The 2024 International Data Maturity Benchmark Industry Report found that when it comes to their Data Architecture and Modelling strategy only 15% of manufacturing and logistics participants have reached the optimised level, with most responses clustering in the intermediate defined and managed levels, suggesting that companies in this sector still need to consolidate their data architecture to enhance efficiency and production management. Panellists will share insights on creating a single source of truth, integrating legacy systems with cutting-edge technologies, and balancing standardization with customization and explore the critical role of data architecture in driving innovation and efficiency. Hear different opinions on the best ways to overcome common challenges and build the architecture that supports your organization's strategic goals.

·       Gain valuable insights into strategies to improve data architecture, enhance decision-making capabilities, and drive business value through effective data management.

·       Understand how integrating legacy systems with modern data platforms to meet evolving expectations can bridge the gap

·       Evaluate the pros and cons of different data architecture models and their suitability for various organizational structures and scales

·       Discover the best way to solve the standardisation dilemma to find the right balance between standardisation and customization in data architecture 

Compare and contrast the efficiency of traditional long-term planning with the more agile, short-term approaches