“FIs need to rethink data architecture while addressing data gravity”

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In this RadioFinance session, senior executives from financial institutions (FIs) across Asia-Pacific discussed the challenges brought about by data gravity. As ecosystems expand and data volume increases at an unprecedented pace, FIs are making it a priority to design and build the right data architecture for real-time data streams, faster processing and advanced analytics.

Danny Mu, principal analyst at Forrester, presented the findings of a survey among 162 senior managers across FIs in Asia-Pacific on “the future of data agility in the financial services industry.” The survey revealed that improving the use of data and insights in decision-making is a priority for businesses in the next 12 months over growing revenue.

Chalee Asavathiratham, chief digital banking officer at Siam Commercial Bank (SCB), said it is crucial for FIs to rethink data architecture while addressing challenges brought about by data gravity as banking may become digital by default in as early as five years.

Colin Dinn, chief information technology officer at Vietcombank, and John Howard Medina, chief operating officer at Philippine Bank of Communications (PBCoM), shared efforts made by their institutions to build the right structures for handling expanding data. Vietcombank is building a data factory and is looking into how data can be moved into supply chain structure. PBCom, on the other hand, is setting up a data lake this year to integrate banking, market, and consumer data for decision-making.

Andreas Spanner, chief architect, Australia and New Zealand at Red Hat, shared the benefits of a multi-cloud strategy to handle expanding data, noting that this needs a consistent operating model and central policy. Christopher Tan, director of Global Partner Revenue Acceleration at Intel Technology Asia said that as technology architecture becomes hybrid, FIs must have better understanding of networking, storage, and connection.

The session concluded that banks need to redesign their data structures while strengthening data governance to address the challenges brought about by fast growing data volume. As technology architecture also becomes distributed, banks need to have better understanding of data, people, and processes.

Key discussion points :

  • FIs need to rethink data architecture while addressing challenges brought about by data gravity and integration
  • Multi-cloud strategy brings opportunities for scalable processing of data but brings challenges
  • Embedding advanced data analytics and artificial intelligence (AI) enables banks to exploit data faster

Keywords: Data Gravity, Insights, Banks, Customers, Building, Business, Cloud, Technology, Financial Services, Architecture, Capability, Question, Artificial Intelligence, Digital, Ecosystem, Challenges, View, Supply Chain, Data Governance, Data-driven
Region: Asia Pacific


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