Data Unplugged - The podcast

It was highly enjoyable speaking to Thomas Gengler, the Head of Chapter Reporting & BI Solutions, about PHOENIX group - Integrated Healthcare Provider's journey to become more data driven. I had the pleasure to speak to many data leaders about this topic, and especially about the reasons those initiatives fail. Speaking to Thomas, it was clear, that they developed a strong understanding of how to do it right – even though he was being humble… if you are struggling in your journey to become data driven, you should listen to this episode! You want to know what we discussed in detail? - 00:38 - Introducing Thomas. - 02:04 - Digitalisation and the changes it brought to PHOENIX group – Integrated Healthcare Provider. - 08:24 - Why did the management team decide to push for digitalisation? - 12:04 - Benefits of digitalisation at PHOENIX group – Integrated Healthcare Provider. - 15:58 - Self-service analytics - a myth or a must? - 18:49 - Challenges of settign up self-service analytics. - 26:19 - Training the power users. - 35:16 - Driving the right team mindset that helps it adapt to change. - 36:53 - "Data for the tiger" book. - 45:46 - What would Thomas do different today, if he started his data journey from scratch.

What makes a good leader in Data? What makes a good leader in general? In our 17th episode of #dataunplugged, I had the pleasure to discuss Ellen Königs - currently the Head of Engineering at alcemy - journey from individual contributor to leader and what she thinks makes a good leader. What did we discuss? 👇 - 00:34 - Introducing Ellen. - 01:14 - Starting off in a leadership position. - 04:54 - Challenges faced as a leader. - 07:29 - How dopes one transition into a leadership position? - 11:14 - How to keep your data team motivated? - 16:49 - Disagreements with top management. - 18:44 - Conflict resolutions within the team. - 25:04 - Attracting and retaining talent. - 33:44 - Advice to aspiring leaders.

In this weeks episode, I had the pleasure to discuss everything data with Kevin Haferkamp, Head of Data Intelligence & Analytics, at Deichmann, at their HQ. What did we talk about? 👇 - 00:26 - Introducing Kevin. - 01:23 - How the COVID challenge was tackled. - 04:08 - Modern stack transformation. - 10:38 - The state of Deichmann now. - 14:24 - The biggest achievements to date. - 16:30 - Data Ops! - 18:38 - Utilisng data analytics. - 23:14 - Data Mash. - 36:05 - How was/is data litracy at Deichmann? - 38:31 - How to align stakeholders with your data mission? - 47:06 - Refining the data model. - 51:00 - How to choose the right data model? - 54:19 - What does the near future hold for Deichmann and its data platform?

In episode 15 of #dataunplugged, I had the pleasure to discuss Handelsblatt’s journey to build and release a request management tool, with Ana Moya, Head of Data Science & Analytics. They kicked off their journey with one thing in mind… streamline and prioritize requests for the data team. How did they do? More about the episode below 👇 - 01:26 - Introducing Ana. - 04:36 - What is the request management tool and how did it come about? - 07:06 - Challenges with developing and implementing the new technology. - 09:54 - The process that saves stakeholders time - a deep dive. - 17:11 - How are things automated on the backend? - 22:35 - Benefits of iPaas. - 25:45 - Development expectations vs reality. - 28:07 - What's the plan to get the early adopters. - 31:15 - What does the future look like?

2 part!!! Data unplugged Episode In today’s episode of #dataunplugged I had the pleasure to speak to Michael Hein the co-founder of Datatoolbox. With their help, Handelsblatt, implemented a new process, automating business processes for Data Teams. In this episode we talk about what Datatoolbox does and what is important when starting off working with data. More about the episode 🤘 - 00:34 - Introducing Michael. - 02:43 - Giving the clients tools to drive their marketing "car". - 05:24 - 6 steps of data management. - 10:04 - How to decide which data sources are relevant in a given project. - 15:49 - What happens once data is received, who does the data analysis part? - 18:19 - Data activation. In the next episode, we will deep dive into the request management tool with Ana Moya, Head of Data Science & Analytics at Handelsblatt. #data #analytics

What do vikings have to do with voice assistants and what is the future of voice assistants? In the 13th episode of #dataunplugged, I spoke to Lara Ehrenhofer, an NLP specialist. We discussed everything from how language developed, to how NLP is being used, GPTs hallucinations and also what the future holds for voice assistants. More about the episode below - 00:30 - Introducing Lara. - 07:40 - Vikings, language and NLP. - 14:03 - How can an NLP be used. - 21:30 - What are NLPs and what do they do? - 29:30 - NLPs and demographic bias. - 36:42 - Different types of NLPs. - 39:00 - NLP and language models. - 47:00 - GTP Hallucinations and fact-checking. - 50:00 - Voice assistants becoming real-life assistants? - 54:50 - Challenges. - 01:03:00 - Voice assistant and the future.

In our 12th episode of #dataunplugged I had the pleasure to speak with Alexey Dubrovin, Director Data at CARFAX Europe about data products and data as a product, the journey at Carfax and how to get paid for your data – sometimes not even with money. More details on the episode below - 00:30 - Introducing Alexey and Carfax - 01:09 - The differences between data products and data as a product - 05:20 - Is there a new trend in data? - 06:57 - When building new data products, where do you start? - 11:05 - Challenges Alexey faced when building the data products - 17:15- Trust and quality - 22:34 - Building something the customer wants - 34:25 - Benefits of continuing to improve and build out your data products - 37:35 - Data as a product for Carfax' internal purposes - 43:10 - In hindsight, would you have done anything differently now, when building or selling data as a product? - 45:02 - Difference between building data products for external vs internal purposes - 48:50 - GDPR and selling data - 58:50 - ChatGPT and selling data - 01:01:01 - Monetising a data product without selling it

How do you build multiple products for 12 markets across multiple countries🤷‍♂️ Let Andre tell you that… Andre, from ViiV healthcare, joined me on the #dataunplugged podcast, episode 11, to discuss how he helped ViiV healthcare develop multiple data products, that bring various benefits to the organization. More details about the episode 👇 - 00:19 - Introducing Andre Sharf & ViiV Healthcare - 01:50 - Andre's rare role - 09:40 - Aligning tech people with the goal through communication - 12:51 - The three biggest challenges that ViiV faces - 22:49 - How to make sure products meet the needs - 35:00 - "You can't fail if you learn from it" - 38:31 - How to turn failures to your advantage and learn from them. - 45:15 - Getting people to buy into your data vision and transformation. - 52:50 - Advice for companies who are just starting to build data products.

In our 10th episode of Data unplugged, we are joined by Dani Solà Lagares, the SVP of Data & Analytics at Clark – a digital insurance broker. In this episode we have discussed Clarks data journey, their transition from an old school data stack to a scalable modern data stack and how data & analytics is empowering the organization. More details about the episode below: 00:30 - Introduction to Dani Sola and Clark 02:02 - Early data days at Clark 07:25 - Upscaling your team 10:15 - GDPR Challenges 13:47 - Migration: people and technology 18:37 - Using a third-party SAAS tool vs building your own 21:49 - first step that needed to be done to move towards operational analytics 24:13 - differences between analytics and operational analytics 28:42 - how operational analytics ideas usually happen and how to productionize them 30:13 - areas in which we are using operational analytics 34:08 - having data consistency across systems 43:46 - building things that deliver short-term value while also thinking long term

In our 9th episode of Data unplugged we had the pleasure to speak to Valentin Umbach from komoot, about Self Service Analytics. Is self service analytics just a hype that is being pushed by vendors? Is true self service analytics possible? What even is true self service analytics?! Tune in to find out what Valentin has to say!

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 challenges when building data teams and how to prevent them, as well as how to measure the impact of data work and the importance of data storytelling and visualization. Moving on to „how to provide data as a business“, Viviana explains what this means and how it differs from providing data for a business. We delve into the differences in building data products for internal use versus external use, and the implications for data governance and privacy. We also discuss the benefits of data products, including both monetary and non-monetary benefits. 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 episode of the "Data unplugged" podcast, the focus was on how to get data science projects into production and generate business value – quickly. In this episode, we were joined by Florian Scheibner, the Head of Data Science at NKD Group, one of the largest discount retailers in Europe. The conversation covered a wide range of topics related to data science, including how to find projects worth exploring, defining the scope of a data science project, prioritizing projects based on their potential for business value, collaborating with business stakeholders to ensure alignment with business goals, and testing models before deploying them into production. Florian also shared some common challenges that data science teams may face when deploying models into production, such as ensuring relevance and up-to-date data, and maintaining and updating models over time.

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 platform, exploring what it is, what the modern data stack entails, and the role of data orchestration in making sense of it all. 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.