Category - Data 2030 Summit 2021

Data 2030 Summit 2021

How a Data Pipeline Playbook Helps to Succeed With a Digital Transformation – Lotte Ansgaard Thomsen, Grundfos

Session Outline Many companies have challenged themselves to succeed with digital transformation, which is a new area without best practices, common language and clear measures of success. I will address how we at...

Data 2030 Summit 2021

DataOps – Lean Principles and Lean Practices – Lars Albertsson, Scling

DataOps is the transformation of data processing from a craft with manual processes to an automated data factory. Lean principles, which have proven successful in manufacturing, are equally applicable for data factories...

Data 2030 Summit 2021

How to structure a modern DataOps team – Manuel Brnjic, WALTER GROUP

Data 2030 Summit 2021

The evolution of the data team: Lessons learned from growing a data team from 3 to 20 – Mindy Chen, Hudl

During this talk, Mindy Chen, Director of Decision Science at Hudl will take us on a journey through the challenges and opportunities she has seen when building a data team from scratch. Growing from 3 data engineers to...

Data 2030 Summit 2021

Seven Usecases for your Modern Data Stack – Pietro Casella, EQT

Key Takeaways Learn how to progressively build up your data strategy and become a truly data-centric company. Learn about real-life, production, use-cases for your data stack that go beyond Analytics, and how to combine...

Data 2030 Summit 2021

Are data meshes the next big thing after data lakes? Practical experience from the trenches – Daniel Tidström, Data Edge

Data 2030 Summit 2021

What is an Insight and Data Backbone; Why do we go in this direction? – Henrik Göthberg, Scania

Key Takeaways The challenge of global Scale and serving decentralised system and data landscape is very relevant in the future of ”Data/AI ecosystems’’. How to secure a modularised platform architecture servering, core...

Data 2030 Summit 2021

Implementing Master Data Governance in Large Complex Organisations – Martin Treder, Boehringer Ingelheim

In large organisations, you cannot rely on Master Data to get self-organised. But centralising everything around Master Data may not be the best choice, either. In this session, I would like to share experiences and...

Data 2030 Summit 2021

Data Management as the core foundation to Data Analytics – Yaniv Naor Nahoum, Hugo Boss

In order to have a high accurate level of interaction with customers, Master data management serves as a core foundation enabler to customer data analytics. Data management/governance, forecasting models and...

Data 2030 Summit 2021

Transformation from Passenger to Customer: Tackling Customer Unification Problem in Airlines – Emre Yavuz, Turkish Airlines

Knowing your customers is crucial in every industry to provide better service, personalized offers and experience. Airlines are struggling more than other industries which have subscribed customers. Main objective is to...

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Category - Data 2030 Summit 2021

How a Data Pipeline Playbook Helps to Succeed With a Digital Transformation – Lotte Ansgaard Thomsen, Grundfos

DataOps – Lean Principles and Lean Practices – Lars Albertsson, Scling

How to structure a modern DataOps team – Manuel Brnjic, WALTER GROUP

The evolution of the data team: Lessons learned from growing a data team from 3 to 20 – Mindy Chen, Hudl

Seven Usecases for your Modern Data Stack – Pietro Casella, EQT

Are data meshes the next big thing after data lakes? Practical experience from the trenches – Daniel Tidström, Data Edge

What is an Insight and Data Backbone; Why do we go in this direction? – Henrik Göthberg, Scania

Implementing Master Data Governance in Large Complex Organisations – Martin Treder, Boehringer Ingelheim

Data Management as the core foundation to Data Analytics – Yaniv Naor Nahoum, Hugo Boss

Transformation from Passenger to Customer: Tackling Customer Unification Problem in Airlines – Emre Yavuz, Turkish Airlines

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