Data quality
Cleanse data, manage it and support better decision-making
Cleanse data, manage it and support better decision-making
Data quality helps you to cleanse and manage data while making it available across your organization. High-quality data enables strategic systems to integrate all related data to provide a complete view of the organization and the interrelationships within it. Data quality is an essential characteristic that determines the reliability of decision-making.
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.
See why IBM is a leader in the 2020 Gartner Magic Quadrant for Data Quality Solutions.
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.
David Abayev, Data Quality Architect at Flagstar Bank, describes the strategy to modernize information architecture.
A highly scalable data integration tool helps to design, develop and run jobs that move and transform data, on premises and in the cloud.
Manage master data for single or multiple domains, including customers, suppliers, products, accounts and more.
A flexible multicloud data platform that integrates your data, whether on premises or on cloud, and helps to keep it more secure at its source.