Methodology and best practices

Use IBM® InfoSphere® Information Analyzer to understand the content, structure, and overall quality of your data at a given point in time.

The analysis methodology and best practices provides a deeper insight into the analytical methods employed by IBM InfoSphere Information Analyzer to analyze source data and rules.

The information is organized by analytical function. It gives you both in-depth knowledge and best practices for:

• Data analysis, including:
  • Applying data analysis system functionality
  • Applying data analysis techniques within a function
  • Interpreting data analysis results
  • Making decisions or taking actions based on analytical results
• Data quality analysis and monitoring, including:
  • Supporting business-driven rule definition and organization
  • Applying rules and reusing consistently across data sources
  • Leveraging multi-level rule analysis to understand broader data quality issues
  • Evaluating rules against defined benchmarks/thresholds
  • Assessing and annotating data quality results
  • Monitoring trends in data quality over time
  • Deploying rules across environments
  • Running ad hoc, scheduled, or command line execution options