Bridging Business and Data Science with Clean Data: Mark Budzinski’s Blueprint for Successful Business Analytics

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Bleav + Anika Jackson

Business, Artificial Intelligence, Management, Marketing, Ai, Entrepreneurship, Marketing Trends, Sales, Entrepreneur, Social Media, Small Business, Public Relations, Communications, Sales Strategy, Podcast, Branding, Business Trends

5 • 1.4K Ratings

🗓️ 4 February 2025

⏱️ 31 minutes

🔗️ Recording | iTunes | RSS

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Summary

As the founder of Clean Data, Mark Budzinski has helped organizations navigate the often complex landscape of data analytics, guiding them toward smarter, more efficient use of their data to drive business outcomes. His work focuses on the intersection of artificial intelligence (AI), data governance, and business strategy, tackling the challenges that businesses face when integrating new technologies and optimizing their data systems. While AI can offer powerful tools, Mark emphasizes that its success hinges on human expertise.

Transcript

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0:00.0	I don't have to posture and pontificate about how me and my five people that work for me
0:04.7	in my department are doing the right thing, and it must be your fault. And I have to run around
0:08.9	and tell other people about, hell, I don't know what's wrong with sales. We're doing our job, right?
0:12.2	So all that classic politic that's in an organization, when you implement a culture like the one I'm
0:17.5	talking about, those politics are abated and in most cases just
0:22.0	eliminated. And then now we can have a meaningful discussion about how to apply that to
0:26.1	analytics. That's where the two come together.
0:29.1	Step into the world of success with your brand amplified, the ultimate podcast designed to
0:34.9	unravel the intricacies of thriving businesses. I'm your host, Onika Jackson,
0:39.7	and I'm on a mission to uncover the stories, strategies, and secrets that have propelled
0:44.7	entrepreneurs and business leaders to success. This is going to be one of my most fun
0:52.4	conversations, at least from my point of view, with Mark Bidsinski, because I love speaking to people who have a data and science, computer science, engineering background, who I think, you know, obviously I'm very interested in AI and technology and data science, but I don't have that background. So I love speaking to people
1:11.2	who know more about it than I do. I can talk about the evolution of how we look at data, how we use
1:18.2	it, how we use it to make decisions these days, and what are some of the considerations that we
1:23.8	need to think about. So, Mark, thank you for being here. Yeah, pleasure. I look forward to
1:29.2	the chat as well, Anika. I'd love to hear a little bit about what got you to today. You have a great
1:36.4	company that, you know, want you to talk about a little bit. I know before we jumped on,
1:41.7	you're like, well, I'll talk a little bit about it. But no, I've had a journey through, really through what used to be called decision support.
1:49.7	Now analytics moving quickly to AI.
1:51.6	But the themes are more or less the same.
1:54.4	So for me personally, I've managed a lot of different operational roles.
1:58.5	I had the good fortune to be CEO of a software company that was able
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