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Gartner Magic Quadrant for Data Integration Tools
For the 14th straight year, Informatica is named a Leader in the 2019 Gartner Magic Quadrant for Data Integration Tools.
For the 14th straight year, Informatica is named a Leader in the 2019 Gartner Magic Quadrant for Data Integration Tools.
Expert Advice On Simplifying Data Integration
Why new business challenges require new thinking
Learn how to find, validate, and maximize the value of data across a complex global IT environment with intelligent, automated data discovery.
With this Gartner Vendor Rating Report, Informatica joins a select group of vendors that have undergone assessment in 6 key areas, including products, technology, strategy, and more.
Forbes Insights reports on AI-driven data catalogs that help business discover, uncover, and understand all data for advanced analytics.
Learn how to define and measure the TCO of data lake management for big data analytics
Businesses using data strategically are gaining competitive advantage over those that don't, but IT exec-staff disconnects threaten data’s impact on the bottom line.
TDWI’s data catalog report is essential reading to learn about modern data integration techniques so you can deliver accessible, timely data.
Learn best practices for implementing an intelligent data integration hub using automation and intelligence to orchestrate and govern the flow of data across the enterprise.
Three pillars of data management for positive business results
Business Intelligence & Analytics.
Discover how to Deliver a Digital Experience That Increases Engagement and Conversion
A CIO’s Practical Guide to Implementation
Follow these 10 best practices of application transformation to ensure your data stays clean, safe, and connected.
This paper discusses three key areas of focus for delivering the right data to enable customer centricity in financial services: Master data management for authoritative customer information; data quality for trusted and accurate business information; and cross-channel data integration for service consistency.
Health Data Management survey finds that effectively collecting healthcare data is not enough; decision makers require meaningful and trustworthy analytics. Learn more.