Trusted data is the foundation of good business decisions. IBM offers data quality solutions that help to optimize the key dimensions of data quality: accuracy, completeness, consistency, timeliness validity, and uniqueness.
These robust data quality tools help you to identify, understand and correct data flaws to drive better decision making and governance.
DataOps ensures that data quality is preserved to meet all your business goals across a business-ready data pipeline. By implementing a data quality solution from IBM, your organization can enhance data integrity to get the most from your informational assets.
Accelerate responsible, transparent and explainable workflows for generative AI built on third-party platforms
Govern your data and accurately target customers for cross-sell.
Manage diverse data across its lifecycle and optimize ROI.
Consolidate applications and automate processes to reduce cost.
Turn data into trusted information. Continuously cleanse data and monitor its quality.
Maintain an accurate view of entities such as customer, location, vendor and product.
Get a rich set of data capabilities for Apache Hadoop big-data storage clusters.
Find business data, curate it, categorize it, govern it, analyze it and share it.
Alert, respond, and resolve all your data incidents in one location with data observability.
Discover why IBM is named a Leader for the 17th time in a row in the 2024 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions.
Discover why IBM is named a Leader for the 18th year in a row in the 2023 Gartner® Magic Quadrant™ for Data Integration Tools
Learn from the experts in this step-by-step guide on how to take a values-driven approach to data quality and AI practices
See how DataOps builds a data-driven culture with automation, quality and governance.
Learn how data quality management delivers business value.
Learn why verification and geocode solutions are critical while running ETL jobs.
Learn how data quality drives end-to-end flow from data creation to better business decisions.
This framework of services provides a systematic way to assess and remediate data with well-specified APIs.