Discovery of structured data isn’t new, but it presents new challenges these days. Here are best practices for handling it from Cimplifi!
In their post titled (wait for it!) Taming Modern Data Challenges: Structured Data (available here), Cimplifi discusses how discovery of structured data for litigation and investigations isn’t new, however, the proliferation of enterprise-wide database solutions and the storage of unstructured data formats in structured container files has redefined the challenges and best practices associated with it.
Structured data discovery isn’t necessary in every case, but it is not only becoming more common in litigation and investigations, but the evidence from those sources is often critical to the case. There are several types of cases likely to involve structured data, here’s one of them:
Employment litigation: Time records, payroll data, performance reviews, and attendance logs can help support or refute claims around discrimination, wage disputes, or retaliation.
So, what are four other types of cases likely to involve structured data? What are the skills needed to discover it? And what are the best practices for discovering it? Find out here, it’s just one click! The link is the structured approach to get the information you need! 😉
So, what do you think? How is your organization taming modern data challenges in eDiscovery? Please share any comments you might have or if you’d like to know more about a particular topic.
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