Data Quality: Deliver fit-for-purpose data

Drive your most critical business initiatives by working with data you can trust.

Delivering high-quality data for everyone

Proactively cleanse your data from many sources and keep it clean by extending data quality to your stakeholders, data domains and applications.

Access more reliable data analytics

Profile, standardize, measure and monitor your data quality for trusted results.

Create more efficient operations

Generate end-to-end data quality by using automated and simplified processes.

Enrich the customer experience

Improve your CX apps and MDM tools with precise data from a shared repository.

Enable fast data profiling

Perform continual analysis to better understand your data and detect problems.

Apply data profiling
Access data quality transformations

Standardize data quality

Integrate data cleansing and standardization, address verification and more.

Use prebuilt rules and accelerators

Reuse common data quality rules across any data from any source.

Use pre-built rules and accelerators
Monitor the data

Monitor your data

Continuously monitor and track data quality across multiple source systems.

Raise the bar on your data quality in just days

Empowering customers to achieve success

“In the past, it took 6 months to generate files that are used for client reporting that can now be done in 2-3 days—a 95% reduction in manual effort to analyze data—allowing us to expand the scope of our project effort for critical clinical operations.”

Joseph Fagnoni

Executive Advisor, Data & Analytics, CVS Health

Your essential Data Quality resources

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Ten Data Quality Dividends: Build a Business Case for Data Quality

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How to Improve Data Quality for Your Cloud Data Warehouse

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Accelerate Your Journey to the Cloud With Data You Can Trust

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Data Quality: The Foundation of Every Successful Cloud Migration

 

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Find and inventory data assets throughout your organization.

Make sure your data is fit for purpose

Begin driving better outcomes with high-quality data today.