In the age of big data, the typical organization's huge storage volume of structured and unstructured data complicates...
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information governance processes. This includes e-discovery management: Businesses often struggle with what data must be kept for litigation and regulatory purposes, as well as deciding what information can be destroyed so it doesn't end up becoming an issue later on.
Many businesses have had to completely rework information management and e-discovery strategies to adapt. The trouble is most stored data is never needed for litigation purposes, making quick e-discovery of relevant legal information difficult. As businesses try to ensure their information systems and processes can produce relevant legal information, it strains company resources and increases costs.
In the latest SearchCompliance #GRCchat, we asked participants to discuss their opinions on the biggest big data discovery challenges facing organizations today:
The response from participants was almost unanimous: The sheer amount of big data for which the average business is responsible makes e-discovery management a daunting proposition.
To overcome these information governance obstacles, strict data and e-discovery management policies are a must to avoid legal and regulatory hassles. The problem is that most organizations don't have such policies, and the ones that do don't go far enough. This lack of policy only creates more questions (and associated legal issues) about who exactly is responsible to govern specific company information, according to #GRCchat participants.
A2 Effective big data e-discovery will also be heavily reliant on solid info management strategy – big part of e-discovery game #GRCChat— Ben Cole (@BenjaminCole11) August 21, 2014
A1 Immature data governance tools/policies complicate things further- biz must adapt info gov due to generation/storage of big data #GRCchat— Ben Cole (@BenjaminCole11) August 21, 2014
But what, exactly, should that policy include to ensure effective e-discovery of various big data sources? Data classification and rock solid data retention schedules are vital to make sure information is quickly discoverable when needed for a legal case, according to #GRCchat participants.
A2 Data classification is key– Must clearly define what data is so it can be recovered quickly if needed for ediscovery/litigation #GRCChat— Ben Cole (@BenjaminCole11) August 21, 2014
A2 Retention/deletion schedules are huge- GET RID of any irrelevant data so it can't come back to bite you legally later on #GRCchat— Ben Cole (@BenjaminCole11) August 21, 2014
How do you think big data has complicated e-discovery management for modern businesses and how can companies overcome these obstacles? Join the discussion by adding your opinion here, or by using the #GRCchat hashtag on Twitter.
For more coverage of this month's #GRCchat, follow @ITCompliance on Twitter and read our recaps on how big data is influencing e-discovery and information governance.