Overview
InfoSphere Information Analyzer helps understand data quickly by offering data quality assessment, flexible data rules design & analysis, & quality monitoring capabilities.
These insights help derive more information from enterprise data to accelerate information-centric projects. Tight integration with IBM InfoSphere QualityStage provides direct re-use of data rule definitions created in Information Analyzer.
Deep profiling capabilities - provide a comprehensive understanding of data at the column, key, source, and cross domain levels
Multi-level rules analysis (by rule, by record, by pattern) unique to the data quality space - provides the ability to evaluate, analyze, and address multiple data issues by record rather than in isolation
Shared metadata foundation - integrate the modules across IBM InfoSphere Information Server and IBM InfoSphere Information Server for System z in support of the enterprise
Native parallel execution for enterprise scalability - enables high performance against massive volumes of data
Supports Data Governance initiatives through auditing, tracking and monitoring of data quality conditions over time
Enhanced data classification capabilities help focus attention on common personal identification information to build a foundation for Data Governance
Proactively identify data quality issues, find patterns and set up baselines for implementing quality monitoring efforts and tracking data quality improvements
Languages supported: English, Chinese (simplified and traditional), Japanese, Korean, Spanish, Portuguese (Brazil), Italian, German, and French.
White paper
Learn why data profiling is a critical activity that should take place in the IT enterprise.
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