Data quality enables you to cleanse data and monitor data quality on an ongoing basis, ensuring the data is trusted by checking factors such as accuracy, completeness, relevance and age. Data quality is an essential characteristic that determines the reliability of data for making decisions.
Data is a valuable asset that must be managed as it moves through an organization. As information sources are growing more numerous and diverse, and regulatory compliance initiatives more focused, the need to integrate and access information from these disparate sources in consistent, trusted and reusable ways is also becoming critical.
Data quality solutions from IBM can help you enhance data integrity to get the most out of your information assets, by responding to customer issues in a timely manner, meeting regulatory compliance requirements and identifying revenue opportunities.
“InfoSphere QualityStage helped us materialize our new data quality rules in a highly flexible way. This was a key benefit, because we made lots of rule-changes in the early stages of the project while we were fine-tuning our information governance strategy.”
—Alex Souza, Innovation & Digital Transformation Advisor, Localiza