Using eQube®-DP, eQ delivers an alternative to manual and query-based analysis.
Using a business rules engine with advanced semantic mapping and logic, eQube®-DP interrogates single or multiple complex data sources to
deliver an initial data quality score, presenting the types of data issues in user friendly interactive reports, classifying the issues by various means
such as duplication, incorrect formats, nulls, typing errors etc.
These and many more methods can be configured using rules to highlight the data quality
challenges. Using a method known as snapshots, we can capture the data quality state at any point in time, lock the results and provide comparison of states
over a period of time.
eQ's approach to migration or integration solutions revolves around its 'IETLV' philosophy. IETLV stands for Identification, Extraction, Transformation,
Load, and Validation.
In any migration project, understanding the quality or facets of data in source systems is critical to help define the transformation
rules and object model of the target system.
eQube®-DP delivers this initial Data Discovery and Data quality assessment (or 'I' of the IETLV methodology).