How companies are overcoming the challenges of decentralized data management | Series: Spotlight

In this episode of "Spotlight," Philip Moston, Principal Consultant for Data and Analytics at Dataciders in Dortmund, provides an overview of the current challenges and developments in the field of data management.

Important topics addressed by Philip:

• Challenges in data management: Inadequate data governance, security issues, data quality, and the integration of distributed data sources.
• Assumption of responsibility: Specialist departments are increasingly taking responsibility for their own data and data products.
• Regulatory requirements: The influence of the European AI Act on the origin and responsibility of data.
• Data quality in AI: To use artificial intelligence effectively, it is crucial to provide high-quality data.
• Trends in data architecture: The trend is moving toward decentralized data management, with IT playing a central role in providing suitable data platforms.

Philip also explains how Datacider supports companies in developing and implementing concepts such as data fabric, data mesh, and data governance. He shares a practical example of how a clothing company successfully transitioned from a traditional ERP system to a flexible, microservice-based architecture.