Data Management in 2030 to 2035: An Outlook on Data Management and Analytics
Data is undeniably the new fuel of the 21st century and Data Management and Analytics functions across every industry are in focus to constant change. Join Michael Bruckner, Head of Data Management & Analytics at Siemens Financial Services, as he takes you on an inspiring journey into the future of data – exploring how Data Management & Analytics might evolve over the next 5 to 10 years and what we could start doing today to cope with changes ahead of us.
Target Audience: Management, Thought Leaders on Data & AI, Data Experts
Prerequisites: general and basic understanding of data management and its concepts
Level: Advanced
Extended Abstract:
The session will start by formulating four fundamental working assumptions that will impact data functions regardless of industries. Focus will be put on (1) investments & costs optimization needs, (2) Data Democratization, Decentralization & the shift towards Data-as-a-product, (3) Time to market requirements and (4) technology (incl. AI) evolvement. During the session, the working assumption will be underpinned with arguments. In the second half of the session, proposals are made what we could start doing today to be prepared in the long run to cope with the new standards.
Head of Data Management & Analytics
Michael has been working in the field of data in different roles and industries for more than a decade now. During this time, he led complex projects at scale, served and developed multiple data teams and supported different companies to get even more data driven.
