Storage-agnostic unstructured data management has been a key enabler to save $550,000, accelerate data movement and protect sensitive data at global financial services leader.
As this global financial services leader further modernizes its environment to the cloud and through building AI into its product portfolio, storage-agnostic unstructured data management has been a key enabler to save $550,000, accelerate data movement and protect sensitive data.
A London-based global company providing insurance brokerage and risk management services on every continent has been on a multi-year journey to move its vast IT infrastructure to the cloud. The IT team needed to efficiently migrate data off legacy storage solutions and into Microsoft Azure with low risk. They then wanted to tier cold data from the remaining on-premises file data store on NetApp to Azure, for additional cost savings and cloud acceleration.
Read this case study to learn about the IT organization’s implementation of Komprise Elastic Data Migration to launch its legacy storage migration project for Azure and later expansion to Intelligent Data Management for cold data tiering and ongoing data lifecycle management.
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