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S3 | Ep 17 | Building a Data Function From Scratch - The Differences Between Big and Small Organisations with Colm O'Grada, Director of Data & Analytics at Tines
In Episode 17 of Season 3, of Driven By Data: The Podcast, Kyle Winterbottom is joined by Colm O'Grada, Director of Data & Analytics at Tines, where they discuss the differences in building a high-impact Data & Analytics capability between a large (Google) and small (Tines) organisations (Tines), which includes;
- The key differences between building teams in big organisations to small teams
- The journey from Google to Tines
- Contrast with ‘adopting’ teams in larger companies
- The pro's and cons of having a much smaller bench
- Being the first data hire in a growing organisation
- Why you need to be more versatile in a smaller company
- The importance of being hyper focussed
- Focusing on breadth versus depth
- Why trends don’t really matter for most companies
- What trends might mean for data workers
- Organisational structure of data teams
- The cynicism around the current tech layoffs
- Why being invited to meetings is a sign of someone who’s doing their job well
- The importance of data in times of uncertainty
- Why all data functions aren’t built equally
- Getting the balance right between generalist V specialist roles
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By Orbition Group
3.9
77 ratings
In Episode 17 of Season 3, of Driven By Data: The Podcast, Kyle Winterbottom is joined by Colm O'Grada, Director of Data & Analytics at Tines, where they discuss the differences in building a high-impact Data & Analytics capability between a large (Google) and small (Tines) organisations (Tines), which includes;
- The key differences between building teams in big organisations to small teams
- The journey from Google to Tines
- Contrast with ‘adopting’ teams in larger companies
- The pro's and cons of having a much smaller bench
- Being the first data hire in a growing organisation
- Why you need to be more versatile in a smaller company
- The importance of being hyper focussed
- Focusing on breadth versus depth
- Why trends don’t really matter for most companies
- What trends might mean for data workers
- Organisational structure of data teams
- The cynicism around the current tech layoffs
- Why being invited to meetings is a sign of someone who’s doing their job well
- The importance of data in times of uncertainty
- Why all data functions aren’t built equally
- Getting the balance right between generalist V specialist roles
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