I don’t know whether we’re using, because that’s all for the website. That’s nothing for the actual like

145 00:14:11.630 00:14:13.249 Uttam Kumaran: ordering system. Right?

146 00:14:17.530 00:14:25.859 Awaish Kumar: Yeah, like, that’s the like customer. I always used to send the emails and things like that. I don’t know if now they want to send it to their own system.

147 00:14:29.940 00:14:33.400 Uttam Kumaran: Okay, yeah, I don’t know. I think

148 00:14:33.540 00:14:36.819 Uttam Kumaran: you should ask Robert about Customer I/O,

149 00:14:36.940 00:14:39.740 Uttam Kumaran: but from my lens, like, I feel like it’s

150 00:14:39.840 00:14:43.390 Uttam Kumaran: mainly the stuff we’re getting from bask that needs to change.

151 00:14:44.990 00:14:46.530 Awaish Kumar: Yeah.

152 00:14:48.550 00:14:53.879 Uttam Kumaran: So if you write that, Doc, I’m happy to review, or if you need me, in one of those meetings. But I think that

153 00:14:54.160 00:14:57.049 Uttam Kumaran: if I think you should write the Doc, and then

154 00:14:57.700 00:15:00.169 Uttam Kumaran: you can just put those open questions. And then

155 00:15:00.980 00:15:03.749 Uttam Kumaran: even that’s a question that’s a good thing to bring up with them.

156 00:15:03.910 00:15:05.449 Uttam Kumaran: What else is gonna change.

157 00:15:08.280 00:15:10.589 Awaish Kumar: So for the top side, like

158 00:15:10.910 00:15:16.679 Awaish Kumar: like. So you, we need like this comprehensive. All the list of tables and things like that, right.

159 00:15:16.680 00:15:21.269 Uttam Kumaran: Yeah, yeah, I would. Just, yeah, I would just write that.

160 00:15:22.510 00:15:23.870 Awaish Kumar: Who knows? Okay.

161 00:15:27.130 00:15:30.170 Uttam Kumaran: Or if you want to write the outline, you can send it to me for review. But yeah.

162 00:15:35.820 00:15:40.109 Awaish Kumar: Once. It’s there, like we are going to review internally like with Robert and you

163 00:15:40.680 00:15:47.829 Awaish Kumar: to like how? Because, like, they have been working on things like different product variance categories.

164 00:15:48.130 00:15:55.290 Awaish Kumar: So we all we want all we want to capture all of these things in our new system in a better way.

165 00:15:59.520 00:16:02.599 Awaish Kumar: Okay, great I don’t have anything else.

166 00:16:05.140 00:16:05.810 Awaish Kumar: Oh, fuck.

167 00:16:05.810 00:16:06.270 Uttam Kumaran: Okay.

168 00:16:09.600 00:16:13.190 Awaish Kumar: So like, okay, I will build out. I will start working on

169 00:16:13.590 00:16:16.649 Awaish Kumar: building out those talks and then share.

170 00:16:17.550 00:16:19.330 Awaish Kumar: Okay? Okay.

171 00:16:20.820 00:16:22.280 Uttam Kumaran: Okay, perfect.

172 00:16:23.350 00:16:26.010 Uttam Kumaran: Alright, thank you. Dude. Enjoy the weekend.

173 00:16:26.600 00:16:27.360 Awaish Kumar: You too.

174 00:16:27.740 00:16:28.879 Uttam Kumaran: Okay? Bye.