International Business Machines Corporation
Data integration process refinement and rejected data correction

Abstract:

Data integration process/tool refinement and correction of rejected data. A method acquires rejected data from a data integration tool, the rejected data rejected by the data integration tool during a data integration process. The method applies machine learning to a cognitive system, the machine learning being based at least in part on at least some of the acquired rejected data, and the machine learning including training the cognitive system to identify corrections to data elements to facilitate data element acceptance by the data integration tool. The method analyzes a data element of the acquired rejected data and identifies a correction to apply to the data element. The method applies the correction to the data element to obtain a corrected data element. The method also provides the corrected data element to the data integration tool for acceptance by the data integration tool and provision to a target.