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CDAO Germany 2025
Presentations


 

  • Unlocking New Revenue Streams: Explore how data partnerships can identify untapped markets and customer segments, driving new business opportunities.
  • Enhancing Decision-Making: Demonstrate how collaborative data analytics improves accuracy and speed in strategic decision-making, leading to better business outcomes.
  • Innovative Solutions and Services: Highlight the development of new products and services through shared data insights, fostering innovation and competitive advantage.

Gareth Farr
Head Of Data Science and AI
Unicredit

 

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Presentation: Turning Data Strategy into Operational Reality: A Journey of Strategic Enablement

A data strategy looks great on paper, but bringing it to life for real business impact? That's where the real challenge begins. This presentation details our company's practical journey in tackling that challenge, establishing and operationalizing our data strategy with real-world experiences, including early failures and key learnings.

We will explore the core components of our approach, focusing on strategic orchestration via program and change management, building a robust data enablement framework, and implementing clear metrics to measure success. You'll learn how we created structures to empower teams alongside central units, hear about our significant wins, gain practical tips for operationalizing data strategy, and get a glimpse into our future plans.

Saru Malhotra
Team Lead Data and Analytics Strategy
Mobile.de

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Presentation: The Real Challenge in Analytics: It’s Not the Technology, It’s the People

  • DA Team Success Factors
  • Competency Development
  • Working with Principles

Marcin Nizinski
Head of IT Audit and Data Analytics in Assurance 
Siemens Energy

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Presentation: AI, Gen-AI, Agentic-AI: From Innovation to Industry Revolution

Dr Andreas Hamprecht
CIO/CDO
Deutsche Bahn

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Presentation: Balancing innovation & governance - infrastructure for data teams in finance

Financial data teams operate in an environment where agility and innovation must align with strict governance and compliance requirements. Establishing the right infrastructure is essential to maximize efficiency while ensuring security and regulatory adherence.

This talk explores how organizations can design governance frameworks that protect data assets without hindering business agility, leverage modern data architectures (data lakes, warehouses, and cloud solutions) to scale effectively, and facilitate seamless transitions from research to production. Insights will be drawn from building a quantitative investment infrastructure from the ground up, addressing key challenges such as high availability, versioning, real-time data access, and compliance.

By examining strategies that balance security with flexibility, this session provides practical takeaways for designing IT-safe, governance-aligned setups. Additionally, the discussion will highlight how collaborative platforms, and structured workflows can enhance efficiency across infrastructure and development processes.

RudiBauer
CEO
Infrafin

HendrikSteinbach
Senior Associate & Lead Data Scientist
neXDos

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Presentation: Profitable AI: How to Ensure AI Investments Drive Business Growth

 

AI investments must serve business goals, not the other way around, to drive growth and competitiveness. Organizations need to directly link their data strategy with business objectives to achieve sustained profitability. The presentation demonstrates how combining strategic alignment with organizational maturity enables AI profitability scaling across companies of any size, whether public or private.

Elizabeth Press
Deputy Chief Digital Officer
Center for Hybrid Electric Systems Cottbus (CHESCO)

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Presentation: Empowering Product Teams with Data: Building a Self-Service Analytics Culture

Self-service analytics can be a game-changer for product teams, helping them move faster and make better decisions without relying on data specialists. Divya Bokaria has done exactly that at ZATTOO, setting up analytics events, tools, and training to put data directly in the hands of product teams. In this session, she’ll share her experiences and key takeaways.

🔹 Turning Data into Action – How she heled built the right setup to help teams make informed, data-driven decisions.
🔹 Breaking Down Barriers – Making data accessible and usable without creating bottlenecks.
🔹 From Insight to Impact – Real examples of how self-service analytics helped product teams iterate faster and drive growth.



Divya Bokaria
Director of Data and Analytics
Zattoo

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