JD Edwards ERP Decommissioning, Data Access & Archiving Solution

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DataNovata preserves data access when you decommission JD Edwards ERP.

Plan Your JDE Decommissioning

Migrating JD Edwards ERP Data: From Legacy Risk to Independent Access

JD Edwards was a prominent ERP system throughout the 1990s, commonly operating on IBM AS/400 (World) or Windows/Unix (OneWorld) platforms. Maintaining legacy versions of JD Edwards today presents increasing operational risk and a reliance on dwindling technical expertise specialized in these legacy architectures. DataNovata eliminates the risk of retaining JD Edwards data by generating an autonomous web-based application, with secure access to your historical financial, manufacturing, and distribution records.

DataNovata's Customizable JD Edwards Template

DataNovata has a customizable application template for viewing JD Edwards ERP data history completely independent of the vendor platform. The template uses the native schema and allows organizations to migrate, archive and modernize legacy data at a fraction of the cost, to decommission the original technology, support data regulation compliance and data privacy.

The following screens are included in the current template:
  • Account Ledger Inquiry by Account Number
  • Account Ledger Inquiry by Object Account
  • Accounts by Business Unit
  • Business Units by Company
  • Batch Versions
  • Close Accounting Period
  • Fixed Asset Master: Search
  • Fixed Asset Master: Revisions
  • Fixed Asset Master: Cost Summary
  • Fixed Asset Master: Asset Ledger Inquiry
  • Journal Entry Batch Review
  • Trial Balance
  • Trial Balance: No Zero Balance
How DataNovata Works

Need more screens?
Not a problem. Adding screens is what we do best. Just let us know your business requirements and we will have it ready
in no time at all.


Looking for another application?

Even if it’s not a COTS application, don’t be concerned. DataNovata can map any database schema using a JDBC connector and generate an intelligent view of the database even from .csv extracts.

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