A. Digital customer data
In retail banking, daily interaction with customers is part of our daily operations. There could be many situations whereby friction with customers occur. Today, many banks uses traditional customer survey methods (e-mails, web forms, SMSes, social media) to collect data on customer's sentiments. However, this approach is highly dependent on customers response on the survey causing lag in data collection response time.
Create a solution to enable HLB to capture customer's sentiments real time to help better understand our customers and respond real time. This solution should enable HLB to gain real time data and to gain immediate insights of any friction with customers. Focus on using a non-invasive survey method to gather customer sentiment and feedback (e.g. via facial recognition, emotion recognition, body language recognition, machine vision, etc) to collect customer sentiment data.
B. Customer Analytics and Insights Generation
Banks have multiple channels to collect customer's sentiments (e-mails, web forms, SMSes, social media). Despite having data on customers feedbacks, it is difficult for banks to process the immense amount of data real time and capture insights real time to react on time. It is also challenging to identify keywords that signals an extremely distressed customers accurately.
Work on a solution to help analyse customers feedback data from multiple channels and generate useful insights to enable the bank to react on time and accurately.
C. One stop finance and investment platform
It is quite common for a customer to have multiple bank accounts (current and savings account, loan, investment and credit card accounts).
Develop an interactive digital ecosystem or API that integrates all of the bank's offerings and services into an interactive one stop platform (includes savings, investments, robo-advisory, insurers, etc) to create a seamless experience for banking customers. This solution should also enable customers to merge all their bank accounts to a single platform to ease the management of their finances.
D. IoT data collection
As we move to becoming a connected society, it is vital for banks to leverage and play a role in the growing connected market. This would enable banks to have better insights into customer behaviours and buying habits.
Develop a solution to enable banks to collect data from IoT devices in financial industries to enable better data analysis to make better financial decisions. The solution must be secured and does not violate any privacy or security breaches.
E. Solving Parking Problems
Banks have multiple branches in commercial areas and shop houses where parking is scarce. This creates a lot of inconveniences for our banking customers to drive to the branches to perform their banking transactions.
Come up with a solution to make it easy and hassle free for our customers to come to our branches.
F. Home buyers financial tool
Buying a property can be a daunting and confusing experience especially for first time home buyers.
Create a platform that can assist home buyers to understand the buying process, perform a financial credit evaluation of their own finances to determine their affordability and match houses to their affordability. The platform should also provide images, videos or public feedback on the property on social media. Buyers should also be able to compare pricing, properties as well as bank loan rates and put in an application on the platform seamlessly.