3 Keys to Data Modernization

May 26, 2015 Featured Articles

The enterprise data journey is multi-faceted, requiring the marriage of systems integration, data migration, data quality, data governance and data archiving throughout the lifetime of your corporate data. Underpinning this process is the new concept of data "modernization," which involves analyzing and preparing data to become holistically integrated into these processes.

Data modernization facilitates the overarching business processes that drive organizations’ success by coordinating and optimizing these events across the data lifecycle. To effectively unlock the power of data, businesses can now incorporate next-generation applications to support all requirements for data consistency, reliability, reusability and execution across information governance projects. When we talk about maximizing the effectiveness of integration, migration, data quality, governance and archiving, what we are really talking about is establishing trusted business processes.

By comparison, IT tools were not specifically designed to execute business processes; they generally handle activities at a lower level. IT tools do not provide a business process that oversees more than their specific function, and they are not typically built to add the all-important people and process parts to the equation of "people plus process plus technology" to their solutions.

Here are three main strategies to keep in mind throughout the data modernization process, to ensure that your business is working as efficiently as it should be . . .

Read the full article here: 3 Keys to Data Modernization

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Migrated correct, consistent and complete data from 27 legacy sources.