Infor ERP

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DataNovata has been used to create an application template for Infor.

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Infor XA is a dedicated discrete manufacturing ERP system that covers every type of manufacturing. Infor XA's origins were IBM's MAPICS system which was acquired in 2005 by Infor. MAPICS code ran only on IBM midrange systems like the IBM System 34, 36, 38 and the IBM AS/400and IBM I-series on IBM Power Systems. The OS database is DB2. The DataNovata solution that has replaced Infor XA for our clients runs on MS SQL, Windows 2016 Server.

DataNovata’s Infor ERP template 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 currently in the template:
  • Customer Order List
  • Customer Order Detail
  • Purchase Order
  • Order Line Items
  • Order Shipments
  • Invoices
  • Customer Order Shipment
  • Customer Invoice Details
  • Customer Invoice Comments
  • Customer Invoice Amounts
  • Customer Invoice Terms
  • Customer Invoice Sales
  • Shipped Items List
  • Customer List
  • Customer Details
  • Customer Media
  • Customer Logistics
  • Customer Addresses
  • Customer Pricing/Billing
  • Customer Accounts Receivable
  • Inventory Transaction History
  • Vendor List
  • Approved Supplier List
  • Item List
  • Item Characteristics
  • Item Standard Costs
  • Item Standard Cost Dates
  • Item Current Costs
  • Purchase Order List
  • Purchase Order Items Search
  • Purchase Order Details
  • Purchase Order Items
  • Purchase Order Finance
  • Purchase Order Contacts
  • Bill of Material
  • Scheduled Receipts
  • GL > Transaction Amounts
  • GL > Short Journal Entry
How It Works

Need more screens?
Not a problem. Adding screens and reports 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 files.

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