The proliferation of data sources is more apparent than ever and so too is the uncontrollable, rising volumes organizations are struggling to keep up with. Not only are the waters murky but they continue to rise, and it can be quite intimidating as organizations try to put the right people, process and technology in place. This proliferation has led to inefficiencies in eDiscovery, as well as other areas of the business. In order to cope with the influx of data, organizations need to adopt strategies that will help them manage and process the data more effectively.
eDiscovery and Investigations teams have long been relying on tools, scripts and various methods – essentially anything they can get their hands on – to keep up with the demands. Of course, the results need to be trusted and adding efficiencies is always a nice to have. One such strategy is to use data discovery tools to search for specific data sets. This will allow organizations to identify and extract the information they need quickly and efficiently. Additionally, using artificial intelligence (AI) can help identify patterns in large data sets that would otherwise be difficult to see. By doing this, organizations can eliminate duplicative efforts, reduce time spent on manual tasks, and improve efficiency overall.
A common pain point for most organizations is gathering the correct information that is then consumed by their data discovery tools. It is absolutely fantastic to have capable tools that can process data with lightning speeds, and tools that can visualize data in their near-native format, but all of these tools are only as useful as the data that is collected. An equally important strategy for organizations to consider is how they can efficiently and effectively gather all, not just some, of the necessary data sources with the same consistent filters like date ranges and keywords. Some organizations have found ways to address these pain points using various tools and scripts but just how reliable and defensible are these? Wouldn’t it behoove your business users and technical users to own the entire workflow from a single source of truth? Wouldn’t it be great to avoid having your teams performing the same repetitive approach umpteen times for each data source, each time increasing the risk of error or rework? Wouldn’t it be ideal to streamline these tasks into a single-click that can drastically reduce the time it takes to make data review ready?
Overall, data proliferation presents a major challenge for organizations. Responding eDiscovery and Investigations teams can harness news ways to do things better, faster, and cheaper without sacrificing work product and defensibility – all while addressing these rapidly increase sources and volumes. This may sound too good to be true … it may seem like an unlikely unicorn barely visible across the rising, murky waters … but that unicorn does exist, and it can help your teams put the right strategies in place to preserve, collect, manage, process, review, and produce your data. Why not truly OWN this process?
Check out www.ligl.io to learn more about how you can help your organization simplify and streamline your data discovery process.
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