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Accenture Conversational AI

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Enhancing Data Products with Accenture Conversational AI - Interview with Sebastian Herold, Zalando SE

Sebastian Herold's Role at Zalando SE

Sebastian Herold is a Senior Principal Engineer at Zalando, Europe's largest fashion platform. He drives the evolution of Zalando’s data landscape, ensuring efficiency, scalability, and security. Sebastian collaborates closely with users, product teams, and vendors to democratize data access while maintaining security and compliance.

Transitioning to Data as a Product

Sebastian emphasizes the importance of treating data as a product to facilitate seamless integration and democratize access. He discusses the challenges of formulating a data strategy and ongoing efforts to refine the platform for internal users. Standardized governance and metadata exchange play a crucial role in enhancing data services and products.

Key Principles of Building a Modern Data Platform

According to Sebastian, handling data in a trustworthy manner, democratizing data access, treating data as a product, and adopting a platform approach are key principles for building a modern data platform. These principles support shifting business models and optimize workforce operations.

Challenges and Transformation of Zalando's Data Landscape

Sebastian highlights challenges such as gaining upper management support and educating platform users. Transforming the data landscape into a data mesh of data products involved defining the right SLOs, encouraging user ownership, and framing data problems from a business perspective.

Balancing Efficiency, Scalability, and Security

Efficiency, scalability, and security are core challenges in modern data platforms. Zalando's data mesh strikes a balance by leveraging hyperscalers for scalability while focusing on lean data access management for efficiency and regulatory compliance. Automated federated governance and self-service platforms aid in achieving a sustainable equilibrium.

Future of Data Products and Emerging Trends

Sebastian predicts a shift towards data product platforms with data products as primary entities. Standardization in metadata exchange and governance will play a pivotal role in enabling seamless integration and enhanced data services. Emerging technologies and trends will drive the evolution of data products in the coming years.

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