Case Study
| Client | RCE Sdn Berhad |
| Product | Loan Management Solution on CUBOT |
| Categories | Retail banking , Loan Management |
| Data Sources | ICBA (Core Banking), Accpac (Financials), Sola (Repayment Data) and Excel Spreadsheets |
| Metrics of Focus | Sales performance, Customer Service Performance, Collections and Credit Processing Efficiency |
| Time to Deliver | Approximately 3 Months |
RCE Berhad is a major non-financial institution player in the credit cooperative market. It is part of the Amcorp group; an investment holding company in Malaysia with a major focus in the financial services market.
The nature of RCE’s operations involve financial lending to government employees in Malaysia. Employees then repay loans through deductions from their payroll. This model consists of fairly secure loans and a low default (NPA) rate. It reaches out to prospects through sales agents across Malaysia.
Loan management for RCE was facilitated by gathering data from multiple sources from its operational units, processing data, integrating information into a unified data warehouse, and creating metrics that are useful for business users. This consolidated view was injected into CUBOT front-end for analytics and reporting for business users.
By using data more effectively, customer service can be improved through more efficient operations that make the loan application process smoother by faster transfer to credit processing officers, and faster disbursement of loans once approved.
Through the use of service level information such as feedback and email/chat transcripts – a bank can ideally reach an even higher level of service quality.
Data on approved vs rejected loans, predictive indicators for successful applicants, and other inputs can lead to faster credit processing operations – which can encourage the applicant to make the decision and go for the loan. It also means officers are more productive through the use of more meaningful information to assess loan risks.
Information on applicants can led to better insights where loan applications were coming from, which locations had better approvals, and therefore where good sales prospects could be targetted. Targeting means greater efficiency of sales teams and results directly in revenue growth as well.
Loan collections teams were able to understand workflow information to follow up on arrears and late payments. Dues could be categorized to prioritize workflow and also ensures that the information is accurate and up to date as data has been refreshed and is therefore the current status.
Challenges |
Solutions |
Product Module |
|---|---|---|
| Enormous learning effort to design and implement data reporting and analytics | Pre-Built Loan Management Solution | Vizualytics Solutions |
| Incorrect Data, Inconsistent Data | ETL, Automated Calculations, Data Integration | CUBOT Designer |
| Insufficient data security and privacy controls | Role-based access and data logging | CUBOT Security Matrix |
| Tools too difficult to Use | Analyze, Slice and Dice Data, Understand Information in a few Clicks | CUBOT Analyze |
| Data not available in time | Scheduled data processing & calculations that are nearly real-time | CUBOT ETL |
| Simple and static reports that have no action orientation | Alerts based on data values, E-mail facility, Text Annotation and Shareability, Data/Report/Dashboard Sharing Facility | CUBOT Dashboard |
CUBOT Loan Management BI has definitely helped with its simple, user-friendly approach. I would say this is a pleasant introduction to the staff using BI for their daily reporting needs