World-Class Training for Data & AI Leaders
Data Management Masterclass 2025
A Step by Step Approach for Data Product Success
19. February 2025, 9am-5pm CET
Language: English
Location: Meet Mitte Berlin, Chausseestraße 86, 10115 Berlin // Hybrid Experience (with a dedicated trainer directly taking care of small online group)
WHY YOU COULD JOIN THIS MASTERCLASS
Sounds familiar?
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Your data products do not deliver business impact.
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Your stakeholders do not stop complaining.
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Several times to establish data governance failed.
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Finding and understanding data is a game of luck.
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Your AI does not fly because of unready data.
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Things magically break because of changes.
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Your data & AI compliance is a bit of a nightmare.
In this Masterclass:
✔ How to make data products valuable
✔ How to make data products managed
✔ How to make data products usable
✔ How to make data products trustworthy
✔ How to make data products compliant
✔ How to make data products supported
Data Management Masterclass 2025
Berlin + Hybrid
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DAYS
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HOURS
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MINS
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SECS
What You'll Gain:
- Finally understand how data governance can actually create impact
- How to make your data products more valuable
- How to make your data products better managed
- How to make your data products trustworthy
- How not to loose all your stakeholders on the way
- Network and understand where data leaders are in their journey
Program 19. February 2024
09.00-09.30 OPENING CEREMONY
12.00-13.30 NETWORKING LUNCH BREAK
16.45-17.00 CLOSING CEREMONY
MORNING WORKSHOP
How to make data products valuable, managed and compliant
- 09.30-10.00 HUMANIZING DATA STRATEGY BY TIANKAI FENG
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10.00-11.00 BRIEFING SESSION BY KINDA EL MAARRY AND ALEXANDER BOREK
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11.00-12.00 GROUP EXERCISE I
AFTERNOON WORKSHOP
How to make data products trustworthy, compliant and supported
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13:00-14:00 FRIDAY AFTERNOON MEASUREMENT BY TOM REDMAN
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14:00-15:00 BRIEFING SESSION BY MAX SCHULTZE AND ALEKSEJS PLOTNIKOVS
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15:00-16:00 GROUP EXERCISE II
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16:00-16:45 DATA LEADERS DISCUSSION PANEL
After This Packed Day, You Will Be Able To:
- Have a more pragmatic approach towards data products
- Understand how to create more strategic impact with data products
- Create a federated data product organization that gets everyone involved
- Leverage existing data technologies better to simplify the work
- Reduce the time to build AI innovation in a smart way
- Focus on reusability and scale while not boiling the ocean
- Create a more positive user experience for your data
WHAT DATA & AI LEADERS SAY ABOUT DATA MASTERCLASS
"Insightful. Everything, all the principles and all the advices we have learned here, will help us to continue in the future."
Viviana Ortiz Ruiz, Director of Data at ParcelLab
"This event was the ultimate investment for my career development and for my success as a data leader."
Jochem van Grondelle, Head of Data Architecture & Data Engineering
"There is a tremendous pace in the AI space and you get easily confused, and everyone's looking at you to give orientation."
Dr. Florian Leser, Head of Data Analytics & AI at KKH
"It was amazing. Looking forward to be part of this event in the future! Great initiative to try and speed up data adoption in Europe."
Rob Roemers, Head of Data & Analytics at STIB-MIVB
"Transformational"
"Fantastic"
"Exceeded Expectations"
"Amazing people, great content!"
"It was super organized and properly tailored to capture organisational needs"
"I feel more confident in how I plan my next career steps"
"Super high-class, well-prepared event."
"Great networking & participants."
"Very informative with application practices in my organization"
"Great organisation, people, passion, topics covered"
"Very nice atmosphere, I had a great time and learned a lot."
"Great quality and size!"
"I will clear send other colleagues to experience this and leverage themselves."
"Great event with great subjects and experts."
"I specially enjoyed the size of the group and the breakout sessions."
"Amazing selection of speakers and participants, great topics and good mixture of formats."
"This was extremely inspiring and I got a lot of ideas I will implement at work."
