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Data Migration

Data migration cannot be neglected as a business migrates to new applications. It is the core element of moving a business away from legacy systems and on to modern Enterprise Resource Planning (ERP) packages. Failure to devote resources, talent and tools to successfully port over the businesses' knowledge data will result in failure. The software applications are also critical, however nothing is more important than the data that is essential to the successful operation of the business. Planning for a migration of data from one system to another should follow System Development Life Cycle (SDLC) standards for project management and breakdown of essential elements of a plan. The process is centered on a methodology that defines the objectives of the project, task descriptions, business or project prerequisites, defining deliverables and establishing a project management plan for completing the objectives. It is a life cycle or process that is geared toward fast and accurate migration and development of higher quality systems, ready for deployment in a crucial situation: the continuation of business processes after the migration. To successfully move data from on system to another


Column profiling involves analyzing the values in each column, determining characteristics, data types and size, value ranges and uniqueness. Skills in programming, both the existing legacy system and the target system must be an integral team member. Through the profiling processes redundancies are identified within data across tables and this process will eliminate data redundancy. Primary keys will be identified as well as relationships that are true in varying times or relationships. The objectives of the project must be well defined and supported by senior management. Essential to the success is the formation of the team and project management. Integrating and Migrating Legacy Systems. The team should be made up of a senior staff member, as suggested this individual should be the sponsor.

Common topics in this essay:
John Shepherd, Critical Factors, Team Skills, Cycle SDLC, Strategies Preparing, Summary Data, Planning ERP, , Elements Planning, project management, DM Review, data migration, analysts project, business analysts project, preparing data, migration critical, meta data, business analysts, data profiling, life cycle, data system,

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Approximate Word count = 931
Approximate Pages = 4 (250 words per page double spaced)

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