EDI Validation Is More Than Finding Errors — Visibility Matters Too
In my previous video, I shared how the EDI Validation Suite is being developed to validate EDI transactions and identify issues before they impact downstream systems or trading partners.
But identifying an error is only one part of the problem.
For EDI development, testing and support teams, it is equally important to understand:
• How many transactions are being validated?
• How many are successful?
• How many are failing?
• What types of transactions are being processed?
• What validation errors are occurring?
• How is validation quality changing over time?
That's why we are extending the solution beyond a basic EDI file validator.
In this video, I'm sharing another part of the EDI Validation Suite, including:
➡️ Detailed validation results
➡️ Validation history
➡️ Dashboard analytics
➡️ Successful vs failed validations
➡️ Transaction-level visibility
➡️ Validation trends
➡️ Validation health indicators
➡️ Search and filtering capabilities
The objective is to gradually build a platform where EDI Developers, Business Analysts, QA Teams, Integration Architects and Support Teams can not only validate EDI transactions but also understand the overall quality of their EDI processing.
This is an evolving solution, and I'm sharing the development journey openly because feedback from people who actually work with EDI is extremely valuable.
There are many more capabilities that we plan to demonstrate individually in upcoming videos.
If you manage EDI implementations or production support, what information would you want to see on an EDI validation dashboard?
I would be interested to hear your suggestions. It is greatly appreciated.
hashtag#EDI hashtag#B2B hashtag#EDIValidation hashtag#EDIAnalytics hashtag#X12 hashtag#B2BIntegration hashtag#Integration hashtag#SupplyChain hashtag#DataQuality
In my previous video, I shared how the EDI Validation Suite is being developed to validate EDI transactions and identify issues before they impact downstream systems or trading partners.
But identifying an error is only one part of the problem.
For EDI development, testing and support teams, it is equally important to understand:
• How many transactions are being validated?
• How many are successful?
• How many are failing?
• What types of transactions are being processed?
• What validation errors are occurring?
• How is validation quality changing over time?
That's why we are extending the solution beyond a basic EDI file validator.
In this video, I'm sharing another part of the EDI Validation Suite, including:
➡️ Detailed validation results
➡️ Validation history
➡️ Dashboard analytics
➡️ Successful vs failed validations
➡️ Transaction-level visibility
➡️ Validation trends
➡️ Validation health indicators
➡️ Search and filtering capabilities
The objective is to gradually build a platform where EDI Developers, Business Analysts, QA Teams, Integration Architects and Support Teams can not only validate EDI transactions but also understand the overall quality of their EDI processing.
This is an evolving solution, and I'm sharing the development journey openly because feedback from people who actually work with EDI is extremely valuable.
There are many more capabilities that we plan to demonstrate individually in upcoming videos.
If you manage EDI implementations or production support, what information would you want to see on an EDI validation dashboard?
I would be interested to hear your suggestions. It is greatly appreciated.
hashtag#EDI hashtag#B2B hashtag#EDIValidation hashtag#EDIAnalytics hashtag#X12 hashtag#B2BIntegration hashtag#Integration hashtag#SupplyChain hashtag#DataQuality
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