Cloud Transformation Solutions: Data Management & Migration
Reduce risks and optimize costs to accelerate cloud transformation
Business needs and requirements are rapidly evolving. To keep up with the pace of change and increase the speed of innovation, enterprises are moving to the cloud. Transitioning to cloud, however, is not simple. Alation accelerates cloud transformation by significantly reducing risks, improving cost optimization, making it easier to govern cloud data, and driving adoption by delivering trusted insights.
Accelerate Time to Market with a
Cloud-Enabled Data Catalog
PROACTIVELY MANAGE AND MITIGATE RISKS
ACCELERATE TIME TO MARKET
Data strategy drives cloud strategy
Successful cloud strategies start with data. Enterprises must start their move to the cloud by identifying which critical data assets to move to fuel business transformation. Alation supports hybrid, multi-cloud data strategies, providing enterprises with the flexibility and a single view of enterprise data across any location — both necessary for a seamless transition. Alation minimizes the risk that comes with cloud migration while also easing the disruption to data consumers.
Deep impact analysis
Alation gives enterprises a deep understanding of how moving applications and data to the cloud will affect the business and data consumers with deep impact analysis. Alation helps organizations to manage and mitigate risks and optimize their investment in cloud infrastructure.
Prioritize governance and compliance
Transitioning from on-premises to cloud changes how enterprise data is governed. Alation provides robust governance capabilities, including complete data lineage to understand data lifecycle; curation capabilities to improve understanding of data; quality and trust flags to foster trust in the cloud data; and stewardship capabilities for managing regulatory compliance.
Alation is a lens into how the business uses data and it will create new ways in which we can actually use it.
Senior Business Intelligence Specialist, Belong
Creating a data-driven organization requires the ability to share tribal knowledge and support collaboration between the producers and the consumers of data and analytics.