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Enterprise Resource Planning




                    notes          accounting,  human  resources  [HR],  manufacturing  management,  and  customer  relationship
                                   management [CRM]) into a coherent whole. Manufacturing management also includes inventory,
                                   purchasing, and quality and sales management.
                                   This is very common in the retail sector, where even a mid-sized retailer will have a discrete
                                   Point-of-Sale (POS) product and financials application, then a series of specialized applications
                                   to handle business requirements such as warehouse management, staff rostering, merchandising
                                   and logistics.
                                   Ideally, ERP delivers a single database that contains all data for the software modules, which
                                   would include:
                                   1.   Manufacturing:  Engineering,  Bills  of  Material,  Scheduling,  Capacity,  Workflow
                                       Management, Quality Control, Cost Management, Manufacturing Process, Manufacturing
                                       Projects, Manufacturing Flow
                                   2.   Supply Chain Management: Order to cash, Inventory, Order Entry, Purchasing, Product
                                       Configurator, Supply Chain Planning, Supplier Scheduling, Inspection of goods, Claim
                                       Processing, Commission Calculation
                                   3.   Financial: General Ledger, Cash Management, Accounts Payable, Accounts Receivable,
                                       Fixed Assets
                                   4.   Projects: Costing, Billing, Time and Expense, Activity Management

                                   5.   Human Resources: Human Resources, Payroll, Training, Time & Attendance, Rostering,
                                       Benefits
                                   6.   Customer  Relationship  Management:  Sales  and  Marketing,  Commissions,  Service,
                                       Customer Contact and Call Center support
                                   7.   Data  Warehouse:  Various  Self-service  interfaces  for  Customers,  Suppliers,  and
                                       Employees
                                   8.   Access control: User privilege as per authority levels for process execution
                                   9.   Customization: To meet the extension, addition, change in process flow.
                                   To implement ERP systems, companies often seek the help of an ERP vendor or of third-party
                                   consulting  companies.  These  firms  typically  provide  three  areas  of  professional  services:
                                   consulting, customization and support. The client organisation may also employ independent
                                   program management, business analysis, change management and UAT specialists to ensure
                                   their business requirements remain a priority during implementation.
                                   Data migration is one of the most important activities in determining the success of an ERP
                                   implementation. Since many decisions must be made before migration, a significant amount of
                                   planning must occur. Unfortunately, data migration is the last activity before the production
                                   phase of an ERP implementation, and therefore receives minimal attention due to time constraints.
                                   The following are the steps of a data migration strategy that can help with the success of an ERP
                                   implementation:
                                   1.   Identifying the data to be migrated
                                   2.   Determining the timing of data migration
                                   3.   Generating the data templates
                                   4.   Freezing the tools for data migration

                                   5.   Deciding on migration related setups
                                   6.   Deciding on data archiving





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