Meeting Title: Experian Army Reporting Models Sync Date: 2026-04-30 Meeting participants: Awaish Kumar, Demilade Agboola
WEBVTT
1 00:00:17.560 ⇒ 00:00:18.570 Demilade Agboola: I wish.
2 00:00:18.780 ⇒ 00:00:19.400 Awaish Kumar: I know.
3 00:00:21.320 ⇒ 00:00:24.419 Demilade Agboola: Okay, so I just sent you an invite to their repo.
4 00:00:25.150 ⇒ 00:00:27.289 Demilade Agboola: So you should have access to that.
5 00:00:33.650 ⇒ 00:00:37.659 Awaish Kumar: Look on it, because it’s… I didn’t receive the invite, unemail.
6 00:00:38.110 ⇒ 00:00:39.040 Awaish Kumar: So…
7 00:00:39.700 ⇒ 00:00:41.630 Demilade Agboola: I’m just sensitive, you know.
8 00:00:42.170 ⇒ 00:00:46.250 Awaish Kumar: Please send the link, if I… Okay. It will.
9 00:00:48.100 ⇒ 00:00:49.450 Demilade Agboola: Alright, baby.
10 00:00:52.030 ⇒ 00:00:55.669 Demilade Agboola: Well, I mean, I know settings and access, that means something.
11 00:00:56.620 ⇒ 00:00:57.699 Demilade Agboola: This is typical.
12 00:01:00.370 ⇒ 00:01:01.370 Awaish Kumar: accept invitation.
13 00:01:02.940 ⇒ 00:01:03.610 Awaish Kumar: I mean…
14 00:01:04.150 ⇒ 00:01:05.720 Demilade Agboola: You’re in, okay, great.
15 00:01:07.520 ⇒ 00:01:10.659 Awaish Kumar: Okay, we use… but, okay, we are using only for that.
16 00:01:10.870 ⇒ 00:01:13.300 Demilade Agboola: Experian Army for Viz.
17 00:01:13.780 ⇒ 00:01:19.580 Demilade Agboola: Alright, so high level… Analytics is where we have their models.
18 00:01:21.630 ⇒ 00:01:23.830 Demilade Agboola: In here, we have their mat.
19 00:01:24.890 ⇒ 00:01:33.799 Demilade Agboola: So… A number of the mats, like, a decent amount of the mats, are built as a reporting model.
20 00:01:34.210 ⇒ 00:01:35.390 Demilade Agboola: So… Total.
21 00:01:36.120 ⇒ 00:01:39.139 Demilade Agboola: We have, like, the reporting, models.
22 00:01:39.340 ⇒ 00:01:51.790 Demilade Agboola: So, that doesn’t allow for a lot of, like, flexibility in terms of… because, again, when we were building this out, we… like, the plan was we will be here for, you know, till the end of the year.
23 00:01:51.980 ⇒ 00:01:57.859 Demilade Agboola: like, I think they’re having, like, financial issues, so, like, they’re like, okay, can we get this done by May?
24 00:02:00.250 ⇒ 00:02:08.579 Demilade Agboola: So, right now, they want us to build models that have flexibility, that they can, you know, change the variables, or change…
25 00:02:08.759 ⇒ 00:02:12.519 Demilade Agboola: The filters in Omni.
26 00:02:12.920 ⇒ 00:02:13.770 Awaish Kumar: Okay.
27 00:02:13.770 ⇒ 00:02:18.510 Demilade Agboola: And they will have data to be able to do that. So basically, we just need to change the granularity of the data.
28 00:02:19.150 ⇒ 00:02:22.730 Demilade Agboola: So that’s kind of, like, what…
29 00:02:22.730 ⇒ 00:02:25.140 Awaish Kumar: But, like, do we know what,
30 00:02:26.020 ⇒ 00:02:28.770 Awaish Kumar: What filters they need, or anything like that?
31 00:02:29.200 ⇒ 00:02:43.429 Demilade Agboola: No, that’s the problem. They don’t know much about it. I think that’s just the frustrating part. Like, they’re just like, hey, we’re noticing some of these values are… sorry, what the hell? Some of these values are, like, hard-coded in.
32 00:02:43.900 ⇒ 00:02:47.310 Demilade Agboola: And we don’t want to have hard-coded data.
33 00:02:47.630 ⇒ 00:02:49.599 Demilade Agboola: We want to be able to…
34 00:02:51.090 ⇒ 00:02:54.830 Demilade Agboola: You know, have filters and just play around with our data.
35 00:02:55.250 ⇒ 00:02:55.980 Awaish Kumar: Okay.
36 00:02:55.980 ⇒ 00:03:03.450 Demilade Agboola: So, as much as possible, We would just want to change, because a lot of these are just, like.
37 00:03:04.260 ⇒ 00:03:05.460 Demilade Agboola: aggregated.
38 00:03:05.750 ⇒ 00:03:11.819 Demilade Agboola: Right? And where we know that we need to, like, have a filter, which is what I asked them for before, like, hey.
39 00:03:11.820 ⇒ 00:03:15.909 Awaish Kumar: Because these are all, like, metrics, right? They…
40 00:03:16.970 ⇒ 00:03:22.529 Awaish Kumar: They are aggregated, they should be aggregated, but I don’t know what dimensions they need.
41 00:03:23.120 ⇒ 00:03:27.289 Demilade Agboola: That’s the… that’s exactly the problem. So there’s like, yeah, they’re saying they want…
42 00:03:28.680 ⇒ 00:03:36.260 Demilade Agboola: They don’t… okay, so for some things, for instance, like, I know… I’m trying to see… there’s a certain…
43 00:03:36.620 ⇒ 00:03:46.510 Demilade Agboola: there’s a certain metric that I know we did, like, we aggregated by 7 days, 14 days, 30 days, and they’re like, no, we don’t need to aggregate that, they just want to be able to have it, like,
44 00:03:47.710 ⇒ 00:03:49.049 Demilade Agboola: Let me see if I can find it.
45 00:03:53.500 ⇒ 00:03:57.880 Awaish Kumar: And how many dashboards we have that needs, like, So…
46 00:03:57.880 ⇒ 00:04:05.390 Demilade Agboola: Basically, almost every model, like, almost every model is… every dashboard is powered by something of this sort.
47 00:04:05.660 ⇒ 00:04:13.379 Demilade Agboola: So we have… These, but these two are duplicates, so they’re the same thing.
48 00:04:13.530 ⇒ 00:04:17.980 Demilade Agboola: We have 1, 2, 3… Four.
49 00:04:18.310 ⇒ 00:04:21.500 Demilade Agboola: And then 5… This one.
50 00:04:23.180 ⇒ 00:04:24.310 Awaish Kumar: Sir.
51 00:04:24.530 ⇒ 00:04:34.489 Awaish Kumar: For the ARR dashboard, I don’t see many dimensions, so only filter you can make is maybe date filter, you can go by weekly, ARR, monthly, quarterly.
52 00:04:35.900 ⇒ 00:04:38.559 Demilade Agboola: Yeah, yeah, so here’s the funny thing.
53 00:04:38.750 ⇒ 00:04:45.879 Demilade Agboola: It’s not necessarily exposed In a way… in a topic that they use here.
54 00:04:46.380 ⇒ 00:04:54.319 Demilade Agboola: So, the… if you use, like, if you, like, hop into the dashboard, or if you hop into the model.
55 00:04:55.280 ⇒ 00:04:55.930 Awaish Kumar: Okay.
56 00:04:56.100 ⇒ 00:05:01.899 Demilade Agboola: I calculated… everything concerning, like, ARR is built out here.
57 00:05:02.860 ⇒ 00:05:08.210 Demilade Agboola: So this is the logic for ARR. It basically starts to take every… for every single customer.
58 00:05:08.480 ⇒ 00:05:11.540 Demilade Agboola: put the opportunities, like, different contracts together.
59 00:05:12.340 ⇒ 00:05:24.139 Demilade Agboola: one adds the value if it’s a close loss, like, it’s just basically, like, calculating all of that. So, on a daily level, on a daily level of granularity, we actually do have ARR here.
60 00:05:24.630 ⇒ 00:05:32.410 Demilade Agboola: It’s just, again, like I said, what is exposed is how we just aggregated it to make it easy
61 00:05:32.570 ⇒ 00:05:36.400 Demilade Agboola: to use in the dashboards. So now, maybe what we’ll just have to…
62 00:05:36.400 ⇒ 00:05:42.600 Awaish Kumar: Even the dim manifact table who created our, basically, the… aggregated tables.
63 00:05:42.820 ⇒ 00:05:44.159 Awaish Kumar: At high level.
64 00:05:44.760 ⇒ 00:05:52.770 Demilade Agboola: No, no, no, not the facts. A number of the facts are fine. It’s more of the reporting models which are used to have dashboards.
65 00:05:53.010 ⇒ 00:06:02.459 Awaish Kumar: Okay, so in that case, if I start from demand fact, and I can create reporting models on a lower granularity, that… that should be the…
66 00:06:02.810 ⇒ 00:06:10.230 Demilade Agboola: That should be fine, yes. That should be fine. So, like, you can go through the demand fact tables and just try and build out, yeah.
67 00:06:10.820 ⇒ 00:06:21.560 Demilade Agboola: different reporting… so basically, it’s just, like, these reporting models and a couple of other reporting models, actually. I know, like, this was… this was done by.
68 00:06:21.810 ⇒ 00:06:22.540 Awaish Kumar: Okay.
69 00:06:22.540 ⇒ 00:06:23.930 Demilade Agboola: by.
70 00:06:24.590 ⇒ 00:06:26.690 Awaish Kumar: I… I think, like…
71 00:06:27.330 ⇒ 00:06:29.969 Awaish Kumar: Yeah, but, like, having them, like…
72 00:06:30.100 ⇒ 00:06:35.749 Awaish Kumar: I don’t think reporting more… creating reporting models will be a challenge. The challenge here would be…
73 00:06:35.900 ⇒ 00:06:39.600 Awaish Kumar: To how to adopt the dashboards.
74 00:06:39.960 ⇒ 00:06:47.399 Awaish Kumar: Because… if I… create some daily errors. They just… what they want to look at? Daily error.
75 00:06:47.650 ⇒ 00:06:54.929 Awaish Kumar: what dimension they want to filter by, like, maybe there are company types, or something they want to see the RR by.
76 00:06:55.320 ⇒ 00:06:57.130 Awaish Kumar: I don’t know, like, these are the…
77 00:06:57.130 ⇒ 00:07:02.049 Demilade Agboola: I get what you mean. So I guess what we can just do is…
78 00:07:04.870 ⇒ 00:07:09.060 Demilade Agboola: If we can create fact tables, that…
79 00:07:10.230 ⇒ 00:07:18.440 Demilade Agboola: Because I know I was talking to Otan, and Otan was saying, like, hey, well, how about we just create, like, Salesforce tables, like, oh, fact opportunities, facts,
80 00:07:19.180 ⇒ 00:07:30.020 Demilade Agboola: Facts… fact opportunities, yeah, fact opportunities lost, fact opportunities won, that kind of thing, so that we can have, like, you know, fact tables for all of that.
81 00:07:30.510 ⇒ 00:07:38.540 Demilade Agboola: I think if we’re gonna make, like, reporting tables and do different granularities, I think all, like, the… what matters to them
82 00:07:38.900 ⇒ 00:07:52.550 Demilade Agboola: It’s just that when they want to start playing around with their dashboard, so if they come now and say, because they’re not data people, if they want to come now and say, hey, we need to add a new filter for dates, so, like, put the date filter here.
83 00:07:52.680 ⇒ 00:07:56.350 Demilade Agboola: The models as they are built now will not allow them to do that.
84 00:07:56.660 ⇒ 00:08:00.879 Demilade Agboola: Right? But they want to be able to have that flexibility.
85 00:08:00.880 ⇒ 00:08:10.569 Awaish Kumar: So, I’m getting your point. So now, if I go back to this dbt repo, GTM6 does not have any reporting table.
86 00:08:11.630 ⇒ 00:08:14.310 Demilade Agboola: Sorry, which doesn’t… GCM seals?
87 00:08:14.310 ⇒ 00:08:16.889 Awaish Kumar: Yeah, so this is only fake tables, right?
88 00:08:17.160 ⇒ 00:08:17.970 Demilade Agboola: Yes.
89 00:08:20.210 ⇒ 00:08:22.569 Awaish Kumar: Are they just aggregated tables, or…
90 00:08:22.570 ⇒ 00:08:24.159 Demilade Agboola: Yes, I think there are greater tables.
91 00:08:25.280 ⇒ 00:08:26.010 Awaish Kumar: Okay.
92 00:08:26.140 ⇒ 00:08:29.120 Demilade Agboola: Very aggressive, yeah, new accounts worked, call us.
93 00:08:32.030 ⇒ 00:08:33.200 Awaish Kumar: Okay, okay.
94 00:08:35.970 ⇒ 00:08:39.209 Demilade Agboola: So a lot of the equation is already done in the…
95 00:08:40.169 ⇒ 00:08:41.419 Awaish Kumar: Okay, alright.
96 00:08:42.580 ⇒ 00:08:45.059 Demilade Agboola: I mean, this is by day, so still, this should still be fine.
97 00:08:45.270 ⇒ 00:08:47.470 Awaish Kumar: And they’ll need it by tomorrow.
98 00:08:48.700 ⇒ 00:08:58.780 Demilade Agboola: I… they… they’re saying they want it by tomorrow, but I don’t… I don’t… honestly don’t think it’s… like, we’ll try our best, we’ll give them the values and show them, like, these things have changed, but I…
99 00:08:59.040 ⇒ 00:09:05.540 Demilade Agboola: I don’t want it as… I don’t want to, like, over… like, they say they want it tomorrow, I don’t think it’s realistic, especially given the turnaround.
100 00:09:06.220 ⇒ 00:09:10.399 Demilade Agboola: But… try. We can just try and say, hey, this is how far we’ve come along.
101 00:09:10.690 ⇒ 00:09:12.170 Awaish Kumar: Okay, I… okay.
102 00:09:12.330 ⇒ 00:09:12.890 Demilade Agboola: Yeah.
103 00:09:14.540 ⇒ 00:09:17.599 Awaish Kumar: Anything else? You think…
104 00:09:17.600 ⇒ 00:09:24.440 Demilade Agboola: That’s it. That’s it. That’s literally all they need. So the… it’s not, like, queuing the data. The data is fine. It’s just, like, we’re just changing the level of grass.
105 00:09:24.440 ⇒ 00:09:29.430 Awaish Kumar: Only the… so, in the March, we… we have GTM, and what else, the…
106 00:09:29.620 ⇒ 00:09:32.929 Demilade Agboola: So we have sales, GTM sales, GTM finance, and customer enablement.
107 00:09:32.930 ⇒ 00:09:34.740 Awaish Kumar: All of them needs to be…
108 00:09:35.050 ⇒ 00:09:40.300 Demilade Agboola: Yeah, just… we need to just change the… and then we now will create, like, a…
109 00:09:40.840 ⇒ 00:09:46.450 Awaish Kumar: Yeah, because, like, changing the grain might not… as I said, it’s not a problem, since.
110 00:09:46.450 ⇒ 00:09:46.940 Demilade Agboola: Fair.
111 00:09:46.940 ⇒ 00:09:52.159 Awaish Kumar: DovDayment fact, for example, for… at least for customer enablement, for example.
112 00:09:54.160 ⇒ 00:10:00.800 Awaish Kumar: But recreating those dashboards, like, No problem. Yeah, and then…
113 00:10:00.980 ⇒ 00:10:07.250 Awaish Kumar: doing all those irrigation in Omni, and giving them all those filters, like, that will take time.
114 00:10:07.680 ⇒ 00:10:22.310 Demilade Agboola: Yeah, yeah. I mean, that’s what they want, like I said. When they pointed out, because when, I mean, no, I mean, when Caitlin said it, I said, you know, right now, let’s focus on data quality, like, let’s get the numbers right, because if the numbers are right.
115 00:10:22.430 ⇒ 00:10:35.709 Demilade Agboola: changing the granularity is not that hard, it’s not a tricky thing, it’s just… we just need to sit down and get it done. But if the numbers are wrong, changing the granularity will not solve that, so just being able to, like, troubleshoot that. But they really want to get the numbers…
116 00:10:36.310 ⇒ 00:10:36.960 Awaish Kumar: Okay.
117 00:10:36.960 ⇒ 00:10:41.329 Demilade Agboola: broken up quickly, so I was like, you know what, let’s just try and do that and get it over with.
118 00:10:41.520 ⇒ 00:10:48.569 Awaish Kumar: Okay, let’s see, I… how far I can go, and also I may… bring Mustafa.
119 00:10:48.900 ⇒ 00:10:55.449 Awaish Kumar: To speed it up, let’s see how tomorrow hike, how much we can do, if he has time.
120 00:10:55.630 ⇒ 00:11:02.110 Awaish Kumar: And, that’s it. Okay. We’ll try.
121 00:11:02.470 ⇒ 00:11:03.510 Demilade Agboola: Alright, sounds good.
122 00:11:03.510 ⇒ 00:11:06.670 Awaish Kumar: And, okay, can you be,
123 00:11:06.940 ⇒ 00:11:09.240 Awaish Kumar: Can you check if I have access to Omni?
124 00:11:10.050 ⇒ 00:11:12.439 Demilade Agboola: You… okay, let me just check now…
125 00:11:13.420 ⇒ 00:11:15.150 Awaish Kumar: I might not, so, yeah.
126 00:11:15.150 ⇒ 00:11:15.930 Demilade Agboola: Probably not.
127 00:11:17.040 ⇒ 00:11:19.170 Awaish Kumar: Just, invite me.
128 00:11:19.170 ⇒ 00:11:20.360 Demilade Agboola: attends…
129 00:11:20.360 ⇒ 00:11:22.119 Awaish Kumar: Most far should be there already.
130 00:11:22.400 ⇒ 00:11:25.839 Demilade Agboola: Yes, Mustafa is definitely there. He builds a number of the dashboards.
131 00:11:26.260 ⇒ 00:11:31.049 Awaish Kumar: Edward is here as well, so I might… Good morning, Jamin.
132 00:11:34.910 ⇒ 00:11:35.610 Demilade Agboola: I see.
133 00:11:54.030 ⇒ 00:11:55.210 Awaish Kumar: Okay,
134 00:11:59.170 ⇒ 00:12:01.790 Awaish Kumar: Like, are they ending the contract tomorrow?
135 00:12:02.270 ⇒ 00:12:11.090 Demilade Agboola: No, not tomorrow. They’re ending at the end of May, but they’re saying, like, they want everything, all reporting things finished by 15th of May.
136 00:12:11.230 ⇒ 00:12:17.360 Demilade Agboola: And they… I don’t know, they… basically, I… they’re… again, they’re just being weird.
137 00:12:17.570 ⇒ 00:12:23.559 Demilade Agboola: But, like Ultime says, I think they’re just, they’re just having issues with, like, finances.
138 00:12:24.160 ⇒ 00:12:27.350 Demilade Agboola: And so they’re just really trying to…
139 00:12:27.640 ⇒ 00:12:32.589 Demilade Agboola: Get as much as they can in the final weeks before they hand over, before we hand over.
140 00:12:33.250 ⇒ 00:12:34.050 Awaish Kumar: Okay, okay.
141 00:12:37.870 ⇒ 00:12:41.309 Awaish Kumar: Okay, we’ll try and see.
142 00:12:41.450 ⇒ 00:12:43.069 Demilade Agboola: Oh, okay. Alright.
143 00:12:44.130 ⇒ 00:12:49.370 Awaish Kumar: Okay, yeah, apart from that, I… I’m thinking about,
144 00:12:50.500 ⇒ 00:12:53.620 Awaish Kumar: Having some, like, jamming sessions between us.
145 00:12:55.270 ⇒ 00:12:56.570 Demilade Agboola: Somewhat sessions?
146 00:12:57.030 ⇒ 00:12:59.860 Awaish Kumar: Jamming sessions, like, brainstorming sessions.
147 00:12:59.860 ⇒ 00:13:01.230 Demilade Agboola: Yeah, sure, that’ll be good.
148 00:13:01.560 ⇒ 00:13:02.560 Awaish Kumar: Just me and you.
149 00:13:02.790 ⇒ 00:13:03.680 Awaish Kumar: Okay.
150 00:13:03.790 ⇒ 00:13:06.009 Awaish Kumar: For… for now, and maybe…
151 00:13:06.130 ⇒ 00:13:13.450 Awaish Kumar: If our sessions improve, and we have some quality things, we can adapt them afterwards.
152 00:13:13.890 ⇒ 00:13:17.750 Demilade Agboola: Okay, that’s fine. I think, like, we can definitely put that.
153 00:13:18.250 ⇒ 00:13:18.720 Awaish Kumar: Yeah.
154 00:13:18.720 ⇒ 00:13:24.050 Demilade Agboola: Say, like, once a week, we can just put, like, 45 minutes and just kind of, like, talk their stuff and figure out what to.
155 00:13:24.050 ⇒ 00:13:24.460 Awaish Kumar: Yeah.
156 00:13:24.460 ⇒ 00:13:29.240 Demilade Agboola: Issues that we’re having are, and different ways in which we could try and solve them.
157 00:13:30.420 ⇒ 00:13:36.090 Awaish Kumar: Yeah, I’m thinking about that, so we’ll see from next week, maybe I’ll send you some invites.
158 00:13:36.090 ⇒ 00:13:37.800 Demilade Agboola: Alright, sounds good, sounds good.
159 00:13:38.070 ⇒ 00:13:39.280 Awaish Kumar: Okay, thanks.
160 00:13:39.420 ⇒ 00:13:45.690 Demilade Agboola: Thanks. Have a great rest of your day, or night, actually. I think it’s, like, 4AM for you, right?
161 00:13:45.690 ⇒ 00:13:46.590 Awaish Kumar: Yeah.
162 00:13:46.670 ⇒ 00:13:48.890 Demilade Agboola: Yeah.
163 00:13:49.200 ⇒ 00:13:51.410 Demilade Agboola: That’s a tough one, I was like, yes, twin.
164 00:13:51.520 ⇒ 00:13:52.509 Demilade Agboola: That’s a tough one.
165 00:13:52.990 ⇒ 00:13:54.559 Demilade Agboola: Have a great rest of your night.
166 00:13:55.340 ⇒ 00:13:55.950 Awaish Kumar: Okay.
167 00:13:56.170 ⇒ 00:13:57.290 Demilade Agboola: Alright, bye.