Business Analytics & Architecture
Masterclass 2025

 DAY 2- DATA ARCHITECTURE 

Day 2 is all about Data Architecture: how to treat the platform as a product, embed governance by design, and modernize step by step toward an AI-ready foundation.

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Gold Partners

What You Will Learn?

  • How to design a modern data platform as a product that is simple, user-centric, and governance-ready

  • Frameworks for embedding metadata, catalog, and observability practices that build trust and transparency

  • Practical strategies to prioritize pain points and deliver modernization in iterative, business-visible steps

  • Approaches to retiring legacy systems while introducing scalable, future-proof architecture

  • How to integrate operational data into the platform to unlock real-time and AI-driven use cases

  • Best practices for preparing your platform for AI-readiness without falling into vendor hype

  • Pragmatic methods for making architecture and tooling decisions that balance flexibility with standardization

  • Networking and peer learning with senior data leaders, exchanging lessons learned from real-world transformations

Day 2 Workshops

Two deep-dive sessions designed to help data leaders treat the platform as a product, embed governance by design, and modernize step by step toward an AI-ready architecture that scales.

Workshop 1: Platform-as-a-Product

In this workshop, you’ll learn how to treat your data platform as a true product. Together, we’ll explore how to simplify the user experience, bake governance into the platform from the start, and balance flexibility with standardization. You’ll walk away with practical ways to organize your team, define ownership, and create a platform that people actually want to use.

Workshop 2: Modernization in Motion

This workshop is about making modernization real — not overwhelming. You’ll assess where your platform stands today, identify the biggest pain points, and map out the steps that deliver quick, visible wins. We’ll work through how to retire legacy systems, integrate operational data, and prepare your platform for AI — all while keeping vendor choices pragmatic and grounded.

Our Speakers

Meet the Minds Shaping Your Journey

Max Schultze

Director of Engineering at HelloFresh

Aleksejs Plotnikovs

Lead Coach at Data Masterclass

Francesco Mucio

Data Masterclass Coach

Agenda Day 2: Data Architecture

  • 09.00–09.30 Opening Ceremony
  • 09.30-10.00 Keynote
  • 10.00–11.00 SESSION 1: Platform-as-a-Product
  • 11.00–11.15: Audience Questions
  • 11.00-12.15 Group Exercise I
  • 12.15–13.15 LUNCH BREAK
  • AFTERNOON 
  • 13.15-14.15  Briefing with Keynote
  • 14.15-15.15 Session 2: Modernization in Motion

  • 15.15-16.15 Group Exercise II

  • 16.15-17.30 Data Leader Panel and Closing Ceremony

What is this Masterclass for?

This two-day masterclass is designed for professionals shaping the future of data & AI in their organizations. It is ideal for:

✔ Data & AI Leaders 

✔ Data Architects & Engineers 

âś” Analytics Leaders & Managers

âś” Data Analysts & Scientists

✔ IT Leaders & Managers 

Expect engaging discussions, hands-on exercises, and practical frameworks that will equip you to navigate the challenges of analytics and architecture in complex enterprise environments.

👉 Don’t miss this opportunity to elevate your business analytics and data architecture game and connect with Europe’s leading data & AI community.

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What Participants Say

Hear from data & AI leaders who joined the event and shared their experiences, insights, and takeaways.

“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

“Truly inspiring”

“The last 3 days have been intense, insightful and thought provoking. The expertise and passion in the room were truly inspiring.”

~ Saru Malhotra, Team Lead Data & Analytics Strategy at mobile.de

“Ultimate investment”

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

 
 
 
 
 
 

  

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