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Migrating to the Cloud? Great Time to Improve Data Quality

  
  
As organizations move applications to the Cloud where it makes sense to do so, they should recognize that this is an ideal opportunity to improve the value of the underlying data assets that feed these applications. After all, any system, Cloud or otherwise, is only as good as the data within it.

A "move to the Cloud" provides a unique opportunity to both ensure existing data is of the highest possible quality and to also install mechanisms to govern that all future data that enters the system is accurate, current, and complete. This is especially ideal if data is also being moved from an existing internal database to a Database-as-a-service (DBAAS) product like SQL Azure or Amazon RDS, or a to a database that will be running on top of a Cloud service such as MySQL or SQL Server on Amazon, Microsoft Azure, Rackspace, or any other Cloud platform.

As data is moving from its source database, where it currently exists, into its target Cloud database, you can take advantage of this ideal time to:

- Ensure all physical addresses are valid, accurate, current and complete
- Ensure all email addresses are live, working email addresses that have not been disabled or changed (otherwise, you could find yourself on spam lists simply by trying to contact your customers)
- Ensure all telephone numbers are valid, accurate, and current
- Ensure all data fields are consistent in content and individual data elements are non-ambiguous, making data analysis and the emerging field of data science much more effective
- Fill in all missing data where possible
- Eliminate duplicate contact and customer records
- Incorporate any other data-specific business rules and requirements that make sense for your organization

Also, the wise organization puts real-time data quality and data enhancement mechanisms in place at the points of data collection, such as a data entry form or within a Web-to-lead process, to ensure that all new data coming into a system is of the highest possible quality. This also  prevents degradation of data over time, so the same set of issues do not occur again a short time later. Otherwise, this will lead to more cleansing efforts and cost downstream.

A significant part of the success of any Cloud initiative revolves around cleansing existing data during migration, getting real-time data quality mechanisms in place, and establishing an ongoing data management plan with metrics and goals for going forward. Don't let rare application migration opportunities such as this go to waste.

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