$7.5M Annual TCO Saved via Dark Data Lifecycle Management for a Top 5 Healthcare Services Company
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Business Need
Mitigating Data Sprawl and Enhancing Data Understanding
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Data Lifecycle Management: Implementing a comprehensive data lifecycle management strategy to streamline data accessibility, security, and management.
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Risk Mitigation: Addressing the business and IT risks resulting from uncontrolled data sprawl and management challenges.
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Dark Data Management: Identifying and managing dark data to optimize storage costs.
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File Data Storage Optimization: Optimizing file data storage to ensure efficient resource utilization.
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Challenges Faced
Navigating Unstructured Data Growth and Dark Data Dilemmas
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Unstructured Data Growth and Sprawl: The rapid growth of unstructured data led to significant business and IT risks, putting a strain on production, backup, and high availability systems.
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Risk Exposure: Non-critical data managed as critical data resulted in potential legal and compliance risks.
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Lack of Data Understanding: Inefficient data understanding and lifecycle management hampered data optimization efforts.
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Dark Data Proliferation: A substantial portion of data, older than 5 years and not in use, contributed to storage bloat, with orphaned files making up the majority – ⅓ of Storage was for files untouched for 5 Years and ⅘ of files were orphaned
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Solution Offered
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Metadata Analytics and File-Level Tagging
Data Dynamics conducted a robust metadata scan and file-level tagging process, providing deep insights into each file. This enabled efficient data classification and organization based on content, age, and relevance, optimizing data management strategies.
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File to Cloud Object Archiving
Data Dynamics seamlessly offered file-to-cloud object archiving, addressing unstructured data growth and sprawl. Intelligent migration and storage of data on cost-effective cloud-based object storage systems optimized resources and significantly reduced storage costs.
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Replication
The software’s file-to-file synchronization ensured up-to-date data across storage systems, promoting streamlined accessibility and security. Consistent data mitigated risks related to outdated or inconsistent information
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Data-Driven Migration
Data Dynamics’ software facilitated seamless and automated file-to-file data migration between storage vendors and tiers, optimizing utilization and resource management while ensuring data security during migration
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APIs for Business Process Integration
Integration-ready APIs fostered smooth collaboration with existing business processes, enabling seamless data exchange between the platform and other data management tools, enhancing overall efficiency and fostering a unified data ecosystem
Business Impact
Enhanced Data Understanding: Data Dynamics’ robust file metadata discovery and classification provided clear insights into the company’s data, enabling more informed data management decisions.
Dark Data Identification: Identification of dark data streamlined data optimization efforts, mitigating potential risks associated with obsolete information.
Annual Savings – $7.5 Million: By implementing optimized data storage strategies, the company achieved an astounding annual savings of $7.5 million.
Accelerated DC Consolidation: Data center consolidation efforts were expedited through streamlined data management processes.