ASIA BANKING
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Risk-based adaptive biometric and behavioral profiling: to securely identify customers, authenticate access, and validate transactions in real-time
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Financial crime artificial intelligence: to prevent fraud by detecting and resolving issues in real-time Identity-based micro-segmentation techniques and encryption: to mitigate cyberattacks from outside or within the banking institution by rendering devices, data, and end users undetectable on networks
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In product design, insights can pinpoint most-relevant products and services at unprecedented scale and speed
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In customer service, analytical models connect customer responses and call center activity to improve processes and customer satisfaction levels
3. Advanced analytics to drive enterprise efficiency
As the banking sector navigates through this period of unprecedented disruption and transformation, banks have the opportunity to reinvent themselves. This reinvention has the potential to go beyond digital transformation to business transformation – adding value across the organisation.
Advanced analytics are a must for banks today. By delivering actionable insights, advanced analytics can improve operational and sales efficiency, and realize cost reductions across multiple functions. For example:
For every bank, finding the right digital transformation solution to integrate into tomorrow’s digital banking ecosystem, with customer experience as a cornerstone for development, can be the key to tomorrow’s success.
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In marketing, analytics can boost campaign performance by using historic data to identify target customers, revealing high impact messaging and relevant solutions
Eric Crabtree Global Head of Financial Services Unisys
Issue 8 | 91