eQube-DP is used during the data discovery phase to understand various facets of data including data quality. eQube-DP assesses data quality and provides data correction and repair capabilities.
eQube-DP analyzes data from disparate systems and provides quality assessment based on semantics. For example; 'part' is defined as a semantic concept which is represented by multiple objects/relationships in different systems. eQube-DP can identify commonalties, correlations, and differences ('quality') for 'part' irrespective of its data structure in those systems. 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.
Legacy systems tend to be several years old and during those years, business rules/business conditions tend to change substantially. Businesses/divisions merge, are divested or purchased, leading to data quality issues in systems. It is prudent for any business to perform a thorough data quality assessment across mission-critical applications.
Data quality assessments can identify classification of data, anomalies in the data, similarities and patterns in data. eQube-DP has extensive capabilities to interrogate data and establish a quality assessment of that data. Furthermore, it has the abilities to create rules on the fly and apply them to the data to pinpoint anomalies in the data and/or to identify patterns in the data. Following figure shows examples of eQube-DP based analysis.
Such data quality assessment can lead to establishing comprehensive rules for data transformation during application integration/migration projects. As per eQ's proven IETLV methodology for application integration and migration, eQ recommends the use of eQube-DP up-front in the project.
In addition, eQube-DP allows for data correction and repair. If the customer desires to correct/repair the data in the source system (s), then utilizing eQube-MI, under stringent governance and a comprehensive data correction/repair approval workflow (s), data can be corrected in the source systems.