Storage Optimization and Life Cycle Management
Across Hybrid Cloud Infrastructure

The ever-expanding data deluge across hybrid cloud environments presents a daunting challenge: storage optimization and lifecycle management (LCM). Unmanaged data sprawl leads to wasted resources, skyrocketing storage costs, and compliance nightmares. Zubin tackles these issues head-on, empowering organizations to streamline storage, automate data governance, and gain valuable insights. Zubin, Data Dynamics’ AI-powered self-service unstructured data management software, is strategically aligned with industry trends to help you navigate the complexities of hybrid cloud storage management. It empowers you to harness the power of your data while keeping storage costs and security risks under control.

1Automated Data Classification and Policy-Driven Storage Tiering

Automated Data Classification and Policy-Driven Storage Tiering

Unclassified data makes it difficult to identify and store critical information efficiently. Manual data classification is time-consuming and error-prone. Additionally, organizations often lack a unified storage strategy across on-premises and cloud environments, leading to underutilized resources and wasted storage costs.

Cost Optimization & Data Governance with Zubin

Zubin automates data classification based on type, sensitivity, and access frequency. Intelligent storage tiering optimizes storage costs by placing frequently accessed data on high-performance storage and archiving less used data to cost-effective tiers. This ensures sensitive data is stored securely while maximizing resource utilization.

2Data Redundancy Elimination and Archival for Improved Efficiency

Data Redundancy Elimination and Archival for Improved Efficiency

Data sprawl leads to redundant, obsolete, and trivial (ROT) data consuming valuable storage space. Manual identification and deletion of redundant data is cumbersome and error-prone. Traditional archiving processes can be complex and hinder data accessibility.

Storage Efficiency & Data Accessibility with Zubin

Zubin’s advanced algorithms detect and eliminate duplicate data, reclaiming valuable storage space for critical information. To preserve data for compliance or historical purposes, Zubin offers intelligent archival, converting data into efficient formats while maintaining accessibility. This holistic approach to data management optimizes storage infrastructure, improves performance, and ensures data availability when needed.

3Automated Data Lifecycle Management with Retention Compliance

Automated Data Lifecycle Management with Retention Compliance

Manually managing data retention policies across hybrid cloud environments is complex and error-prone. Non-compliance with data retention regulations can lead to hefty fines.

Risk Mitigation & Regulatory Compliance with Zubin

Zubin’s automated lifecycle management simplifies this complexity by enforcing retention policies and executing actions based on data age and classification. By automating tasks like deletion, archiving, and migration, Zubin reduces the risk of non-compliance and frees up IT resources for strategic initiatives. This proactive approach to data management ensures data integrity, availability, and legal compliance.

4Self-Service Data Classification and Migration for Democratized Data Management

Self-Service Data Classification and Migration for Democratized Data Management

Complex data management processes and limited visibility into data storage locations can hinder business users from effectively managing their data. This can lead to data silos and hinder collaboration efforts.

Improved Data Governance & Collaboration with Zubin

Zubin’s data classification and self-service migration enable users to classify and migrate data without IT involvement. This fosters data ownership, improves collaboration, and accelerates time-to-value for data-driven initiatives. By breaking down data silos and democratizing data access, organizations can harness the full potential of their data assets.

5Data Usage & Traceability with Risk Insights for Enhanced Security

Data Usage & Traceability with Risk Insights for Enhanced Security

Lack of visibility into data usage across hybrid cloud environments makes it difficult to identify and mitigate security risks. Unclear data ownership can lead to confusion about access control responsibilities.

Data Security & Breach Prevention with Zubin

Zubin’s data usage tracking and risk insights provide a holistic view of data movement and potential vulnerabilities. By combining these capabilities with granular access controls, organizations can proactively identify and mitigate risks, protect sensitive data, and ensure compliance with regulatory mandates.

6Data Observability & Root Cause Analysis for Performance Optimization

Data Observability & Root Cause Analysis for Performance Optimization

Performance bottlenecks and data quality issues can hinder critical applications and analytics across hybrid cloud environments. Identifying the root cause of these issues can be time-consuming and complex.

Improved Data Quality & Efficiency with Zubin

Zubin’s data observability capabilities continuously monitor data pipelines, detecting anomalies and performance bottlenecks. Advanced root cause analysis pinpoints the underlying issues, enabling swift remediation. By ensuring data quality and optimal performance, organizations can make confident decisions, drive innovation, and maximize the value of their data assets.

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