In the 8th episode of Data unplugged, we have Tim Hiebenthal from Project A, a VC that invests in digital companies and also has their own consulting unit, which adivses those start-ups. Tim talked us through some common mistakes he saw early-stage start-ups make and how to prevent them.

We discussed different topics such as differences between sectors and business models, at what stage you need what data stack, the importance of keeping things simple in the beginning and when it is time to move to a more complex data environment. We also discussed costs, what hires should be the first ones in the data team and more!

In the 7th episode of the Data Unplugged podcast, we discuss the differences between providing data for a business and providing data as a business, with Viviana the Head of Data at parcellab.

We begin by exploring how to provide value through data, to a business, including having the right people, technology, and mindset. We also discuss common

Moving on to „how to provide data as a business“, Viviana explains what this means and how it differs from providing data for a

Viviana also explains the different skill sets needed for teams that focus on providing data for a business versus providing data as a business, and the obstacles faced by software and tech providers looking to enhance the value of their products.

At the end Viviana also shares 3 musts for providing data for the business and providing data as a business.

In our 6th

The conversation covered a wide range of topics related to data

Florian also shared some common challenges that data science teams may face when

Welcome to the 5th episode of "Data Unplugged," the podcast where we explore the world of data and analytics from a practical perspective. In this episode, I am joined by Laurent Dresse, a Data Governance Evangelist and the host of the "Data governance kitchen", to discuss the importance of data governance and how it can be implemented effectively within organizations.

The podcast covered a wide range of topics related to data governance, including the key components of a data governance program, the importance of a data catalogue, aligning data governance with business objectives, defining and enforcing data standards and policies, integrating data governance with other IT and business processes, building a culture of data governance within an organization, measuring the ROI of a data governance program, managing data quality issues, ensuring compliance with regulations such as GDPR and CCPA, ensuring data accessibility for those who need it, challenges you may face and much more.

Overall, this episode offered valuable insights and practical advice for anyone interested in implementing or improving a data governance program in their organization and all that by Mr. "Data governance kitchen" himself!

Welcome to the fourth episode of "Data Unplugged," the podcast where we explore the world of data and analytics from a practical perspective.

In this episode, I am joined by Vinnie Dalpiccol, the founding Data Engineer at Mushlabs. 

In this episode, we delve into the topic of the orchestration of the modern data

We also discuss, why Vinnie chose to go with Dagster rather than a more common tool like Airflow, how to build a pipeline and highlight the benefits of Dagster's flexibility, scalability, and seamless integration with other data stacks and tools.

Welcome to the third episode of "Data Unplugged," the podcast where we explore the world of data and analytics from a practical perspective. In this episode, I am joined by Roman Jendrusch - a Software Developer, turned Data Architect, now helping various organisations setting up their data architecture. 

In this episode we discussed what a good data architecture looks like and why the whole architecture is important, differente architectural patterns, why big data is not a problem anymore, calculating the costs and ROI of your data architecture and much more! 

Welcome to the second episode of "Data Unplugged," the podcast where we explore the world of data and analytics from a practical perspective. In this episode, I am joined by Etoma Egot - Head of Data, BI and AI at AirUp, a rapidly growing StartUp and we're going to focus on the topic of scaling a data team from scratch and providing value quickly.

He will share his insights and experiences on how to build a data team that can rapidly provide value to the business. We'll discuss the initial steps, critical factors that you need to consider when building a data team, such as hiring the right people, the importance of having a clear understanding of the business goals and objectives when building a data team.

In this episode, I am joined by Elizabeth Press, the Co Founder of D3M Labs, a blog and a community for data professionals. 

She will talk us through some best practices around Data Mesh, road maps and important things to look out for and also what is needed to prevent it from turning into a money draining mess.