#analytics
What is data quality?
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 identify revenue opportunities, meet regulatory compliance requirements and respond to customer issues in a timely manner.
See why IBM is a leader in the Gartner Magic Quadrant for Data Quality Tools.
Features
Act on a trusted view
Provide all available and meaningful information about your customers in a trusted view. Accurately target your customers for cross-sell and up-sell opportunities, while governing your data.
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.
Modernize systems with consolidation
Consolidate applications, retire outdated databases and modernize systems. Automate business processes for cost savings.
In the spotlight
See what's new with IBM InfoSphere Information Server v11.7
IBM InfoSphere® Information Server has an array of new capabilities to advance its functionality even further.
- User interface modernization and consolidation
- Management and runtime improvement on the data lake
- Connectivity enhancement
- Platform modernization and simplification
Products
IBM InfoSphere Information Server for Data Quality
Rich capabilities for organizations to continuously cleanse data and monitor data quality, helping turn data into trusted information
IBM InfoSphere QualityStage®
Helps create and maintain an accurate view of data entities like customer, location, vendors and products across your enterprise
IBM BigQuality
Provides a rich set of data quality, profiling, cleansing and monitoring capabilities for Hadoop big data storage clusters
IBM InfoSphere Information Analyzer
Provides data profiling and analysis to accurately evaluate the content and structure of your data for consistency and quality
Resources
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. Continuously analyze and monitor its quality, while cleansing and matching it to ensure quality and consistency.
Achieve data quality assessment automation
IBM Information Analyzer provides automatic ingestion, automatic term assignment and automatic quality rule creation to make adding assets to your data lake a quality experience.
Using machine learning to build trusted data
Find out how IBM is ensuring better data outcomes, using deep profiling and analysis with machine learning.
Customer success
Localiza wanted greater visibility of customer interactions across its various car rental and sales business units, to help it identify opportunities to improve service and boost sales.
Aiming to double the value of its real estate portfolio in five years, QuadReal’s decision-makers needed timely, accurate insight into portfolio data scattered across many disparate source systems.
Related products
IBM InfoSphere Information Server
An advanced, end-to-end data integration platform that enables you to cleanse, monitor, transform and deliver trusted data
IBM InfoSphere Information Governance Catalog
An enterprise data catalog that allows users to create, manage and share a common business language and find, understand and analyze information
IBM InfoSphere Master Data Management
Manages master data for single or multiple domains, including customers, suppliers, products, accounts and more
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