Abstract: Various embodiments of systems and methods for evaluating a trust value for a report are disclosed herein. The method includes obtaining one or more reports by the computer, where the reports are formed of one or more fields of data. An end-to-end lineage for the data is determined to trace the data back to the data source system from which the data had originated initially. Further, the method includes validating each of the multiple data source systems including intermediate tables, and determining a data quality score for each of the multiple data source systems. A trust value for the report is calculated based on the data quality scores for the one or more data source systems and intermediate tables, and rendered along with the report.

Abstract: In one embodiment, the method includes profiling a data file comprising one or more fields of data. The one or more fields of data contain an item of data; that is, a character, or group of characters that are related. Further, the method includes generating one or more profiling attributes based on profiling the data file. In an example, the one or more profiling attributes refer to profiling information relating to pattern, structure, content and format of data. Further, the method includes selecting at least one of the generated one or more profiling attributes and generating a validation rule based on the selected at least one profiling attribute.

Abstract: Various embodiments of systems and methods for evaluating a trust value for a report are disclosed herein. The method includes obtaining (110) one or more reports 270 by the computer 260, where the reports 270 are formed of one or more fields of data. An end-to-end lineage for the data is determined to trace the data back to the data source system 210, 211, and/or 212 from which the data had originated initially. Further, the method includes validating each of the multiple data source systems 210, 211, and 212 including intermediate tables, and determining (130) a data quality score for each of the multiple data source systems 210, 211, and 212. A trust value for the report 270 is calculated (140) based on the data quality scores for the one or more data source systems 210, 211, and 212 and intermediate tables, and rendered along with the report.

Abstract: A system and method for automatic business content discovery are described. In various embodiments, a system includes modules to bind business terms to data validation rules and search data sources for data matching data validation rules. In various embodiments, the system binds matching data to data validation rules. In various embodiments, a user interface is provided for creating and managing business terms and data validation rules. In various embodiments, a method for profiling and monitoring data via graphical controls is presented.

Abstract: A computer readable storage medium includes executable instructions to present a task grid to a set of users. A specification of target column information and source column information is accepted from the set of users to produce a data migration task grid. A data migration task is generated from the data migration task grid. The data migration task is processed.