Digital White Papers

86 WWW.ILTANET.ORG | ILTA WHITE PAPER LITIGATION AND PRACTICE SUPPORT The New Path to Ediscovery Success: Business Intelligence copies of source data or as a side effect of data workflows. With intelligence about where all the data resides, ediscovery professionals can clean up unneeded copies of data. Some ediscovery service providers now offer cost models and tools that empower users to save money by managing their own data. A managed services subscription consumption model allows providers to deliver intelligence in near real-time, which empowers ediscovery professionals to monitor their data and make business decisions accordingly. Without BI on data footprint, most ediscovery professionals are in the dark about what copies of data can be removed to create cost savings. With BI, a clear picture emerges: Here, the Original Backup, Forensic and FTP may be duplicative copies of the data that could be discarded. Other silos may also contain data that becomes eligible for deletion as the project takes its course. BI on data footprint can comprehensively illustrate all volumes and flavors of an organization's data across every maer in each environment. From there, ediscovery professionals can collaborate with their service providers and use the intelligence to optimize workflows, tool stacks and consumption model architecture. Beer data management lowers infrastructure burdens on the provider, which allows reduced prices for their client. In addition, BI also promotes project consultation between provider and client that not only creates immediate savings on current projects but also creates workflow improvements that can pay dividends on future projects. Metrics for Defensibility While organizations are most interested in efficiency, discovery workflows also need to be defensible. Metrics are oen key to establishing processes that are not only efficient but proven to meet the project's goals. To obtain these metrics and evaluate the effectiveness of workflow strategies, discovery professionals oen must rely on a critical tool: sampling. Sampling involves a very simple concept: that "a few" can adequately represent "the many." Sampling has been deemed a sufficient measure in a variety of different circumstances, such as measuring patient health or determining how voters are leaning on a particular candidate or ballot measure. A properly designed sample of electronically stored information can likewise be sufficient for discovery purposes. In particular, ORIGINAL BACKUP 306 EXPORT 40 FORENSIC 45 PROECSSED DATA 327 REVIEW HOSTING 201 FTP 36 ANALYTICS 50 BI on data footprint can comprehensively illustrate all volumes and flavors of an organization's data across every matter in each environment.

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