IBM expands data and AI excellence with data cataloging in IBM Cloud Pak® for Data

IBM expands data and AI excellence with data cataloging in IBM Cloud Pak® for Data Read the blog post

Accelerate information-centric projects

Understanding the quality, content and structure of your data is an important first step when making critical business decisions. IBM® InfoSphere® Information Analyzer, a component of IBM InfoSphere Information Server, evaluates data quality and structure within and across heterogeneous systems. It utilizes a reusable rules library and supports multi-level evaluations by rule record and pattern. It also facilitates the management of exceptions to established rules to help identify data inconsistencies, redundancies and anomalies, and make inferences about the best choices for structure.

→ See why IBM is a Leader in the 2020 Gartner Magic Quadrant for Data Quality Solutions


Optimize development resources

The data profiling, analysis, and monitoring capabilities maximize development resources by identifying missing, incorrect, bad and redundant data before starting a data integration project.

Deliver trusted content

Continuous data quality monitoring and feedback reduces the risk of proliferating incorrect information. Facilitating the delivery of trusted content reinforces business users' confidence in the data.

Reduce downstream costs

Downstream system costs due to data problems increase exponentially the later they're identified. Identify and correct problems with data structure or validity before it affects your project.

Advanced analysis and reporting

Create reports that summarize analysis results and show details about your project. Choose from 80 configurable reports for visualizing analysis and trends.

Key features

  • Information Analyzer and GDPR
  • Collaborative multi-user environment between business and IT
  • Integrated rules analysis
  • Advanced analysis and monitoring
  • Broad support for heterogeneous data
  • Integrated metadata
  • Language support