As obvious as its benefits may sound, many organizations have not thought of assessing the quality of the data residing in their mission-critical systems. Due to a variety of business drivers, there is a clear need to establish an enterprise-wide Digital Backbone of integrated applications. Once such a backbone is established, mission-critical data can seamlessly flow across applications, legacy systems can be synchronized with newer applications, and over a period of time applications can be consolidated by migrating them to a new system (s).

During the application integration and / or migration projects, having a thorough assessment of the quality of the data is essential. With such assessment, data transformation rules can be established that cover all classification of data, anomalies in the data, and patterns in the data. In addition, data quality assessment can lead to on-going data correction and repair cycle leading to substantial improvement in the quality of mission-critical data.

eQube-DP assesses data quality and provides data correction /repair capabilities. It interrogates the data in legacy systems / enterprise systems to understand its ‘quality'. It identifies anomalies, similarities, and patterns in the data. Such qualification of data then can be used not only to correct and repair the data, but also as an essential step in establishing transformation rules for application migration and integration.

 


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