MDM for banking
Master data management for trusted banking decisions
Banks need trusted customer, account, product, householding and risk data across core banking, digital channels, servicing platforms, compliance systems and analytics platforms. PDI helps build the MDM foundation to reduce duplication, improve governance and support faster, safer decision-making.
Banking data challenges
Where banking master data breaks down
Banking data often spans legacy cores, online banking, risk systems, regulatory reporting, customer service and analytics platforms.
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Fragmented customer identity
Customer records differ across core banking, digital banking, servicing and analytics platforms, making it difficult to create a trusted customer view.
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Householding complexity
Relationships across customers, accounts, businesses and households are hard to maintain without governed matching and survivorship rules.
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Risk and compliance exposure
Incomplete or inconsistent customer, account and product data can affect KYC, AML support, reporting and risk analytics.
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Untrusted analytics
Conflicting customer and product definitions undermine dashboards, segmentation, personalization and executive reporting.
PDI approach
A practical MDM path for banking teams
PDI helps banks assess critical data domains, define match and survivorship logic, implement governance workflows, improve data quality and integrate MDM with downstream analytics and business systems.
Customer 360HouseholdingKYC/AML supportRisk reportingProduct and account master data
Implementation model
From assessment to governed master data
STEP 1
Assess domains
Identify high-value domains such as customer, account, product, party, household and risk attributes.
STEP 2
Profile quality
Measure completeness, duplicates, inconsistency and stewardship gaps across source systems.
STEP 3
Design rules
Define matching, survivorship, hierarchy and governance rules with business and compliance stakeholders.
STEP 4
Operationalize MDM
Implement MDM, data quality, stewardship workflows, integration and reporting patterns.
Proof point
PDI brings enterprise MDM, governance and cloud data experience to regulated environments
PDI works across Informatica MDM, IDMC, CDGC, CDQ, Snowflake, Databricks, AWS, Azure and Google Cloud to help organizations improve data trust and operationalize governance.
FAQ
Common questions
What is master data management in banking?
It is the process of creating trusted and governed master records for key banking domains such as customers, accounts, products, households, risk attributes and reference data.
Which banking use cases benefit from MDM?
Common use cases include Customer 360, householding, onboarding, KYC/AML support, regulatory reporting, risk analytics, personalization and product/account data consistency.
Does MDM replace existing banking systems?
No. MDM typically complements core banking, digital, servicing and analytics platforms by creating governed master records and relationships that downstream systems can trust.
Start the conversation
Build a trusted data foundation for modernization, analytics and AI.
PDI helps teams move from fragmented systems to governed, scalable and business-ready data platforms.