Session Managers: Daiye Zheng, SLB; Hadi Hamzah, PETRONAS; Ilhan Akbar, Halliburton

Digital transformation is a cornerstone for organisational growth in the Asia-Pacific region (APAC). Unlocking the true potential of this transformation hinges on robust data management practices which delves into three critical aspects of data management – data structure, architecture, and governance – and explores how these elements pose unique challenges for APAC organisations. The vast and diverse nature of data in APAC presents a significant challenge. Legacy systems, siloed data storage, and inconsistent data formats create roadblocks for seamless data integration and analysis. Organisations still struggle to establish a standardised approach to data structure, hindering the ability to extract meaningful insights. Selecting the right data architecture – a centralised data warehouse, a decentralised data lake, or a hybrid approach – is crucial for efficient data management in APAC. Organisations must consider factors like data volume, regulatory compliance needs, and scalability requirements when designing their data architecture. APAC's dynamic regulatory landscape further complicates this decision, making it essential to choose an architecture that can adapt to evolving regulations. Effective data governance ensures the accuracy, security, and accessibility of data. However, establishing clear ownership, access controls, and data quality standards proves challenging in many APAC organisations. Limited data literacy among employees and a lack of centralised data governance frameworks can lead to data misuse, privacy breaches, and unreliable decision-making. Abstract submitted should cover topics of overcoming these data management challenges is critical for successful digitalisation in APAC and potentially sharing on implementation of a data-centric strategy with well-defined structures, architectures, and governance practices, organisations can unlock the true power of their data and fuel sustainable growth in the digital age.