1 hr 4 min

Carlos Chacon on Data Community, Family, & Messy Data in Legacy CRM Systems Data Driven

    • Technology

In this episode, Frank and Andy speak to Carlos Chacon about data community, family, and messy data in legacy CRM systems.
Transcript
00:00:00 BAILey 
Hello and welcome to data driven, the podcast where we explore the emerging wait a tick. This is the premiere episode of Season Five. Can you believe it? Data driven started four years ago this month. 
00:00:14 BAILey 
Up until last season, we had a human doing the voiceover work. That is until she was replaced by an AI. Yours truly. 
00:00:23 BAILey 
In this episode, Frank and Andy speak to Dave Wensel about why you don't need a datawarehouse. We're starting off the new season with a bit of contrarian tone. 
00:00:33 BAILey 
It's a lively back and forth conversation that runs contrary to prevailing wisdom. Don't say we didn't warn you? Now on with the show. 
00:00:41 Frank 
Hello and welcome to data driven. The podcasts were we wait a minute. We've been saying this Andy for four years now. Can you believe it? 
00:00:48 Andy 
Four years, that's crazy talk. 
00:00:52 Frank 
That's just craziness. So I think when you and I first talked about this and that was that fateful, I think it was December was right after Thanksgiving. But before Christmas, I was thinking about starting a podcast and as a data scientist, I needed someone. 
00:01:01 Andy 
Yeah, yeah. 
00:01:09 Frank 
That was a data engineer that could kind of round out the talent there and and and and obviously I wanted someone I knew, liked, and trust. 
00:01:11 Frank 
Found out. 
00:01:11 Frank 
 
00:01:22 Frank 
And so it was you. 
00:01:25 Andy 
Well, I'm just glad all of the real smart data engineers you knew were busy. That's all I got to say. 
00:01:25 Frank 
Much. 
00:01:30 Frank 
Ah, no man. You were the first one. I reached out to and the only one I would have done it with it. So I was delighted when you said yes because starting a podcast can sound like a daunting thing, particularly if you haven't done it before. 
00:01:44 Andy 
Yeah, neither one of us really had. And gosh, it's it's worked out. What are we up to? 180,000 downloads or something? I mean that's. 
00:01:52 Frank 
Something. 
00:01:53 Frank 
Like that about hundred 8000 downloads. I mean, we're not Joe Rogan, but that's OK, Yep. 
00:01:55 
Yeah. 
00:01:57 Andy 
No. 
00:01:59 Andy 
Yep, Yep. 
00:01:59 Andy 
Yep. 
00:02:01 Frank 
But you know what, we we we've impacted. I think the community in a significant way. We've we've done a number of things we've we've innovative how we podcast. 
00:02:12 Frank 
Uh, we we've actually managed to keep a good cadence with some exceptions. 
00:02:18 Andy 
Yeah, thanks. 
00:02:19 Frank 
You know, we we finally did earlier this year or late last year, kind of fulfill our vision of it being data driven TV when we actually interviewed guests on. 
00:02:27 Andy 
Yes. 
00:02:32 Frank 
On video. 
00:02:33 Frank 
And that was that actually delayed the launch of the show by about three months. 
00:02:38 Andy 
It did but also uhm. Yeah, that was interesting, but you...

In this episode, Frank and Andy speak to Carlos Chacon about data community, family, and messy data in legacy CRM systems.
Transcript
00:00:00 BAILey 
Hello and welcome to data driven, the podcast where we explore the emerging wait a tick. This is the premiere episode of Season Five. Can you believe it? Data driven started four years ago this month. 
00:00:14 BAILey 
Up until last season, we had a human doing the voiceover work. That is until she was replaced by an AI. Yours truly. 
00:00:23 BAILey 
In this episode, Frank and Andy speak to Dave Wensel about why you don't need a datawarehouse. We're starting off the new season with a bit of contrarian tone. 
00:00:33 BAILey 
It's a lively back and forth conversation that runs contrary to prevailing wisdom. Don't say we didn't warn you? Now on with the show. 
00:00:41 Frank 
Hello and welcome to data driven. The podcasts were we wait a minute. We've been saying this Andy for four years now. Can you believe it? 
00:00:48 Andy 
Four years, that's crazy talk. 
00:00:52 Frank 
That's just craziness. So I think when you and I first talked about this and that was that fateful, I think it was December was right after Thanksgiving. But before Christmas, I was thinking about starting a podcast and as a data scientist, I needed someone. 
00:01:01 Andy 
Yeah, yeah. 
00:01:09 Frank 
That was a data engineer that could kind of round out the talent there and and and and obviously I wanted someone I knew, liked, and trust. 
00:01:11 Frank 
Found out. 
00:01:11 Frank 
 
00:01:22 Frank 
And so it was you. 
00:01:25 Andy 
Well, I'm just glad all of the real smart data engineers you knew were busy. That's all I got to say. 
00:01:25 Frank 
Much. 
00:01:30 Frank 
Ah, no man. You were the first one. I reached out to and the only one I would have done it with it. So I was delighted when you said yes because starting a podcast can sound like a daunting thing, particularly if you haven't done it before. 
00:01:44 Andy 
Yeah, neither one of us really had. And gosh, it's it's worked out. What are we up to? 180,000 downloads or something? I mean that's. 
00:01:52 Frank 
Something. 
00:01:53 Frank 
Like that about hundred 8000 downloads. I mean, we're not Joe Rogan, but that's OK, Yep. 
00:01:55 
Yeah. 
00:01:57 Andy 
No. 
00:01:59 Andy 
Yep, Yep. 
00:01:59 Andy 
Yep. 
00:02:01 Frank 
But you know what, we we we've impacted. I think the community in a significant way. We've we've done a number of things we've we've innovative how we podcast. 
00:02:12 Frank 
Uh, we we've actually managed to keep a good cadence with some exceptions. 
00:02:18 Andy 
Yeah, thanks. 
00:02:19 Frank 
You know, we we finally did earlier this year or late last year, kind of fulfill our vision of it being data driven TV when we actually interviewed guests on. 
00:02:27 Andy 
Yes. 
00:02:32 Frank 
On video. 
00:02:33 Frank 
And that was that actually delayed the launch of the show by about three months. 
00:02:38 Andy 
It did but also uhm. Yeah, that was interesting, but you...

1 hr 4 min

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