Meeting Title: Brainforge x Default Data Engineering Sync Date: 2025-12-02 Meeting participants: Awaish Kumar, Mustafa Raja, Uttam Kumaran
WEBVTT
1 00:00:11.690 ⇒ 00:00:12.890 Awaish Kumar: How can you do?
2 00:00:13.810 ⇒ 00:00:15.030 Awaish Kumar: How about you?
3 00:00:54.000 ⇒ 00:00:54.580 Mustafa Raja: Okay.
4 00:00:56.420 ⇒ 00:00:57.550 Awaish Kumar: Hello.
5 00:01:01.650 ⇒ 00:01:04.489 Awaish Kumar: I don’t know if Utam will be joining.
6 00:01:06.200 ⇒ 00:01:06.970 Mustafa Raja: Oh, yeah.
7 00:01:08.820 ⇒ 00:01:16.040 Awaish Kumar: Okay, so for… you have been… Working with default tools.
8 00:01:16.520 ⇒ 00:01:20.530 Awaish Kumar: So, like, do you have any idea?
9 00:01:20.830 ⇒ 00:01:25.400 Awaish Kumar: Where, we… You do.
10 00:01:25.550 ⇒ 00:01:29.999 Awaish Kumar: Data engineering, or… Analytics Engineering Support.
11 00:01:33.080 ⇒ 00:01:35.799 Mustafa Raja: Yeah, for data engineering, I feel,
12 00:01:36.700 ⇒ 00:01:40.190 Mustafa Raja: Now, since we are going to do this, what’s it called,
13 00:01:40.450 ⇒ 00:01:43.319 Mustafa Raja: A mother took, catalyst ingestion.
14 00:01:43.770 ⇒ 00:01:52.949 Mustafa Raja: To extract KPIs from the data, we might need to do some dbt stuff. So, there might… we might need some data engineering help.
15 00:01:54.400 ⇒ 00:01:57.110 Awaish Kumar: So, we, so, okay, we…
16 00:01:57.240 ⇒ 00:02:00.790 Awaish Kumar: First, we need to move data from Mother Duck to Catalyst.
17 00:02:03.180 ⇒ 00:02:06.459 Mustafa Raja: From Mother Duck to S3. And…
18 00:02:06.500 ⇒ 00:02:07.040 Awaish Kumar: Listen.
19 00:02:07.040 ⇒ 00:02:11.089 Mustafa Raja: S32 Catalyst default people would have set up.
20 00:02:13.140 ⇒ 00:02:17.580 Awaish Kumar: That is RiverCTL. Catalyst is platform for… for what?
21 00:02:19.610 ⇒ 00:02:24.610 Mustafa Raja: They just want their customer KPIs, on there.
22 00:02:32.750 ⇒ 00:02:36.909 Awaish Kumar: Okay, so… What we need to do is…
23 00:02:37.090 ⇒ 00:02:43.479 Awaish Kumar: Okay, so data is… so you’re saying that data which is… which is in Mother Duck is in the…
24 00:02:43.890 ⇒ 00:02:50.109 Awaish Kumar: format, which can be directly sent to Catalyst, or does it…
25 00:02:50.110 ⇒ 00:02:55.769 Mustafa Raja: No, so, yeah, we do need to, you know, transform the data into KPIs.
26 00:02:56.630 ⇒ 00:02:59.269 Awaish Kumar: Okay, so mother drug… For example…
27 00:03:00.090 ⇒ 00:03:16.580 Mustafa Raja: Yeah, for example, for example, we have a team, teams table and meetings table, and from those two tables, we can infer how much meetings a team has generated so far, right? So this would be a KPI.
28 00:03:16.820 ⇒ 00:03:17.320 Awaish Kumar: Yeah, I’m…
29 00:03:17.320 ⇒ 00:03:21.070 Mustafa Raja: We need… that we would need to, you know… Yeah.
30 00:03:21.070 ⇒ 00:03:25.710 Awaish Kumar: What I’m trying to say is that we need a, for example, dbt transformation project.
31 00:03:25.890 ⇒ 00:03:29.350 Awaish Kumar: from Mother Dark, we’re going to create some,
32 00:03:30.080 ⇒ 00:03:33.910 Awaish Kumar: Something like that, the metrics or KPIs.
33 00:03:34.200 ⇒ 00:03:40.220 Awaish Kumar: And then we are going to adjust… Have some process, too.
34 00:03:40.700 ⇒ 00:03:47.720 Awaish Kumar: Send those, data exported as maybe… CSV to Catalyst, right?
35 00:03:50.380 ⇒ 00:03:58.909 Mustafa Raja: Yeah. So from Mother Duck, it’ll go to S3, though, right? And from S3, Catalyst would pick up… pick it up.
36 00:03:59.170 ⇒ 00:04:09.440 Awaish Kumar: Yeah, so yeah, that’s the point. And for the mother… from S3 to Catalyst, are we just… do we just want to…
37 00:04:11.560 ⇒ 00:04:17.519 Awaish Kumar: Give that to default, like, team that they should set it up, or… Truly.
38 00:04:17.529 ⇒ 00:04:18.369 Mustafa Raja: I think…
39 00:04:18.370 ⇒ 00:04:18.939 Awaish Kumar: Oh, good.
40 00:04:18.940 ⇒ 00:04:19.680 Mustafa Raja: Yeah, I.
41 00:04:20.000 ⇒ 00:04:24.090 Awaish Kumar: get access from the Catalyst platform, and we just do that.
42 00:04:24.820 ⇒ 00:04:33.780 Mustafa Raja: Okay, so we do have access to the Catalyst platform, but I don’t think that we have access to their S3 bucket. That is the issue.
43 00:04:35.230 ⇒ 00:04:39.979 Awaish Kumar: Yeah, but we… we do need access to S3 bucket anyway, because.
44 00:04:39.980 ⇒ 00:04:40.800 Mustafa Raja: Yes.
45 00:04:40.800 ⇒ 00:04:43.590 Awaish Kumar: Data from Madara.
46 00:04:44.750 ⇒ 00:04:50.749 Mustafa Raja: Yeah, I think we are going to just get the keys from them and not the login, if that makes sense.
47 00:04:52.870 ⇒ 00:05:02.370 Awaish Kumar: Yeah, like, we just need to know how Mother Dragon S3 is going to work, we are going to ask for credentials, and put data there, and then…
48 00:05:02.370 ⇒ 00:05:03.060 Mustafa Raja: Yeah, yeah.
49 00:05:03.060 ⇒ 00:05:16.219 Awaish Kumar: with Catalyst, and how, like, we just need to look at it, how, basically, it gets connected, like, with the API keys, or what service count key, what does it need? I don’t… I don’t know, we just need to check.
50 00:05:17.170 ⇒ 00:05:20.560 Mustafa Raja: So you are… you’re talking about S3 to catalyst connection?
51 00:05:21.210 ⇒ 00:05:23.440 Awaish Kumar: I’m talking about both parts.
52 00:05:23.440 ⇒ 00:05:30.669 Mustafa Raja: Okay, yeah, so… so for… So, for Mother Duck, there’s this documentation.
53 00:05:31.250 ⇒ 00:05:33.619 Mustafa Raja: Let me link it in the Zoom chat.
54 00:05:36.500 ⇒ 00:05:40.170 Mustafa Raja: For S3, I believe Utham wanted them to own that, you know?
55 00:05:41.020 ⇒ 00:05:44.960 Awaish Kumar: Okay, Putnam wanted them to own S32 Catalyst.
56 00:05:44.960 ⇒ 00:05:48.309 Mustafa Raja: Yeah, at least for the test part.
57 00:05:48.660 ⇒ 00:05:49.330 Awaish Kumar: So, is there any…
58 00:05:49.330 ⇒ 00:05:50.869 Mustafa Raja: And then.
59 00:05:50.870 ⇒ 00:05:55.570 Awaish Kumar: Is there any specific reasons? Like, it’s because, we…
60 00:05:55.710 ⇒ 00:06:01.610 Awaish Kumar: We are on hourly, and… and we have a limit on how much hour we can spend, or…
61 00:06:01.910 ⇒ 00:06:02.420 Awaish Kumar: Is that…
62 00:06:02.420 ⇒ 00:06:03.480 Mustafa Raja: Yeah,
63 00:06:03.740 ⇒ 00:06:11.129 Mustafa Raja: Yeah, I don’t, I believe, what he said to me was, we’re not going to get access to S3.
64 00:06:12.490 ⇒ 00:06:21.299 Mustafa Raja: So they have to set that up, and then we would get keys, and using this documentation that I have linked in Zoom chat.
65 00:06:21.480 ⇒ 00:06:24.110 Mustafa Raja: We’ll just set mother dock up.
66 00:06:25.290 ⇒ 00:06:28.580 Mustafa Raja: to send data to S3, you know? Does that make sense?
67 00:06:32.160 ⇒ 00:06:37.830 Awaish Kumar: Yeah, yeah, but, like… how Mother Dog is going to send without any case, like, it doesn’t need keys.
68 00:06:37.830 ⇒ 00:06:43.359 Mustafa Raja: Yeah, we would… I think we aren’t going to get a login, but we would get keys.
69 00:06:43.660 ⇒ 00:06:44.400 Awaish Kumar: Okay.
70 00:06:52.380 ⇒ 00:06:55.829 Awaish Kumar: So we… do we have access to Catalyst platform?
71 00:06:56.900 ⇒ 00:06:57.660 Mustafa Raja: Yes.
72 00:06:57.780 ⇒ 00:06:59.359 Mustafa Raja: We do have access.
73 00:06:59.510 ⇒ 00:07:04.259 Mustafa Raja: And it is on the brainforge at default.com.
74 00:07:04.620 ⇒ 00:07:05.919 Mustafa Raja: the profile.
75 00:07:06.770 ⇒ 00:07:07.799 Awaish Kumar: Okay.
76 00:07:08.250 ⇒ 00:07:11.410 Awaish Kumar: Went for your default.com, okay.
77 00:07:11.940 ⇒ 00:07:16.870 Awaish Kumar: So I… I can’t see that.
78 00:07:18.850 ⇒ 00:07:21.310 Mustafa Raja: Are you looking… looking at OnePass?
79 00:07:21.570 ⇒ 00:07:22.170 Awaish Kumar: Yep.
80 00:07:22.720 ⇒ 00:07:28.910 Mustafa Raja: It’s just Google login, if you log into the Brainforge, our default profile.
81 00:07:28.910 ⇒ 00:07:31.390 Awaish Kumar: Yeah, I see the Gmail… Google account, but I…
82 00:07:31.490 ⇒ 00:07:35.930 Awaish Kumar: I was just looking at URL for Catalyst, but I’ll figure out.
83 00:07:36.440 ⇒ 00:07:41.800 Awaish Kumar: Okay, yeah, this meeting was more about… Discussing the…
84 00:07:42.630 ⇒ 00:07:46.009 Awaish Kumar: Overall scope, this is just one of the tasks.
85 00:07:46.520 ⇒ 00:07:47.340 Mustafa Raja: Yes.
86 00:07:47.440 ⇒ 00:07:52.379 Awaish Kumar: So any… like… Anything else, like…
87 00:07:53.230 ⇒ 00:08:01.089 Mustafa Raja: Yeah, yeah, yeah. So, another thing that, we need to work on that Autumn mentioned yesterday was
88 00:08:01.190 ⇒ 00:08:06.479 Mustafa Raja: We have… we have, multiple vendor analysis.
89 00:08:06.790 ⇒ 00:08:09.439 Mustafa Raja: And we need to, you know, combine them.
90 00:08:09.800 ⇒ 00:08:14.500 Mustafa Raja: Into one, where we are comparing each… each vendor.
91 00:08:15.120 ⇒ 00:08:17.220 Mustafa Raja: And those are data vendors.
92 00:08:17.330 ⇒ 00:08:23.830 Mustafa Raja: So, I’m wondering, When you’ll be free, either today or tomorrow.
93 00:08:24.140 ⇒ 00:08:25.709 Mustafa Raja: We can set up an org.
94 00:08:26.000 ⇒ 00:08:27.860 Mustafa Raja: And work on that.
95 00:08:30.210 ⇒ 00:08:35.540 Awaish Kumar: Basically… oh, okay, yeah, I’m sorry, I… I mean…
96 00:08:35.760 ⇒ 00:08:41.209 Awaish Kumar: That task is separate. We maybe work on that.
97 00:08:41.679 ⇒ 00:08:42.730 Awaish Kumar: Tomorrow?
98 00:08:43.179 ⇒ 00:08:47.179 Awaish Kumar: Maybe, like, find some time on calendar, and we…
99 00:08:47.370 ⇒ 00:08:57.150 Awaish Kumar: Just… well, we can meet tomorrow, anytime, maybe… Or… Yeah, like…
100 00:08:59.380 ⇒ 00:09:08.160 Awaish Kumar: We can do that tomorrow, yeah, but the timing, either you can find it in calendar on the Eastern Time, or if you want to meet.
101 00:09:08.550 ⇒ 00:09:13.400 Awaish Kumar: In the… in the daytime, like, we can also… Maybe.
102 00:09:13.880 ⇒ 00:09:17.780 Awaish Kumar: I can ping you in the daytime, whenever I’m over here.
103 00:09:18.920 ⇒ 00:09:23.349 Mustafa Raja: Yeah, whatever is comfortable for you. I can work with that.
104 00:09:24.780 ⇒ 00:09:31.649 Awaish Kumar: Apart from that, yeah, like, at this more time, like, I just have a lot of…
105 00:09:31.810 ⇒ 00:09:33.510 Awaish Kumar: Meeting sometimes, so…
106 00:09:33.780 ⇒ 00:09:34.939 Mustafa Raja: Yeah, yeah, it makes sense.
107 00:09:35.550 ⇒ 00:09:37.100 Awaish Kumar: And,
108 00:09:37.310 ⇒ 00:09:52.300 Awaish Kumar: right now, I just wanted to ask about this scoping part of it. So, like, this part is one of… it is a reverse ETL, and we are just bringing data from Motherdec to some…
109 00:09:52.530 ⇒ 00:09:56.009 Awaish Kumar: On their some… one of their platforms where they can do some things.
110 00:09:56.410 ⇒ 00:10:00.800 Awaish Kumar: what I’m trying to see is that, like, is there, like… Like…
111 00:10:01.470 ⇒ 00:10:11.770 Awaish Kumar: In the product analytics, or in the marketing work, or, like, is there anywhere else you see the need for an AE?
112 00:10:13.830 ⇒ 00:10:14.590 Mustafa Raja: Oh.
113 00:10:17.370 ⇒ 00:10:19.469 Mustafa Raja: Let me, let me, let me think.
114 00:10:20.810 ⇒ 00:10:22.060 Awaish Kumar: Oh, reason…
115 00:10:26.910 ⇒ 00:10:27.890 Mustafa Raja: Because…
116 00:10:28.500 ⇒ 00:10:30.770 Awaish Kumar: What is their businessDefault.com?
117 00:10:31.540 ⇒ 00:10:32.329 Mustafa Raja: Yeah, yeah, yeah.
118 00:10:35.120 ⇒ 00:10:43.450 Mustafa Raja: Yeah, so we have a work stream for dashboarding, but right now, what it mostly has turned into is maintenance.
119 00:10:44.330 ⇒ 00:10:53.879 Mustafa Raja: I’m thinking… They, they, they, they are, we, we are doing, some, some analyses for them.
120 00:10:56.100 ⇒ 00:11:00.540 Mustafa Raja: Like I mentioned, the data vendor analysis.
121 00:11:00.830 ⇒ 00:11:06.099 Mustafa Raja: That I’ve been doing, and then Amber has been doing some pricing analysis for them.
122 00:11:08.940 ⇒ 00:11:17.349 Awaish Kumar: Yeah, these two have been the workstream so far, and then… Racing analysis, if you have been helping them, like…
123 00:11:17.540 ⇒ 00:11:20.160 Awaish Kumar: Like, what is their business, basically?
124 00:11:21.170 ⇒ 00:11:29.060 Mustafa Raja: Oh, what they, what they actually do is,
125 00:11:29.320 ⇒ 00:11:31.899 Mustafa Raja: They, they, they have worse…
126 00:11:32.070 ⇒ 00:11:47.080 Mustafa Raja: So they have forms, so when, whenever, so if you would open up a website for a business, you would see, either contact us, or demo, or apply for demo, whatever, right?
127 00:11:47.360 ⇒ 00:12:05.489 Mustafa Raja: For some of the businesses. So what the default does is it, generates, a workflow, where it would… where people would fill up the fields, and default would enrich that company, whatever company the, the person came from.
128 00:12:05.680 ⇒ 00:12:10.870 Mustafa Raja: And then, they would… Route that…
129 00:12:10.990 ⇒ 00:12:17.060 Mustafa Raja: Request to, appropriate salesperson for the company.
130 00:12:20.300 ⇒ 00:12:21.220 Awaish Kumar: Okay.
131 00:12:22.310 ⇒ 00:12:23.060 Mustafa Raja: Yeah.
132 00:12:23.530 ⇒ 00:12:25.459 Awaish Kumar: We are also using default.
133 00:12:25.460 ⇒ 00:12:26.779 Mustafa Raja: In our website.
134 00:12:28.020 ⇒ 00:12:31.450 Awaish Kumar: Okay, so, you know, for example, anyone who visits the website.
135 00:12:31.970 ⇒ 00:12:39.440 Awaish Kumar: Basically, default will try to figure out what company he belongs to, and get the information, like contact details.
136 00:12:39.690 ⇒ 00:12:44.190 Awaish Kumar: And, send this data to someone in Brainforge?
137 00:12:44.590 ⇒ 00:12:45.190 Awaish Kumar: Excellent.
138 00:12:45.190 ⇒ 00:12:52.430 Mustafa Raja: No, no, no, yeah, yeah, so for us, so for us, obviously, so for us, now, now that we are using default.
139 00:12:52.600 ⇒ 00:12:58.240 Mustafa Raja: What would happen is if anyone were to, you know, fill up the contact us form.
140 00:12:58.420 ⇒ 00:13:00.240 Mustafa Raja: Default would enrich.
141 00:13:00.460 ⇒ 00:13:08.030 Mustafa Raja: And then routed to the best possible salesperson for that particular company in our… In our company, right?
142 00:13:10.180 ⇒ 00:13:12.539 Awaish Kumar: If we have many salespeople.
143 00:13:12.540 ⇒ 00:13:18.259 Mustafa Raja: Yeah, yeah, yeah, yeah. Yeah, if you have many salesperson, then the resting would make sense.
144 00:13:18.260 ⇒ 00:13:21.320 Awaish Kumar: It will just need to assign to someone, okay.
145 00:13:24.650 ⇒ 00:13:27.650 Mustafa Raja: And, that’s…
146 00:13:30.190 ⇒ 00:13:37.839 Mustafa Raja: They may have more services, but this is the one that I am familiar of, and this is the… I think this is their main… main product.
147 00:13:38.890 ⇒ 00:13:40.589 Mustafa Raja: The form routing stuff.
148 00:13:45.200 ⇒ 00:13:46.010 Awaish Kumar: Okay.
149 00:13:49.640 ⇒ 00:13:50.350 Uttam Kumaran: Hey, guys.
150 00:13:50.830 ⇒ 00:13:51.460 Awaish Kumar: Hello.
151 00:13:51.460 ⇒ 00:13:52.080 Mustafa Raja: Hmm.
152 00:13:53.000 ⇒ 00:13:54.030 Uttam Kumaran: Ay.
153 00:13:56.240 ⇒ 00:14:00.180 Uttam Kumaran: So yeah, I was kind of hoping that maybe you guys can take on,
154 00:14:00.630 ⇒ 00:14:05.339 Uttam Kumaran: you know, this call with Thomas to talk about how we want to do that. I mean.
155 00:14:05.450 ⇒ 00:14:08.540 Uttam Kumaran: Yeah, they have a couple options, so…
156 00:14:10.070 ⇒ 00:14:13.359 Uttam Kumaran: Yeah, I don’t know, Mustaf, have you already briefed,
157 00:14:13.700 ⇒ 00:14:16.080 Uttam Kumaran: Away from, like, kind of, like, yeah, okay.
158 00:14:17.290 ⇒ 00:14:20.189 Awaish Kumar: So, like, we… like, we want to…
159 00:14:20.320 ⇒ 00:14:26.690 Awaish Kumar: just keep ourselves on… on the… putting data from Motherdeck to S3, or do we wanna…
160 00:14:26.920 ⇒ 00:14:29.269 Awaish Kumar: also on the S32 Catalyst part.
161 00:14:30.270 ⇒ 00:14:35.940 Uttam Kumaran: They’re gonna own the S3 to Catalyst, we’re gonna own the Mother Duck to S3.
162 00:14:36.660 ⇒ 00:14:37.400 Awaish Kumar: Okay.
163 00:14:38.840 ⇒ 00:14:39.590 Uttam Kumaran: Yeah.
164 00:14:40.230 ⇒ 00:14:45.659 Uttam Kumaran: So if you guys can talk both about… so the Supabase to S3 is, like, moving product data.
165 00:14:46.800 ⇒ 00:14:48.920 Uttam Kumaran: It’s the ETL for the product data.
166 00:14:49.160 ⇒ 00:14:52.820 Uttam Kumaran: And then our piece is to talk about how do we move
167 00:14:53.720 ⇒ 00:14:58.630 Uttam Kumaran: like, how to help with that, and then also, like, I want to make sure that they’re comfortable with owning the
168 00:14:58.740 ⇒ 00:15:00.960 Uttam Kumaran: S3, the catalyst integration.
169 00:15:01.680 ⇒ 00:15:02.620 Mustafa Raja: Hmm.
170 00:15:06.260 ⇒ 00:15:14.120 Awaish Kumar: Yeah, I just got briefed about MotherDuck to S3, and then S3 to Catalyst, and what is that we want to move from Superbase to Mother Duck?
171 00:15:16.470 ⇒ 00:15:18.120 Uttam Kumaran: It’s the default product data.
172 00:15:19.860 ⇒ 00:15:23.339 Awaish Kumar: Okay, so they have the product data in Superbase.
173 00:15:23.800 ⇒ 00:15:24.790 Uttam Kumaran: Yes, correct.
174 00:15:29.010 ⇒ 00:15:30.149 Awaish Kumar: Hmm, alrighty.
175 00:15:31.650 ⇒ 00:15:36.889 Awaish Kumar: Okay, yeah, we can discuss that in the next meeting, which is just after 15 minutes.
176 00:15:37.050 ⇒ 00:15:38.580 Awaish Kumar: I mean, Thomas.
177 00:15:39.590 ⇒ 00:15:41.939 Uttam Kumaran: Yeah, did you guys end up, booking that? I didn’t end up…
178 00:15:42.440 ⇒ 00:15:44.390 Awaish Kumar: I booked it, it’s in 15 minutes.
179 00:15:44.390 ⇒ 00:15:45.140 Uttam Kumaran: Okay, cool.
180 00:15:48.660 ⇒ 00:15:53.249 Awaish Kumar: And yeah, for this meeting, I don’t know, like, you said in the standoff that we wanna…
181 00:15:53.410 ⇒ 00:15:56.460 Awaish Kumar: Define some scope for AE work for default.
182 00:15:58.860 ⇒ 00:16:01.270 Uttam Kumaran: Yeah.
183 00:16:02.460 ⇒ 00:16:05.989 Uttam Kumaran: I guess there’s a couple things. One is, like, we need to do an omni…
184 00:16:06.750 ⇒ 00:16:08.589 Uttam Kumaran: We need to do an Omni training.
185 00:16:10.720 ⇒ 00:16:18.360 Uttam Kumaran: The second thing I would love to share with Awaesh Mustafa is, like, if you don’t mind sharing the work we did on the vendor evaluation?
186 00:16:20.640 ⇒ 00:16:21.260 Mustafa Raja: Yep.
187 00:16:22.950 ⇒ 00:16:24.240 Uttam Kumaran: That would be helpful, too.
188 00:16:44.750 ⇒ 00:16:52.240 Mustafa Raja: So we may, so default want to integrate, for some context, Default wants to integrate some of these data vendors.
189 00:16:52.330 ⇒ 00:17:06.590 Mustafa Raja: to, fetch data about companies, right? And we… we developed this scoring model, with some baseline requirements that ha- that the, vendor must have.
190 00:17:06.630 ⇒ 00:17:12.359 Mustafa Raja: Employee count, headquarter location, industry, and funding rounds. Funding grounds are optional.
191 00:17:12.500 ⇒ 00:17:27.500 Mustafa Raja: And we should also, mention any unique, signals that, that particular vendor would provide. So, accuracy… for data accuracy and coverage, it’s going to be 50%.
192 00:17:27.670 ⇒ 00:17:33.890 Mustafa Raja: And customer segment fit. So, let me also…
193 00:17:34.200 ⇒ 00:17:36.889 Mustafa Raja: Include how we are dividing segments.
194 00:17:38.350 ⇒ 00:17:50.759 Mustafa Raja: Okay, I’ll do this later. So for data accuracy and coverage, it’s 50%. For segment fit, it’s 25, and then, the uniqueness would be just 10%.
195 00:17:50.940 ⇒ 00:18:03.259 Mustafa Raja: So based on that, we have, analyzed about, 4 vendors, Owler, then People Data Labs.
196 00:18:03.670 ⇒ 00:18:10.400 Mustafa Raja: And then… the swarm and then Captain Data, let me… Open up our now.
197 00:18:12.800 ⇒ 00:18:14.629 Mustafa Raja: Okay, so… so this is…
198 00:18:14.810 ⇒ 00:18:23.520 Mustafa Raja: This is, this is… these are the scores for accuracy and coverage. Outlitter’s pretty good for segments also.
199 00:18:27.570 ⇒ 00:18:29.010 Uttam Kumaran: So.
200 00:18:30.350 ⇒ 00:18:34.370 Mustafa Raja: So yeah, this is… this is our data set. Let me also show you the dataset.
201 00:18:34.740 ⇒ 00:18:35.530 Mustafa Raja: Sweet.
202 00:18:55.260 ⇒ 00:19:07.930 Mustafa Raja: Obviously, this is the dataset, and we have 135 enterprise companies, and then 131 mid-market companies, then small businesses, and then startups.
203 00:19:07.960 ⇒ 00:19:20.290 Mustafa Raja: And, how we structured it this way, how we structured our data, data set this way is, this, these are the same percentages, 37, 36, 15, and 10.
204 00:19:20.290 ⇒ 00:19:28.540 Mustafa Raja: The, the default customers are spread into, these, these fractions.
205 00:19:28.700 ⇒ 00:19:32.459 Mustafa Raja: So that is why our dataset is also spread into this.
206 00:19:32.770 ⇒ 00:19:47.670 Mustafa Raja: And then, and then, yeah, this is just, we, we, we then, went ahead in Clay, imported all of these, and based on the… what’s it called?
207 00:19:47.670 ⇒ 00:20:05.460 Mustafa Raja: the domain, we, we called the APIs, given by Auler to, you know, fetch, fetch this data. Employee count turned out to be, 93%, with 93% coverage.
208 00:20:05.490 ⇒ 00:20:12.830 Mustafa Raja: HQ location had this much coverage, and these would be the accuracies for all of them.
209 00:20:13.020 ⇒ 00:20:19.530 Mustafa Raja: And this is just some other… what’s it called? Analysis.
210 00:20:20.680 ⇒ 00:20:32.000 Mustafa Raja: And then, we are saying, if we have tolerance for, what’s it called, the…
211 00:20:32.120 ⇒ 00:20:47.829 Mustafa Raja: tolerance for the employee count. So, whether the employee count is within plus-minus 10%, or 10 to 25%, and if it’s more than 25%,
212 00:20:47.930 ⇒ 00:21:06.610 Mustafa Raja: off, then we consider it very poor. And that is… this is how it performs. Most of the employee count is within, plus-minus 10% range for Aulia, so it does pretty good in terms of that.
213 00:21:06.810 ⇒ 00:21:09.709 Mustafa Raja: And yeah, this is…
214 00:21:09.840 ⇒ 00:21:20.249 Mustafa Raja: This, this is just to show, if, our lawyer is overestimating or underestimating the employee counts, it does pretty good.
215 00:21:20.690 ⇒ 00:21:25.779 Mustafa Raja: As we can see, with these graphs, So, yeah.
216 00:21:28.500 ⇒ 00:21:38.689 Mustafa Raja: Yeah, the rest is… Just explaining this sort of stuff, by, I think…
217 00:21:39.000 ⇒ 00:21:43.880 Mustafa Raja: They should be by segment analysis also. Yeah.
218 00:21:44.000 ⇒ 00:21:47.569 Mustafa Raja: So, with Enterprise, we are getting this score.
219 00:21:47.720 ⇒ 00:21:51.299 Mustafa Raja: For mid-market, we are getting this much score for…
220 00:21:51.470 ⇒ 00:21:57.940 Mustafa Raja: For small businesses, we are getting this much, and then for startups, we are getting this much.
221 00:21:58.090 ⇒ 00:22:01.140 Mustafa Raja: And that is pretty much it.
222 00:22:01.140 ⇒ 00:22:06.740 Uttam Kumaran: And we have done this for… Sorry.
223 00:22:09.190 ⇒ 00:22:21.210 Mustafa Raja: We have done this for PDL, for the swarm, and for Captain data, and we want to… and what we want to do is… is we want to have a comparative document that compares all of the
224 00:22:21.520 ⇒ 00:22:25.579 Mustafa Raja: Vendors to then,
225 00:22:25.770 ⇒ 00:22:30.589 Mustafa Raja: tell us how, how… which one, which one should we opt for? Just that.
226 00:22:30.890 ⇒ 00:22:36.450 Awaish Kumar: Yeah, we have a scoring model, and we have assessment for four different vendors. We just want to…
227 00:22:36.640 ⇒ 00:22:40.440 Awaish Kumar: Visualize it in a way that is easy to understand.
228 00:22:40.950 ⇒ 00:22:44.980 Mustafa Raja: Yeah, yeah, yeah, we also have… Fields…
229 00:22:45.390 ⇒ 00:22:49.469 Mustafa Raja: For each of these, or what fields do they provide?
230 00:22:50.320 ⇒ 00:22:57.019 Mustafa Raja: what fields do the APIs provide, so we can also see, what sort of uniqueness do they provide, you know?
231 00:22:58.610 ⇒ 00:22:59.270 Mustafa Raja: Yeah.
232 00:23:01.680 ⇒ 00:23:05.029 Mustafa Raja: Yeah, so we can set up a meeting, and then go through this.
233 00:23:05.030 ⇒ 00:23:07.220 Awaish Kumar: We’ll cover it tomorrow, I think.
234 00:23:07.580 ⇒ 00:23:08.260 Mustafa Raja: Yeah.
235 00:23:10.430 ⇒ 00:23:11.210 Mustafa Raja: Yep.
236 00:23:17.400 ⇒ 00:23:32.889 Uttam Kumaran: Yeah, I guess that’s… that’s kind of it. So there’s one workstream that’s around this. I think there’s also, like, small dashboard and modeling changes. I’d like… I guess, Awash, I’d like to consider looping one other person in from my team… from our team. Amber has been helping on the analysis piece.
237 00:23:34.390 ⇒ 00:23:37.850 Uttam Kumaran: But I think it’s gonna be helpful to have one more person on our team to cover.
238 00:23:40.880 ⇒ 00:23:41.800 Awaish Kumar: Yeah.
239 00:23:42.280 ⇒ 00:23:53.589 Awaish Kumar: Yeah, like… like, Mustafa was, like, telling me before that the data we are going to send to S3 for Catalyst, that also needs to be transformed, so we need some…
240 00:23:53.590 ⇒ 00:23:54.130 Uttam Kumaran: S.
241 00:23:54.130 ⇒ 00:23:55.520 Awaish Kumar: CBD or something.
242 00:23:56.060 ⇒ 00:23:57.100 Awaish Kumar: in place.
243 00:23:57.100 ⇒ 00:23:57.860 Uttam Kumaran: Correct.
244 00:23:58.320 ⇒ 00:23:58.900 Awaish Kumar: Yep.
245 00:24:14.520 ⇒ 00:24:17.449 Uttam Kumaran: Okay, like, we… I almost forgot…
246 00:24:17.450 ⇒ 00:24:19.270 Awaish Kumar: We are going to meet tomorrow again.
247 00:24:19.540 ⇒ 00:24:21.690 Awaish Kumar: On this… Okay.
248 00:24:22.680 ⇒ 00:24:29.190 Awaish Kumar: on this competitive analysis, and then also maybe we can discuss a little bit about AE needs.
249 00:24:29.330 ⇒ 00:24:32.719 Awaish Kumar: Come up with, some Notion Dog.
250 00:24:33.630 ⇒ 00:24:34.120 Uttam Kumaran: Okay.
251 00:24:34.120 ⇒ 00:24:37.220 Awaish Kumar: Then you can review and give you feedback.
252 00:24:37.960 ⇒ 00:24:38.610 Uttam Kumaran: Okay.
253 00:24:38.850 ⇒ 00:24:39.500 Awaish Kumar: Okay.
254 00:24:41.550 ⇒ 00:24:42.080 Mustafa Raja: Okay.
255 00:24:42.080 ⇒ 00:24:46.709 Uttam Kumaran: So then, is the master doc ready? Are you gonna… you gonna send that over, Mustafa?
256 00:24:47.810 ⇒ 00:24:49.609 Mustafa Raja: Wait, let me show you.
257 00:24:50.480 ⇒ 00:24:54.050 Mustafa Raja: So… It’s… it’s exists right now.
258 00:24:55.190 ⇒ 00:25:00.940 Mustafa Raja: Okay, so you’re gonna have… This is… this is for the… Yeah, yeah, yeah.
259 00:25:02.990 ⇒ 00:25:03.770 Uttam Kumaran: Okay, cool.
260 00:25:05.620 ⇒ 00:25:06.190 Uttam Kumaran: You’re having.
261 00:25:06.190 ⇒ 00:25:06.830 Mustafa Raja: So, so…
262 00:25:07.350 ⇒ 00:25:08.169 Uttam Kumaran: Yeah, go ahead.
263 00:25:08.340 ⇒ 00:25:10.910 Mustafa Raja: So what the masterdoc should have is…
264 00:25:11.070 ⇒ 00:25:13.450 Mustafa Raja: What unique views each of these provide, right?
265 00:25:16.380 ⇒ 00:25:19.679 Uttam Kumaran: Basically, it should almost be like a union of all of them.
266 00:25:20.540 ⇒ 00:25:21.770 Uttam Kumaran: So, but you’ll…
267 00:25:21.770 ⇒ 00:25:22.380 Mustafa Raja: sprinkles.
268 00:25:22.380 ⇒ 00:25:26.290 Uttam Kumaran: Common fields, right? There’s, like, the name of the field, description…
269 00:25:26.440 ⇒ 00:25:29.679 Uttam Kumaran: So, like, whatever the common fields are, we just want to merge it into one.
270 00:25:32.940 ⇒ 00:25:33.640 Mustafa Raja: Okay.
271 00:25:33.950 ⇒ 00:25:38.929 Mustafa Raja: And then, there would be a column for provider. No, no, that doesn’t make sense.
272 00:25:40.750 ⇒ 00:25:42.309 Uttam Kumaran: Vendor is the provider.
273 00:25:43.200 ⇒ 00:25:44.329 Mustafa Raja: Yeah, yeah, yeah.
274 00:25:45.490 ⇒ 00:25:48.499 Mustafa Raja: Yeah, let me come up with a version, and then we’ll see.
275 00:25:49.140 ⇒ 00:25:49.870 Uttam Kumaran: Okay.
276 00:25:53.560 ⇒ 00:25:58.890 Awaish Kumar: Okay, then just… let’s hop on in 5 minutes in the next meeting with Thomas.
277 00:25:59.460 ⇒ 00:26:00.160 Mustafa Raja: Yep.
278 00:26:00.520 ⇒ 00:26:01.429 Mustafa Raja: Thank you.
279 00:26:01.910 ⇒ 00:26:03.689 Awaish Kumar: Okay, thank you. Bye.
280 00:26:03.690 ⇒ 00:26:05.870 Uttam Kumaran: Okay, thanks guys. Bye.
281 00:26:06.130 ⇒ 00:26:06.760 Mustafa Raja: Bye.