Where InfoSphere Information Analyzer fits in the suite architecture

You can use InfoSphere® Information Analyzer to understand data by completing data quality assessments, data quality monitoring, and flexible data rule design and analysis. This component is supported by a range of shared services and integrates with several InfoSphere Information Server components.

Data analysts and business analysts use InfoSphere Discovery to uncover source-to-target relationships, which can be fed into InfoSphere Information Analyzer as part of data profiling. Relationships between data can be linked to existing data rules and other metadata such as patterns, ranges of values, lists of valid values, and number of null values.

Data analysts can also use InfoSphere Information Analyzer to uncover actual data and assign terms to the data, rather than guessing what the content is based on metadata definitions. Terms and policies can be linked to the data rules to help understand how and where data is evaluated.

Data quality specialists use InfoSphere Information Analyzer to develop data rules that evaluate data against benchmarks, existing rules, and specified values. By combining multiple rules, data quality specialists can provide a broad assessment of records and data sources to enable rules analysis at multiple levels.

Results that are generated by using InfoSphere Information Analyzer can be shared with other components such as InfoSphere DataStage® and QualityStage®. By accessing the shared metadata repository, data integration specialists can use these tools to integrate data quality results into their projects. Integration with InfoSphere Information Governance Catalog enables all suite users to connect data sources to business terminology so that insights into data quality can be shared with a broader audience.