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Efficient storage of emails and attachments is recognized as one of the biggest challenges facing IT departments today. This white paper outlines how an email archiving solution can help reduce storage requirements and meet compliance regulations.
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This informative guide addresses common questions legal teams have about predictive technologies, and showcases how real-world users are taking advantage of these new capabilities.
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This informative white paper describes the role of proportionality in today's collection practices, as well as the 5 best practices for defensibly reducing electronically stored information (ESI) collections.
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This IT buyer's guide dives into eDiscovery software requirements by highlighting the capabilities commonly needed by IT teams and how a web-based legal process management software suite meets these requirements.
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Email archiving is critical to providing archive, search and retrieval options for compliance and discovery mandates. Download this white paper for tips on selecting and implementing an appropriate and effective archive system.
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Microsoft Exchange Server is a powerful enterprise messaging tool that has proven to be very successful over the years. This white paper, sponsored by Sherpa Software, outlines the various archiving and eDiscovery features in Exchange 2010, examines how they work, and discusses various limitations in their deployment.
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Use this expert paper to help deconstruct unstructured data. Learn why flexibility and value are the best answers for uncontrolled growth, and how to manage unstructured data through an optimized storage infrastructure.
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This whitepaper considers the importance of building operations data, and how tapping this information for deep insights can help reduce overhead cost. Access now for details.
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The following white paper profiles a scale-out, open source object-based storage software solution and the benefits it provides for businesses looking for a middle road when integrating data.
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This resource explores how businesses big and small are navigating the challenges of a big data 2.0 world, and explains how predictive analytics can turn big data into business value.
