When data is moved from one system to another, or integrated from a number of disparate systems, it is crucial to ensure that the migrated data is fit for purpose. With its holistic approach to data quality management, Datanomic's dn:Director enables users to understand, improve, protect and control data quality and maximize the value delivered by new or consolidated systems.
Customer Data Migration
When migrating data to a new or existing system, IT personnel often understandably restrict their remit to ensuring technical migration success - moving the data and preserving basic data integrity. However, the true success of a data migration project can only be measured against business goals. This means that the data must not simply 'fit' in a technical sense, but must also be fit for all its new and existing purposes. The source data must therefore be fully understood, validated, improved and re-validated before migration, using transparent rules that check it against the business needs of the data in the new system.
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Data Migration
By enabling a major US Telco to understand and address data quality issues, Datanomic ensured that a multi-million dollar data migration was completed on time and to budget.
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SAP Data Migration
When planning to migrate ERP data, organizations should ensure that the data is 'fit for purpose' in the new system.
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