What is data integration?
Data integration is the combination of technical and business processes used to combine data from disparate sources into meaningful and valuable information. A complete data integration solution encompasses discovery, cleansing, monitoring, transforming and delivery of data from a variety of sources.
A new era of computing is unfolding, bringing with it an explosion in the volume, variety and velocity of data. Integration of trusted data improves the success rate of critical projects and key analytics initiatives. Organizations of all sizes need data integration capabilities that fully support their business requirements. They need to integrate data wherever it resides – whether on the mainframe or within big data sources – while applying governance and data-quality best practices. And they need to support big data.
How does data integration help your organization?
IBM's data integration solutions enable you to understand, cleanse, monitor, transform and deliver data, as well as to collaborate to bridge the gap between business and IT. IBM provides capabilities for delivering data in real time to business applications, whether through bulk (extract, transform, load (ETL)), virtual (federated) or incremental (change data capture) data delivery.
With IBM, you can ensure that the information that drives your business and your strategic initiatives – from big data and point-of-impact analytics to master data management and data warehousing – is trusted, consistent and governed in real time.
Data integration at Premier Healthcare Alliance delivers near-real-time insight that helps providers improve patient healthcare.
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ScotiaBank reduced end-to-end time to deliver reports by over 50% and provided CAN$1 million annual savings in statement printing costs
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InfoSphere Information Server for Data Integration
Spend 3 minutes and learn how InfoSphere Information Server supports big data integration, agile integration for all levels of data volume, easy self-service data integration, and more!
Magic Quadrant for Data Integration Tools
IBM is a leader in Gartner's Magic Quadrant for Data Integration Tools, positioned Highest in Ability to Execute (Source Gartner July 2013)
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Integrating and governing big data
Does big data spell big trouble for integration? Not if you follow these best practices
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TDWI Best Practices Report - Next generation data integration
Get an understanding of the many new products and options that have entered data integration practices in recent years, and learn how to map these newly available technologies, products, and practices to real-world use cases.
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Business Case for Enterprise Data Integration Strategy
A International Technology Group (ITG) report comparing IBM InfoSphere Information Server and Open Source Tools
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