Master data management for banks and retailers
Banks and retailers both depend on trusted customer, product, account, supplier and location data. PDI helps teams unify master data across fragmented systems so analytics, operations, personalization, risk and reporting can rely on consistent information.
Common MDM use cases across banking and retail
Customer 360
Create a governed view of customers across digital, service, loyalty, account and transaction systems.
Product 360
Standardize product hierarchies, attributes, bundles, pricing context and downstream product data quality.
Account and household data
Support customer relationships, householding, account ownership and segmentation in financial services.
Supplier and location data
Improve consistency across stores, vendors, channels, regions, suppliers and fulfillment ecosystems.
Reduce data friction across revenue, operations and analytics
Industry MDM programs help reduce duplicate records, conflicting definitions, manual reconciliation and reporting mistrust. PDI focuses on the master data domains that directly impact business outcomes.
A repeatable MDM implementation pattern
Define domains
Confirm the master domains, systems of record and business owners.
Profile data
Measure duplicates, missing values, invalid fields and inconsistent hierarchies.
Govern rules
Define matching, survivorship, stewardship, hierarchy and approval rules.
Integrate and measure
Publish trusted data to operational, analytics and AI-consuming systems.
PDI combines MDM, data quality, governance and cloud data modernization
PDI helps organizations modernize data platforms and improve trust across Informatica, Snowflake, Databricks, AWS, Azure, Google Cloud and modern analytics ecosystems.
Common questions
Should banking and retail MDM be one page or separate pages?
For SEO, banking and retail can eventually become separate pages because the search intent and use cases differ. A combined page can still work as an industry MDM hub that links to deeper industry pages.
What domains matter most for retail MDM?
Customer, product, supplier, location, channel and pricing-related master data are common high-value domains.
What domains matter most for banking MDM?
Customer, party, account, product, household, risk, compliance and reference data are common high-value domains.
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.
