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The integration of multiple data systems to build data driven architecture, implementation of AI, machine learning (ML) based advanced analytics on integrated data, the breaking down of operational and data silos to enable agility and efficiency, and the complexity of data compliance and governance. The following key points were discussed:
  • There should be systematic approach in consolidating data as a key asset to improve business operations
  • Integrated data architecture is the key enabler of data science and advanced data driven analysis
  • There should be a clear understanding of how data is going to be operationalised in order to have the desired business outcome
  • Cloud offers efficiency in terms of cost and processing capacity
  • Data governance should be maturing and interlinked with how it is applied in the organisation
  • Data intelligence, analytics and ML can be applied in the governance process a lot more effectively
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