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WebSphere Information Analyzer tasks

The WebSphere® Information Analyzer user interface presents an intuitive set of controls that are designed for integration development workflow.

The WebSphere Information Analyzer user interface aids you in organizing data analysis work into projects. The top-level view is called a Dashboard because it reports a summary of your key project and data metrics, both in a graphical format and in a status grid format.

The high-level status view in Figure 1 summarizes the data sources, including their tables and columns, that were analyzed and reviewed so that managers and analysts can quickly determine the status of work. The project view of the GlobalCo project shows a high-level summary of column analysis, an aggregated summary of anomalies found, and the Getting Started pane.

Figure 1. WebSphere Information Analyzer project view
Information Analyzer project view

While many data analysis tools are designed to run in a strict sequence and generate one-time static views of the data, WebSphere Information Analyzer enables you to perform select integration tasks as required or combine them into a larger integration flow. These tasks fall into three categories:

Profiling and analysis
Provides complete analysis of source systems and target systems, and assesses the structure, content, and quality of data, whether at the column level, the cross-column level, the table or file level, the cross-table level, or the cross-source level. This task reports on various aspects of data including classification, attributes, formatting, frequency values, distributions, completeness, and validity.
Data monitoring and trending
Helps you assess data completeness and validity, data formats, and valid-value combinations. This task also evaluates new results against established benchmarks. By using the WebSphere AuditStage component, business users develop additional data rules to assess and measure content and quality over time. Rules can be simple column measures that incorporate knowledge from data profiling or complex conditions that test multiple fields. Validation rules assist in creating business metrics that you can run and track over time.
Facilitating integration
Provides shared analytical information, validation and mapping table generation, and testing of data transformations by using cross-comparison of domains before and after processing.
Related concepts
WebSphere Information Analyzer capabilities
A closer look at WebSphere Information Analyzer

PDF This topic is also in the IBM Information Server Introduction.

Update icon Last updated: 2008-09-15