EDITOR ’ S QUESTION
STEVE LEEPER , VP OF PRODUCT MARKETING , DATADOBI
In the years to come , unstructured data will take its rightful inarguable place as every organization ’ s most valuable knowledge resource – and consequently , source of competitive advantage . Likewise , the ability to find , control , manage and protect it will become priority # 1 for those in the data center to the C-suite .
Unfortunately , unstructured data may also contain a multitude of risks that must be dealt with . These risks include :
• Regulations Compliance – Managing unstructured data in regulated industries is complex and challenging – each sector has its own specific rules . The consequences of non-compliance can be severe – including hefty fines , reputational damage and legal issues
• Orphaned Data – Former employees leave behind large amounts of unstructured data , contributing to the growing data volume expected to reach 175 zettabytes by 2025 , much of which is orphaned with no owner and no association with any business area – posing significant security , compliance , operational and reputational risks
• “ Illegal ” Data – Includes any non-businessrelated content that should not be stored on corporate storage systems – can enter corporate networks through the proliferation of unstructured data and personal device usage .
• WORM Data – WORM ( Write Once , Read Many ) data storage ensures data can be written only once and read multiple times without being modified . This storage method is used to maintain important records in an unaltered state for compliance with regulations . WORM data should be stored for the required period of time but not longer .
• Full Insights – comprehensive visibility into a data landscape , illuminating everything from ownership to activity levels
• Customizable Dashboards and Reporting – fully customizable dashboards for monitoring and reporting , providing insights into compliance status , data health and operational efficiency
• Data Organization – organizes data efficiently , tagging and classifying it according to business and legal requirements
• Policy-Based Data Movement – facilitates archival , cleanup and other data management actions based on predefined policies – ensuring ongoing compliance with industry regulations
• Advanced Integrity Protection ( AIP ) – Crucial for industries where data breaches can lead to significant legal and financial penalties
• Vendor Agnostic Support – operates across heterogeneous storage systems and clouds – ensuring optimal capabilities , protection and security – as well as vendor lock-in avoidance , cost-efficiency and maximum ROI .
To overcome these and other risks , an organization must seek a solution ( s ) that provide :
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