What is data quality?

Data quality is an essential characteristic that determines the reliability of data for making decisions.

Data quality solutions from IBM help you identify revenue opportunities, meet regulatory compliance requirements and respond to customer issues in a timely manner.

  See how IBM has been positioned as a leader in the Gartner Magic Quadrant for Data Quality

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Act on a trusted view

Provide all available and meaningful information about your customer in a trusted view. Accurately target your customers for cross-sell and up-sell opportunities while governing your data.

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Accelerate data governance

Enhance data quality, create master views of key entities and manage diverse data across its lifecycle. Thus, reduce time and cost of implementation to maximize ROI from key initiatives.

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Modernize systems with consolidation

Consolidate applications, retire outdated databases and modernize systems. Automate business processes for cost savings.

How to use data quality

IBM InfoSphere Information Server for High Quality Dependable Data

This video gives you an over of InfoSphere Information Server for Data Quality offering and helps you understand how it delivers accurate, insightful, in-context and complete data for your critical business initiatives like master data management, trusted data for warehouses, application consolidation and retirement etc.

 

Data quality resources

 

The business case for data quality

Having accurate information is important for operational purposes, decision making, technical reasons and regulatory compliance.

 

Getting started with a data quality program

With InfoSphere Information Server, organizations have the flexibility to address initial data quality problems and ensure that data quality is maintained over time.

 

IBM InfoSphere Information Server for Data Quality

Understand data and its relationships, analyze and monitor its quality continuously while cleansing and matching it to ensure quality and consistency.

Client success stories

 

Teachers Insurance and Annuity Association - College Retirement Equities Fund (TIAA CREF)

TIAA CREF leveraged IBM solutions to improve plan reporting, customer view and processing speed by almost 10 times.

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ANZ Bank

ANZ Bank has implemented IBM InfoSphere solutions to achieve a deeper understanding of customers, to drive innovation and to stay ahead of competitors.

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Blue Cross Blue Shield of Tennessee (BCBS)

BCBS turned to IBM to profile, analyze, cleanse and standardize their big data more quickly than before.

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Contact an IBM data governance expert to learn more

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