Transforming EDI Complexity: A Success Story with Pingahla’s IDMC Hierarchy Mapper Implementation

Transforming EDI Complexity

In today’s fast-paced digital landscape, managing complex Electronic Data Interchange (EDI) workflows in cloud ecosystems such as Informatica’s Intelligent Data Management Cloud (IDMC) is critical for ensuring operational agility and business continuity

The Challenge: Legacy EDI Code Slowing Progress

A forward-thinking enterprise was experiencing performance and maintenance challenges within its EDI transaction flows, both inbound and outbound, executed through IDMC’s B2B Gateway. The system was burdened by:

• Legacy PowerCenter DT (Data Transformation) code in outbound mappings

• High complexity and effort required for minor updates

• Slowed business agility and increased risk of errors

  
  

Realizing the need for modernization, the customer partnered with Pingahla to streamline and scale its EDI processing.

Pingahla’s Strategic Approach to EDI Modernization

Pingahla conducted a deep dive assessment of the client’s existing IDMC and EDI implementation. The objectives were:

• Optimize EDI Handling: Improve the efficiency of EDI message processing in IDMC’s B2B Gateway

• Simplify Maintenance: Migrate complex DT code into more manageable structures

• Enable Scalability: Deploy a flexible, reusable framework tailored to the client’s EDI endpoints and business logic

  
  

Key Solution Highlights

✅ 1. Eliminated Legacy DT Code

Pingahla reverse-engineered PowerCenter DT logic embedded in outbound mappings to understand business rules. These rules were then re-implemented using IDMC-native tools.

✅ 2. Migrated to IDMC Hierarchy Mapper

All business logic was transitioned to Informatica's Hierarchy Mapper, ideal for handling complex, structured data formats like EDI. The benefits:

• Easier updates and scalability

• Clear separation of data extraction and transformation logic

• Reduced dependency on legacy ETL code

Sample Hierarchy Mapper View

Above is an image of the implemented Hierarchy Mapper used in the transformation process

What is a Hierarchy Mapper

 A Hierarchy Mapper allows users to map data from hierarchical schemas (like XML, EDI, or JSON) to a structured target schema. It is a native component of IDMC that improves data transformation performance and manageability.

 Read more from Informatica

✅ 3. Introduced Two-Phase Outbound Processing

Pingahla separated the outbound process into two modular phases:

• Phase 1: Extract ERP data and generate intermediate XML at a designated server location

• Phase 2: Use Hierarchy Mapper to convert XML to the final EDI format

  
  

  This modularization added transparency and simplified debugging.

✅ 4. Built-In Event Tracking for Visibility

An event tracking table was introduced to monitor transaction progress:

• Tracks each step of the data transformation pipeline

• Captures errors with descriptive messages

• Enables faster troubleshooting and error resolution

  
  

Business Outcomes: Simplicity Meets Scalability

By adopting Pingahla’s IDMC EDI Framework, the customer experienced:

• Reduced Maintenance Overhead: Easier to manage and extend

• Enhanced Scalability: Add new message types and rules without disrupting existing flows

• Improved Observability: Real-time monitoring of transactions and error logging

• Better Alignment: Seamless integration with evolving business systems and endpoints

  
  

Conclusion: From Complexity to Capability

This successful transformation underscores how Pingahla unlocks the power of data by delivering secure, scalable solutions in cloud, on-prem, or hybrid environments. Our approach to EDI modernization using Informatica IDMC enabled the customer to break free from legacy constraints and achieve operational excellence.

Ready to Modernize Your EDI Workflows?

Let Pingahla simplify your EDI challenges in IDMC.

Contact us to learn how we can help you streamline and future-proof your data integration.