Implementing Informatica MDM for a Banking Institution (On-Prem)
Introduction
In the modern banking industry, maintaining a single, trusted view of customer data is critical for regulatory compliance, risk management, and personalized customer experiences. This case study outlines the implementation of an Informatica Master Data Management (MDM) on-premises solution for a large banking institution with multiple legacy systems.
Problem Statement
The problem statement highlights the challenges faced by the banking institution due to fragmented customer data across multiple systems, including ERP, CRM, and Core Banking Systems. This led to data redundancy, with multiple records for the same customer, and inconsistent customer data due to different formats and outdated records. The bank also struggled with regulatory compliance, making it difficult to track and audit customer transactions. Integration challenges arose due to the absence of a centralized customer repository, impacting API-driven digital banking initiatives. Lastly, the bank needed a solution capable of handling large-scale data processing, managing 100 million records with a daily ingestion rate of 5 million records.
Solution Overview
To address these challenges, the bank partnered with Zettabolt Technologies, a leader in data management solutions, to implement an on-premises Informatica MDM solution. Zettabolt Technologies provided expertise in Data Analysis, Data Ingestion, Matching and Merging, User Interface Configuration, Publishing and Real-time Services. Zettabolt Technologies implemented Informatica MDM HUB as a centralized Customer Data Platform (CDP) using the following architecture components:
High level Architecture Diagram: Informatica MDM
Image: Informatica MDM Architecture Diagram
Source Systems & Data Extraction
- Data is extracted from ERP, CRM, and Core Banking Systems using ETL pipelines.
- Oracle Database acts as the staging area for extracted customer data.
- Tokenization is applied to protect Personally Identifiable Information (PII).
Image: Informatica MDM Architecture Diagram
Informatica MDM Processing
The Informatica MDM processing workflow involves multiple stages to ensure data accuracy and consistency. Data from various source systems is first stored in the Landing Table (L_CUST) before moving to the Staging Table (C_L_CUST) for transformation. Change Data Capture (CDC) identifies modified records, ensuring efficient updates. Data deduplication is performed using phonetic, fuzzy, and exact matching algorithms, while trust and validation rules help create a "golden record" stored in the Master Table (B_CUST). Lookup tables store reference data for seamless integration.
Data Publishing & Downstream Consumption
For data publishing and downstream consumption, the mastered data is distributed to multiple systems. It is loaded into the Enterprise Data Warehouse (EDW) for analytical insights, exposed via API services for digital banking applications, and transmitted through message queues (JMS/Kafka) for real-time updates. Additionally, batch load processes synchronize bulk data with external applications.
Implementation Phases
The implementation phases included data assessment and profiling, where duplicate records were identified, followed by data integration and transformation using Informatica PowerCenter. The MDM Hub was configured to establish trust frameworks and golden record rules. Data synchronization and API enablement ensured real-time integration through REST/SOAP APIs and message queues. Finally, testing and deployment were conducted, including User Acceptance Testing (UAT) with 10 million records before rolling out in a phased manner across regions.
Results & Business Benefits
Zettabolt's deep expertise in data analytics and cloud solutions ensured a seamless integration of the MDM system with the bank's legacy infrastructure, enhancing data consistency and reliability.
The results and business benefits of implementing Informatica MDM were significant for the banking institution. The project led to a 90% reduction in duplicate customer records, ensuring a more accurate and consistent customer data repository. Regulatory compliance improved, aligning with standards like GDPR and PCI-DSS, while data quality saw a substantial enhancement, providing a 360-degree customer view for better service. Operational costs were reduced by eliminating redundant data storage and processing inefficiencies. Additionally, the bank experienced a faster time-to-market for digital banking services due to seamless API integrations.
Conclusion & Future Roadmap
The conclusion and future roadmap emphasize the transformative impact of Informatica MDM on the bank’s customer data management. The implementation enabled a data-driven decision-making approach, improving efficiency, compliance, and customer engagement. With a centralized and accurate customer data repository, the bank successfully enhanced regulatory compliance, operational efficiency, and digital banking services.
