Meeting Title: Brainforge x CTA: Weekly! Date: 2026-02-13 Meeting participants: Kyle Wandel, Chi Quinn, Uttam Kumaran, Ashwini Sharma
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1 00:00:50.730 ⇒ 00:00:51.830 Kyle Wandel: Good morning, Kai.
2 00:00:51.830 ⇒ 00:00:52.869 Chi Quinn: Good morning, Kyle.
3 00:00:53.390 ⇒ 00:00:54.350 Kyle Wandel: How you doing today?
4 00:00:54.600 ⇒ 00:00:58.639 Chi Quinn: I am doing well. It’s Friday.
5 00:00:58.780 ⇒ 00:00:59.870 Kyle Wandel: Yeah, exactly.
6 00:00:59.870 ⇒ 00:01:00.834 Chi Quinn: Exactly.
7 00:01:05.349 ⇒ 00:01:08.690 Kyle Wandel: At least it’s sunny out there, a little chilly, but at least it’s sunny.
8 00:01:09.060 ⇒ 00:01:13.840 Chi Quinn: At least, and I hear that it’s going to get warmer next week.
9 00:01:13.960 ⇒ 00:01:18.539 Chi Quinn: It’s going to be, like, at some point, maybe even in the 50s?
10 00:01:18.540 ⇒ 00:01:19.980 Kyle Wandel: Yeah, that’d be nice.
11 00:01:19.980 ⇒ 00:01:21.210 Chi Quinn: That would be.
12 00:01:21.210 ⇒ 00:01:40.529 Kyle Wandel: Yeah, I did something… I wouldn’t say stupid, but we have, like, in our backyard, we have, like, a dog area that we made, basically just, like, a gravel area so they don’t ruin our grass. Yeah. So we have two dogs. And so it got, obviously, snowed on, and then I cleared it one time, but then I didn’t clear it the second time during the day, and so it iced over.
13 00:01:40.640 ⇒ 00:01:46.829 Kyle Wandel: And so it was just, like, 2 days ago when it was warm, I, like, broke up all the chunks, basically, to try and, like, make it help it…
14 00:01:47.020 ⇒ 00:01:51.070 Kyle Wandel: Melt faster. And then it got cold again, so it refroze.
15 00:01:51.070 ⇒ 00:01:51.449 Chi Quinn: Oh my god.
16 00:01:51.450 ⇒ 00:01:59.080 Kyle Wandel: are now, like, walking over, like, landmines or, like, giant cliffs of these ice blocks. And so my shepherd, who is…
17 00:01:59.390 ⇒ 00:02:12.659 Kyle Wandel: like, the biggest scaredy cat in the world, even though he’s 95 pounds and he’s a shepherd, he hates it, like, just won’t even do it. Whereas my lab, who’s, like, 9 years old and 40 pounds, is just like, alright, I gotta go to the bathroom, so…
18 00:02:12.660 ⇒ 00:02:14.110 Uttam Kumaran: Figure it out.
19 00:02:14.850 ⇒ 00:02:20.320 Kyle Wandel: My… my lab is, like, my lab is, like, perfect, and then Mars Shepard is just, like, a big baby. It’s just…
20 00:02:20.320 ⇒ 00:02:21.750 Uttam Kumaran: Yeah.
21 00:02:22.200 ⇒ 00:02:24.209 Uttam Kumaran: Just gotta, like, push him out the door.
22 00:02:24.210 ⇒ 00:02:33.310 Kyle Wandel: Basically, yeah, like, if it’s even just raining outside, like, just a little wet on the gravel, he will not go. He’ll go in the house, and it’s like, god damn it, stop.
23 00:02:33.310 ⇒ 00:02:36.640 Uttam Kumaran: Pampered. Yeah, he is. He is.
24 00:02:36.990 ⇒ 00:02:51.679 Kyle Wandel: When I was just telling Kai, like, we literally… so, like, we built, like, a gravel area for… because that’s how I grew up, actually, with, like, an area for the dogs to go to the bathroom, and so… because we have two dogs, and, like, they would just destroy the grass immediately, and so…
25 00:02:52.180 ⇒ 00:02:58.109 Kyle Wandel: Oh, we did that, I did that too here, and it works really well, like, it’s fantastic, it’s just that our shepherd is just an asshole.
26 00:02:59.560 ⇒ 00:03:01.110 Chi Quinn: That’s funny.
27 00:03:02.380 ⇒ 00:03:07.859 Uttam Kumaran: How is the… how’s the rest of the week going? Or has it gone, I guess? It’s already gone.
28 00:03:07.860 ⇒ 00:03:15.620 Kyle Wandel: Yeah, it’s already gone. Good so far. I think we’re just, the biggest issue, I think Kai’s managing, like, the… all the Power BI, like, the current stuff, basically.
29 00:03:16.270 ⇒ 00:03:17.130 Chi Quinn: Yeah.
30 00:03:17.130 ⇒ 00:03:18.690 Kyle Wandel: Yeah, it’s fun.
31 00:03:18.690 ⇒ 00:03:42.299 Chi Quinn: Yeah, I just… and I finished it yesterday, because I did add the Fortune 500. Thank you again, because I… yeah, I didn’t understand why I couldn’t edit it. I was trying to read a little bit about it, and then I kind of switched over to working on the list for marketing. So if I have some time later today… I know that’s… I mean, we’re kind of moving past Power BI, but I was just…
32 00:03:42.300 ⇒ 00:03:43.800 Chi Quinn: Kinda curious, cause…
33 00:03:43.820 ⇒ 00:03:53.430 Chi Quinn: yeah, it seemed like I would have access. But other than that, the report is good to go. My question, and not to…
34 00:03:53.730 ⇒ 00:03:55.220 Chi Quinn: Change the conversation, but just so.
35 00:03:55.220 ⇒ 00:03:56.189 Uttam Kumaran: No, no, no.
36 00:03:56.450 ⇒ 00:04:09.399 Chi Quinn: So who… I guess exactly, what is the process of notifying certain people? So, I guess the people who I’ve individually sent emails to, to say, hey, here’s this first
37 00:04:09.400 ⇒ 00:04:16.659 Chi Quinn: the first report I put out, now I want to update them with, hey, this is the latest one with, you know, more…
38 00:04:16.660 ⇒ 00:04:29.519 Chi Quinn: information, beyond just the session, and it’s more about the conference attendees. So, is that like a… I guess, do I just send that to the folks who I’ve emailed prior, or…
39 00:04:29.660 ⇒ 00:04:30.810 Kyle Wandel: Yeah.
40 00:04:31.010 ⇒ 00:04:48.669 Kyle Wandel: We don’t have a formal process, quite frankly, so yeah, usually you just, like, individually message or email the big group. Basically, you can BCC or CC, it doesn’t really matter. and so I think that would be good going forward, if there is, like, if you don’t know if you have any suggestions on terms of, like, a blast, not only email.
41 00:04:48.710 ⇒ 00:04:58.149 Kyle Wandel: But I don’t know if it’s, like, a notification or a sauna or something that we can do, like, hey, this report’s been updated. I don’t know if that’s possible based on certain things, but…
42 00:04:58.150 ⇒ 00:04:58.919 Uttam Kumaran: Yeah, I mean…
43 00:04:58.920 ⇒ 00:04:59.580 Kyle Wandel: do that.
44 00:04:59.890 ⇒ 00:05:03.770 Uttam Kumaran: Yeah, I think, kind of, there’s a couple ways. One is, like,
45 00:05:04.230 ⇒ 00:05:13.490 Uttam Kumaran: if we’re just talking about, like, there’s updates, then I think, like, a global blast is fine, because if we can’t isolate, necessarily, like, who’s using it.
46 00:05:13.610 ⇒ 00:05:16.990 Uttam Kumaran: then it’s worth everybody knowing.
47 00:05:17.420 ⇒ 00:05:21.560 Uttam Kumaran: I think on our side, Kai, I don’t know if you’re… if you have, like.
48 00:05:22.160 ⇒ 00:05:29.439 Uttam Kumaran: I mean, ultimately, it would be great if there… if it all kind of tracks back to a ticket, but I don’t know if you’re,
49 00:05:29.730 ⇒ 00:05:33.770 Uttam Kumaran: Keeping track of that anywhere else, but that way, it’s…
50 00:05:33.900 ⇒ 00:05:37.689 Uttam Kumaran: Our team has some coverage, like, hey, we actually updated this, and we sent the email.
51 00:05:37.990 ⇒ 00:05:39.569 Uttam Kumaran: You know, and…
52 00:05:40.070 ⇒ 00:05:51.470 Uttam Kumaran: so it’s kind of documented. I think my… one of my… probably my only other point is, like, if we’re talking about, like, deprecation, right, and, like, we’re trying to figure out, like, if we’re deleting dashboards.
53 00:05:51.580 ⇒ 00:05:55.629 Uttam Kumaran: in that situation, what I would suggest is,
54 00:05:56.550 ⇒ 00:05:58.380 Uttam Kumaran: Is you basically kind of, like.
55 00:05:58.590 ⇒ 00:06:05.319 Uttam Kumaran: do, like, a migration plan where, like, hey, this dashboard’s getting deleted, we’re gonna first start by, like.
56 00:06:05.670 ⇒ 00:06:08.130 Uttam Kumaran: Like, this is gonna be the deprecation date.
57 00:06:08.540 ⇒ 00:06:15.330 Uttam Kumaran: If you have any questions, let us know, and then sort of work your way towards, like, that date, and then start to sort of slowly remove people from access.
58 00:06:15.490 ⇒ 00:06:20.280 Uttam Kumaran: That’s, like, how I would typically handle, like, both those cases, but I don’t know, is that helpful?
59 00:06:20.770 ⇒ 00:06:29.049 Chi Quinn: Yeah, it is. Yeah, because speaking of with the inventory, yeah, there’s some that are so outdated, and the fact that
60 00:06:29.110 ⇒ 00:06:36.259 Chi Quinn: I was looking at just the metrics of who’s using some of those reports for the past 90 days. Of course.
61 00:06:36.260 ⇒ 00:06:51.059 Chi Quinn: There are cases where some are looking, some aren’t, but obviously it doesn’t necessarily mean that they’re not using it, it’s just a season, like, a report they use once every few seasons or something, so…
62 00:06:51.060 ⇒ 00:06:53.290 Chi Quinn: Yeah, I… yeah.
63 00:06:53.290 ⇒ 00:06:59.969 Uttam Kumaran: One way, also, I would recommend is, do you have that in, like, a doc, or, like, those metrics per dashboard?
64 00:07:00.460 ⇒ 00:07:03.460 Chi Quinn: I… so, I have it, like, in an Excel spreadsheet.
65 00:07:03.460 ⇒ 00:07:13.080 Uttam Kumaran: Or even Excel is fine, yeah, yeah, that’s more of what I meant. One way you could do that is, I think that’s a great deliverable to just kind of probably share with Catherine and say, hey, here’s what we found.
66 00:07:13.330 ⇒ 00:07:22.920 Uttam Kumaran: as you guys are a very seasonal business, so it is very likely that dashboards only get used, like, in January, and then… and then are maybe, like, not touched, so…
67 00:07:23.370 ⇒ 00:07:25.640 Uttam Kumaran: I think it’s… it’s probably good.
68 00:07:26.040 ⇒ 00:07:30.620 Uttam Kumaran: For us to probably take what you’ve inventoried so far, and then, like, maybe regroup
69 00:07:31.010 ⇒ 00:07:40.349 Uttam Kumaran: on that. One other thing you could do is you could look at, like, has this been used in the last 24 months? And, like, that’s probably a good, like.
70 00:07:40.570 ⇒ 00:07:43.650 Uttam Kumaran: thing to… Remove first.
71 00:07:43.910 ⇒ 00:07:47.860 Uttam Kumaran: Because then you can assume, okay, it’s been 2 years.
72 00:07:48.340 ⇒ 00:07:54.190 Uttam Kumaran: you hope that that uncovers a few, right? And then the rest, I think it’s probably best to get Catherine’s…
73 00:07:54.630 ⇒ 00:07:56.060 Uttam Kumaran: Ultimate feedback?
74 00:07:56.260 ⇒ 00:07:56.750 Chi Quinn: Right.
75 00:07:56.750 ⇒ 00:07:57.420 Uttam Kumaran: Yeah.
76 00:07:57.590 ⇒ 00:07:58.270 Chi Quinn: Yeah.
77 00:07:58.910 ⇒ 00:08:04.740 Chi Quinn: Yeah, I’ll start doing that. Yeah, because what I’ve been doing, because there’s 218
78 00:08:05.200 ⇒ 00:08:15.480 Chi Quinn: plus reports, and so I’ve been going by workspaces, and so I just started off with, yeah, of course, with CES. So I kind of have, like.
79 00:08:15.610 ⇒ 00:08:18.389 Chi Quinn: You know, just a first,
80 00:08:18.730 ⇒ 00:08:31.340 Chi Quinn: metrics on… as far as who’s been viewing it for the past 90 days, but I will look into, going back, because I know the, the previous data team, they have, like, this…
81 00:08:31.960 ⇒ 00:08:36.400 Chi Quinn: Excel extravaganza of just all
82 00:08:36.659 ⇒ 00:08:47.799 Chi Quinn: the Power BI reports, and I think they even have who usually views the reports, and who viewed the reports, like, previous years, so I have to take a look at that, and yeah, go from there.
83 00:08:48.120 ⇒ 00:08:48.670 Chi Quinn: Yeah.
84 00:08:48.670 ⇒ 00:08:57.119 Kyle Wandel: Yeah, I mean, the whole process of what’s in the Snowflake and, like, migrating now is, like, cleaning it up so we won’t have to worry about all those 200-plus reports, so…
85 00:08:58.090 ⇒ 00:08:59.039 Uttam Kumaran: Yeah, I think…
86 00:08:59.320 ⇒ 00:09:06.160 Uttam Kumaran: Kai, even if you want help, like, the formatting of that document, or if you want me to review, I’m happy to review that. I think…
87 00:09:06.340 ⇒ 00:09:07.609 Chi Quinn: I think giving…
88 00:09:07.800 ⇒ 00:09:11.369 Uttam Kumaran: that organization of, like, buy a workspace,
89 00:09:11.530 ⇒ 00:09:15.820 Uttam Kumaran: And then, basically, what we… what we kind of want to end up with is sort of, like, a…
90 00:09:16.910 ⇒ 00:09:25.329 Uttam Kumaran: You kind of want to get an inventory of every dashboard, and then we want to be able to rank by priority, the team, and, like, kind of, like, if there’s a single
91 00:09:25.440 ⇒ 00:09:29.290 Uttam Kumaran: Owner or, like, subject matter expert that we can tie to every dashboard.
92 00:09:29.470 ⇒ 00:09:33.930 Uttam Kumaran: And then ideally, you kind of want these other fields, which is called, like.
93 00:09:34.050 ⇒ 00:09:48.159 Uttam Kumaran: what is the next decision from the data team? Like, is this being deprecated? It needs to get scheduled for deprecation. It’s no action, or it needs changes, right? So that indicates, like, what is the next step for us to take?
94 00:09:48.410 ⇒ 00:09:49.630 Uttam Kumaran: And so.
95 00:09:49.960 ⇒ 00:10:03.659 Uttam Kumaran: those are commonly helpful fields to put in. Sort of similar to, like, how we’re thinking about Asana, right? It’s like, for all these sort of inventories, or, like, this tracking, my point of view is, like, you always try to make it clear, like, what is the next action?
96 00:10:03.800 ⇒ 00:10:15.979 Uttam Kumaran: to take, right? So, that way, when Catherine comes back and sees that sheet, it’s clear that… she’s like, we give… we’ve gone through a first pass. These are clearly… we recommend the deprecation. No one’s looked at this in a long time.
97 00:10:16.200 ⇒ 00:10:20.390 Uttam Kumaran: And these are the rest of them. How… where should we go from here, you know?
98 00:10:20.830 ⇒ 00:10:33.970 Chi Quinn: Yeah, so I’ll do that. What I’ll do, because, yeah, I know in the ticket, that… I was… I know, I guess once we look at the ticket, or whatever, because that’s what I was thinking, like, at least for that particular task, I might have to
99 00:10:33.970 ⇒ 00:10:44.110 Chi Quinn: break it down, because it’s almost like, you know, CES, CES conference one week, and then I think there are other various, workspaces, because there are
100 00:10:44.190 ⇒ 00:10:53.559 Chi Quinn: A few workspaces that I still have to look, into, and so it looks like, you know, if we’re going to go by the one-week sprint, per se, then I.
101 00:10:53.560 ⇒ 00:10:54.050 Uttam Kumaran: Yes.
102 00:10:54.050 ⇒ 00:10:58.109 Chi Quinn: to break it down, at least, and I’ll break it down by workspace, so…
103 00:10:58.110 ⇒ 00:11:00.949 Uttam Kumaran: Yes, I think breaking it down by workspace is fine.
104 00:11:00.950 ⇒ 00:11:01.870 Chi Quinn: Yeah.
105 00:11:01.870 ⇒ 00:11:09.899 Uttam Kumaran: Right? And again, I think the point here is this, like, we don’t want to have to go through another, like, broad inventory thing again.
106 00:11:10.400 ⇒ 00:11:22.690 Uttam Kumaran: for, like, another while, right? So, that’s probably the primary focus. And then, once we’re like, hey, we canvassed everything, we have everything in one place, we can already see that there’s a couple here that nobody’s using.
107 00:11:23.250 ⇒ 00:11:30.190 Uttam Kumaran: And as a team now, what do we do with the rest? And so Catherine may have some things as, like, oh, those are clearly, like, this person, we probably shouldn’t touch those.
108 00:11:30.650 ⇒ 00:11:50.019 Uttam Kumaran: let me go investigate these, and some of these are, like, oh yeah, we… there’s… that’s, like, totally deprecated, or there’s a better solution. The other thing that’s gonna be really helpful is, one, we’re gonna try to move some of those people from needing to go to Power BI to go directly to Snowflake. And so, another thing that we’re gonna hope to see is, like.
109 00:11:50.290 ⇒ 00:11:56.330 Uttam Kumaran: Are the metrics or insights from that dashboard now possible via Snowflake AI?
110 00:11:56.540 ⇒ 00:11:59.900 Uttam Kumaran: So that’s probably the only other, like, thing that…
111 00:12:00.010 ⇒ 00:12:02.910 Uttam Kumaran: Could be also helpful here is…
112 00:12:03.450 ⇒ 00:12:07.100 Uttam Kumaran: are you able to get all the same information, like, now via Snowflake?
113 00:12:07.470 ⇒ 00:12:24.529 Uttam Kumaran: And that way it makes the… it makes the shift really easy for folks. And then memberships, I feel like, is really our core thing, so any Power BI stuff touching memberships, I think it’s… you know, we have, like, 200, but if I could even continue to just whittle down to, like, where we can focus, I feel like that’s probably gonna be the theme.
114 00:12:24.830 ⇒ 00:12:25.500 Chi Quinn: Yeah.
115 00:12:26.100 ⇒ 00:12:45.289 Kyle Wandel: And you’re… you’re at a good time, Kai, because, this is, like Utom said, the busiest time for our data usage or reports, so you have a good idea of who’s using what, what’s important. So, like, conference scans, obviously, is relatively important, because I gotta send out a bunch of lists to their part, like, partners, basically. And then for CES, like, Dave Hennessy would be a really good person to reach out to.
116 00:12:45.380 ⇒ 00:13:02.999 Kyle Wandel: But it really is just, like, prospecting lists, and then throughout the year, the other major report is, like, member engagement. Like, that’s really the main one that’s used. I’m trying to think off the top of my head if anyone else really uses much, but, I mean, that’s really it, from my perspective. I know that from sales, I don’t really have much
117 00:13:03.080 ⇒ 00:13:07.639 Kyle Wandel: perspective on, because they’re very siloed and very close-guarded. But…
118 00:13:08.330 ⇒ 00:13:14.629 Kyle Wandel: that’s from… I think this… that was the big one, is membership, and then right after CES is just CES metrics, basically.
119 00:13:14.630 ⇒ 00:13:15.520 Chi Quinn: Okay.
120 00:13:16.830 ⇒ 00:13:22.100 Kyle Wandel: And that’s a wide range, as you’ve known… as you’ve noticed, a wide range of topics of what that looks like.
121 00:13:22.280 ⇒ 00:13:24.140 Chi Quinn: Yes, exactly.
122 00:13:25.820 ⇒ 00:13:38.939 Kyle Wandel: So, switching over to Snowflow with you, Tom, I don’t know if Catherine told me, but we did a couple, like, demos for the membership team. Cool. It was actually really, really cool. So, one day, we basically built a Streamlit app for them from scratch.
123 00:13:38.940 ⇒ 00:13:53.779 Kyle Wandel: Basically looking at renewals, so they helped us kind of develop the logic and develop everything from that standpoint. And it works really, really well. So, there’s a Streamlip app, I can’t remember what it’s called, exactly. Let me look really quick.
124 00:13:53.780 ⇒ 00:14:04.100 Kyle Wandel: But it… yeah, Renewal Tracker. It’s really, really cool, really, really in-depth, and works really well, so… and they were blown away by it, basically. So, I think they are pretty interested in maybe
125 00:14:04.130 ⇒ 00:14:05.340 Kyle Wandel: Creating some of their own apps?
126 00:14:05.340 ⇒ 00:14:06.240 Uttam Kumaran: Awesome.
127 00:14:06.240 ⇒ 00:14:15.220 Kyle Wandel: pretty nice. Yes. So, but that’s… from… so, I think that was a nice little update, nice little… they were… seemed very interested in it, so that was cool.
128 00:14:15.790 ⇒ 00:14:27.279 Uttam Kumaran: Okay, perfect. Yeah, so on our side, related to that, a lot of the ask on our team was to just make sure that Snowflake is, like, in a really, really good place, like, clean, and so one of the PRs that I pushed that I think I’ll…
129 00:14:27.350 ⇒ 00:14:44.000 Uttam Kumaran: just kind of waiting for Friday afternoon, because it’s going to change some roles and stuff to execute, is really just, like, all of the sort of role hierarchies, and making sure that we give the Streamlit viewers a role where they can view ProdMarts, and they can create Streamlit apps, and they sort of have, like.
130 00:14:44.120 ⇒ 00:14:52.200 Uttam Kumaran: There should be, like, nothing else, basically, on their screen, so I’m… that’s what I’m gonna get to get out and make sure all of those people that were added have that role.
131 00:14:52.490 ⇒ 00:15:07.900 Uttam Kumaran: And so I feel like that’s… that’s a big win for us. Additionally, like, we’ve kind of added a ton of documentation on, like, that right into there. So, for the future, it’s all really clear how to create new roles and things like that. It’s hopefully not something that we’re…
132 00:15:08.040 ⇒ 00:15:09.380 Uttam Kumaran: Gonna spend, like.
133 00:15:09.530 ⇒ 00:15:19.890 Uttam Kumaran: more time speaking about, like, on a weekly basis, but I think probably quarterly, we could just… if new people… if new types of users need to come in.
134 00:15:20.040 ⇒ 00:15:24.630 Uttam Kumaran: We can, you know, support them with the right snowflake rules.
135 00:15:25.410 ⇒ 00:15:44.509 Uttam Kumaran: So that’s… that’s really on… on our side. I think also Ashwini was able to ship a lot of, PRs this week. Some of those, like, I feel like, small changes from the memberships team. I think we got a lot of them out. There’s some on my… on my, review list this morning to continue to get out. We’re just sort of, like, marking those
136 00:15:44.630 ⇒ 00:15:48.910 Uttam Kumaran: Asana tickets is done as we, like, get through them, but,
137 00:15:49.320 ⇒ 00:15:59.910 Uttam Kumaran: I think, Kai, it’s probably more of a question is, like, yeah, should we, make those Asana changes in terms of, like… like, for example, if we take a good example, like, hey, we need to add this field.
138 00:16:00.250 ⇒ 00:16:10.189 Uttam Kumaran: the way it kind of works on the development side is, like, yeah, one of us will make that change, I typically review it, and then the field is there, wondering for that ticket.
139 00:16:10.770 ⇒ 00:16:13.620 Uttam Kumaran: Should we put that into, like, waiting for…
140 00:16:13.730 ⇒ 00:16:17.470 Uttam Kumaran: sign-off, basically, and then maybe Catherine is, like, the… or whoever…
141 00:16:17.700 ⇒ 00:16:20.560 Uttam Kumaran: This is kind of like an internal request, right? But, yeah.
142 00:16:22.020 ⇒ 00:16:34.369 Chi Quinn: Yeah, I was going to, I updated the fields, or I added the fields. I know, like, for the work type and the, and the other field that I can’t think of on top of my head, but I did add that, and I.
143 00:16:34.370 ⇒ 00:16:35.309 Uttam Kumaran: Oh, okay, great.
144 00:16:35.310 ⇒ 00:16:44.590 Chi Quinn: update the sections, but it looks like I might not have the permissions to do that, because… Okay. Yeah, so I… I’ll just have to wait, I guess until.
145 00:16:44.590 ⇒ 00:16:53.749 Uttam Kumaran: Any chance you could just walk me through, because I’ve just… I’m used to, like, Jira and Linear. I haven’t used Asana in a while. Can you… if you could just walk me through…
146 00:16:54.260 ⇒ 00:16:58.389 Uttam Kumaran: how to use, that, then I can start to do that.
147 00:16:58.460 ⇒ 00:17:07.239 Chi Quinn: Sure, let me see… yeah, it’s funny, because I’m… I’m a… I previously used Jira more so, so I’m just getting used to Asana.
148 00:17:07.240 ⇒ 00:17:11.069 Uttam Kumaran: Okay. So, I’m… I guess I’m technically a newbie.
149 00:17:11.210 ⇒ 00:17:14.640 Chi Quinn: As well. Let me see…
150 00:17:26.010 ⇒ 00:17:27.119 Chi Quinn: Okay.
151 00:17:28.300 ⇒ 00:17:37.180 Chi Quinn: Hopefully you can see that. So what I did was, basically, I just added the two other fields, the work type.
152 00:17:37.390 ⇒ 00:17:47.920 Chi Quinn: And the team, and what I did was, I… Oh, great. Perfect. Yes, so I go up to Customize, Fields, and then I just add.
153 00:17:48.140 ⇒ 00:17:50.190 Chi Quinn: Add, create, new. Great.
154 00:17:50.490 ⇒ 00:17:52.979 Chi Quinn: Yeah, it’s pretty straightforward from there.
155 00:17:53.490 ⇒ 00:17:58.280 Uttam Kumaran: Okay, okay. Oh, I see the team now, okay, I just didn’t click in to see it. Okay, perfect.
156 00:18:00.420 ⇒ 00:18:18.510 Chi Quinn: Yeah. And, oh, this is… Yeah, and so I tried to change this or update this, but it looks like at the moment, I don’t have the permissions, but I can, or one of us can update it. But yeah, I do like the waiting for sign-off, because at least for me, I like confirmation. You know, when I pass.
157 00:18:18.510 ⇒ 00:18:25.880 Uttam Kumaran: Yeah, I mean, I’m… I’m the same way. You said it perfectly. I just, like, I don’t want throwing stuff in the ether, so I’m like…
158 00:18:25.880 ⇒ 00:18:26.470 Chi Quinn: I ain’t…
159 00:18:26.470 ⇒ 00:18:33.889 Uttam Kumaran: So what do I do? It’s like, okay, then I’m just gonna probably just ping Catherine in Slack, but I feel like that’s kind of, like, not a really organized way, so…
160 00:18:34.920 ⇒ 00:18:35.410 Chi Quinn: Yeah.
161 00:18:35.410 ⇒ 00:18:36.140 Uttam Kumaran: Yeah.
162 00:18:36.700 ⇒ 00:18:42.999 Uttam Kumaran: Another question I had is, like, should we… is there any… should we make those fields, like,
163 00:18:43.120 ⇒ 00:18:44.300 Uttam Kumaran: required.
164 00:18:46.860 ⇒ 00:18:50.529 Chi Quinn: for… I’m… I would… you know…
165 00:18:50.810 ⇒ 00:18:57.640 Chi Quinn: It’s funny enough, because I want to say yes, and I guess I was trying to think of…
166 00:18:58.000 ⇒ 00:19:08.979 Chi Quinn: use cases or, you know, a situation where, you know, maybe we wouldn’t need it, and I couldn’t think of… I mean, at the moment, I couldn’t think of anything, okay. But I’m…
167 00:19:09.190 ⇒ 00:19:14.960 Chi Quinn: I’m all for adding tags, but because it would be good for reporting purposes, like, once we, you know.
168 00:19:15.210 ⇒ 00:19:30.209 Chi Quinn: review, like, the work and everything, I think it would be great, more so on the internal side. As far as the forms, like, for people to write on the forms, I feel like, for now, that would be optional, because
169 00:19:30.290 ⇒ 00:19:42.769 Chi Quinn: Some may not have, like, the definitions that we might apply, it might be different for people outside of the team when they put in, you know, their request. They might have, oh, it’s this, but…
170 00:19:42.810 ⇒ 00:19:51.810 Chi Quinn: it might be something… I mean, that’s something we could change internally, but I was thinking about that as far as, like, making it required. I would say…
171 00:19:54.050 ⇒ 00:19:57.860 Chi Quinn: I would say, sure, more so internal.
172 00:19:57.860 ⇒ 00:19:58.280 Uttam Kumaran: Okay.
173 00:19:58.280 ⇒ 00:20:05.960 Chi Quinn: But I’ll have to think about that. Let me… let me think about that, and I’ll let you know when is that? Monday, or the next time we meet.
174 00:20:05.960 ⇒ 00:20:06.510 Uttam Kumaran: Okay.
175 00:20:06.510 ⇒ 00:20:07.210 Chi Quinn: Yeah.
176 00:20:09.370 ⇒ 00:20:10.310 Uttam Kumaran: Okay, perfect.
177 00:20:12.120 ⇒ 00:20:22.790 Kyle Wandel: Is there a way to make it mandatory by step? So not necessarily by the, creating of the task, but, like, let’s say if we want membership to review, they get a notification, then we need them to…
178 00:20:23.420 ⇒ 00:20:30.780 Kyle Wandel: do it, basically, before they can hand it off over. I don’t know. That’d be only… that’d be the way I would think that it’d be mandatory, not necessarily having to do it from the very beginning.
179 00:20:33.150 ⇒ 00:20:33.840 Chi Quinn: Yeah.
180 00:20:33.840 ⇒ 00:20:38.259 Uttam Kumaran: Yeah, worth thinking about, because I’m gonna go back on our tickets and just try to update them.
181 00:20:38.660 ⇒ 00:20:43.330 Uttam Kumaran: But yeah, I kinda… I kinda… I feel like it’s… It just helps.
182 00:20:43.760 ⇒ 00:20:47.359 Uttam Kumaran: we’re not… because I feel like if we don’t fill out in the beginning, we may just get lazy.
183 00:20:47.510 ⇒ 00:20:51.020 Uttam Kumaran: I’m just gonna forget to kind of make sure they’re all filled out, so…
184 00:20:51.440 ⇒ 00:20:58.639 Uttam Kumaran: Having them come in that way, at least we can adjust it if it’s… even if it’s wrong, we can just adjust it, but… at least it’s filled.
185 00:20:59.570 ⇒ 00:21:04.990 Uttam Kumaran: Because I think probably in, like, 3-4 weeks, you’ll start to have some good data on, like, where all our requests are coming from.
186 00:21:04.990 ⇒ 00:21:06.680 Kyle Wandel: Yeah, I think so.
187 00:21:08.260 ⇒ 00:21:08.840 Uttam Kumaran: Okay.
188 00:21:09.820 ⇒ 00:21:12.219 Uttam Kumaran: Cool, okay, great.
189 00:21:12.220 ⇒ 00:21:13.279 Kyle Wandel: I feel like.
190 00:21:13.860 ⇒ 00:21:18.050 Uttam Kumaran: So let me just check my list, so…
191 00:21:20.140 ⇒ 00:21:25.680 Uttam Kumaran: Yeah, I don’t know, Kyle and Ashwin, if you guys had a chance to hop on to sort of go through…
192 00:21:25.960 ⇒ 00:21:28.290 Uttam Kumaran: that PR.
193 00:21:28.610 ⇒ 00:21:43.410 Kyle Wandel: Yeah, we did. It was nice. It was nice to see the whole process go through, and now I understand that it’s, like, a 24-hour automatic update, so that was really cool, and so now I can go in, and I feel much more conf… I feel confident, like, building the pipeline, now I feel confident that it’ll show up.
194 00:21:43.690 ⇒ 00:21:48.140 Uttam Kumaran: So that’s the thing, I was like, I don’t want you to have to worry about, like, oh, I need to…
195 00:21:48.660 ⇒ 00:21:49.830 Uttam Kumaran: I need to, like…
196 00:21:50.150 ⇒ 00:22:02.140 Uttam Kumaran: be able to build the orchestration architecture, but it’s really helpful for you to know that… how, like, how it works, so that you as a data model developer are like, I can comfortably push models.
197 00:22:02.540 ⇒ 00:22:11.020 Uttam Kumaran: I know when they… how they get executed in staging to go verify, and then I know that there’s this review process, and then they get merged.
198 00:22:11.360 ⇒ 00:22:17.129 Uttam Kumaran: And we can tighten all that up, right? So over time, but that was sort of my goal, so that’s great.
199 00:22:17.370 ⇒ 00:22:35.210 Uttam Kumaran: No, that’s perfect, and I think I was talking to Catherine, but I’m, like, one… I think she told you as well, but I’m, like, one of those kids that likes to play until it breaks it, basically. Yeah, that’s great! I’m the same way. I don’t… I’m not a, like, I don’t read, like, the book, or the… I don’t read the instructions very often in school, so I always miss the, like.
200 00:22:35.330 ⇒ 00:22:40.469 Uttam Kumaran: if you make sure to read this far and, like, add this thing to the end of your homework, like, I’d never do that.
201 00:22:40.810 ⇒ 00:22:50.079 Uttam Kumaran: I’ve always run back, run right in, and so I feel that. So, this way, like, there’s… there is, I would say, very low risk right now of breaking anything.
202 00:22:50.080 ⇒ 00:22:50.480 Kyle Wandel: Yep.
203 00:22:50.480 ⇒ 00:22:56.179 Uttam Kumaran: Except you’re just gonna get annoying, like, alerts on your laptop for, like, Git stuff. It’s probably it.
204 00:22:56.340 ⇒ 00:23:04.180 Uttam Kumaran: It will become a little bit more, like, safeguarded, probably, like, a few months, where, like, there’s, like, a lot of reporting built on it, but again, it’s…
205 00:23:04.360 ⇒ 00:23:11.159 Uttam Kumaran: a lot of the ways we’ve architected Snowflake and the dbt process is to guard against anybody making
206 00:23:11.290 ⇒ 00:23:14.029 Uttam Kumaran: sort of mistakes like that, you know? So…
207 00:23:14.240 ⇒ 00:23:16.479 Uttam Kumaran: that’s really great to hear.
208 00:23:17.050 ⇒ 00:23:34.419 Kyle Wandel: Yep, that works, and I’m… so today, I’m just kind of, like, finalizing some of the reports that you guys… not really finalized, but updating some of the reports, so mainly the CES one. I don’t know if I’ll call it member engagement, but I’ll update it to be attendees, basically. The registration report is in ProdMarts, but I’ll do the attendee pipeline now.
209 00:23:34.620 ⇒ 00:23:44.550 Kyle Wandel: Because that will be another report that people like is more… they really only care about attendees, but it’s nice to have registration for our own, like, data analysis purposes.
210 00:23:44.550 ⇒ 00:23:45.930 Uttam Kumaran: Okay, okay, cool.
211 00:23:47.310 ⇒ 00:24:04.169 Kyle Wandel: But yeah, that’s pretty much it. Everything’s going well from my standpoint. I think Kai’s working pretty well on Power BI, and the amount of data people want is slowing down a little bit, which is good. Okay. I’m sure it’ll kick back up here and there, and then we have one big super user that we’ve been told is, like, just having fun.
212 00:24:04.170 ⇒ 00:24:05.020 Uttam Kumaran: Excellent.
213 00:24:05.020 ⇒ 00:24:12.949 Kyle Wandel: He has been sending Catherine a bunch of queries to basically QA to make sure he’s pulling the right information, so that’s good to know.
214 00:24:12.950 ⇒ 00:24:13.550 Uttam Kumaran: Okay.
215 00:24:13.750 ⇒ 00:24:17.010 Uttam Kumaran: Maybe one thing also, if you, like, want some light…
216 00:24:17.330 ⇒ 00:24:20.170 Uttam Kumaran: Friday reading is to have a look at
217 00:24:20.380 ⇒ 00:24:23.929 Uttam Kumaran: out of this doc on, like, what progress we made on the ID stitching.
218 00:24:23.930 ⇒ 00:24:26.059 Kyle Wandel: Yeah, yeah, I actually made a comment, so…
219 00:24:26.060 ⇒ 00:24:26.969 Uttam Kumaran: Cool, okay, okay.
220 00:24:26.970 ⇒ 00:24:33.869 Kyle Wandel: Yeah, yeah, took a quick glance, I think I should comment, and then my own little analysis in terms of just how it…
221 00:24:33.870 ⇒ 00:24:34.560 Uttam Kumaran: Awesome.
222 00:24:34.560 ⇒ 00:24:45.300 Kyle Wandel: ran. And so… yeah, that’s really good. It’s really good progress you guys made. Looking forward to that table. Once we have that table, like, everything becomes a lot smoother, a lot more accurate.
223 00:24:45.300 ⇒ 00:24:50.270 Uttam Kumaran: So, like, this is exactly sort of what we explained as, like, we’re gonna do waterfall, we’re gonna match
224 00:24:50.460 ⇒ 00:24:57.280 Uttam Kumaran: As many ways possible, and then we’ll come up with some logic on, like, take this one first, if not this one, if not this one.
225 00:24:57.590 ⇒ 00:24:59.919 Uttam Kumaran: And, like, sort of, like.
226 00:25:00.290 ⇒ 00:25:18.690 Uttam Kumaran: continue to… to, like, look at this number as, like, our KPI, which is, like, how many are stitched, and then, ultimately, like, we want to get this to 100, and then it’s sort of… then we look at the accuracy next. Yeah. Right? Because then the accuracy is going to be, like, okay, for some, we need to take this versus this.
227 00:25:19.250 ⇒ 00:25:29.549 Uttam Kumaran: to get it accurate, or some of these… this data source is, like, often inaccurate, we need to bring in sales intel, or whatever. So, that’s sort of, like, the order of operations.
228 00:25:29.600 ⇒ 00:25:41.639 Kyle Wandel: Yep, that’s perfect. I mean, like I said, fantastic work at the beginning, and, like, the hardest part will definitely be, like, the registration data set, but doing it on dam organizations will be really nice. The biggest thing is that
229 00:25:41.660 ⇒ 00:26:00.660 Kyle Wandel: definitely, I was telling Mishwini this, like, 90% of the emails in… or the people in registration will not be in remembers. So, like, the stitching of it from an individual standpoint, probably not important, but trying to tie it back to the organization as best as possible, is what’s important.
230 00:26:00.660 ⇒ 00:26:01.980 Uttam Kumaran: Okay, okay.
231 00:26:01.980 ⇒ 00:26:03.700 Kyle Wandel: It’ll be really messy.
232 00:26:03.700 ⇒ 00:26:04.280 Uttam Kumaran: Yeah, yeah, yeah.
233 00:26:04.280 ⇒ 00:26:06.070 Kyle Wandel: Nations should have everything.
234 00:26:06.070 ⇒ 00:26:06.560 Uttam Kumaran: Yes.
235 00:26:06.560 ⇒ 00:26:12.220 Kyle Wandel: Basically, but registered from the CES data will have a lot of nulls.
236 00:26:12.220 ⇒ 00:26:13.290 Uttam Kumaran: Okay, okay.
237 00:26:15.190 ⇒ 00:26:24.070 Uttam Kumaran: Okay, cool. Well, that’s all I had. Well, yeah, let me know how I can be helpful today. And then, yeah, Kai, if I can be helpful on anything on the Power BI Excel
238 00:26:24.400 ⇒ 00:26:27.829 Uttam Kumaran: thing. I think, is… Catherine’s out until, like, Wednesday?
239 00:26:27.830 ⇒ 00:26:28.400 Kyle Wandel: Yeah, when.
240 00:26:28.400 ⇒ 00:26:29.360 Uttam Kumaran: Right? Okay.
241 00:26:29.360 ⇒ 00:26:30.189 Kyle Wandel: So I guess…
242 00:26:30.190 ⇒ 00:26:33.870 Uttam Kumaran: We’ll plan on chatting, like, I think we have… I don’t know if that’s…
243 00:26:34.020 ⇒ 00:26:36.759 Uttam Kumaran: Maybe I’ll grab time on Monday for us to just, like, regroup.
244 00:26:36.900 ⇒ 00:26:38.780 Uttam Kumaran: Is there, like, a particular time that…
245 00:26:39.170 ⇒ 00:26:41.840 Uttam Kumaran: Works best for everyone, or, like, this morning?
246 00:26:42.470 ⇒ 00:26:42.860 Kyle Wandel: Yeah, it’s…
247 00:26:42.860 ⇒ 00:26:44.679 Uttam Kumaran: Is Monday a holiday, by the way?
248 00:26:44.680 ⇒ 00:26:48.369 Kyle Wandel: It’s a holiday, so we’re… Oh, okay, okay, cool, alright, alright. Let’s enjoy that long holiday.
249 00:26:48.370 ⇒ 00:26:51.340 Uttam Kumaran: Okay, yeah, yeah, let’s do… maybe we’ll do Tuesday sometime.
250 00:26:51.650 ⇒ 00:26:52.210 Kyle Wandel: Yeah.
251 00:26:52.210 ⇒ 00:26:52.810 Chi Quinn: Yeah.
252 00:26:52.960 ⇒ 00:27:01.360 Kyle Wandel: That sounds good. I can’t remember if she gets back Wednesday, or if she’s… if she’s… she gets back Wednesday, but she wants to take the rest of Wednesday off. I can’t remember what.
253 00:27:01.360 ⇒ 00:27:08.780 Uttam Kumaran: Oh, you’re right, actually, I feel like, I think she may be off the rest of the week, the whole week, but she’s like, I may poke in.
254 00:27:08.780 ⇒ 00:27:09.679 Kyle Wandel: Yep. She’s like.
255 00:27:09.680 ⇒ 00:27:10.320 Uttam Kumaran: I may…
256 00:27:10.660 ⇒ 00:27:21.539 Uttam Kumaran: like, poke in and see stuff, so… maybe we just, like… I can send a note Tuesday, and we can either do async, or we can hop on briefly, like, how about that? I’ll just put it in my calendar.
257 00:27:21.540 ⇒ 00:27:27.200 Kyle Wandel: Yeah, that’d be great. And I know she’ll… she’ll want to, like, she’ll… she’ll be curious, she’ll… she’s…
258 00:27:27.200 ⇒ 00:27:31.729 Uttam Kumaran: Yeah, I can totally… so I will… I’ll send a note on what we talked about here today.
259 00:27:31.730 ⇒ 00:27:32.100 Kyle Wandel: Perfect.
260 00:27:32.100 ⇒ 00:27:36.409 Uttam Kumaran: And then, similarly on Tuesday, we’ll just do that in the channel so she can see that.
261 00:27:37.650 ⇒ 00:27:42.080 Uttam Kumaran: I’m sure she’s just like, what is the team up to? I just want to make sure everyone’s okay.
262 00:27:42.080 ⇒ 00:27:44.999 Kyle Wandel: She’s like, she can’t enjoy her time away from her.
263 00:27:45.810 ⇒ 00:27:46.940 Kyle Wandel: I’m working on, so…
264 00:27:46.940 ⇒ 00:27:51.509 Uttam Kumaran: I didn’t ask her where she was going, so maybe I gotta ask, yeah.
265 00:27:51.510 ⇒ 00:27:53.450 Kyle Wandel: Exactly. Italy, right?
266 00:27:54.070 ⇒ 00:27:55.170 Chi Quinn: Oh, wonderful.
267 00:27:55.680 ⇒ 00:28:10.620 Kyle Wandel: They’re doing… I can’t remember what she said, but there’s, like, some big gala, or basically a big event, like, really to do, basically, really Richie. You have to be in the know, and so one of her friends is in the know really well, and so Catherine’s gonna wear, like, a full-on dress and everything, so that would be surprising.
268 00:28:10.620 ⇒ 00:28:20.169 Uttam Kumaran: Let’s go! Let’s go! I feel like this weekend, we’re gonna go… in Austin, there’s an, there’s a really fun…
269 00:28:20.500 ⇒ 00:28:35.000 Uttam Kumaran: pop-punk cover band that plays, like, on holiday, so we’re going for Valentine’s Day at Saturday night. So that’s my, like, fancy… fancy gala event that I’m pumped for, just to hear, like, Green Day and My Chemical Romance.
270 00:28:37.710 ⇒ 00:28:41.309 Kyle Wandel: Perfect, we’re staying in, so, you can enjoy it, though.
271 00:28:41.310 ⇒ 00:28:46.450 Uttam Kumaran: I appreciate it, yeah. Okay, thank you, everybody. Appreciate it.