Meeting Title: Eden: Omni migration sprint planning huddle Date: 2026-02-12 Meeting participants: Awaish Kumar, Mustafa Raja, Greg Stoutenburg, Demilade Agboola
WEBVTT
1 00:01:55.530 ⇒ 00:01:57.159 Greg Stoutenburg: Hey guys, how’s it going?
2 00:02:01.740 ⇒ 00:02:03.230 Awaish Kumar: All good, I need you?
3 00:02:04.560 ⇒ 00:02:06.559 Greg Stoutenburg: Doing alright, just getting set up.
4 00:02:10.620 ⇒ 00:02:12.140 Greg Stoutenburg: Sorry, one second.
5 00:02:20.580 ⇒ 00:02:21.420 Greg Stoutenburg: Okay.
6 00:02:21.600 ⇒ 00:02:26.710 Greg Stoutenburg: Cool. Alright, well, thanks for hopping on. So this is a follow-up to the,
7 00:02:26.710 ⇒ 00:02:41.870 Greg Stoutenburg: to the conversation that we had yesterday about planning for the migration of Eden from Tableau onto Omni. Just wanted to review the plan and share some context to make sure that we’re all on the same page and can get going on this thing. So…
8 00:02:42.130 ⇒ 00:02:45.989 Greg Stoutenburg: The background is that, as of right now.
9 00:02:46.000 ⇒ 00:03:04.559 Greg Stoutenburg: The plan is for Omni… Sorry, for Tableau to be turned off on the 20th of February, which puts us in a pretty significant time crunch. Robert has asked for an extension of 2 weeks, which would get us out to March 6th, but as of right now, we’re hoping to… we’re shooting to get this done in about a week.
10 00:03:04.600 ⇒ 00:03:20.159 Greg Stoutenburg: So, we’re meeting with, with the sales engineer, Max, at Omni this afternoon. Everyone on this call has an invitation in their calendar. Demi, I marked you as optional, just because, when we were splitting up tickets yesterday, we only signed one of them to you.
11 00:03:20.160 ⇒ 00:03:30.259 Greg Stoutenburg: So, if you can’t make it, that’s okay, and we’ll catch you up after. And Awashi, I know that you have a conflict part of the way through that hour, but, you know, same deal. We’ll just try to prioritize your stuff at the beginning of the call.
12 00:03:31.280 ⇒ 00:03:38.229 Greg Stoutenburg: Okay. So, Awash, we were able to chat briefly yesterday about what’s going to be needed for this,
13 00:03:38.960 ⇒ 00:03:42.610 Greg Stoutenburg: here’s what I have for initial steps.
14 00:03:42.930 ⇒ 00:03:43.930 Greg Stoutenburg: Right now.
15 00:03:44.940 ⇒ 00:03:56.290 Greg Stoutenburg: So, the first thing is to, set the priorities for which dashboards need to be moved over. So, what’s in Tableau now that’s going to need to show up in Omni.
16 00:03:57.850 ⇒ 00:04:04.639 Greg Stoutenburg: to look at what those dashboards are as far as, like, who’s actually using them, and, to begin building them in Omni.
17 00:04:05.660 ⇒ 00:04:24.750 Greg Stoutenburg: And finally, to make sure that we have access to everything that we need to have access to to be able to do this. As of right now, I believe UTOM has requested for the Omni deployment for Eden to be set up, so Omni should be giving us the keys to that right away, if they haven’t already.
18 00:04:25.290 ⇒ 00:04:42.449 Greg Stoutenburg: And from there, basically what we need to do is look at all of the… look at all of what we have in BigQuery that’s putting information into Tableau, and make sure that those models are in good shape, and can start sending information over to Omni instead.
19 00:04:43.730 ⇒ 00:04:49.009 Greg Stoutenburg: And then we’ll start validating that those dashboards look good, and that they…
20 00:04:49.010 ⇒ 00:04:51.140 Awaish Kumar: I see some of the tickets assigned to me.
21 00:04:51.360 ⇒ 00:04:52.439 Awaish Kumar: What’s that?
22 00:04:53.410 ⇒ 00:04:58.019 Awaish Kumar: I see some of the tickets which are assigned to me for creating Omni topics.
23 00:04:59.030 ⇒ 00:05:04.250 Awaish Kumar: what, So this means it’s exactly, bringing in all the…
24 00:05:04.410 ⇒ 00:05:08.529 Awaish Kumar: data from BigQuery and creating exact topics, right?
25 00:05:08.700 ⇒ 00:05:09.400 Awaish Kumar: Come on.
26 00:05:10.560 ⇒ 00:05:13.970 Greg Stoutenburg: Yeah, so topic seems to be a technical term for Omni.
27 00:05:14.260 ⇒ 00:05:16.830 Awaish Kumar: is basically… Gross.
28 00:05:17.430 ⇒ 00:05:19.689 Awaish Kumar: It’s something where you basically have to
29 00:05:20.160 ⇒ 00:05:25.370 Awaish Kumar: Figure out, for example, if it’s a product topic, then all the data related to product
30 00:05:25.650 ⇒ 00:05:29.640 Awaish Kumar: If it is coming from multiple tables, you have to bring in and join.
31 00:05:30.360 ⇒ 00:05:32.599 Awaish Kumar: And, and get it in one…
32 00:05:34.050 ⇒ 00:05:38.890 Awaish Kumar: Single shape. So, yeah, I would rather assign it to either
33 00:05:40.620 ⇒ 00:05:45.939 Awaish Kumar: Mustafa, or… yeah, or someone who is going to work in Omni itself.
34 00:05:47.320 ⇒ 00:05:50.020 Greg Stoutenburg: Okay, you think this one should go to Mustafa?
35 00:05:51.070 ⇒ 00:05:54.379 Awaish Kumar: Yeah, I’m not sure, like, who’s actually building the dashboards in Omni.
36 00:05:56.110 ⇒ 00:06:15.079 Greg Stoutenburg: So, I mean, once all the information is in… once everything from BigQuery is in Omni, I can be working on that, and anything that’s… anywhere that I need help, I’ll just ask for help, you know, as there’s a lot of stuff that’s in Tableau. So, there will be… because it’s a high-volume enough project, I’ll ask for help, but I can at least take the point on that.
37 00:06:16.120 ⇒ 00:06:34.260 Awaish Kumar: Yeah, like, there are a few things. Number one is connection. Once we connect with BigQuery, we can access all the databases, all the tables and everything, and to set up that, I can help you with setting up the BigQuery and the permissions and all of that, so you have access to all those tables. But once you have access.
38 00:06:34.400 ⇒ 00:06:39.809 Awaish Kumar: Like, anyone who is in Tableau can go and create those topics out of those three graphs.
39 00:06:40.670 ⇒ 00:06:42.340 Greg Stoutenburg: Okay, that’s helpful.
40 00:06:42.890 ⇒ 00:06:44.719 Greg Stoutenburg: Yeah, Demi, were you gonna say something?
41 00:06:45.300 ⇒ 00:06:58.229 Demilade Agboola: Yeah, I was just gonna say, topics are basically, like, testing of it as datasets, they’re… it’s not that complex. It’s just literally a data set. You’re just joining tables and trying to have, like, what datasets you need to answer to build whatever dashboards.
42 00:06:58.720 ⇒ 00:06:59.520 Greg Stoutenburg: Okay.
43 00:06:59.650 ⇒ 00:07:06.490 Greg Stoutenburg: Okay, great. Okay, so this is, as far as the backend, this is… Well…
44 00:07:06.930 ⇒ 00:07:13.420 Greg Stoutenburg: Yeah, this is one of the core pieces that needs to be completed so that tables can be built in Omni.
45 00:07:14.520 ⇒ 00:07:16.490 Greg Stoutenburg: Okay.
46 00:07:17.680 ⇒ 00:07:22.289 Greg Stoutenburg: Provision the instance, that’s what we just talked about. First, we need to get access to Omni.
47 00:07:23.030 ⇒ 00:07:25.660 Greg Stoutenburg: The baseline semantic layer,
48 00:07:26.130 ⇒ 00:07:35.219 Greg Stoutenburg: Demi, this is one that we had talked about, possibly for you, but then I think we reassigned it to Awash yesterday. Awish and Demi, do you understand what this is asking for?
49 00:07:38.540 ⇒ 00:07:41.639 Demilade Agboola: So I think this is just basically, like,
50 00:07:43.000 ⇒ 00:07:48.269 Demilade Agboola: the definitions, so that if people want to use the AI features of it.
51 00:07:48.440 ⇒ 00:07:52.009 Demilade Agboola: It’s… it does the appropriate thing, it doesn’t, you know…
52 00:07:52.600 ⇒ 00:07:55.709 Demilade Agboola: It has enough context to be able to answer the questions, basically.
53 00:07:55.920 ⇒ 00:07:58.159 Demilade Agboola: So that’s what… that’s what this is about.
54 00:07:58.660 ⇒ 00:08:03.599 Greg Stoutenburg: Okay. Do you need any resources in order to be able to do this for Omni?
55 00:08:05.320 ⇒ 00:08:12.530 Demilade Agboola: I think… In certain cases, it would just be things around, like.
56 00:08:13.960 ⇒ 00:08:26.349 Demilade Agboola: some of, like, our… like, for instance, order summary table, right? We’ll need to just specify that, you know, for unique… for the unique grain, it has to be the transactional row number as it goes to 1.
57 00:08:26.560 ⇒ 00:08:31.770 Greg Stoutenburg: I wish you’ll get that, I don’t think you will, but, like, things like that, just basically trying to ensure that.
58 00:08:31.770 ⇒ 00:08:36.450 Demilade Agboola: If anyone is using the AI features by itself, it doesn’t give them numbers that are…
59 00:08:38.020 ⇒ 00:08:45.260 Demilade Agboola: are wild. Like, you know, the numbers have to be expressed because the context of what the data is is clearly stated.
60 00:08:45.370 ⇒ 00:08:48.549 Demilade Agboola: In either some form of documentation that you can read.
61 00:08:50.300 ⇒ 00:08:51.819 Greg Stoutenburg: Okay. Okay.
62 00:08:51.940 ⇒ 00:08:59.140 Greg Stoutenburg: Alright. Now, so this is gonna be something that’s… either you just know how to do this, or this is going to be somewhere in the Omni developer docs.
63 00:08:59.410 ⇒ 00:09:05.320 Awaish Kumar: But what I’m saying, like, if we have the topic, like, I think topics have all these
64 00:09:05.790 ⇒ 00:09:13.340 Awaish Kumar: Topics should have all these things, right? We have… in the topics, you can define models, table, I think you can even write definitions, right?
65 00:09:14.220 ⇒ 00:09:16.629 Demilade Agboola: Yeah, great definitions in models as well.
66 00:09:17.140 ⇒ 00:09:18.210 Awaish Kumar: Yeah.
67 00:09:18.600 ⇒ 00:09:22.309 Demilade Agboola: On your topic, sorry, yeah. Yeah. I was going to… I was going to say…
68 00:09:23.490 ⇒ 00:09:33.839 Demilade Agboola: What might be helpful is that for different dashboards, I don’t know who’s going to build the topics, but for different dashboards, there are any joins done to be able to make the dashboards.
69 00:09:33.940 ⇒ 00:09:38.630 Demilade Agboola: We can have different topics for the different dashboards, if that’s something we want to do.
70 00:09:38.880 ⇒ 00:09:52.090 Demilade Agboola: That way, it’s very easy to kind of see what’s going on. Or, if we just don’t want to do that, we could just do the larger topics and then use them for individual dashboards by themselves, whichever, like, will be faster.
71 00:09:55.060 ⇒ 00:09:55.750 Greg Stoutenburg: Okay.
72 00:09:58.440 ⇒ 00:10:04.200 Greg Stoutenburg: Okay, that’s good. That seems like something that we can determine, as we take some initial steps on this.
73 00:10:08.590 ⇒ 00:10:14.659 Greg Stoutenburg: Now, if we… just to make sure that I understand this correctly, When building the semantic layer.
74 00:10:14.800 ⇒ 00:10:24.399 Greg Stoutenburg: If we have topics that are sort of custom-built for particular dashboards, will that limit the user’s ability to use the AI tool?
75 00:10:25.480 ⇒ 00:10:37.099 Greg Stoutenburg: Because they would have to be, sort of, like, in the right place, or asking about a specific dashboard, rather than if they just go, you know, they log into their Omni, they click AI Assistant, they start typing stuff.
76 00:10:40.010 ⇒ 00:10:42.719 Greg Stoutenburg: would they be… does that make sense, what I’m asking? So, like.
77 00:10:42.720 ⇒ 00:10:43.400 Demilade Agboola: I’m not sure…
78 00:10:43.400 ⇒ 00:10:43.900 Greg Stoutenburg: Meaning.
79 00:10:43.900 ⇒ 00:10:44.460 Demilade Agboola: Gotcha.
80 00:10:44.820 ⇒ 00:10:47.719 Greg Stoutenburg: Yeah, the question that I’m trying to ask is,
81 00:10:48.790 ⇒ 00:10:57.899 Greg Stoutenburg: If the context that’s supplied to the AI assistant is specific to particular dashboards, will the user need to know that and…
82 00:10:58.670 ⇒ 00:11:01.170 Greg Stoutenburg: And behave…
83 00:11:01.560 ⇒ 00:11:10.740 Greg Stoutenburg: You know, ask questions that are tailored to a specific dashboard, rather than just using natural language the way that a speaker would in order to get useful information.
84 00:11:11.900 ⇒ 00:11:17.630 Demilade Agboola: Okay, so first things, the context will be applied, like, the semantic layer context is applied to datasets, not dashboards.
85 00:11:18.300 ⇒ 00:11:20.440 Demilade Agboola: Like, to the data, you’re trying to explain
86 00:11:20.750 ⇒ 00:11:26.990 Demilade Agboola: you know, what this data contains. If, for instance, the data doesn’t have anything for the last, say.
87 00:11:27.580 ⇒ 00:11:35.410 Demilade Agboola: So maybe cuts off for the current day, for instance, right? We don’t add data for the current day, because it would cause the data to fall.
88 00:11:35.800 ⇒ 00:11:40.349 Demilade Agboola: Or to affect, you know, the 7-day rolling average for some of the data.
89 00:11:40.720 ⇒ 00:11:45.049 Demilade Agboola: Okay. So that’s part of the context we will add into, like, the dataset.
90 00:11:45.830 ⇒ 00:11:54.000 Demilade Agboola: And then, if someone comes and says, hey, can I get this data? It’s able to say, hey, we have this data, but this is also the assumption we’re making.
91 00:11:54.340 ⇒ 00:12:00.050 Demilade Agboola: So I feel like it’s one of those things where, like, the datasets will have, like.
92 00:12:00.540 ⇒ 00:12:08.190 Demilade Agboola: Just, like, documentation about what’s going on, what assumptions were made, what the individual, like, fields or columns mean.
93 00:12:08.620 ⇒ 00:12:18.759 Demilade Agboola: Yeah. And then, when you go into AI Assistant and ask questions, it should be able to go around the different datasets and topics and be able to figure out, like, this is what’s needed.
94 00:12:18.860 ⇒ 00:12:20.970 Demilade Agboola: Based off the context that’s been provided.
95 00:12:21.570 ⇒ 00:12:23.210 Greg Stoutenburg: Okay. Okay.
96 00:12:23.400 ⇒ 00:12:25.479 Greg Stoutenburg: Alright, yeah, I think I understand what you’re saying.
97 00:12:25.480 ⇒ 00:12:30.019 Awaish Kumar: Yeah, Demolara is… like, what is, like, the semantic layer in Omni? Is it…
98 00:12:30.510 ⇒ 00:12:34.480 Awaish Kumar: Is it Omni semantic layer, kind of… some kind of feature in Omni, or…
99 00:12:34.840 ⇒ 00:12:35.360 Awaish Kumar: It’s true.
100 00:12:35.360 ⇒ 00:12:43.280 Demilade Agboola: It’s just… yeah, it’s just, you know how, like, you can define, like, Columns and,
101 00:12:44.100 ⇒ 00:12:51.720 Demilade Agboola: Yeah, you can find columns and models in Omni. If you make a join, you can explain what’s going on, things like that. It’s not…
102 00:12:52.000 ⇒ 00:12:59.810 Demilade Agboola: it’s just basically, like, so that anybody that is using it, because, you know, even, like, they have a lot of people that will jump in there and will ask a lot of questions.
103 00:13:00.140 ⇒ 00:13:05.910 Demilade Agboola: Just so that they don’t get funny numbers and they start, you know, working on funny numbers without us
104 00:13:06.110 ⇒ 00:13:12.229 Demilade Agboola: Because, you know, we can’t… we’re not there, we can’t tell them, you know, you have to filter this out, you have to do this, you have to do that.
105 00:13:12.360 ⇒ 00:13:15.729 Demilade Agboola: So just so that there are, like, things in place to allow them to use it by themselves.
106 00:13:15.730 ⇒ 00:13:19.630 Awaish Kumar: Yeah, I… yeah, what I want to… yeah, what I was asking is, like.
107 00:13:20.060 ⇒ 00:13:35.900 Awaish Kumar: when we create those topics, which is kind of similar to YML kind of a structure, where you actually define, like, this is a join, then you can have definitions. So, is that what you’re talking about, or is it, like, we have to create separate files for this?
108 00:13:37.140 ⇒ 00:13:39.009 Demilade Agboola: I think we can add it in there.
109 00:13:39.170 ⇒ 00:13:47.040 Demilade Agboola: Yeah, we can’t be in topic, but we… I don’t know… I don’t know if there’s another way you can create separate files, but if that might be easier.
110 00:13:47.240 ⇒ 00:13:51.609 Demilade Agboola: Maybe we can do it in Carsel and just put it in there, maybe we’ll find out.
111 00:13:53.810 ⇒ 00:13:59.440 Awaish Kumar: Okay, so I think, like, they’re putting it in inside of… Topics will be…
112 00:14:00.500 ⇒ 00:14:02.899 Awaish Kumar: Enough for… for them to actually…
113 00:14:03.210 ⇒ 00:14:09.040 Awaish Kumar: for OmniEye, OmniEye can read those topics and definitions from that file, right, Mustafa?
114 00:14:09.810 ⇒ 00:14:17.780 Mustafa Raja: Yes, yeah, the YAML file has a key AI context, where we can put in all the definitions that we need.
115 00:14:19.810 ⇒ 00:14:20.420 Awaish Kumar: Okay.
116 00:14:22.290 ⇒ 00:14:22.850 Greg Stoutenburg: Okay.
117 00:14:23.590 ⇒ 00:14:30.269 Greg Stoutenburg: So… That seems to apply to 1423 and 1428.
118 00:14:30.560 ⇒ 00:14:32.700 Greg Stoutenburg: Do you guys feel like you have everything you need?
119 00:14:32.920 ⇒ 00:14:38.340 Greg Stoutenburg: To start working on that once, once the Omni instance is provisioned?
120 00:14:39.060 ⇒ 00:14:44.369 Awaish Kumar: as I mentioned, for this topics, I would love if any one of you could take it.
121 00:14:44.480 ⇒ 00:14:50.590 Awaish Kumar: I, actually don’t want to get involved, like, hands-on in this.
122 00:14:50.780 ⇒ 00:15:00.349 Awaish Kumar: actually creating topics, so… yeah, I can support with modeling, definitions, or any kind of… Domain knowledge you need.
123 00:15:00.500 ⇒ 00:15:04.260 Awaish Kumar: But, yeah, so if Muswa can take it, like…
124 00:15:04.620 ⇒ 00:15:08.470 Awaish Kumar: Yeah, you can, or maybe I can,
125 00:15:09.610 ⇒ 00:15:14.430 Awaish Kumar: But if not, like, I can talk to Utam how to handle this.
126 00:15:15.470 ⇒ 00:15:16.870 Greg Stoutenburg: Okay, and Oasis…
127 00:15:17.450 ⇒ 00:15:25.210 Greg Stoutenburg: Awash, is that because of capacity? You’re on too many other projects, or is it because this is sort of not exactly inside your expertise?
128 00:15:26.240 ⇒ 00:15:35.979 Awaish Kumar: It’s because of capacity. I have a lot of, like, DE work where I want to spend my time on, so basically, this one, I…
129 00:15:36.110 ⇒ 00:15:39.150 Awaish Kumar: Most likely, we’ll give someone else to take it.
130 00:15:39.640 ⇒ 00:15:42.449 Greg Stoutenburg: Okay. Demi, is this something you’re able to pick up?
131 00:15:46.320 ⇒ 00:15:49.650 Demilade Agboola: So I can do this, but it’s one of those things where, like.
132 00:15:50.490 ⇒ 00:15:54.670 Demilade Agboola: given how I’m on other projects, and potentially
133 00:15:54.780 ⇒ 00:16:01.939 Demilade Agboola: things could go, like, increase over the next couple of weeks. I’m not sure how much time I would still have for this. Yep.
134 00:16:01.940 ⇒ 00:16:02.350 Greg Stoutenburg: Okay.
135 00:16:02.350 ⇒ 00:16:05.620 Demilade Agboola: Like, right now, definitely, but I’m… again…
136 00:16:05.720 ⇒ 00:16:13.520 Demilade Agboola: if, like, default is being blocked by the CTO, like, if default just all of a sudden, you know, he gets that done in, like.
137 00:16:13.520 ⇒ 00:16:14.060 Greg Stoutenburg: Yeah.
138 00:16:14.430 ⇒ 00:16:16.930 Demilade Agboola: All of a sudden, default ramps up really quickly.
139 00:16:17.090 ⇒ 00:16:19.980 Greg Stoutenburg: Okay. Yeah, so it’s that sort of situation.
140 00:16:20.290 ⇒ 00:16:26.289 Greg Stoutenburg: Okay. Okay, I think… okay, so I think this is one we check in with Utam about this, because,
141 00:16:26.620 ⇒ 00:16:29.829 Greg Stoutenburg: This is a big piece of work, and we make sure that,
142 00:16:30.070 ⇒ 00:16:35.399 Greg Stoutenburg: Everyone’s got, you know… everyone’s got plates that are right-sized, and no one’s being asked to do too much.
143 00:16:36.230 ⇒ 00:16:39.289 Awaish Kumar: I would ask Musa, like, do you have a capacity?
144 00:16:39.860 ⇒ 00:16:53.880 Mustafa Raja: Yes, I would be able to work with… work on this, and then if we already have, joins in Tableau, we’ll just be translating that in these topics, right?
145 00:16:53.880 ⇒ 00:17:01.329 Awaish Kumar: I can, pair a program, like, I can help you with what… what are the core met tables, and,
146 00:17:01.510 ⇒ 00:17:05.179 Awaish Kumar: Like, what are the… what is the context there?
147 00:17:05.480 ⇒ 00:17:09.290 Awaish Kumar: And obviously, Demi can also give his inputs, but…
148 00:17:09.640 ⇒ 00:17:14.299 Awaish Kumar: to go into the tableau and actually do it, I would love to… love you to take it.
149 00:17:14.859 ⇒ 00:17:15.609 Mustafa Raja: Okay.
150 00:17:16.430 ⇒ 00:17:17.290 Greg Stoutenburg: Okay.
151 00:17:17.400 ⇒ 00:17:24.060 Greg Stoutenburg: Cool, that sounds like a plan. Alright, assign to Mustafa, and Mustafa, just reach out to Awash if you run into any blockers.
152 00:17:24.890 ⇒ 00:17:28.130 Mustafa Raja: Yeah, I just need some onboarding to Tableau. That’s all.
153 00:17:29.870 ⇒ 00:17:32.060 Awaish Kumar: I’m sorry?
154 00:17:32.060 ⇒ 00:17:39.750 Demilade Agboola: If you need that, you could always just text me, we can have, like, a 15-30 minute session, and I can walk you through the joins that currently exist in Tableau.
155 00:17:40.160 ⇒ 00:17:42.590 Mustafa Raja: Yeah, that will be helpful, yeah.
156 00:17:42.740 ⇒ 00:17:43.650 Demilade Agboola: Sounds good.
157 00:17:44.090 ⇒ 00:18:03.019 Awaish Kumar: Okay, and 1428 is part of 23, so, like, as I already mentioned, we are here to provide you summiting layer, but when Mustafa creates topics, basically all that context which we are going to provide, it goes in that topic definition itself. So it’s not…
158 00:18:03.510 ⇒ 00:18:10.659 Awaish Kumar: It’s kind of a, like, something which runs in parallel with other tasks. It’s not a separate task.
159 00:18:10.830 ⇒ 00:18:15.179 Greg Stoutenburg: Yeah, yeah, I see, okay. So this is more… this is a related task,
160 00:18:15.890 ⇒ 00:18:21.610 Greg Stoutenburg: There’s a button for that somewhere, I’ll see if I can figure it out after. Okay, so then this is Mustafa as well, then, to take point.
161 00:18:22.680 ⇒ 00:18:23.580 Greg Stoutenburg: Yeah.
162 00:18:23.580 ⇒ 00:18:23.900 Awaish Kumar: Hmm.
163 00:18:23.900 ⇒ 00:18:24.560 Mustafa Raja: Yeah.
164 00:18:24.560 ⇒ 00:18:26.419 Awaish Kumar: Yeah, yeah, you can assign it, yeah.
165 00:18:26.770 ⇒ 00:18:27.420 Greg Stoutenburg: Cool.
166 00:18:27.690 ⇒ 00:18:37.049 Awaish Kumar: And we can basically… yeah, for this, you need more of our help, because this is where all the context lives, so we can, basically…
167 00:18:38.280 ⇒ 00:18:41.440 Awaish Kumar: I and Jamie can help you with all the context.
168 00:18:41.940 ⇒ 00:18:42.630 Mustafa Raja: Okay.
169 00:18:43.590 ⇒ 00:18:48.749 Greg Stoutenburg: Okay Okay, I think for right now.
170 00:18:48.900 ⇒ 00:18:51.570 Greg Stoutenburg: That puts us in good shape.
171 00:18:51.720 ⇒ 00:18:55.669 Greg Stoutenburg: And then after that, it’s a matter of actually building the dashboards.
172 00:18:55.940 ⇒ 00:19:00.259 Greg Stoutenburg: And then starting to demo it out to make sure that…
173 00:19:00.620 ⇒ 00:19:14.510 Greg Stoutenburg: that Eden’s able to use the AI features, that they see the dashboards that they’re used to seeing in Tableau, and everything just seems to work smoothly. And, much of that work will just… will be on me to either do or ask for help on.
174 00:19:18.010 ⇒ 00:19:18.970 Greg Stoutenburg: Okay.
175 00:19:19.890 ⇒ 00:19:21.940 Greg Stoutenburg: Alright, sound good, everybody?
176 00:19:23.700 ⇒ 00:19:24.700 Awaish Kumar: Yes. Yes.
177 00:19:24.700 ⇒ 00:19:25.520 Demilade Agboola: Sounds good.
178 00:19:25.790 ⇒ 00:19:40.000 Greg Stoutenburg: Okay, cool. So, I’ll, it’s on me to make sure that everybody’s got access to everything, and then, I’ll check in with Robert about the priorities of these dashboards. Let’s see. Thanks for pointing this out to me, Awish.
179 00:19:40.000 ⇒ 00:19:56.570 Greg Stoutenburg: they’ve got all these dashboards, this is the record of the dashboards. We’ll get an understanding of, like, from a position of, you know, priority 0, 1, 2, turn this priority sheet into that, and then I’ll use that as the basis for what we get started on, for what’s going to be migrated over.
180 00:19:56.950 ⇒ 00:20:01.999 Awaish Kumar: Can you see if there’s also a list of data sources in that dashboard?
181 00:20:03.190 ⇒ 00:20:09.529 Awaish Kumar: If you scroll right, is there any data source column there? No. Okay, yeah.
182 00:20:11.570 ⇒ 00:20:12.190 Greg Stoutenburg: Okay.
183 00:20:12.190 ⇒ 00:20:13.340 Awaish Kumar: Let me actually fill it.
184 00:20:14.840 ⇒ 00:20:22.679 Demilade Agboola: Yeah, but, like, to be fair, if you… if you open the… if you open it using, like, Robert’s account, which is in 1Pass.
185 00:20:23.010 ⇒ 00:20:26.789 Demilade Agboola: You can see the sources, like, the extracts used to build out the dashboard, so…
186 00:20:27.090 ⇒ 00:20:30.540 Greg Stoutenburg: Oh, like, so we can go here, and then log in with Roberts?
187 00:20:31.170 ⇒ 00:20:33.819 Demilade Agboola: Yeah, if you log in, robots.
188 00:20:33.820 ⇒ 00:20:35.030 Awaish Kumar: You don’t know Roberts.
189 00:20:38.940 ⇒ 00:20:40.630 Demilade Agboola: Yeah, login Robert’s account…
190 00:20:46.060 ⇒ 00:20:48.769 Demilade Agboola: Yeah, it can be a bit… much, but…
191 00:20:49.030 ⇒ 00:20:50.810 Greg Stoutenburg: Click a whole bunch of buttons, yeah.
192 00:20:50.810 ⇒ 00:20:57.540 Demilade Agboola: Yeah. And then… so these are sources by the right, like, So that’s…
193 00:20:57.540 ⇒ 00:20:58.569 Greg Stoutenburg: Oh, sweet.
194 00:20:58.770 ⇒ 00:21:02.779 Demilade Agboola: So you can see the… what’s used. So, like, sometimes it’s 3 different data sources.
195 00:21:03.720 ⇒ 00:21:06.030 Demilade Agboola: This is just one, but sometimes it’s, like, three.
196 00:21:06.270 ⇒ 00:21:13.149 Demilade Agboola: And that means that what’s going on there is that there’s probably a join going on in there as well, so you just need to figure out what the join is.
197 00:21:13.430 ⇒ 00:21:13.950 Greg Stoutenburg: click here.
198 00:21:14.170 ⇒ 00:21:15.829 Demilade Agboola: You know, two data sources.
199 00:21:16.200 ⇒ 00:21:17.880 Demilade Agboola: You…
200 00:21:18.760 ⇒ 00:21:29.169 Demilade Agboola: And then… so yeah, that’s kind of how you would see how many sources are used for the dashboard. If you wanted to see what was going on, you would have to click in, so you’d have to go to Views.
201 00:21:29.310 ⇒ 00:21:30.240 Demilade Agboola: itself.
202 00:21:32.220 ⇒ 00:21:41.899 Demilade Agboola: You’ll click in… Remember… I think it would be top right, data sources?
203 00:21:42.510 ⇒ 00:21:43.800 Demilade Agboola: Or something.
204 00:21:45.490 ⇒ 00:21:46.960 Demilade Agboola: Details…
205 00:21:46.960 ⇒ 00:21:47.960 Greg Stoutenburg: the details.
206 00:21:48.100 ⇒ 00:21:49.080 Greg Stoutenburg: Oh, necessary.
207 00:21:49.080 ⇒ 00:21:52.059 Demilade Agboola: Just taking us back here. It would be…
208 00:21:53.520 ⇒ 00:21:58.569 Awaish Kumar: Yeah, if you take data sources, then you can see which table, basically, it is selecting.
209 00:21:59.550 ⇒ 00:22:03.849 Demilade Agboola: Yeah, yeah, but it’s about the join, like, what the join is on that I’m trying to figure out.
210 00:22:04.050 ⇒ 00:22:06.640 Greg Stoutenburg: That’s actually gone into building this dashboard.
211 00:22:06.640 ⇒ 00:22:08.499 Demilade Agboola: Yeah, that’s what I’m trying to…
212 00:22:09.600 ⇒ 00:22:10.549 Greg Stoutenburg: hit edit.
213 00:22:10.710 ⇒ 00:22:14.310 Awaish Kumar: Yeah, but if you’re on the… when you’re on the sheet, then you can see it, right?
214 00:22:14.600 ⇒ 00:22:15.710 Demilade Agboola: Okay, click Data.
215 00:22:20.620 ⇒ 00:22:22.500 Demilade Agboola: Okay, no, I did.
216 00:22:22.620 ⇒ 00:22:23.300 Demilade Agboola: Refresh.
217 00:22:24.510 ⇒ 00:22:30.849 Awaish Kumar: Yeah, maybe on the… data source on the… on the… Left, top of the.
218 00:22:30.850 ⇒ 00:22:32.110 Demilade Agboola: Yeah, yeah, bottom left.
219 00:22:32.500 ⇒ 00:22:33.280 Awaish Kumar: Yep.
220 00:22:37.480 ⇒ 00:22:39.300 Awaish Kumar: Here, you can maybe see…
221 00:22:39.300 ⇒ 00:22:40.310 Demilade Agboola: Yeah, so…
222 00:22:40.310 ⇒ 00:22:40.990 Greg Stoutenburg: Custom SQL.
223 00:22:40.990 ⇒ 00:22:41.560 Demilade Agboola: chips.
224 00:22:42.530 ⇒ 00:22:48.250 Demilade Agboola: Yeah, this is Custom SQL… Mmm…
225 00:22:51.440 ⇒ 00:22:52.210 Awaish Kumar: like.
226 00:22:52.210 ⇒ 00:22:53.439 Greg Stoutenburg: Maybe just click this.
227 00:22:54.570 ⇒ 00:22:55.790 Greg Stoutenburg: Can you click, like…
228 00:22:55.970 ⇒ 00:22:59.419 Demilade Agboola: Like, besides the pages thing, there seems to be, like, a drop-down.
229 00:23:00.410 ⇒ 00:23:02.369 Demilade Agboola: Pages Webflow, which is really big.
230 00:23:03.990 ⇒ 00:23:09.279 Demilade Agboola: No, so, like, you know, can you see how pages were flowing? There seems to be, like, a drop-down right beside it.
231 00:23:09.510 ⇒ 00:23:15.230 Demilade Agboola: Yeah, can you click on, let’s say, conversion on… Conversions, attributions.
232 00:23:17.450 ⇒ 00:23:21.520 Demilade Agboola: Okay, so I don’t think there’s a joint, actually. I think it’s just two different sources in the same table.
233 00:23:21.920 ⇒ 00:23:25.140 Demilade Agboola: As soon as I join, you’ll see it. You’ll see the key.
234 00:23:25.760 ⇒ 00:23:26.660 Greg Stoutenburg: Oh, okay.
235 00:23:26.930 ⇒ 00:23:27.500 Demilade Agboola: Yeah.
236 00:23:27.980 ⇒ 00:23:28.740 Greg Stoutenburg: Okay.
237 00:23:29.020 ⇒ 00:23:29.990 Greg Stoutenburg: Alright.
238 00:23:34.610 ⇒ 00:23:35.530 Greg Stoutenburg: Okay.
239 00:23:37.950 ⇒ 00:23:38.550 Greg Stoutenburg: Alright.
240 00:23:38.550 ⇒ 00:23:43.590 Demilade Agboola: Yeah, just stuff like that. We’ll just… I think attribution is a low… is a low priority dashboard, to be fair, but we’ll go.
241 00:23:43.590 ⇒ 00:23:47.669 Greg Stoutenburg: Yeah, there’s a… yeah. Yeah, these won’t all even get moved over.
242 00:23:48.430 ⇒ 00:23:50.590 Demilade Agboola: Yeah, they don’t care about that that much.
243 00:23:51.070 ⇒ 00:23:56.000 Demilade Agboola: But the product, like, RAS, like, the product velocity, revenue velocity.
244 00:23:56.000 ⇒ 00:23:56.790 Awaish Kumar: Hold on.
245 00:23:56.790 ⇒ 00:23:58.230 Demilade Agboola: They’re the ones they use every day.
246 00:23:58.230 ⇒ 00:24:16.689 Awaish Kumar: How it works in Omni, when you have, for example, I have a dashboard which is powered by 10 different tables, but those old tables are carrying different charts. They’re not actually joining anything, but they’re not, like, being joined on anything, but, those 10 tables are being…
247 00:24:16.710 ⇒ 00:24:22.779 Awaish Kumar: are creating 10 charts, which are part of a single dashboard. So, how we handle that in Omni? Is it…
248 00:24:23.270 ⇒ 00:24:27.189 Awaish Kumar: Like, something with the… like, can we create a dashboard with…
249 00:24:27.430 ⇒ 00:24:29.909 Awaish Kumar: Multiple topics, or how it’s going to be?
250 00:24:33.380 ⇒ 00:24:40.170 Greg Stoutenburg: I mean, it… yeah, is that… if that question’s for me, I don’t know, or if you’re just gonna figure that out in the next couple days.
251 00:24:40.530 ⇒ 00:24:43.439 Demilade Agboola: And to be honest, I don’t know either. I think you can have…
252 00:24:43.940 ⇒ 00:24:50.240 Demilade Agboola: Can you have multiple topics in one dashboard? I think you can, yes. It would just be that you refer the charts to do different topics, basically.
253 00:24:51.930 ⇒ 00:24:57.920 Awaish Kumar: Okay, so, okay, yeah, you create a chart with different topics, and then you bring all those in in a single dashboard.
254 00:24:58.700 ⇒ 00:24:59.700 Demilade Agboola: Yes.
255 00:25:00.100 ⇒ 00:25:04.389 Demilade Agboola: One chart will point to one topic, another chart will point to another topic, and then you have it in one dashboard.
256 00:25:04.390 ⇒ 00:25:05.610 Awaish Kumar: Okay, yeah.
257 00:25:05.960 ⇒ 00:25:10.799 Awaish Kumar: So, yeah, so that simplifies things, like, if those are two sources, which doesn’t…
258 00:25:11.220 ⇒ 00:25:16.119 Awaish Kumar: Join, then you just create two different topics for those two tables, and
259 00:25:17.210 ⇒ 00:25:21.139 Awaish Kumar: And create charts separately, and then bring into the same dashboard.
260 00:25:25.260 ⇒ 00:25:27.310 Awaish Kumar: Like, example for attribution.
261 00:25:27.640 ⇒ 00:25:28.620 Awaish Kumar: Dashboard.
262 00:25:30.030 ⇒ 00:25:37.230 Demilade Agboola: Yeah, yeah, we can definitely do for that. I… to be honest, I think this is, especially with the topics, we can probably do this…
263 00:25:38.440 ⇒ 00:25:45.779 Demilade Agboola: I don’t know what Mousafa’s availability is like, but if we sit down with this, I think we can get it done by maybe Monday, Tuesday latest.
264 00:25:47.210 ⇒ 00:25:48.050 Greg Stoutenburg: That’s awesome.
265 00:25:49.160 ⇒ 00:25:51.019 Greg Stoutenburg: I mean, that’s… that’s the core work.
266 00:25:51.020 ⇒ 00:25:56.120 Demilade Agboola: I don’t know what Mustafa’s availability is like, and I don’t know, like, if he might have issues, like, you know…
267 00:25:56.460 ⇒ 00:26:02.960 Demilade Agboola: translates to some of these things, but, like, I think… The… the… the Pablo uses, like.
268 00:26:04.090 ⇒ 00:26:06.079 Demilade Agboola: Potato tables are already created.
269 00:26:06.180 ⇒ 00:26:10.610 Demilade Agboola: for, like, a wide number of dashboards. So it’s just, like, mapping the joins.
270 00:26:10.720 ⇒ 00:26:13.569 Demilade Agboola: And then we can have different topics for each of the dashboards.
271 00:26:14.000 ⇒ 00:26:19.230 Demilade Agboola: And what we need for each dashboard, and we can just kind of map it out in a spreadsheet.
272 00:26:19.620 ⇒ 00:26:21.910 Demilade Agboola: And then, like, Mustafa can just, like.
273 00:26:22.140 ⇒ 00:26:25.289 Demilade Agboola: Just kind of quickly go into it and join it, and…
274 00:26:25.800 ⇒ 00:26:33.310 Demilade Agboola: Hopefully, it doesn’t take too long. And I know Omni can be very weird, too, sometimes. Like, sometimes I know when I work in Omni, some of the work just seems to vanish.
275 00:26:33.690 ⇒ 00:26:39.489 Demilade Agboola: That pisses me off, but beyond that, I think… Okay. I think we should be fine.
276 00:26:39.920 ⇒ 00:26:45.279 Greg Stoutenburg: Okay, okay, who should create that spreadsheet? Is that you, Demi, as you’re creating the topics?
277 00:26:46.400 ⇒ 00:26:50.099 Demilade Agboola: I think stuff is creating topics, but I can help create… I can help with the spread.
278 00:26:50.100 ⇒ 00:26:52.070 Mustafa Raja: Yeah, that would be nice.
279 00:26:52.260 ⇒ 00:26:53.010 Greg Stoutenburg: Okay.
280 00:26:53.740 ⇒ 00:26:57.190 Greg Stoutenburg: All right, yep, alright, so that can be a follow-up from this call.
281 00:26:57.510 ⇒ 00:27:02.000 Greg Stoutenburg: Okay, good. So, I think for…
282 00:27:02.410 ⇒ 00:27:07.549 Greg Stoutenburg: next steps then, I’ll share out the OmniDocs in the channel, and…
283 00:27:07.700 ⇒ 00:27:24.470 Greg Stoutenburg: So, we’re gonna meet with their sales engineer in five and a half hours. If there’s opportunity to skim through some docs on the tickets that are related to the tickets that are assigned to you, please do, just so, you know, if we have questions for him, we can ask them at that time, and try to supercharge this thing.
284 00:27:24.470 ⇒ 00:27:29.999 Greg Stoutenburg: You, Tom, and Robert are seeing this as, you know, sort of a code red, rush this thing.
285 00:27:30.000 ⇒ 00:27:34.450 Greg Stoutenburg: So, let’s, let’s try to hit this with high velocity and get it done.
286 00:27:34.920 ⇒ 00:27:36.010 Greg Stoutenburg: Smoothly.
287 00:27:39.040 ⇒ 00:27:43.090 Awaish Kumar: One to first, like… What is 1427?
288 00:27:45.520 ⇒ 00:27:47.729 Awaish Kumar: Isn’t it a duplicate of the other one?
289 00:27:53.050 ⇒ 00:27:55.000 Greg Stoutenburg: Yeah, this does appear to be a duplicate.
290 00:27:57.620 ⇒ 00:28:00.150 Greg Stoutenburg: This looks just like the topics one.
291 00:28:00.610 ⇒ 00:28:01.809 Greg Stoutenburg: That looks just like…
292 00:28:01.810 ⇒ 00:28:03.080 Awaish Kumar: That’s semantically clear.
293 00:28:03.080 ⇒ 00:28:03.879 Mustafa Raja: particularly on, yeah.
294 00:28:03.880 ⇒ 00:28:07.450 Greg Stoutenburg: Yeah, that looks just like this. Yeah. Good call.
295 00:28:09.540 ⇒ 00:28:13.350 Greg Stoutenburg: So, I’m gonna just… Delete this ticket.
296 00:28:15.000 ⇒ 00:28:16.309 Greg Stoutenburg: Where do I do that?
297 00:28:20.210 ⇒ 00:28:23.710 Greg Stoutenburg: Cool, the project just got shorter. Awesome.
298 00:28:24.180 ⇒ 00:28:25.899 Greg Stoutenburg: We just took 5 points off.
299 00:28:26.160 ⇒ 00:28:28.079 Greg Stoutenburg: Cool. Alright.
300 00:28:29.370 ⇒ 00:28:33.710 Greg Stoutenburg: Alright, sounds good, guys. Everybody feel like they know what they need to do next?
301 00:28:33.710 ⇒ 00:28:36.550 Awaish Kumar: Yeah, but, like… .
302 00:28:36.550 ⇒ 00:28:38.840 Mustafa Raja: Creating omnitopics.
303 00:28:38.840 ⇒ 00:28:41.749 Awaish Kumar: Is… is that… can be done in 5 hours?
304 00:28:43.320 ⇒ 00:28:45.899 Greg Stoutenburg: I mean, you, Tom, seem to think so.
305 00:28:47.240 ⇒ 00:28:55.109 Awaish Kumar: all of those. Then, like, we just don’t have to create topics, like, we have to verify, validate that
306 00:28:55.400 ⇒ 00:29:01.809 Awaish Kumar: it has everything we need, right? And that, like, we have to cater for that as well.
307 00:29:03.040 ⇒ 00:29:08.789 Greg Stoutenburg: Yes, yeah, that’s right, and also, I need to identify which dashboards are gonna be the P0 dashboards.
308 00:29:10.250 ⇒ 00:29:10.950 Mustafa Raja: Hmm.
309 00:29:11.580 ⇒ 00:29:12.200 Awaish Kumar: Yeah.
310 00:29:20.440 ⇒ 00:29:27.109 Awaish Kumar: Okay. Yeah. Okay, let’s… let’s come up with, like, priorities first, and then we can decide.
311 00:29:27.800 ⇒ 00:29:36.099 Greg Stoutenburg: Yep, that sounds good. So, I’m gonna reach out to Robert and Amber, and just ask them what Eden has been using, like, to have them fill this in.
312 00:29:36.780 ⇒ 00:29:49.180 Greg Stoutenburg: And ask if there are any other dashboards that we need to be looking at for this first pass. And then, once we have that, I think it’s time to hand it off to you guys to, create those topics.
313 00:29:49.340 ⇒ 00:29:56.929 Greg Stoutenburg: look at what else needs to be done to… to connect BigQuery and get the data flowing into Omni. Does that sound right?
314 00:29:59.320 ⇒ 00:29:59.870 Awaish Kumar: Yep.
315 00:30:01.600 ⇒ 00:30:03.259 Greg Stoutenburg: Cool. Alright, guys.
316 00:30:03.640 ⇒ 00:30:14.269 Greg Stoutenburg: Thanks for this, really appreciate it. If it seems like there are any conflicts with other, you know, like, with other priorities, like you mentioned, Demi or OH, with other projects that you’re on.
317 00:30:14.420 ⇒ 00:30:19.099 Greg Stoutenburg: Let me know, and we’ll escalate, because since we’ve been asked to push this through in, you know, a week.
318 00:30:19.590 ⇒ 00:30:19.950 Greg Stoutenburg: That’s okay.
319 00:30:19.950 ⇒ 00:30:20.580 Awaish Kumar: individuals.
320 00:30:20.580 ⇒ 00:30:24.469 Greg Stoutenburg: They’re aware of what limitations might be as far as capacity.
321 00:30:25.610 ⇒ 00:30:33.570 Awaish Kumar: Yeah, I think the current plan looks good. I and Demi, I don’t think we have any tickles which are really, we are not blocking anything now.
322 00:30:33.860 ⇒ 00:30:39.740 Awaish Kumar: We can easily fill in all the context for Muswa, so that’s…
323 00:30:40.480 ⇒ 00:30:49.229 Awaish Kumar: And, like, he can get topics, we can actually come in and, like, fill out the definitions for him. So, I think it’s all good.
324 00:30:49.670 ⇒ 00:30:56.739 Greg Stoutenburg: Sounds good. Mustafa, Roberts asked for a Gantt for this project. Can you turn this into a Gantt that…
325 00:30:56.740 ⇒ 00:30:57.150 Mustafa Raja: Yeah.
326 00:30:57.150 ⇒ 00:30:58.520 Greg Stoutenburg: concludes on the 20th.
327 00:30:59.130 ⇒ 00:31:06.290 Mustafa Raja: Yes, I see the deadlines, and the effort for each task. I’ll just translate this.
328 00:31:06.700 ⇒ 00:31:07.380 Greg Stoutenburg: Okay.
329 00:31:07.530 ⇒ 00:31:11.030 Greg Stoutenburg: Cool, sounds good. And then, we can take a minute and review it.
330 00:31:11.400 ⇒ 00:31:11.770 Mustafa Raja: Yeah.
331 00:31:11.770 ⇒ 00:31:16.369 Greg Stoutenburg: Alright, I think that’s it. Any other thoughts, or any other concerns?
332 00:31:19.860 ⇒ 00:31:20.630 Awaish Kumar: Nope.
333 00:31:21.100 ⇒ 00:31:23.210 Greg Stoutenburg: Cool. Alright, thanks guys.
334 00:31:24.140 ⇒ 00:31:24.840 Mustafa Raja: Thank you.
335 00:31:24.840 ⇒ 00:31:25.530 Greg Stoutenburg: See ya.