The operational cost of normalizing and mining human-generated data is significant and requires a sound strategic understanding of technologies and business goals.
As the analytics industry moves to address an explosion in machine-generated data, another opportunity is already here. Emails, texts, documents, and other unstructured human-generated data — and the metadata associated with them — deliver significant insight to businesses with the resources and will to mine them.
Taking control of human-generated data provides companies with a more complete understanding of their intellectual property, enables them to aggregate business intelligence for sharing with employees, and allows security professionals to identify and mitigate both casual and deliberate breaches of policy. However, the operational cost of normalizing and mining this data is significant and requires a sound strategic understanding of technologies and goals. This research report evaluates the opportunities and challenges associated with analyzing human-generated data. It examines early adoption in the risk management and governance use cases, and evaluates the potential impact of these analytics for other use cases and industries.