Digital White Papers

LEVERAGING BIG DATA FOR LITIGATION READINESS AND E-DISCOVERY SUCCESS across all storage platforms, including email servers, networks, desktops and even legacy backup tapes. In addition, the data profile can include full-text indexing, which allows for queries on content such as email exchanges containing sensitive keywords tied into a harassment lawsuit or proactive personally identifiable information (PII) audits. Auditing capabilities can show where high-risk content is stored and who creates it. From there, a policy can be created to address the issue. production, they might want to archive the design records. This content would otherwise be scattered throughout the infrastructure, making it complex to find. With data profiling using metadata and content keywords, content can be classified, moved off the network and preserved in Using data profiling, relevant content can be identified quickly. The functionality is similar to an Internet search engine (i.e., enter what needs to be found, and a list matching those criteria is produced no matter where the information is located within the enterprise). Many organizations an archive. Not doing this can result in significant liabilities and costly e-discovery when potential lawsuits arise. have found data profiling reduces e-discovery costs and simplifies the process of supporting litigation with the evidence they require. MITIGATING RISKS For readiness, data profiling can be used to audit for highly sensitive data, to dispose of what no longer has business value — which makes it a risk — and to set policy in order to control long-term liability. If legal and compliance do not have a solid policy with respect to user content (what is saved and where it is stored), data profiling sheds light on this content and helps define or refine polices. Without this knowledge and corresponding policies in place, big data may grow at an otherwise uncontrollable pace. Data profiling also allows for the classification and archiving of project data. When an organization — for example, a manufacturer — has completed a project, and the product has moved into REACTIONARY MANAGEMENT For e-discovery purposes, data profiling allows information to be identified, collected, searched, deduplicated, culled and reviewed in less time than it would take to locate the data using traditional methods. Another powerful example of data profiling in e-discovery is for early data assessment. If, for example, a harassment lawsuit is threatened, a data profile can help with the collection and review of relevant email messages, so strategies can be determined swiftly. In cases where the parties involved in pending litigation have deleted correspondence from the email server, data profiling

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