InfoSphere Information Analyzer

InfoSphere® Information Analyzer provides capabilities to profile and analyze data to deliver trusted information to your organization.

Data quality specialists use InfoSphere Information Analyzer to scan samples and full volumes of data to determine their quality and structure. This analysis helps to discover the inputs to your data integration project, ranging from individual fields to high-level data entities. Information analysis enables your organization to correct problems with structure or validity before they affect your data integration project.

After analyzing data, data quality specialists create data quality rules to assess and monitor heterogeneous data sources for trends, patterns, and exception conditions. These rules help to uncover data quality issues and help your organization to align data quality metrics throughout the project lifecycle. Business analysts can use these metrics to create quality reports that track and monitor the quality of data over time. Business analysts can then use the Data Quality Exception Console to track and browse exceptions that are generated by InfoSphere Information Analyzer.

Understanding where data originates, which data stores it lands in, and how the data changes over time is important to develop data lineage, which is a foundation of data governance. As part of the InfoSphere Information Server suite, InfoSphere Information Analyzer shares lineage information by storing it in the metadata repository. Other components in the suite can access lineage information directly to simplify the collection and management of metadata across your organization.