Data Retention
In today’s digital world, the vast amounts of data generated across industries are both a valuable asset and a potential risk. Effective data retention is no longer optional—it is a necessity.
Ai Smart Data Processing redefines how large enterprises manage their data by transforming Unstructured Data into Actionable Smart Data—data enriched with metadata about its creation, ownership, access, and value. This allows organizations to make informed decisions, improve operational efficiency, and dramatically reduce storage costs.
Introducing our Ai-Infused, Policy, Compliance, and Utilization Demand-Driven Router
Redefining Data Retention with our Data Router
Ai Smart Data Processing allows enterprises to implement tiered data storage by classifying and storing data based on value, access frequency, and cost.
With customized retention policies, businesses can optimize data management to align with compliance and security requirements while automating data retention and disposal.
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Customized Data Retention
Tailor retention policies to align with specific business needs, ensuring compliance and operational efficiency.
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Smart Data Disposal
Automate retention schedules, remove data that exceeds policy and eliminate Redundant, Obsolete, and Trivial (ROT) data.
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Legacy Data Preservation
Maintain access to historical data within legacy systems without burdening modern infrastructure.
For large enterprises, particularly in highly regulated sectors like banking, records management presents complex challenges. High volumes of data combined with strict regulatory demands make effective data management critical. Ai Smart Data Processing offers tailored solutions that:
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Enhanced Compliance
By ensuring that all data retention and deletion policies are compliant with industry regulations, Ai Smart Data Processing helps banks avoid penalties and legal issues.
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Cost Efficiency
Reducing unnecessary storage costs by eliminating ROT and optimizing data storage tiers results in significant cost savings.
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Operational Efficiency
Streamlining records management processes through automation and AI-driven insights improves overall operational efficiency.
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Risk Mitigation
Properly managing sensitive and valuable data reduces the risk of data breaches and other security vulnerabilities.
The Cost of Failing to Retain Data Properly
The recent AT&T data breach is a prime example of how failing to adhere to proper data retention policies can result in serious consequences. Retaining outdated, unnecessary customer data—long past its useful life—led to millions of sensitive records being exposed, triggering class-action lawsuits and reputational damage.
This breach highlights the importance of proactively managing and disposing of ROT data. With Ai Smart Data Processing, your enterprise can avoid these pitfalls by automating data retention policies, securely archiving necessary information, and eliminating obsolete data to reduce risk.