Meeting Title: Polyatomic Data Sync Weekly Update Date: 2026-02-19 Meeting participants: Scratchpad Notetaker, Demilade Agboola, Nandika Jhunjhunwala, Greg Stoutenburg, Mustafa Raja, Caitlyn Vaughn


WEBVTT

1 00:00:38.930 00:00:40.929 Greg Stoutenburg: Yo. Hey, Annika.

2 00:00:41.190 00:00:41.803 Nandika Jhunjhunwala: Oh my.

3 00:00:47.650 00:00:49.870 Greg Stoutenburg: Is that, King of the Hill on in the background there?

4 00:00:50.360 00:00:56.489 Nandika Jhunjhunwala: Yeah, so something happened to this TV, it’s just, like, running on its own, and nobody knows why, so…

5 00:00:56.490 00:01:03.329 Greg Stoutenburg: That’s great. That’s great. That’s way better than, like, an inspirational poster or something.

6 00:01:04.400 00:01:05.739 Greg Stoutenburg: a stock ticker.

7 00:01:05.920 00:01:06.910 Nandika Jhunjhunwala: Yeah.

8 00:01:07.060 00:01:08.470 Nandika Jhunjhunwala: Also, just talk.

9 00:01:09.270 00:01:13.609 Demilade Agboola: It sounds like technology has come for us, or the TV has a mind of its own.

10 00:01:14.260 00:01:20.440 Nandika Jhunjhunwala: Sort of like that, yeah. It’s been, like, people who’ve been taking sales calls here are, like, mortified.

11 00:01:21.800 00:01:22.380 Nandika Jhunjhunwala: Yeah.

12 00:01:25.090 00:01:27.489 Greg Stoutenburg: Well, if that’s what, if that’s what,

13 00:01:27.880 00:01:35.470 Greg Stoutenburg: technology’s, you know, encroachment into the world is going to bring us to, just, you know, randomly showing us funny TV shows. I’m for that.

14 00:01:35.470 00:01:36.810 Nandika Jhunjhunwala: Yeah.

15 00:01:37.860 00:01:38.470 Greg Stoutenburg: Hey, Caitlin!

16 00:01:38.470 00:01:39.999 Caitlyn Vaughn: Hey, how’s it going?

17 00:01:40.380 00:01:41.759 Greg Stoutenburg: Doing alright, how are you?

18 00:01:41.760 00:01:42.770 Caitlyn Vaughn: Good!

19 00:01:45.460 00:01:46.230 Greg Stoutenburg: Hmm.

20 00:01:47.080 00:01:50.859 Demilade Agboola: Alright, I guess we have the whole crew here, so we can get started.

21 00:01:51.030 00:01:51.979 Greg Stoutenburg: Let’s go.

22 00:01:54.250 00:01:55.820 Demilade Agboola: Okay,

23 00:01:59.350 00:02:09.859 Demilade Agboola: So, the overview of this week is we have our data pipelines live, with most of our sources syncing, likely, to MotherDoc.

24 00:02:10.229 00:02:18.760 Demilade Agboola: We’ve started Laura’s GTM stream, as well as, Lauren’s customer, reporting stream.

25 00:02:19.990 00:02:27.120 Demilade Agboola: And… On the product analytics side, Greg has been able to deliver a comprehensive tracking plan

26 00:02:27.830 00:02:33.649 Demilade Agboola: And mapped… he’s also mapped the first posthog, funnel with Nadica as well.

27 00:02:34.290 00:02:38.179 Demilade Agboola: And then the SEMrush validation analysis was completed and delivered this week.

28 00:02:38.870 00:02:46.510 Demilade Agboola: Alright, so up next is, basically, we will sign off on the analytics audit, From the product analytics stream.

29 00:02:46.820 00:02:52.190 Demilade Agboola: As well as begin user… Property tracking and event tracking implementation.

30 00:02:52.990 00:03:07.439 Demilade Agboola: while on, like, the data platform and analytics side, the idea is just to complete… so, for the data modeling on Laura’s, like, GTM revenue stream, it’s, like, completing it, so, like, doing internal reviews, ensuring the numbers and the models make sense.

31 00:03:07.730 00:03:10.369 Demilade Agboola: And as comprehensive as possible.

32 00:03:10.660 00:03:17.920 Demilade Agboola: As well as just, like, same thing, just completing, the customer reports and enablement stream.

33 00:03:19.420 00:03:21.950 Demilade Agboola: So key wins this week.

34 00:03:22.940 00:03:27.839 Demilade Agboola: So we were able to get the, you know, number of sources and pipelines working.

35 00:03:28.070 00:03:37.999 Demilade Agboola: So Plane, Amplitude, and QuickBooks are all, you know, syncing lightly to, Polyatomic now, as well as Salesforce, so we’re getting our data in every single night.

36 00:03:38.160 00:03:41.220 Demilade Agboola: And every day we have the new, fresh data.

37 00:03:41.380 00:03:55.829 Demilade Agboola: And so, obviously, the impact is, because of the fresh data, the models that we create will be able to run, and when they run, we will have the latest data as at that point in time. So, basically, now we can start giving you data from

38 00:03:56.030 00:04:01.620 Demilade Agboola: On a, you know, daily cadence, so that’s very helpful and very important to have.

39 00:04:02.000 00:04:09.550 Demilade Agboola: Also, we’re able to kick off Flora’s GTM stream, so right now, we’ve been modeling data from, like, QuickBooks and Salesforce.

40 00:04:09.980 00:04:17.130 Demilade Agboola: And just using that to get all the, like, the GTM metrics. Again, the models have been created.

41 00:04:17.399 00:04:25.809 Demilade Agboola: Right now, we’re just undergoing internal review, just to ensure that the numbers are, like, the numbers make sense, the joins are good.

42 00:04:25.950 00:04:31.670 Demilade Agboola: And, you know, before we present it to your team and show you what those, what the models look like.

43 00:04:32.330 00:04:36.139 Demilade Agboola: Same thing with, like, Lauren’s customer reports and enablement.

44 00:04:36.400 00:04:46.080 Demilade Agboola: Again, this has also been done. It actually exists right now in QuickBooks. No, it’s in Mother Doc, sorry.

45 00:04:46.530 00:04:55.329 Demilade Agboola: So I have been able to build out, like, the models, and again, these numbers are stuff that I’m still, like, trying to examine and just…

46 00:04:55.540 00:05:01.029 Demilade Agboola: Review, so, like, once I’m confident in them, we’ll be able to present them to the team.

47 00:05:01.180 00:05:10.659 Demilade Agboola: But that should be done by tomorrow, most likely, and we can start having conversations about how we would like to utilize these numbers, in Omni.

48 00:05:12.500 00:05:14.989 Demilade Agboola: And… that will be for next week.

49 00:05:17.360 00:05:25.189 Nandika Jhunjhunwala: Wanted to ask on the daily sync, is it just plain Amplitude and QuickBooks that you have connected so far?

50 00:05:25.510 00:05:26.859 Demilade Agboola: Salesforce as well.

51 00:05:26.860 00:05:34.899 Nandika Jhunjhunwala: Salesforce as well. Yeah. And were you able to figure out, like, getting access to product data from Postgres?

52 00:05:34.900 00:05:50.729 Demilade Agboola: Yeah, so that’s the… the issue right now has been, Victor. So Victor said there’s a lot on his plate right now, and it’s something he’ll feel confident as part of our risks and mitigations. He said this is something that he’ll feel confident if an engineer on, like, the default site was handling that.

53 00:05:52.890 00:05:56.140 Demilade Agboola: And so, I basically have sensed him, like.

54 00:05:56.360 00:06:00.460 Demilade Agboola: documentation on how to do, like, the CDC application.

55 00:06:01.150 00:06:14.250 Demilade Agboola: And how to ensure that that doesn’t also, like, have any… because it’s… his… his worry is that it is prod data, like, the actual database, and he doesn’t want anything to happen to have an effect on the production database.

56 00:06:14.250 00:06:14.690 Nandika Jhunjhunwala: Fair.

57 00:06:14.690 00:06:21.210 Demilade Agboola: Both polyatomic, as well as just, like, polyatomics, like, Galib.

58 00:06:21.370 00:06:33.679 Demilade Agboola: And just, like, documentation, we’ve been able to show, like, hey, we can do, like, CDC replication, which we can set at particular times, and that way we will be able to ensure that there’s very little to any effect on the prod.

59 00:06:33.790 00:06:34.670 Demilade Agboola: data.

60 00:06:34.970 00:06:40.270 Demilade Agboola: But Victor just wants to be very cautious and wants to ensure that it’s an engineer.

61 00:06:40.410 00:06:53.180 Demilade Agboola: on, you know, your team that handles it, and so he can feel fully confident in whatever happens. So that’s kind of, like, a bit of a delay on that end, but that’s, like, the only major data source that we don’t have yet.

62 00:06:54.260 00:06:55.889 Caitlyn Vaughn: Are you talking about product data?

63 00:06:56.160 00:06:56.860 Demilade Agboola: Yes.

64 00:06:56.860 00:07:03.839 Caitlyn Vaughn: Okay, cool. Also, do you guys have… so you’re starting to build out Laura’s and Lauren’s dashboards, right?

65 00:07:03.960 00:07:18.469 Demilade Agboola: Yes, based off what we have, so that’s part of, like, the review I’m doing, and just kind of, like, okay, so we can answer this metric, this metric, this metric. However, these ones are stuff that we’ll not be able to answer because, you know, this is not currently available.

66 00:07:18.470 00:07:20.809 Caitlyn Vaughn: So that’s the idea of, like, finishing that up.

67 00:07:20.820 00:07:33.169 Demilade Agboola: you know, before the weekends. We can now have, like, that conversation so we know, like, what we can expect for next week in terms of if we start building out the dashboards, we can assert these metrics, but these metrics are blocked by this.

68 00:07:33.170 00:07:42.789 Caitlyn Vaughn: Okay, and do you have, docs for each, or do you have, like, a spreadsheet for each, dashboard that you’re building with, like, all of the…

69 00:07:42.910 00:07:45.809 Caitlyn Vaughn: Metrics that they want to see, plus what’s available.

70 00:07:46.210 00:07:49.260 Demilade Agboola: So yes, we haven’t, we have,

71 00:07:49.980 00:07:55.080 Demilade Agboola: docs for, like, what we, like, what the end goal is, like, what the metrics are.

72 00:07:55.230 00:08:04.800 Demilade Agboola: But then, yeah, part of the review will be just to ensure that, like, we can mark what we can do, as well as what is being blocked by,

73 00:08:06.470 00:08:15.719 Demilade Agboola: like, for instance, product data not being available, things like that. Yeah, totally. Okay, would you be able to share those with me so I can just see what’s going on on each dashboard?

74 00:08:16.370 00:08:29.879 Caitlyn Vaughn: people asking about it, and I just want to be able to point to, like, what is actually being built for each one, and if anyone is, like, missing something from there, they don’t have to, like, be thrown into this whole thing, but, like, can get a field added or a metric added.

75 00:08:30.440 00:08:35.159 Demilade Agboola: Alright, sounds good. I will share that with you, today.

76 00:08:35.509 00:08:36.689 Demilade Agboola: Or probably early tomorrow.

77 00:08:37.630 00:08:51.780 Nandika Jhunjhunwala: Yeah, I would love access as well. And sorry, follow-up question, is… is the concern with Postgres that Victor has the same concern with connecting ClickHouse as well, I’m assuming? Or is… has that been connected?

78 00:08:52.200 00:08:58.510 Demilade Agboola: Actually, no, I think I need to… I need to follow up on that. I’m not sure if I have… do we have Clickhouse access?

79 00:08:58.910 00:09:00.590 Demilade Agboola: I need to, like…

80 00:09:00.590 00:09:11.779 Nandika Jhunjhunwala: On the… on the spreadsheet, like, brain force default spreadsheet, it says clickhouse access granted, and then polyatomic connector waiting. Okay.

81 00:09:11.780 00:09:13.130 Demilade Agboola: Alright, in that case, yeah, I’ll…

82 00:09:13.130 00:09:13.680 Nandika Jhunjhunwala: I think…

83 00:09:13.680 00:09:14.160 Demilade Agboola: That’s true.

84 00:09:14.160 00:09:20.840 Nandika Jhunjhunwala: Polyatomic responded with them having created the ClickHouse connector, so… In that case.

85 00:09:21.430 00:09:29.579 Demilade Agboola: It would just be to do a sync with Click House in that case. Shouldn’t… it’s not gonna be… that can be done within the next, like, 30 minutes.

86 00:09:30.120 00:09:34.079 Nandika Jhunjhunwala: So, sorry, just wanted to confirm, you have access, Wikas?

87 00:09:34.490 00:09:42.379 Demilade Agboola: Yeah, I’ll confirm the access, and then once that is confirmed, I will then, the polyatomic to it.

88 00:09:42.710 00:09:47.049 Nandika Jhunjhunwala: Sounds good. And then are you also syncing Hyperlane, or is that…

89 00:09:47.380 00:09:48.920 Demilade Agboola: I have a line is also sinking.

90 00:09:48.920 00:09:50.220 Nandika Jhunjhunwala: Okay, got it.

91 00:09:50.630 00:09:51.530 Demilade Agboola: Yeah, so…

92 00:10:02.410 00:10:07.000 Demilade Agboola: Right… So the next will be…

93 00:10:09.360 00:10:12.569 Demilade Agboola: product analytics stream, and I can hand that over to Greg.

94 00:10:13.030 00:10:37.000 Greg Stoutenburg: Yep, there we go, cool. Hey, everybody. Yep, so, continue to work with Nandica on the tracking plan and getting some things set up in, in posthog. So, we now have a comprehensive tracking plan that’s in place that fills out all the user properties that we might want to track. As I’m seeing things take shape, I’ll actually continue to pare that back, as much as we’re adding things to the tracking plan.

95 00:10:37.000 00:10:51.209 Greg Stoutenburg: as new features are stood up. So, you know, as we’ve been discussing, this is just going to be an iterative thing since product development remains ongoing. But for now, we’re in a pretty good shape. We’ve got something that is, in fact, comprehensive, and we’ll just continue to make provisions as we need to.

96 00:10:51.360 00:11:11.160 Greg Stoutenburg: pretty exciting that yesterday, I think it was yesterday, I don’t know, it’s all a blur, right? Yesterday or the day before, we went into the, the development area for the Phoenix project, and we’re able to see that there is now definitely in place something that we can call a complete funnel, and that’s from sign-up to data-enriched.

97 00:11:12.460 00:11:32.790 Greg Stoutenburg: Very exciting. So we’re gonna be able to take that data and set it up in the post-hog instance that we’ve got ready to go, start watching those events flow in, and from there, we kind of just start troubleshooting and make sure that the things that we expect to see are the things that we’re seeing, and look for anything that we wish we were seeing that we would want to track in addition.

98 00:11:32.790 00:11:36.290 Greg Stoutenburg: We’ll go through this kind of loop every time we…

99 00:11:36.290 00:11:47.060 Greg Stoutenburg: see that there’s a complete workflow ready to go in the product. We’ll track it and measure and iterate. So, very excited about that. The goal will be to get that set up by end of day tomorrow.

100 00:11:47.250 00:11:49.859 Greg Stoutenburg: And then we can begin testing it next week.

101 00:11:50.990 00:12:06.449 Nandika Jhunjhunwala: Sounds good. Yeah, I can give an update here as well. So I’ve basically instrumented most of the events that we can with our current instance of Phoenix. So I think I have around, like, 80 events right now. Like, most of them are, like, button-clicked, you know, like…

102 00:12:06.570 00:12:24.789 Nandika Jhunjhunwala: profile picture change, like, calendar change, calendar connected, integration connected, table created, table updated, sync changes clicked, and those kind of events. So I think what I would want on that, like, instrumentation, on the backend is, like, engineering review.

103 00:12:24.850 00:12:31.880 Nandika Jhunjhunwala: And then once that’s reviewed and approved, I think we’re in, like, good shape to create those,

104 00:12:32.040 00:12:34.010 Nandika Jhunjhunwala: Dashboards. Yeah.

105 00:12:34.630 00:12:41.900 Greg Stoutenburg: Yeah, so let’s just, yeah, so… and we have time scheduled for, I think about an hour from now,

106 00:12:42.240 00:12:48.389 Greg Stoutenburg: To, to look at what is being tracked with the auto capture, since, you know, we caught that, that,

107 00:12:48.780 00:12:50.430 Greg Stoutenburg: That bug yesterday, where.

108 00:12:50.430 00:12:51.530 Nandika Jhunjhunwala: Yeah, sorry.

109 00:12:51.530 00:12:52.020 Greg Stoutenburg: Selected.

110 00:12:52.020 00:13:03.310 Nandika Jhunjhunwala: So, I just gave up on AutoCapture, this is all on the back end. So I tested it out, it’s working now, so we do have all those events coming up in posthoc.

111 00:13:03.580 00:13:09.520 Greg Stoutenburg: Great, excellent. Cool. Alright, that’s it for, for this update, Ben.

112 00:13:10.210 00:13:12.280 Greg Stoutenburg: And we can go to the next slide, Demi.

113 00:13:14.390 00:13:24.579 Demilade Agboola: Yeah, just also, just a quick update on that. A couple things. One is, the Hyperline hasn’t… is not actually integrating right now, because the connector has not been created.

114 00:13:25.080 00:13:31.899 Demilade Agboola: So there were two creators needed to be created, Click House and Hyperline. Click House has been created, Hyperline hasn’t, so…

115 00:13:32.390 00:13:39.259 Demilade Agboola: I will just follow up with Galib on that, and hopefully we can get that very soon, so once we have that created, it will be…

116 00:13:40.170 00:13:40.990 Demilade Agboola: Done.

117 00:13:41.720 00:13:45.939 Caitlyn Vaughn: And this is, polytomic needs to create these connections, right?

118 00:13:46.150 00:13:53.939 Demilade Agboola: Oh, yes. So yeah, Galib just actually responded, and he said, yes, we’ll do this once default signs on as a customer.

119 00:13:54.270 00:13:57.179 Demilade Agboola: I’ll chat with them, they’ll follow up with you, so…

120 00:13:57.330 00:13:59.680 Caitlyn Vaughn: Okay, did we sign as a customer yet, or no?

121 00:14:00.520 00:14:01.830 Demilade Agboola: No, I don’t think so.

122 00:14:02.180 00:14:02.690 Caitlyn Vaughn: Okay.

123 00:14:02.690 00:14:05.280 Demilade Agboola: Because this is the test sync period.

124 00:14:05.280 00:14:05.710 Caitlyn Vaughn: Huh.

125 00:14:05.710 00:14:11.089 Demilade Agboola: Then once they give us, like, a quotation, we can have an estimate of what that would look like for…

126 00:14:11.210 00:14:15.300 Demilade Agboola: You know, a longer period of time. And then,

127 00:14:16.050 00:14:21.590 Demilade Agboola: the signature would happen, and we can then, you know, we’ll then be fully customized of, Polytonic.

128 00:14:22.080 00:14:27.950 Caitlyn Vaughn: Cool. So we’re gonna wait until we become a customer, then, to get Hyperline and ClickHouse.

129 00:14:28.150 00:14:30.510 Demilade Agboola: Oh, no, click off… no, click, so, just Hyperline, because click.

130 00:14:30.510 00:14:31.150 Caitlyn Vaughn: Product.

131 00:14:31.280 00:14:31.950 Demilade Agboola: Yeah.

132 00:14:31.950 00:14:34.300 Nandika Jhunjhunwala: I think it created the checklist, yeah.

133 00:14:34.840 00:14:36.680 Caitlyn Vaughn: Okay, cool, sounds good.

134 00:14:36.990 00:14:37.770 Demilade Agboola: Alright, then.

135 00:14:40.740 00:14:47.480 Demilade Agboola: Okay, so, risks and mitigation, so yes, there’s the auto-capture accuracy.

136 00:14:49.710 00:14:58.670 Demilade Agboola: And basically, it’s just possible to choose the wrong event when setting up auto-capture, and how we plan to mitigate this is just, like, training from Mustafa.

137 00:14:59.190 00:15:02.809 Demilade Agboola: on correctly choosing the elements for the auto capture event.

138 00:15:03.180 00:15:07.730 Demilade Agboola: And then also another risk is just the Postgres access that’s still pending.

139 00:15:08.280 00:15:12.190 Demilade Agboola: And how we plan to mitigate that is just by continuously following up with Victor.

140 00:15:12.380 00:15:20.419 Demilade Agboola: I know he said that, you know, the engineering team is basically at bandwidth right now, but just trying to see how we can potentially push that forward.

141 00:15:20.600 00:15:22.879 Demilade Agboola: Maybe it’s find the time to think.

142 00:15:23.130 00:15:29.949 Demilade Agboola: Either, like, this week, or early next week, and maybe potentially just use that time to, you know, push things over the line.

143 00:15:30.400 00:15:35.739 Demilade Agboola: Because the actual… the actual setup isn’t really hard. It’s more of, you know, just being able to…

144 00:15:35.850 00:15:41.380 Demilade Agboola: Ensure that we are, whatever setup we’re doing integrates every…

145 00:15:41.940 00:15:46.220 Demilade Agboola: potential loophole and potential issues that we could have with the Postgres.

146 00:15:52.320 00:15:53.520 Demilade Agboola: Okay,

147 00:15:56.140 00:16:01.130 Demilade Agboola: So, do we have any questions about the work this week, or things that have been going on this week?

148 00:16:01.840 00:16:07.799 Caitlyn Vaughn: Okay, so can we go back to the connections? .

149 00:16:07.940 00:16:08.560 Demilade Agboola: Go.

150 00:16:08.820 00:16:14.989 Caitlyn Vaughn: So that doc that we had talked about with all of the, like, P0s and the P1s,

151 00:16:15.250 00:16:21.790 Caitlyn Vaughn: Is there anything on there that hasn’t been connected in other than Hyperline?

152 00:16:22.840 00:16:26.759 Caitlyn Vaughn: P0 granted. QuickBooks was granted, right?

153 00:16:27.050 00:16:31.440 Demilade Agboola: Yeah, so QuickBooks integrated… Post…

154 00:16:33.980 00:16:36.970 Demilade Agboola: I’m not sure Postharga has been, but I can al- I can always do that.

155 00:16:39.150 00:16:44.579 Demilade Agboola: Yeah, so, Hyperline… isn’t… it’s… we’re waiting for the polyatomic integration.

156 00:16:45.360 00:16:54.929 Demilade Agboola: Click House… Yes, easier this way. Alright, so default, you’re waiting for access.

157 00:16:55.920 00:17:01.280 Demilade Agboola: Click House, basically, this… Has been done, so we just need to get this over the line.

158 00:17:01.500 00:17:07.440 Demilade Agboola: Stripe… I will need to just integrate that as well.

159 00:17:09.400 00:17:10.690 Demilade Agboola: to integrate.

160 00:17:13.640 00:17:18.790 Demilade Agboola: And then… I think that would be it, basically.

161 00:17:19.250 00:17:35.630 Caitlyn Vaughn: Okay, cool. So, on our side, we definitely, like, have the resources to, like, push these things forward, so if there is something that, you know, is blocked on your end, or, like, hasn’t been done, this is kind of, like, our source of truth that we keep coming back to. So…

162 00:17:35.700 00:17:46.890 Caitlyn Vaughn: if something has been done, let’s make sure to, like, update it quickly, and then if something needs to get done, let’s make sure to, like, point it out, because Nandika’s here, like, working on this.

163 00:17:47.450 00:17:47.810 Demilade Agboola: Okay.

164 00:17:47.810 00:18:03.010 Caitlyn Vaughn: putting a lot of hours into this, and I think we have the resources on our side to just, like, make sure this gets done. So I just want to make sure, like, nothing is delayed, on our end or on your end, and if it is anything on our end, I need you to tell us. I need you to crack the whip.

165 00:18:03.660 00:18:08.989 Demilade Agboola: Alright, sounds good. I think the only, like, the only major thing is just, like, the Postgres right now. Okay.

166 00:18:10.010 00:18:19.220 Demilade Agboola: So this will just be blocked until… so, like, Hyperline will be blocked until… We get things signed.

167 00:18:22.090 00:18:24.760 Demilade Agboola: Yeah, that’s kind of out of our control.

168 00:18:24.880 00:18:27.600 Demilade Agboola: Postgres, we’re waiting for access.

169 00:18:27.770 00:18:28.170 Caitlyn Vaughn: Okay.

170 00:18:28.170 00:18:30.700 Demilade Agboola: And then we’ll try and integrate the others.

171 00:18:30.850 00:18:31.620 Demilade Agboola: As well.

172 00:18:31.920 00:18:35.879 Caitlyn Vaughn: Okay, cool. And then, the ones that you do have access to…

173 00:18:35.990 00:18:41.980 Caitlyn Vaughn: Is there any reason why it shouldn’t be integrated in the next, like, week or so?

174 00:18:42.690 00:18:46.309 Demilade Agboola: No, there’s no reason why we should integrate them in the next week or so.

175 00:18:46.310 00:18:54.159 Caitlyn Vaughn: Okay, perfect. I will work on the Postgres access then, and then we can assume that the rest will be hooked up by next week.

176 00:18:54.560 00:18:57.420 Demilade Agboola: Definitely. By Monday, all this should be done.

177 00:18:57.730 00:18:58.660 Caitlyn Vaughn: Amazing.

178 00:18:58.930 00:18:59.590 Demilade Agboola: Okay.

179 00:19:04.810 00:19:07.039 Caitlyn Vaughn: Nantika, any questions? Anything else?

180 00:19:07.290 00:19:22.479 Nandika Jhunjhunwala: I was curious about, like, P2 sources, like, do you want to first focus on getting P0 in, or, like, in the meantime, while we’re waiting for, like, product data and, like, other connectors to be connected? Is there a reason why we can’t get started on, like, P2 sources?

181 00:19:22.630 00:19:41.360 Nandika Jhunjhunwala: Or, do you think there’s, like, more planning needed on our end, or, like, your end, like, if there’s, like, further discussions on that, I think we can get the ball rolling there as well. I think despite, like, not having, like, product data or, like, connectors, I think, like, those sources can be integrated as well, so if you have the capacity, I think we should get moving on that.

182 00:19:42.660 00:19:54.829 Demilade Agboola: Yeah, it’s okay, I agree. I think the only… the only, drawback to certain things would be, like, things like factors.ai that would be… will need a custom connector, so that would also have to wait until we become

183 00:19:55.310 00:20:03.029 Demilade Agboola: full Polyatomic, customers. But beyond that, yeah, we can always get, we can always start integrating the other, sources.

184 00:20:03.030 00:20:04.130 Nandika Jhunjhunwala: Yeah.

185 00:20:04.130 00:20:05.979 Demilade Agboola: Analytics is an easy one.

186 00:20:06.100 00:20:08.360 Demilade Agboola: Facebook ads is another easy one.

187 00:20:08.570 00:20:10.909 Demilade Agboola: So yeah, we could… we could get that rolling.

188 00:20:11.290 00:20:15.810 Nandika Jhunjhunwala: Could we start setting those up next week as well, possibly, and just get this moving?

189 00:20:16.040 00:20:16.950 Demilade Agboola: Oh, yeah, yeah, yeah, sure.

190 00:20:17.150 00:20:18.459 Nandika Jhunjhunwala: Yeah, that’d be great.

191 00:20:19.110 00:20:20.929 Caitlyn Vaughn: Cool. Let’s do it.

192 00:20:25.400 00:20:28.859 Demilade Agboola: Alright then, any other questions or feedback?

193 00:20:30.360 00:20:33.240 Caitlyn Vaughn: No, it looks good. I think, like.

194 00:20:33.350 00:20:46.750 Caitlyn Vaughn: the beginning, it is just, like, learning the process, but I feel like we kind of have it down now, so we’re ready to just rip and go. We have so many people in our company now asking for, like, when are these dashboards ready?

195 00:20:46.910 00:20:49.700 Caitlyn Vaughn: So it’s exciting. We have, like, a lot of,

196 00:20:49.890 00:20:52.629 Caitlyn Vaughn: A lot of momentum internally for this, which is great.

197 00:20:53.090 00:20:57.929 Demilade Agboola: Yeah, that’s great, because, like, even, like I said, right now, we… We’ve basically, like that.

198 00:20:58.160 00:21:06.209 Demilade Agboola: I’m working on the development, and Mustafa’s gonna work on, like, the refresh, like, the GitHub actions to refresh it, so once, like.

199 00:21:06.500 00:21:13.779 Demilade Agboola: that setup, we will basically have, every morning, the GitHub Actions run, we will get new data, and that will be available

200 00:21:13.890 00:21:15.500 Demilade Agboola: within,

201 00:21:16.050 00:21:28.849 Demilade Agboola: Mother Doc, and then Omni can use it for the dashboards every morning. So, we’re, like, this close. Like I said already, like, I’m working in my, like, dev environment, ensuring that the numbers are good.

202 00:21:29.070 00:21:29.430 Caitlyn Vaughn: possible.

203 00:21:29.430 00:21:35.869 Demilade Agboola: are great, and we push them out, like, we’ll… the dashboards… next thing will just be to build the dashboard, so we’re, like, this close.

204 00:21:35.990 00:21:37.290 Demilade Agboola: But we’ll get there very soon.

205 00:21:37.550 00:21:39.300 Caitlyn Vaughn: Cool, can’t wait to see it.

206 00:21:39.300 00:21:40.840 Demilade Agboola: Yeah, excited too.

207 00:21:45.100 00:21:50.479 Demilade Agboola: Alright then, so if we don’t have any other, like, questions or feedback, I guess we can call it the day.

208 00:21:51.350 00:21:51.910 Greg Stoutenburg: Nope.

209 00:21:52.480 00:21:54.459 Demilade Agboola: Alright, then. Thanks, everyone.

210 00:21:55.010 00:21:55.620 Greg Stoutenburg: Thanks, everybody.

211 00:21:55.620 00:21:57.130 Caitlyn Vaughn: Guys, guys.