Meeting Title: ETL and Workstream Planning Sync Date: 2026-01-09 Meeting participants: Mustafa’s Loom Notetaker, Mustafa Raja, Demilade Agboola
WEBVTT
1 00:01:42.200 ⇒ 00:01:43.300 Demilade Agboola: Hi, Mustafo.
2 00:01:45.110 ⇒ 00:01:47.959 Mustafa Raja: Hey. How are you?
3 00:01:49.370 ⇒ 00:01:50.820 Demilade Agboola: I’m doing very well, how are you?
4 00:01:51.670 ⇒ 00:01:53.340 Mustafa Raja: Yeah, better.
5 00:01:55.330 ⇒ 00:01:56.799 Mustafa Raja: Better than yesterday.
6 00:01:57.130 ⇒ 00:02:03.070 Demilade Agboola: Yeah, but have your medicines… like, did the medicine you take help, or did you even take any medicine?
7 00:02:03.570 ⇒ 00:02:06.670 Mustafa Raja: Yeah, I did, I did go to the doctors.
8 00:02:07.060 ⇒ 00:02:08.470 Mustafa Raja: Yesterday, too.
9 00:02:08.970 ⇒ 00:02:13.360 Mustafa Raja: It gets better and then worse again, yeah.
10 00:02:16.290 ⇒ 00:02:19.040 Demilade Agboola: Oh, no, I’m sorry to hear that. Hopefully, like, you…
11 00:02:19.190 ⇒ 00:02:22.029 Demilade Agboola: You can get a void this week, like…
12 00:02:22.360 ⇒ 00:02:23.870 Mustafa Raja: Yeah, yeah, hopefully.
13 00:02:24.090 ⇒ 00:02:28.699 Demilade Agboola: And then you can use the weekend to rest and just, like, properly recover.
14 00:02:28.700 ⇒ 00:02:31.860 Mustafa Raja: Yeah, that… that’s what I’m planning to do.
15 00:02:32.210 ⇒ 00:02:36.700 Mustafa Raja: Okay… Sorry.
16 00:02:37.950 ⇒ 00:02:40.839 Mustafa Raja: Let me share my screen, and then let’s go through it.
17 00:02:43.040 ⇒ 00:02:50.679 Mustafa Raja: Okay, which one are you… are you seeing, surveys, or are you seeing cursor?
18 00:02:51.180 ⇒ 00:02:52.310 Demilade Agboola: I’m sitting super bass.
19 00:02:53.010 ⇒ 00:02:55.230 Mustafa Raja: Okay, let me… Also, can you give me, like…
20 00:02:55.280 ⇒ 00:02:56.050 Demilade Agboola: Bye.
21 00:02:56.520 ⇒ 00:02:58.699 Demilade Agboola: One minute. I want to make a cup of coffee.
22 00:02:59.060 ⇒ 00:03:00.580 Mustafa Raja: Yeah, yeah, yeah, go ahead.
23 00:05:52.940 ⇒ 00:05:54.039 Demilade Agboola: Okay, so I’m back.
24 00:05:57.970 ⇒ 00:05:58.740 Mustafa Raja: Hey.
25 00:05:59.160 ⇒ 00:06:00.890 Demilade Agboola: Okay, so…
26 00:06:05.310 ⇒ 00:06:07.429 Mustafa Raja: Oh, yes, it’s too bad.
27 00:06:30.490 ⇒ 00:06:33.359 Mustafa Raja: Okay, do you have, not this one…
28 00:06:45.400 ⇒ 00:06:50.369 Mustafa Raja: Okay, I did send you an invite, and did you get that?
29 00:06:52.500 ⇒ 00:06:55.719 Demilade Agboola: Yes, I did, and I started reading it, but I hadn’t…
30 00:06:56.350 ⇒ 00:07:01.519 Demilade Agboola: So I went through, I skimmed through it on a high level, but I haven’t been able to, you know, put my thoughts down yet.
31 00:07:02.340 ⇒ 00:07:02.940 Mustafa Raja: Okay.
32 00:07:03.490 ⇒ 00:07:07.970 Mustafa Raja: Okay, and, did you get a chance to look at this?
33 00:07:10.830 ⇒ 00:07:14.280 Demilade Agboola: Yes. Which part?
34 00:07:15.510 ⇒ 00:07:17.180 Mustafa Raja: The whole thing.
35 00:07:17.180 ⇒ 00:07:19.809 Demilade Agboola: Oh, yes, yes, I did, I looked at it, and…
36 00:07:20.200 ⇒ 00:07:25.569 Mustafa Raja: So do you have anything, as risks or something? I couldn’t think of any.
37 00:07:26.160 ⇒ 00:07:32.670 Demilade Agboola: So risks will be, you know, system access, so we need access to the different systems that we need to…
38 00:07:32.830 ⇒ 00:07:36.720 Demilade Agboola: Export data, but we will send that over to the team.
39 00:07:38.580 ⇒ 00:07:45.729 Demilade Agboola: This coming week, and so… basically, the risk is if we don’t have quick access to it, it will delay whatever timeline we set.
40 00:07:48.730 ⇒ 00:07:50.929 Mustafa Raja: This is related to ETL, right?
41 00:07:51.550 ⇒ 00:07:52.200 Demilade Agboola: Yes.
42 00:07:53.230 ⇒ 00:08:01.460 Mustafa Raja: Okay, let’s… let’s actually define those. So, I, I did look at the granolas for both.
43 00:08:02.120 ⇒ 00:08:05.530 Mustafa Raja: This is for Laura, and this is for Lev.
44 00:08:05.640 ⇒ 00:08:14.010 Mustafa Raja: I see that Lev wants to work on a few dashboards, and then, The ETL pipeline?
45 00:08:15.080 ⇒ 00:08:17.519 Mustafa Raja: And then a scorecard, I believe.
46 00:08:17.850 ⇒ 00:08:21.170 Mustafa Raja: To qualify, customers, right?
47 00:08:22.030 ⇒ 00:08:22.640 Demilade Agboola: Yes.
48 00:08:23.570 ⇒ 00:08:34.169 Mustafa Raja: Okay, I’m just wondering, on how we should, you know, divide these, into work streams, right?
49 00:08:35.759 ⇒ 00:08:40.729 Demilade Agboola: Okay, I think the first thing to do as a work stream is the ETL.
50 00:08:40.869 ⇒ 00:08:44.849 Demilade Agboola: So we need the first week, we need a week for… setting up ETL.
51 00:08:46.310 ⇒ 00:08:54.969 Mustafa Raja: ETL. ETL is one. And, does, does, so Salesforce work does not come under this one, right?
52 00:08:56.580 ⇒ 00:08:58.139 Demilade Agboola: Sorry, I didn’t hear that. I didn’t get the question.
53 00:08:58.260 ⇒ 00:09:03.030 Mustafa Raja: Salesforce work that we are doing does not come under this one, right?
54 00:09:03.670 ⇒ 00:09:11.800 Demilade Agboola: No. I mean, yes, technically. So, ETL will be for every single data source that we need for end-user… end-user reports.
55 00:09:12.050 ⇒ 00:09:17.789 Demilade Agboola: So, it would be for clay, it would be for superbase, it will be for…
56 00:09:18.040 ⇒ 00:09:24.280 Demilade Agboola: Salesforce, like, everything that we will need to be able to provide information to the end users.
57 00:09:24.280 ⇒ 00:09:24.630 Mustafa Raja: Okay.
58 00:09:24.710 ⇒ 00:09:31.159 Demilade Agboola: The idea is that that data should be in sync daily, so that they can have the latest information.
59 00:09:31.160 ⇒ 00:09:31.900 Mustafa Raja: Yeah.
60 00:09:32.350 ⇒ 00:09:38.949 Mustafa Raja: Yeah, yeah, yeah. Yeah. So, so, sort of everything that we are doing is sort of dependent on this, right?
61 00:09:40.720 ⇒ 00:09:41.360 Demilade Agboola: Yes.
62 00:09:41.990 ⇒ 00:09:42.670 Mustafa Raja: Okay.
63 00:09:43.270 ⇒ 00:09:45.569 Demilade Agboola: So that will be the first walk stream, that will be the first part.
64 00:09:46.300 ⇒ 00:09:47.090 Mustafa Raja: Okay.
65 00:09:47.490 ⇒ 00:09:52.770 Mustafa Raja: But the exploration of Salesforce and other stuff would be another workstream, right?
66 00:09:55.080 ⇒ 00:10:00.260 Demilade Agboola: Yes, it’ll be another work stream, it’ll come after… I mean, the expression will be a parallel to this, actually, because.
67 00:10:00.260 ⇒ 00:10:03.870 Mustafa Raja: We have the data in terms of, like, a one-time export.
68 00:10:04.650 ⇒ 00:10:11.319 Mustafa Raja: So do you want to name that as Salesforce Workstream, or do you have a better suggestion for that?
69 00:10:12.290 ⇒ 00:10:16.499 Demilade Agboola: Just let’s call it the Salesforce Exploration Workstream.
70 00:10:18.120 ⇒ 00:10:21.659 Mustafa Raja: Okay, Salesforce Expiration, okay, Salesforce…
71 00:10:26.930 ⇒ 00:10:34.370 Mustafa Raja: And then Lev had some other things also. Let’s look at… Okay, so I saw that
72 00:10:36.370 ⇒ 00:10:38.559 Mustafa Raja: Could you shed some more light on this?
73 00:10:43.430 ⇒ 00:10:45.139 Demilade Agboola: So, this is with Laura, right?
74 00:10:45.590 ⇒ 00:10:53.950 Mustafa Raja: Yeah, yeah, this is with Laura. I didn’t get a definitive… what do I… what do we need to do, you know? So…
75 00:10:53.950 ⇒ 00:10:54.520 Demilade Agboola: Welcome.
76 00:10:57.070 ⇒ 00:11:04.199 Demilade Agboola: So, I think for this, Laura’s thing basically is just GTM. Like, let’s not… let’s not overcomplicate it.
77 00:11:04.430 ⇒ 00:11:10.509 Demilade Agboola: For her, what she just needs is… we need to be able to get the GTI metrics, so what are…
78 00:11:10.510 ⇒ 00:11:10.950 Mustafa Raja: Okay.
79 00:11:10.950 ⇒ 00:11:11.690 Demilade Agboola: From acquisition.
80 00:11:11.690 ⇒ 00:11:12.370 Mustafa Raja: screwing.
81 00:11:13.600 ⇒ 00:11:13.930 Demilade Agboola: Yes.
82 00:11:13.930 ⇒ 00:11:16.930 Mustafa Raja: Can we do this and GTM metrics work stream?
83 00:11:17.830 ⇒ 00:11:19.960 Demilade Agboola: Yeah, so there’ll be a jutsu metrics floor.
84 00:11:21.890 ⇒ 00:11:27.750 Mustafa Raja: Yeah, so we have these, and then I guess we could do one more… sorry.
85 00:11:28.720 ⇒ 00:11:30.320 Mustafa Raja: We can do one more…
86 00:11:30.510 ⇒ 00:11:33.789 Demilade Agboola: But she also needs revenue, too, by the way, so GTMR.
87 00:11:33.790 ⇒ 00:11:34.520 Mustafa Raja: Sorry?
88 00:11:34.680 ⇒ 00:11:36.760 Demilade Agboola: She needs revenue as well. Hmm.
89 00:11:36.920 ⇒ 00:11:39.630 Demilade Agboola: Like, financial summary revenue, that sort of…
90 00:11:39.630 ⇒ 00:11:43.149 Mustafa Raja: Do you want to include it in this work stream, or create a new one?
91 00:11:44.120 ⇒ 00:11:49.970 Demilade Agboola: We can include it in this work stream. Well, like, okay, let’s… can we list everything out? I think let’s…
92 00:11:50.690 ⇒ 00:11:54.469 Demilade Agboola: Let’s list everything out, and then we’ll put the ones that we can combine together.
93 00:11:54.940 ⇒ 00:11:55.640 Mustafa Raja: Okay.
94 00:11:58.250 ⇒ 00:11:59.710 Mustafa Raja: Let me pull up my notes.
95 00:12:08.380 ⇒ 00:12:11.479 Mustafa Raja: Okay, so from Lev, we have… what do we have from Lev?
96 00:12:13.660 ⇒ 00:12:15.650 Mustafa Raja: So, firstly, we have ETL.
97 00:12:16.330 ⇒ 00:12:33.339 Mustafa Raja: Then we have… Salesforce Exploration, Salesforce… Exploration, and then we have… GTM metrics… Revenue metrics…
98 00:12:36.590 ⇒ 00:12:41.510 Mustafa Raja: And then we have, customer qualification model.
99 00:12:48.490 ⇒ 00:12:56.539 Mustafa Raja: And then I saw here… Dashboards to track user activity.
100 00:12:58.390 ⇒ 00:13:08.530 Mustafa Raja: dash to track… User activity. Would this, would this be, everything, right?
101 00:13:09.720 ⇒ 00:13:19.019 Demilade Agboola: So let’s do… Customer… cost… user… user… products… Let me see
102 00:13:19.410 ⇒ 00:13:27.089 Demilade Agboola: Customer Product Usage Dashboard. So that would be the first step to the customer qualification model. No, that’s fine, but that would be Phase 2.
103 00:13:27.640 ⇒ 00:13:33.179 Demilade Agboola: So phase one would be… yeah, so phase one would be a product, like, a customer product user dashboard.
104 00:13:34.360 ⇒ 00:13:34.940 Mustafa Raja: Okay.
105 00:13:38.080 ⇒ 00:13:41.330 Demilade Agboola: And then Phase 2, that’ll be the customer qualification model.
106 00:13:41.640 ⇒ 00:13:42.759 Demilade Agboola: So the idea is we need to know.
107 00:13:42.760 ⇒ 00:13:43.240 Mustafa Raja: Holcesto.
108 00:13:43.240 ⇒ 00:13:48.170 Demilade Agboola: are using the dashboard, or using the product, and we can then give them…
109 00:13:48.360 ⇒ 00:13:56.700 Demilade Agboola: The dashboard so that you can say, hey, we need to see the users who have done this activity the most over the last, maybe, 30 days.
110 00:13:57.000 ⇒ 00:13:59.939 Demilade Agboola: And then they’ll send them emails and things like that.
111 00:14:00.060 ⇒ 00:14:07.340 Demilade Agboola: But then, obviously, over time, they want to be able to aggregate it, and then have it as, one thing. So this is for Lev, by the way, so this is very.
112 00:14:07.340 ⇒ 00:14:07.900 Mustafa Raja: Yeah.
113 00:14:07.900 ⇒ 00:14:08.980 Demilade Agboola: In specific, yeah.
114 00:14:11.450 ⇒ 00:14:12.729 Mustafa Raja: This is for love.
115 00:14:13.600 ⇒ 00:14:18.559 Mustafa Raja: Okay, the, and we are only splitting Lev’s work into phases, right?
116 00:14:19.210 ⇒ 00:14:21.800 Demilade Agboola: Yes, because we can’t do everything at once.
117 00:14:21.800 ⇒ 00:14:30.870 Mustafa Raja: Okay, so, okay, so we will say these are two different work streams, and this work stream is dependent on Phase 1, right?
118 00:14:31.000 ⇒ 00:14:31.849 Mustafa Raja: I don’t know.
119 00:14:32.840 ⇒ 00:14:33.490 Demilade Agboola: Yes.
120 00:14:33.780 ⇒ 00:14:41.139 Demilade Agboola: So… Customer Activity Dash, or call it… yeah. Can you call it Mickey Customer Product Activity Dashboard?
121 00:14:41.930 ⇒ 00:14:43.110 Mustafa Raja: customary product.
122 00:14:43.550 ⇒ 00:14:47.799 Demilade Agboola: Yeah, at least it makes it clearer that it’s how they are using the product that we want to see.
123 00:14:51.130 ⇒ 00:14:52.240 Demilade Agboola: It’s a long snares.
124 00:14:53.420 ⇒ 00:15:00.550 Mustafa Raja: Okay, I’m going to lay this out, and then we could add tasks in there, then. Do we want to combine these two or not?
125 00:15:04.060 ⇒ 00:15:06.639 Demilade Agboola: GTM or River. Yes, let’s make it one.
126 00:15:06.640 ⇒ 00:15:07.240 Mustafa Raja: Okay.
127 00:16:03.550 ⇒ 00:16:04.380 Mustafa Raja: Okay.
128 00:16:05.470 ⇒ 00:16:09.930 Mustafa Raja: Okay, so do we… do we… do we know some… some of these tasks?
129 00:16:12.120 ⇒ 00:16:14.439 Mustafa Raja: Some of the tasks relating to the workstream.
130 00:16:15.270 ⇒ 00:16:22.499 Demilade Agboola: Okay, so for ETL, we’ll need to… Connect to the data sources.
131 00:16:24.370 ⇒ 00:16:25.030 Mustafa Raja: Okay.
132 00:16:25.030 ⇒ 00:16:28.210 Demilade Agboola: the data from the data sources into MotherDoc.
133 00:16:30.530 ⇒ 00:16:32.500 Mustafa Raja: Do we know all of the data sources or not?
134 00:16:32.810 ⇒ 00:16:37.059 Demilade Agboola: We don’t know all of them, so that’s part of why I’m having these calls as well, so I know some of them.
135 00:16:37.060 ⇒ 00:16:37.770 Mustafa Raja: For instance.
136 00:16:37.770 ⇒ 00:16:38.510 Demilade Agboola: as I know.
137 00:16:40.070 ⇒ 00:16:41.600 Mustafa Raja: Data sources…
138 00:16:42.520 ⇒ 00:16:55.309 Demilade Agboola: Like, for instance, when we’re seeing, like, customer acquisition costs, I don’t actually know where they keep all of their customer… that customer acquisition data, like, how much it costs on… how much they’re spending on ads. I’ll need to talk to Kapien about that.
139 00:16:55.560 ⇒ 00:16:56.580 Mustafa Raja: Okay.
140 00:16:57.530 ⇒ 00:17:00.800 Demilade Agboola: So, number one is figure out all data sources, connect to them.
141 00:17:01.300 ⇒ 00:17:04.609 Demilade Agboola: And then extract the data from the data sources.
142 00:17:07.829 ⇒ 00:17:10.829 Mustafa Raja: By extract, we mean,
143 00:17:11.219 ⇒ 00:17:14.759 Mustafa Raja: store it in our… what’s it called? Motherluck, right?
144 00:17:15.190 ⇒ 00:17:15.960 Demilade Agboola: Yes.
145 00:17:16.579 ⇒ 00:17:17.019 Mustafa Raja: Yeah.
146 00:17:17.020 ⇒ 00:17:18.759 Demilade Agboola: Do we still want to use Mother Doc?
147 00:17:20.859 ⇒ 00:17:26.429 Mustafa Raja: I think we do, but this is… this could be a question that we could ask in our Slack channel, right?
148 00:17:26.740 ⇒ 00:17:31.070 Demilade Agboola: Sounds good. If… no, mother luck is fine, I just want to know if that’s last… we’re set on it.
149 00:17:31.070 ⇒ 00:17:35.649 Mustafa Raja: Yeah, yeah, yeah, before committing, it would be nice to know that, yeah, we are committing to the right thing, right?
150 00:17:35.820 ⇒ 00:17:37.180 Demilade Agboola: Okay, sounds good.
151 00:17:38.340 ⇒ 00:17:39.430 Mustafa Raja: Huh? Okay.
152 00:17:41.490 ⇒ 00:17:50.759 Mustafa Raja: I’m just going to, say that this is R… What’s it called? Data Warehouse?
153 00:17:53.200 ⇒ 00:17:54.490 Mustafa Raja: warehouse…
154 00:18:03.490 ⇒ 00:18:04.360 Mustafa Raja: Okay.
155 00:18:05.880 ⇒ 00:18:06.830 Mustafa Raja: Okay.
156 00:18:07.200 ⇒ 00:18:12.310 Mustafa Raja: And these two should, should be… should be it, or do we have any other…
157 00:18:15.270 ⇒ 00:18:23.500 Demilade Agboola: Connexable Health and extracts the data And then… yes.
158 00:18:23.500 ⇒ 00:18:24.510 Mustafa Raja: Also, DBT.
159 00:18:25.430 ⇒ 00:18:26.850 Demilade Agboola: Yeah, set up DBT.
160 00:18:27.810 ⇒ 00:18:30.010 Mustafa Raja: Set up DBT…
161 00:18:30.860 ⇒ 00:18:33.929 Demilade Agboola: Also, what we will also need to do is…
162 00:18:37.420 ⇒ 00:18:40.500 Demilade Agboola: It depends on the tool we use, so, like…
163 00:18:41.020 ⇒ 00:18:47.010 Demilade Agboola: first time, if we use Fivetran, we wouldn’t have to think about, like, setting up…
164 00:18:47.400 ⇒ 00:18:50.870 Demilade Agboola: Airflow, or Daxter, or Prefect.
165 00:18:51.160 ⇒ 00:18:57.040 Demilade Agboola: But if we’re… if we need… if we need an orchestrator, then we would need to have another tool.
166 00:18:57.400 ⇒ 00:19:04.339 Demilade Agboola: But, like, right now, that’s fine. Let’s just… let’s just leave it like this, and if things get more complex, we’ll… we will, put it there.
167 00:19:04.600 ⇒ 00:19:08.569 Mustafa Raja: Okay, okay. Yeah, we could break this down further then, right?
168 00:19:08.890 ⇒ 00:19:15.120 Mustafa Raja: Because… because that… that sort of, is with the connection, right? How we are connecting to it.
169 00:19:15.610 ⇒ 00:19:16.210 Demilade Agboola: Yeah.
170 00:19:17.600 ⇒ 00:19:19.790 Mustafa Raja: Okay, this looks good then, right?
171 00:19:21.730 ⇒ 00:19:25.329 Mustafa Raja: For ETL, or do we have… should we have more tasks?
172 00:19:26.050 ⇒ 00:19:27.500 Demilade Agboola: I think for ETL, that’s fine.
173 00:19:28.430 ⇒ 00:19:36.640 Mustafa Raja: Okay, for Salesforce Exploration, let me open up Linear and lay out what we have there.
174 00:19:36.990 ⇒ 00:19:37.650 Mustafa Raja: study.
175 00:19:40.610 ⇒ 00:19:44.979 Mustafa Raja: Salesforce… Data exploration modeling.
176 00:19:54.140 ⇒ 00:19:55.250 Mustafa Raja: important room.
177 00:19:56.820 ⇒ 00:20:00.740 Mustafa Raja: Is there anything else that needs to go here?
178 00:20:01.040 ⇒ 00:20:03.820 Mustafa Raja: Is there any BI work or something?
179 00:20:04.930 ⇒ 00:20:10.230 Demilade Agboola: Potentially, yes, the BI work would be for whoever wants to look at
180 00:20:11.610 ⇒ 00:20:15.479 Demilade Agboola: the numbers, I think, yes, BA work will be here. So, we’ll build out the dashboard.
181 00:20:16.240 ⇒ 00:20:16.790 Demilade Agboola: Yeah.
182 00:20:18.670 ⇒ 00:20:20.090 Mustafa Raja: Dashboard…
183 00:20:31.110 ⇒ 00:20:32.030 Mustafa Raja: Okay.
184 00:20:32.480 ⇒ 00:20:38.699 Mustafa Raja: Do you know some, some of these tasks for GTM revenue?
185 00:20:40.130 ⇒ 00:20:45.150 Demilade Agboola: So GTM revenue would also be, number one, get…
186 00:20:45.690 ⇒ 00:20:49.540 Demilade Agboola: Define business metrics, so we need to know how, like.
187 00:20:50.060 ⇒ 00:20:54.500 Demilade Agboola: What ad spend means, like, how much, like, ad spend,
188 00:20:55.280 ⇒ 00:20:57.660 Demilade Agboola: So just, we need to define those business metrics.
189 00:20:59.500 ⇒ 00:21:00.190 Mustafa Raja: Okay.
190 00:21:00.620 ⇒ 00:21:14.699 Demilade Agboola: Also, we need to… so next up, I’ll be first up. Next up would be where the metrics are, available at, so what sources. So, we might not always have every single source, we need to know where the metrics are found at, so, like, connect the.
191 00:21:14.700 ⇒ 00:21:16.349 Mustafa Raja: Okay, data sources for metrics?
192 00:21:16.350 ⇒ 00:21:18.880 Demilade Agboola: Yeah. Right? Yeah, the data source is okay.
193 00:21:23.080 ⇒ 00:21:26.680 Mustafa Raja: For KPIs or metrics, I think it’s been succeed.
194 00:21:26.950 ⇒ 00:21:27.929 Demilade Agboola: Yeah, for the metrics.
195 00:21:30.760 ⇒ 00:21:33.450 Demilade Agboola: And then model it, we’ll need to model.
196 00:21:33.730 ⇒ 00:21:34.560 Demilade Agboola: So…
197 00:21:34.560 ⇒ 00:21:35.839 Mustafa Raja: Modeling, okay.
198 00:21:37.130 ⇒ 00:21:38.840 Mustafa Raja: Modeling work…
199 00:21:41.070 ⇒ 00:21:42.210 Demilade Agboola: the MDI work.
200 00:21:45.010 ⇒ 00:21:45.530 Demilade Agboola: So we’ll need to…
201 00:21:45.530 ⇒ 00:21:46.510 Mustafa Raja: dashboard.
202 00:21:47.580 ⇒ 00:21:48.330 Mustafa Raja: Yep.
203 00:21:48.560 ⇒ 00:21:50.639 Mustafa Raja: And then, for this one.
204 00:21:55.290 ⇒ 00:21:59.319 Mustafa Raja: Actually, for ETL, there’s an ETL diagram, okay.
205 00:21:59.610 ⇒ 00:22:00.350 Mustafa Raja: Dude.
206 00:22:00.490 ⇒ 00:22:05.660 Mustafa Raja: Should Diana from… Sorry, I can’t.
207 00:22:07.510 ⇒ 00:22:10.550 Mustafa Raja: So, for the customer product, so, again.
208 00:22:11.240 ⇒ 00:22:14.419 Demilade Agboola: I think this… their database is super big, right?
209 00:22:15.040 ⇒ 00:22:15.850 Mustafa Raja: Yes.
210 00:22:15.850 ⇒ 00:22:17.620 Demilade Agboola: They’re working with Chubris.
211 00:22:17.760 ⇒ 00:22:21.539 Demilade Agboola: The data that we have, that we have in the dashboard is from Superbase.
212 00:22:22.440 ⇒ 00:22:25.529 Mustafa Raja: Yes, that is all they have in Subis, yes.
213 00:22:26.010 ⇒ 00:22:30.990 Demilade Agboola: Yeah, so we will… in that case, What we’ll do is…
214 00:22:31.950 ⇒ 00:22:39.520 Demilade Agboola: dbt modeling, because, well, the logic we have is just for the one-time export, we’ll need to have it in a dbt model.
215 00:22:40.770 ⇒ 00:22:42.690 Mustafa Raja: Okay, so dbt modeling.
216 00:22:42.890 ⇒ 00:22:43.620 Demilade Agboola: Yes.
217 00:22:48.380 ⇒ 00:22:52.880 Mustafa Raja: How would we be, tracking activity? I believe tools like…
218 00:22:53.040 ⇒ 00:22:57.250 Mustafa Raja: Amplitude and stuff like that helps us with that.
219 00:23:00.790 ⇒ 00:23:02.869 Demilade Agboola: I’m not… what sort of activity?
220 00:23:03.590 ⇒ 00:23:10.099 Mustafa Raja: Yeah, what sort of activity are we going to look for this work stream, then?
221 00:23:10.620 ⇒ 00:23:15.689 Demilade Agboola: So for… it would be things like how many, integrations were used by a new user.
222 00:23:15.690 ⇒ 00:23:17.140 Mustafa Raja: Oh, okay, okay.
223 00:23:17.140 ⇒ 00:23:36.849 Demilade Agboola: So, like, if, for instance, if there are 3… if there are two users that join on the same day, and maybe in the first five days, one user has used 20 integrations, another user has only used 2 integrations, they want to be able to reach out to that user that has used 20 and say, hey, you need to get… you should probably get this plan, because it will help save you whatever, whatever, whatever.
224 00:23:37.450 ⇒ 00:23:38.100 Mustafa Raja: Yeah, yeah, yeah.
225 00:23:38.100 ⇒ 00:23:51.840 Demilade Agboola: want to be able to understand what the users are doing across the product. That’s why I said, it’s the customer product activity. So, like, how are they using the product? And to the people who are really using it, they want to be able to upsell them, so they don’t just use the free ones and go away.
226 00:23:53.040 ⇒ 00:23:53.680 Mustafa Raja: Okay.
227 00:23:54.690 ⇒ 00:23:55.430 Demilade Agboola: So…
228 00:23:55.430 ⇒ 00:23:57.500 Mustafa Raja: That’s good. Okay, so dbt modeling.
229 00:23:57.500 ⇒ 00:24:01.950 Demilade Agboola: I know we already have some of the logic already, that’s why I asked if it’s from Superbase. In that case, we already.
230 00:24:01.950 ⇒ 00:24:02.470 Mustafa Raja: Yeah, yeah.
231 00:24:02.470 ⇒ 00:24:07.060 Demilade Agboola: logic. We’ll just need to ensure that it’s for this specific use case.
232 00:24:07.160 ⇒ 00:24:14.530 Demilade Agboola: So for free, right before free users in particular, that kind of stuff. Or new users, we’ve got the last 30 days, that kind of thing.
233 00:24:15.270 ⇒ 00:24:22.250 Demilade Agboola: Yeah, so it would be dbt modeling, and then would have to do a dashboard work.
234 00:24:28.540 ⇒ 00:24:29.319 Mustafa Raja: That’s it.
235 00:24:30.970 ⇒ 00:24:34.649 Demilade Agboola: Yeah, and then for the modeling, so this would be…
236 00:24:35.340 ⇒ 00:24:38.899 Demilade Agboola: This will be… building out the…
237 00:24:39.360 ⇒ 00:24:41.820 Demilade Agboola: Model, like the logic, the business logic.
238 00:24:42.160 ⇒ 00:24:44.239 Demilade Agboola: For how we want to weigh.
239 00:24:46.520 ⇒ 00:24:51.499 Demilade Agboola: Okay. So it’s just building out, like, business logic, basically. That would be the first step.
240 00:24:59.280 ⇒ 00:25:05.460 Demilade Agboola: And then the next step would be reverse ETL, so we’ll need to push it back to their CRM.
241 00:25:07.610 ⇒ 00:25:08.650 Mustafa Raja: Oh, okay.
242 00:25:09.180 ⇒ 00:25:22.099 Demilade Agboola: Yes, because they want to have it available, so, like, it’s just, like, so every user that has a particular score, send this email to them. Every user that has below this, like, within this particular score, do this, you know, so they want to have a decision system.
243 00:25:22.810 ⇒ 00:25:23.470 Mustafa Raja: Lucky.
244 00:25:23.780 ⇒ 00:25:24.340 Demilade Agboola: Yeah.
245 00:25:25.120 ⇒ 00:25:26.490 Mustafa Raja: Yeah, this is pretty much it then.
246 00:25:27.210 ⇒ 00:25:29.420 Demilade Agboola: Yeah, pretty much it for now. Like, I still have.
247 00:25:29.420 ⇒ 00:25:29.960 Mustafa Raja: Okay.
248 00:25:29.960 ⇒ 00:25:34.900 Demilade Agboola: Dan, later today, and we’ll see what… Well, he needs as well.
249 00:25:36.090 ⇒ 00:25:48.129 Mustafa Raja: Okay, so… Let’s lay this out. How do you lay this out? Okay. Data exploration… And then I,
250 00:25:50.320 ⇒ 00:25:55.250 Mustafa Raja: So, we started this week. Do you think this is a good timeline for this?
251 00:25:55.660 ⇒ 00:25:58.430 Mustafa Raja: By next Monday.
252 00:25:59.860 ⇒ 00:26:01.280 Demilade Agboola: The exploration?
253 00:26:01.650 ⇒ 00:26:02.360 Mustafa Raja: Yep.
254 00:26:03.750 ⇒ 00:26:07.270 Demilade Agboola: But, you know, the expiration includes… oh, the expression alone.
255 00:26:07.270 ⇒ 00:26:07.950 Mustafa Raja: Excuse.
256 00:26:08.130 ⇒ 00:26:10.220 Demilade Agboola: Yeah, sure, sure, sure, sure. By next week, Monday is fine.
257 00:26:10.220 ⇒ 00:26:15.009 Mustafa Raja: And then, do you need a week or two weeks for modeling?
258 00:26:15.380 ⇒ 00:26:21.019 Demilade Agboola: Modeling should be done… yeah, by next week, next week. Like, it should be done next week.
259 00:26:21.600 ⇒ 00:26:25.959 Mustafa Raja: So, a week is fine with the, light, right?
260 00:26:27.100 ⇒ 00:26:27.810 Demilade Agboola: Yes.
261 00:26:29.650 ⇒ 00:26:30.300 Mustafa Raja: Okay.
262 00:26:30.780 ⇒ 00:26:34.259 Mustafa Raja: Let me know if you need, need some more time, Alex. I can make it…
263 00:26:34.260 ⇒ 00:26:38.700 Demilade Agboola: Yeah, I’ll let you know if I need more time, but yeah, we should… And it’s not.
264 00:26:40.680 ⇒ 00:26:43.509 Mustafa Raja: Okay. And I guess a week for Dashboard then, right?
265 00:26:47.680 ⇒ 00:26:51.559 Demilade Agboola: and then the dashboard for Salesforce data,
266 00:26:52.370 ⇒ 00:26:54.029 Demilade Agboola: I think that should also be one week.
267 00:26:54.530 ⇒ 00:26:55.510 Demilade Agboola: Okay, that’s…
268 00:26:56.600 ⇒ 00:27:00.179 Mustafa Raja: Okay, and how are we doing the exploration of this?
269 00:27:00.820 ⇒ 00:27:02.809 Demilade Agboola: So this, yeah, that’s where, you know, mainly.
270 00:27:02.810 ⇒ 00:27:03.620 Mustafa Raja: Absolutely.
271 00:27:04.240 ⇒ 00:27:07.519 Demilade Agboola: So exploring all data sources will come from conversations with
272 00:27:07.690 ⇒ 00:27:22.780 Demilade Agboola: the team, like, how they currently source their data, and all their data sources. I think, to be fair, we have a good idea of some of these things, but we might still need to get some more context. Like, we know, like, Super Base, we know Clay, we know, like, the number of things we already know.
273 00:27:22.960 ⇒ 00:27:30.840 Demilade Agboola: But, like, maybe for marketing, like, do they have Northbeam, or how do they sell their affiliate? How do they push their affiliate marketing?
274 00:27:31.540 ⇒ 00:27:40.839 Demilade Agboola: So I’ll say one week, because we will need to be able to explore, know what it is, and get access, so that’s part of what I consider.
275 00:27:40.840 ⇒ 00:27:44.550 Mustafa Raja: By end of next week is, is good enough, right, then?
276 00:27:44.550 ⇒ 00:27:46.509 Demilade Agboola: Yes, by end of next week, that’s fine.
277 00:27:47.340 ⇒ 00:27:52.729 Mustafa Raja: Yeah, so this, and are you okay with these two work streams being a little parallel?
278 00:27:53.460 ⇒ 00:27:57.369 Demilade Agboola: Yes, because the expiration for Salesforce is… is the one-time export.
279 00:27:57.370 ⇒ 00:27:57.750 Mustafa Raja: Yeah, yeah, yeah.
280 00:27:58.010 ⇒ 00:27:58.929 Demilade Agboola: Yeah, so it’s…
281 00:27:58.930 ⇒ 00:27:59.300 Mustafa Raja: It doesn’t.
282 00:27:59.650 ⇒ 00:28:01.070 Demilade Agboola: Overlap with that.
283 00:28:01.880 ⇒ 00:28:02.700 Mustafa Raja: Okay.
284 00:28:02.870 ⇒ 00:28:04.380 Mustafa Raja: And…
285 00:28:06.110 ⇒ 00:28:16.160 Mustafa Raja: Okay, so this… this could be… this could take more time if we have to do a Daxter or something. If 5-strand or Polytomic does it, then it’s fine, right?
286 00:28:16.790 ⇒ 00:28:24.080 Demilade Agboola: Yeah, so I think… I would say let’s… let’s… let’s aim for, like, I mean…
287 00:28:24.800 ⇒ 00:28:28.330 Demilade Agboola: Because if… if it’s… if they’re simple things.
288 00:28:29.140 ⇒ 00:28:29.830 Mustafa Raja: Hmm.
289 00:28:30.900 ⇒ 00:28:33.769 Demilade Agboola: It… if we have, like, polyatomic.
290 00:28:33.960 ⇒ 00:28:40.609 Demilade Agboola: We should be able to set it up maybe in 3 days, for instance, because it might not be so many data sources, maybe going to be, like.
291 00:28:40.740 ⇒ 00:28:41.240 Demilade Agboola: 5.
292 00:28:41.240 ⇒ 00:28:41.980 Mustafa Raja: Okay.
293 00:28:43.000 ⇒ 00:28:43.630 Demilade Agboola: But…
294 00:28:44.480 ⇒ 00:28:53.140 Demilade Agboola: obviously, the complication would be if Polytomic doesn’t have it, you know, because Polyatomic might not have certain connections, so we might need to have custom connections created.
295 00:28:53.420 ⇒ 00:28:58.700 Demilade Agboola: So that… so you know what I think. I think let’s do a 3-day… timeline.
296 00:28:58.850 ⇒ 00:29:08.459 Demilade Agboola: But if we need to extend it, we will just mark it, right? We’ll just say, hey, what’s going on is… this is what… this is what happened, right? Like, we need more time, because…
297 00:29:11.610 ⇒ 00:29:24.970 Demilade Agboola: So we can do… so by… if we start on a Monday, we should be done by, like, Wednesday, but if we need custom connections, we might now put a question mark and just be like, yeah, this… this might be longer because Polyatomic needs to do this.
298 00:29:53.750 ⇒ 00:29:55.030 Mustafa Raja: This is good, I think.
299 00:30:00.770 ⇒ 00:30:10.170 Demilade Agboola: Okay, so for the setup for dbt for data sources… So that… Potentially take, like, A week?
300 00:30:17.450 ⇒ 00:30:23.210 Mustafa Raja: This… I guess one… hmm…
301 00:30:23.470 ⇒ 00:30:26.519 Mustafa Raja: This should be done after we have set it up right.
302 00:30:28.340 ⇒ 00:30:29.209 Demilade Agboola: What should we be doing?
303 00:30:29.820 ⇒ 00:30:31.210 Mustafa Raja: this agriculture diagram.
304 00:30:31.560 ⇒ 00:30:38.110 Demilade Agboola: Yes, yes. I mean, well, we can do it in parallel, so to be fair, you can put it underneath, like, the entire flow, so it’s not like…
305 00:30:38.560 ⇒ 00:30:55.099 Demilade Agboola: So, you know, as we’re exploring the data sources, as we’re getting exactly, we can start saying, we know that, like, oh, this is our, warehouse, we’ve added this data, this data source, we put it there, we’ve added polyatomic, connected it to the… you get my point, like, you can… as we’re doing it, all these processes.
306 00:30:55.180 ⇒ 00:30:59.929 Demilade Agboola: We can have it have… we can have the architectural diagram being done underneath, like.
307 00:31:00.690 ⇒ 00:31:01.750 Mustafa Raja: Yep.
308 00:31:03.160 ⇒ 00:31:03.960 Mustafa Raja: Yep.
309 00:31:04.480 ⇒ 00:31:10.149 Mustafa Raja: Okay… This is you, this is all you.
310 00:31:12.530 ⇒ 00:31:15.319 Mustafa Raja: Yeah, so… what do you think about this one?
311 00:31:26.570 ⇒ 00:31:30.229 Mustafa Raja: Oh, okay, okay, yeah, let’s go on with this first.
312 00:31:37.540 ⇒ 00:31:42.399 Demilade Agboola: Let me see, so that is the defined business metric, so I think that… that one will come…
313 00:31:44.290 ⇒ 00:31:48.060 Demilade Agboola: After, so let’s do after… Or dorm ETL.
314 00:31:48.890 ⇒ 00:31:53.050 Demilade Agboola: Actually, no, we can do it. We can do it, no, we can do it before ETL is done.
315 00:31:53.560 ⇒ 00:31:55.510 Demilade Agboola: Yeah, so, like, after the Salesforce week?
316 00:31:57.060 ⇒ 00:31:58.180 Mustafa Raja: Cecilia.
317 00:31:58.480 ⇒ 00:31:59.940 Demilade Agboola: So let’s just have it there.
318 00:32:01.540 ⇒ 00:32:04.939 Mustafa Raja: So, how long do you think this would take, business metrics?
319 00:32:05.710 ⇒ 00:32:11.170 Demilade Agboola: It just… it’s calls, so once we set up calls with different people, so let’s say maybe 3 days.
320 00:32:11.580 ⇒ 00:32:16.919 Demilade Agboola: Okay. Once we’re able to get the calls, and we say, hey, this is how we define revenue.
321 00:32:17.060 ⇒ 00:32:23.349 Demilade Agboola: do you, like, do you have taxes in this? Are we trying to remove taxes? What’s net profit? What’s… that kind of stuff.
322 00:32:23.580 ⇒ 00:32:31.230 Demilade Agboola: That’s what we’ll be defining. Data sources for my… that should, again, maybe take…
323 00:32:31.340 ⇒ 00:32:42.290 Demilade Agboola: 2 days or 3 days. So the idea is, potentially, if what they need from a data source is not included in what we’ve extracted above, we will need that.
324 00:32:42.290 ⇒ 00:32:42.850 Mustafa Raja: Thank you.
325 00:32:42.850 ⇒ 00:32:44.800 Demilade Agboola: Credit, we don’t… we don’t need it.
326 00:32:45.580 ⇒ 00:32:53.170 Demilade Agboola: So if they say, oh, we get our data from, you know, one other tool, and we were not aware of it, we’ll just do that process.
327 00:32:53.310 ⇒ 00:32:54.239 Mustafa Raja: Okay, okay, okay.
328 00:32:54.240 ⇒ 00:32:58.729 Demilade Agboola: And the modeling work should… so that will probably be one week, so the week after that.
329 00:33:13.320 ⇒ 00:33:13.940 Mustafa Raja: Yeah.
330 00:33:15.310 ⇒ 00:33:16.560 Mustafa Raja: NBA work?
331 00:33:19.740 ⇒ 00:33:22.199 Demilade Agboola: So that’s also probably, like, a week.
332 00:33:23.470 ⇒ 00:33:24.090 Mustafa Raja: Yeah.
333 00:33:26.050 ⇒ 00:33:27.859 Mustafa Raja: Okay, now this one.
334 00:33:30.870 ⇒ 00:33:35.480 Demilade Agboola: So it’s a custom activity dash.
335 00:33:37.250 ⇒ 00:33:39.340 Demilade Agboola: Can’t we have two things in parallel?
336 00:33:40.380 ⇒ 00:33:41.899 Demilade Agboola: is what I’m trying to think of.
337 00:33:42.380 ⇒ 00:33:43.100 Mustafa Raja: Yeah, yeah.
338 00:33:43.100 ⇒ 00:33:47.030 Demilade Agboola: While we’re working on the GTM, we could also work on this, but it depends on…
339 00:33:47.700 ⇒ 00:33:50.399 Demilade Agboola: How comfortable are you with, like, dbt and modeling?
340 00:33:51.240 ⇒ 00:33:54.190 Mustafa Raja: Oh, I haven’t modeled anything, but…
341 00:33:54.850 ⇒ 00:33:57.089 Mustafa Raja: But I could take a Sabbath.
342 00:33:57.820 ⇒ 00:34:04.210 Demilade Agboola: Okay. I just want to know, so it, like, lets me know if we shoot things in parallel or sequentially, that’s kind of…
343 00:34:05.930 ⇒ 00:34:08.000 Mustafa Raja: Yeah, so…
344 00:34:10.639 ⇒ 00:34:16.579 Mustafa Raja: Yeah, it really depends on how comfortable you are with it. I mean, I can always chip in.
345 00:34:16.960 ⇒ 00:34:19.579 Mustafa Raja: And have you review my work?
346 00:34:20.170 ⇒ 00:34:25.169 Demilade Agboola: Okay, yes, in that case… We can try and do some things in parallel.
347 00:34:25.179 ⇒ 00:34:25.559 Mustafa Raja: Okay.
348 00:34:25.560 ⇒ 00:34:31.990 Demilade Agboola: I think my only thing is just because I could probably say I would do it, but I don’t want to overcommit, because, you know.
349 00:34:32.500 ⇒ 00:34:33.630 Mustafa Raja: Yeah, yeah. Fascinating, yeah.
350 00:34:33.630 ⇒ 00:34:45.459 Demilade Agboola: And next month, all of a sudden, you know, we might have more clients, and there’s more stuff to do. So let’s have… let’s have that in parallel, so while you’re working on it, I can be there, just to, like, support you in case you need any help.
351 00:34:48.340 ⇒ 00:34:53.629 Mustafa Raja: So how parallel, which week, are we trying to put this in?
352 00:34:54.250 ⇒ 00:34:59.459 Demilade Agboola: So in this case, since it’s very similar to… What we already have.
353 00:35:00.030 ⇒ 00:35:09.329 Demilade Agboola: you can actually, once we’re done setting up for, like, the first week of February, so once we’re done setting up dbt for data sources, we should be able to start doing the same.
354 00:35:09.330 ⇒ 00:35:10.040 Mustafa Raja: Okay.
355 00:35:10.430 ⇒ 00:35:11.080 Demilade Agboola: Yeah.
356 00:35:12.070 ⇒ 00:35:14.249 Mustafa Raja: So, this should take a week.
357 00:35:16.140 ⇒ 00:35:17.280 Demilade Agboola: Yes, this should take a week.
358 00:35:18.660 ⇒ 00:35:20.590 Mustafa Raja: Same for the BIU work, right?
359 00:35:21.250 ⇒ 00:35:21.970 Demilade Agboola: Yes.
360 00:35:22.720 ⇒ 00:35:26.880 Mustafa Raja: And then this is, these two are also going to take a week over.
361 00:35:30.350 ⇒ 00:35:33.090 Demilade Agboola: Let me see, VI work shows, like, a weekend.
362 00:35:33.290 ⇒ 00:35:40.050 Demilade Agboola: So that might be a bit trickier. Reverse detail should take…
363 00:35:40.190 ⇒ 00:35:43.869 Demilade Agboola: less than a week, to be honest. Like, once we have it done.
364 00:35:44.690 ⇒ 00:35:55.779 Demilade Agboola: it’ll probably take, like, 3 days, because it’s like, once the data is available in the model doc, it’s just to use Polyatomic and push it back to whatever their CRM is. Again, the only complication is if
365 00:35:55.970 ⇒ 00:35:59.450 Demilade Agboola: Mother Doc, as if, polyatomic.
366 00:35:59.600 ⇒ 00:36:04.360 Demilade Agboola: Doesn’t have, the connector, like, the CRM that they use.
367 00:36:04.360 ⇒ 00:36:04.680 Mustafa Raja: Okay.
368 00:36:04.820 ⇒ 00:36:13.610 Demilade Agboola: cannot push it back to them. That will be the only issue, so that might make it longer. But in terms of, like, the initial forecast, probably 3 days should be fine. 3, 4 days should be fine.
369 00:36:14.340 ⇒ 00:36:15.030 Mustafa Raja: Okay.
370 00:36:15.150 ⇒ 00:36:17.810 Demilade Agboola: And for business logic, should I put 2 weeks, then?
371 00:36:18.410 ⇒ 00:36:20.029 Demilade Agboola: For business logic.
372 00:36:23.620 ⇒ 00:36:30.140 Demilade Agboola: Yes. Put… put… put… don’t put two full weeks, put, like, from a Monday to the following Wednesday.
373 00:36:31.780 ⇒ 00:36:33.430 Demilade Agboola: Yes, something like that.
374 00:36:33.560 ⇒ 00:36:42.099 Demilade Agboola: So the idea is that would be… yeah, and then Wednesday to… yeah, we should just use that to push the logic back. So it is, we need to be able to…
375 00:36:42.660 ⇒ 00:36:48.130 Demilade Agboola: understand, fully understand, like, what they need, in that sense.
376 00:36:49.500 ⇒ 00:36:52.340 Demilade Agboola: But I also want you… I also want us to know that, like.
377 00:36:52.570 ⇒ 00:37:02.210 Demilade Agboola: This customer qualification model is low priority relatively, so if I speak with Stan and he wants other things, we will push this further back.
378 00:37:03.550 ⇒ 00:37:05.450 Mustafa Raja: Okay, yeah, that works.
379 00:37:05.450 ⇒ 00:37:09.949 Demilade Agboola: Because, yeah, because we don’t, like, it makes no sense to give everything to…
380 00:37:10.100 ⇒ 00:37:14.290 Demilade Agboola: one person, if Standard wants other things that are not related to any of these things.
381 00:37:14.400 ⇒ 00:37:18.279 Demilade Agboola: We will also have to handle what Stan needs, and then in Phase 2, we will need to…
382 00:37:18.750 ⇒ 00:37:19.759 Demilade Agboola: Look at that.
383 00:37:23.150 ⇒ 00:37:23.850 Mustafa Raja: Okay.
384 00:37:24.170 ⇒ 00:37:27.629 Mustafa Raja: This is you, and this is me.
385 00:37:46.960 ⇒ 00:37:57.029 Mustafa Raja: Okay, how do we… I think it’s like this.
386 00:38:19.100 ⇒ 00:38:24.479 Mustafa Raja: I’m trying to see how we can, do dependencies. I guess this works, right?
387 00:38:29.110 ⇒ 00:38:32.179 Mustafa Raja: Do you want to add, any more dependencies here?
388 00:38:34.930 ⇒ 00:38:37.629 Demilade Agboola: What dependencies? Oh, yeah, yeah, so, like, yeah, the depend…
389 00:38:37.630 ⇒ 00:38:44.239 Mustafa Raja: So this one is dependent on, yeah. So, yeah, we cannot work on this prior to this, right?
390 00:38:45.970 ⇒ 00:38:49.480 Demilade Agboola: Yeah, yeah, so that would be dependent on that, yeah.
391 00:38:49.480 ⇒ 00:38:50.529 Mustafa Raja: Yeah, so this is…
392 00:38:50.530 ⇒ 00:38:57.020 Demilade Agboola: ETL is… everything is dependent on ETL, by the way. Like, everything after, you know, Salesforce exploration is dependent on ETL.
393 00:38:58.810 ⇒ 00:39:00.880 Mustafa Raja: Okay,
394 00:39:04.380 ⇒ 00:39:08.380 Mustafa Raja: Is it dependent on, setup dbt for data sources?
395 00:39:09.080 ⇒ 00:39:12.410 Mustafa Raja: Or connect all data sources to data warehouse.
396 00:39:15.140 ⇒ 00:39:20.599 Demilade Agboola: It’s dependent on… Set up dbt for data sources, yes.
397 00:39:21.770 ⇒ 00:39:25.430 Mustafa Raja: So then we should… we should push this forward then, though.
398 00:39:25.810 ⇒ 00:39:30.999 Demilade Agboola: Yeah, well, we can do the… we can define… so defining business metrics is just, like, talking to people and figuring out.
399 00:39:31.000 ⇒ 00:39:32.459 Mustafa Raja: Okay, okay, yeah, yeah, yeah, right, you’re right.
400 00:39:32.660 ⇒ 00:39:39.880 Demilade Agboola: So, it’s, like, data… It’s everything, like, after that, so, like, the data… Sources for metrics.
401 00:39:42.730 ⇒ 00:39:43.470 Mustafa Raja: Yeah.
402 00:39:43.660 ⇒ 00:39:47.829 Demilade Agboola: And everything after that that is on dbt modeling that we need it for.
403 00:39:52.800 ⇒ 00:39:56.999 Mustafa Raja: Okay… And modeling is offered, of course, this.
404 00:39:57.460 ⇒ 00:40:00.259 Mustafa Raja: We could do this, then.
405 00:40:04.920 ⇒ 00:40:05.870 Mustafa Raja: Okay.
406 00:40:16.810 ⇒ 00:40:17.720 Mustafa Raja: Okay.
407 00:40:19.540 ⇒ 00:40:22.600 Mustafa Raja: This is… Started.
408 00:40:23.540 ⇒ 00:40:29.949 Mustafa Raja: This is also started… This is sort of started.
409 00:40:33.910 ⇒ 00:40:36.490 Mustafa Raja: Okay, yeah, this is good then, right?
410 00:40:37.100 ⇒ 00:40:41.350 Demilade Agboola: Yes, yeah, I think this is good. You can send it to Utah and see what he has to say about, like…
411 00:40:41.350 ⇒ 00:40:48.750 Mustafa Raja: Yeah, I’ll… I’ll send it to Clarence and Utam. Let me actually add Clarence… Yo.
412 00:40:49.590 ⇒ 00:40:55.700 Mustafa Raja: Because… that way… He ha- he can actually view it.
413 00:40:56.830 ⇒ 00:40:58.060 Mustafa Raja: Members…
414 00:41:02.350 ⇒ 00:41:03.490 Mustafa Raja: And…
415 00:41:09.470 ⇒ 00:41:10.200 Mustafa Raja: P.
416 00:41:11.310 ⇒ 00:41:12.160 Mustafa Raja: Right.
417 00:41:13.620 ⇒ 00:41:17.169 Mustafa Raja: Okay, and one last thing before we wrap it up.
418 00:41:17.340 ⇒ 00:41:23.329 Mustafa Raja: Do you want to put anything in the risks for this week, or is it good to send?
419 00:41:25.040 ⇒ 00:41:25.599 Demilade Agboola: Yeah, this is…
420 00:41:25.600 ⇒ 00:41:26.909 Mustafa Raja: It would be for this week.
421 00:41:27.350 ⇒ 00:41:32.750 Demilade Agboola: Yeah, I would hop in and add the risk. So, the risk is access, basically.
422 00:41:35.340 ⇒ 00:41:37.009 Mustafa Raja: Access to data sources, right?
423 00:41:37.390 ⇒ 00:41:40.439 Demilade Agboola: Yeah, access to data sources.
424 00:41:40.440 ⇒ 00:41:42.510 Mustafa Raja: But this wouldn’t be for this week, though, right?
425 00:41:43.160 ⇒ 00:41:45.499 Demilade Agboola: No, it’ll be for, like, next week. Like, it’s just, like.
426 00:41:45.500 ⇒ 00:41:46.230 Mustafa Raja: Yeah, yeah, yeah.
427 00:41:46.230 ⇒ 00:41:56.409 Demilade Agboola: ahead of time. So, if you put access to data sources, description would be, the description would be…
428 00:41:57.590 ⇒ 00:41:59.349 Demilade Agboola: Yeah, access to data sources.
429 00:41:59.480 ⇒ 00:42:06.129 Demilade Agboola: There’s the potential risk of… because again, it’s just a risk, it doesn’t necessarily mean it’s happening.
430 00:42:06.130 ⇒ 00:42:06.990 Mustafa Raja: Yeah.
431 00:42:06.990 ⇒ 00:42:08.860 Demilade Agboola: Potential risk of…
432 00:42:09.270 ⇒ 00:42:10.640 Mustafa Raja: potential delaying.
433 00:42:10.870 ⇒ 00:42:12.620 Demilade Agboola: Yeah, potential delay in…
434 00:42:13.950 ⇒ 00:42:14.970 Mustafa Raja: In Thailand?
435 00:42:15.560 ⇒ 00:42:23.479 Demilade Agboola: Yeah, potential… And you, see… so, list of data sources will be shared.
436 00:42:24.700 ⇒ 00:42:32.339 Demilade Agboola: That’s the mitigation. So the list of data sources will be shared, and, access will be… should be granted, or access should be granted based off that.
437 00:42:33.020 ⇒ 00:42:42.410 Mustafa Raja: So, Susan would be… Shared… Axis… Two doors… Hmm.
438 00:42:42.730 ⇒ 00:42:44.790 Mustafa Raja: be required.
439 00:42:46.210 ⇒ 00:42:47.529 Mustafa Raja: Or requested.
440 00:42:49.970 ⇒ 00:42:51.450 Mustafa Raja: Okay, this is good then, right?
441 00:42:52.260 ⇒ 00:42:52.880 Demilade Agboola: Yes.
442 00:42:53.730 ⇒ 00:42:57.050 Mustafa Raja: Do you want to add anything, in the slides?
443 00:42:58.270 ⇒ 00:42:59.499 Demilade Agboola: Give me one second, I will.
444 00:43:00.020 ⇒ 00:43:00.930 Demilade Agboola: When do you want to send it?
445 00:43:02.000 ⇒ 00:43:11.360 Mustafa Raja: Yeah, if you could add that in, in, like, an R.
446 00:43:12.080 ⇒ 00:43:12.950 Mustafa Raja: You know?
447 00:43:13.170 ⇒ 00:43:13.809 Demilade Agboola: Okay, sure.
448 00:43:13.810 ⇒ 00:43:16.520 Mustafa Raja: Because Clarence reached out to me yesterday.
449 00:43:17.030 ⇒ 00:43:23.400 Mustafa Raja: Yeah, these things, need to fire on Wednesday.
450 00:43:24.120 ⇒ 00:43:26.230 Mustafa Raja: Managed Friday already, so…
451 00:43:27.770 ⇒ 00:43:29.920 Demilade Agboola: Okay. That’s fine, it’s all good.
452 00:43:31.140 ⇒ 00:43:37.200 Mustafa Raja: Yeah, yeah, so if you could do that in an hour, and ping me, I could just,
453 00:43:37.500 ⇒ 00:43:39.110 Mustafa Raja: Share this with Clarence.
454 00:43:40.720 ⇒ 00:43:41.980 Demilade Agboola: Okay, sounds good.
455 00:43:43.950 ⇒ 00:43:44.570 Mustafa Raja: Pretty.
456 00:43:45.070 ⇒ 00:43:46.860 Mustafa Raja: Yeah, that’s pretty much it, thank you.
457 00:43:47.190 ⇒ 00:43:47.630 Demilade Agboola: Alright.
458 00:43:47.630 ⇒ 00:43:52.280 Mustafa Raja: We’ll be sharing this Gantt chart, with the cleanser.
459 00:43:53.170 ⇒ 00:43:55.039 Mustafa Raja: See what they think about this.
460 00:43:56.990 ⇒ 00:43:59.610 Demilade Agboola: Alright, will do. I’ll let you know when I’m done.
461 00:44:00.370 ⇒ 00:44:01.510 Mustafa Raja: Okay, yeah.
462 00:44:04.450 ⇒ 00:44:11.979 Mustafa Raja: Okay, then. I’ll share this Gantt chart meanwhile, and then I’ll be waiting for your ping.
463 00:44:12.550 ⇒ 00:44:13.750 Demilade Agboola: Alright, sounds good.
464 00:44:14.280 ⇒ 00:44:15.640 Mustafa Raja: Okay, thank you.
465 00:44:16.120 ⇒ 00:44:16.820 Demilade Agboola: You’re welcome.
466 00:44:17.450 ⇒ 00:44:18.030 Mustafa Raja: Yep.
467 00:44:18.420 ⇒ 00:44:19.740 Mustafa Raja: Have a good day. Bye.
468 00:44:19.940 ⇒ 00:44:20.620 Demilade Agboola: Bye.