Informatica UDI Compliance Accelerator is an Informatica MDM MDE based accelerator configuration that has a multi-domain data model and business rules configured for master data management related to UDI (Unique Device Identification), Medical D...

Informatica's Data Management Accelerator for Clinical Trials helps pharmaceutical companies to integrate and manage data from disparate sources for a 360-degree consolidated view of investigators, clinical trials, compounds, and sites.Use this ...

With the Informatica Reference Data Management Accelerator, organizations can now easily manage and govern common and complex reference data that provides context to customer data, product data, location data, transactional data, and more.

Informatica's Customer Data Management for Insurance Accelerator enables life and non-life insurance companies to shift quickly and easily to a customer-centric view of operations from a policy-centric view. The solution enables improved busines...

The Azure Key Vault Encryption Accelerator encrypt and decrypt the passwords of the Product 360 config files.

This accelerator is an Informatica MDM Product 360 export adapter interface (pre-configured template) for product and category data publication to the Salesforce Commerce Cloud back end. With the provided export templates, it is easy to export e...

Informatica's Healthcare Data Management for Providers Accelerator enables a 360-degree view of employees, healthcare providers and organizations including their identifiers, specialty, affiliations, and relationships in a complex information ec...

Informatica's Healthcare Data Management for Payers Accelerator enables payers to quickly and easily create a unified and trusted view of member and payer data across enterprise applications and lines of business to keep up with changing busines...

Customers need a licensed Informatica MDM - Product 360 application. Support for all standard functionality of the export engine is part of a customer maintenance contract.

A mapping example that demonstrates normalizing the data without using a normalizer transformation.