Analysis and Migration of 200 TB of Data to the Cloud Resulted in Reduced Storage Costs as a Result of an Exit from the Data Center

for a Fortune 100 Multinational Beverage Co-operation

Business Need

Business Need

  • Getting data insight (metadata) into file share environment
  • Drive data storage cost improvements
  • Consolidate data centers to the cloud
  • Data storage optimization
  • Mitigating risk resulting from Data Sprawl
Challenges Faced

Challenges Faced

  • Unstructured Data Growth and Sprawl
    • A dark data sprawl residing across multiple datacenters located across different locations in Europe
    • Dark Data (Older than 8 years, not used)
  • Increasing storage costs due to lack of unstructured data storage optimization
  • High maintenance cost of the old data systems
  • Risks in moving from legacy infrastructure to the new platform
  • Inability to leverage the data due to the lack of centralized data management, interoperability, and efficient data sharing & access
Solution Offered

Solution Offered

Data Dynamics collaborated with one of its leading partners Kyndryl and implemented its award-winning product StorageX to deliver the following capabilities:

  • Meta-data analysis
    • Use AI/ML to classify data
    • Intelligent identification of cold and hot data
    • Metadata analysis for storage optimization
    • Scan 10s of billions of files
  • Mobility
    • Use of automated policy-driven capabilities of StorageX to migrate data across different storage vendors and tiers
    • Migration of data from EMC VNX Storage to IBM cloud thereby exiting 3 on-premise data centers
Business Impact

Business Impact

  • Identified dark data for storage optimization
    • Meta-data analysis of 200 TB of data let to the discovery of 40 TB of dark data that was not relevant anymore
    • Deletion of this 40TB of data led to direct data storage cost saving up to 20%
  • On-premise data center exits located at multiple locations in Europe resulted in reduced storage costs
  • With a big bang migration, 160TB of data were transferred to the IBM cloud at a lower cost, with less complexity, and in less time.