Discover how we helped a leading Indonesin Bank by providing Data Quality Services.
Customer
Customer of a leading Indonesian Bank.
Use Case
Identifying the Unique Customer Reference from multiple sources for Regulatory and MIS purposes.
Business Challenge
- Automate multiple source data processing using a single platform.
- Ability to process the data conversion accurately during the 2011 migration.
- Managing future data processing in a robust and faster way.
Project Requirements
- Create process to validate existing KTP or NPWP.
- Robust validation on information i.e., Province, City, DOB, Gender, etc.
- Assessing the quality of data captured in individual attributes i.e., Name, address, gender, DOB, POB, marital status, NPWP, Driver's license and Passport.
- Knowing the trust index score for the data conversion during the 2011 migration.
Solution Highlights
- Created an automated process to integrate the data collected from multiple sources.
- Managing the Data Quality requirements for the selected attributes in Data Asset through the standard validation rules.
- Build an audit and logging functionalities.
- Assessing the quality of data by generating the trust index score and the reports.
- Architecture to support feeding the single CIF back into the source system, so that further transactions can be initiated without any confusion.
- Secondary checks with other Government databases like PEFINDO.
- Periodic review of KYC for customers based on Risk categorization of the customer (High , Medium, Low) – 6 months, 12 months and 24 months once, through internet banking/mobile banking, mailers.
AMURTA Value
- Supported in Identifying the unique and robust Customer Reference from multiple sources.
- Reduced the time taken to view the complete customer view with a compilation of multiple source data.
Results
- Key metric information was provided in near real-time to business executives.
- Related Dashboard and reports updated in Data Governance Metrics.
- Over 90% improvement in Data Quality.
- Improved business resource optimization.
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