Data Unplugged - The podcast

Data Unplugged - The podcast

By Vincenzo PorpigliaTechnology
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Data Unplugged - The podcast episodes

  • PHOENIX group - Integrated Healthcare Provider journey to become data driven

    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.

    50 min
  • What makes a good leader in Data?!

    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.

    36 min
  • Deichmann vs. Covid - The digitalisation of a German giant

    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?

    1 hr 1 min
  • A request management tool to save Data peoples sanity

    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?

    35 min
  • Kicking off your data journey - Where to start?!

    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

    21 min
  • Vikings, NLP, Chat GPT and voice assistants - a story from an NLP Expert

    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.

    1 hr 9 min
  • Data Unleashed: Harnessing the Potential of Data Products and Data as a Product

    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

    1 hr 5 min
  • Building Data products for 12 different markets

    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. 

     

    1 hr 1 min
  • Empowerment through data: Clarks evolution from an old data stack towards operational analytics

    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

    52 min
  • Self Service Analytics is just a myth. Or is it?! - with Valentin Umbach

    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!

    46 min

About Data Unplugged - The podcast

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In data unplugged, by PL Data, we discuss all things Data, Analytics & AI. From the newest trends to the current challenges the community faces.