Home Point Financial: Becoming Data Driven with Cloud...
Learn moreAnchor your migration and modernization initiatives with a solid foundation of AI-powered, cloud-native data management that makes trusted data available to more users.
Individual data management tools tackle pieces of the cloud analytics modernization puzzle: data integration, quality, ingestion, metadata management. But stitching together multiple products is not just complex and expensive—it also increases the chance of inconsistent data governance and quality. Informatica provides enterprise-scale cloud data integration, data quality, and metadata management all in an integrated, end-to-end solution so you can speed ROI and first time to value.
Using manual efforts such as hand coding to solve data quality and data management challenges reduces your ability to adapt and innovate. Hand coding is complicated, expensive, and prevents you from reusing code as your infrastructure evolves and changes. Advanced metadata-driven artificial intelligence (AI) capabilities give you flexibility and speed: you can quickly build data pipelines to fuel your cloud data warehouse and data lake—and reuse your work across cloud platforms and processing engines.
Migrating cloud data warehouses and data lakes to the cloud means supporting multi-cloud environments—so you can future proof your cloud analytics from ever-changing cloud platforms and infrastructure. An independent, best-of-breed cloud data management solution with built-in automation capabilities helps you reduce complexity and time to market.
Provide real-time connectivity across cloud and on-premises enterprise applications to manage business processes.
Manage data and deliver a connected experience across cloud and on-premises environments.
Our customers drive their businesses forward with intelligent, automated approaches to cloud data warehouses and data lakes.