In-Depth
Video: Managing Storage Junk Drawers (Interview)
Digital Reef CEO Steve Akers explains the challenges confronting companies as they try to bring order to their storage junk drawers.
The name of Boxborough, MA-based data management software vendor Digital Reef may not ring a bell, but, if you are concerned about legal e-discovery or data classification, it is a name you will want to become familiar with.
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In this interview, recorded for the C-4 Summit Cyberspace Edition, CEO Steve Akers explains the challenges confronting companies as they try to bring order to their storage “junk drawer” -- especially with respect to “unstructured data” and end-user files.
In this segment, he describes the process by which data is discovered using Digital Reef’s “similarity engine” and how the process assures quality control and replicability. “Quality control is a key issue in data classification,” says Akers, especially when a data classification project is undertaken by team of individuals, each with his or her own biases and subjective interpretations.
To facilitate consistent classification, Digital Reef uses an algorithmic technique for finding and grouping documents. Akers says this is a huge improvement over the taxonomic approaches used by search engines, and stresses that his “deep blue math” approach to data discovery and classification is unique in its consideration of semantic variables.
Akers’ commentary is part of a multi-part presentation from Digital Reef that explores the challenges confronting companies seeking to implement information governance, legal discovery, and data management practices within their storage infrastructure. He makes a compelling case that Digital Reef has finally cracked the code for undertaking this effort in an efficient, affordable, and -- from the user perspective -- transparent manner. See the rest of the videos at the C-4 Summit Cyberspace Edition C-4 Project (www.c4project.org).
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