Unstructured and unmanaged "dark data" occupies costly storage space and carries security risks for many organizations. Recommind's Axcelerate Data Management solution uses machine learning to automatically categorize this dark data based on its content and meaning. This helps organizations understand what data should be kept, migrated to different storage, or can be deleted, reducing information risks and storage costs. The solution leverages existing taxonomies and creates new ones, and its proven predictive governance processes provide a defensible method for data disposition.

1. DATASHEET
PULL BACK THE CURTAIN ON DARK DATA
Unstructured, unmanaged, uncategorized information – dark data, is a pervasive problem
for many organizations. Organizations find themselves considering what to do with huge
amounts of unmanaged data when they are:
• Dealing with discovery requests
• Responding to a regulatory information request
• Are faced with security concerns like IP or PII leakage
• Considering data migrations due to application retirement or data center relocation
• Involved with a merger or acquisition
• Selling off part of their operations - business divestiture
This mostly unmanaged and abandoned information occupies costly storage space,
consumes IT resources, carries security risks (PII, PHI, IP), drives up the cost of eDiscovery,
and reduces employee productivity. The majority of this dark data resides on unmanaged
file shares. To bring this dark data under control, you have to take positive steps to find it,
analyze it, and act on it.
INTELLIGENT INFORMATION GOVERNANCE
Analyze and categorize file system data to discover what you
have; what you should dispose of and what you should keep
ACCURATE, AUTOMATED CATEGORIZATION BASED ON CONTENT’S
MEANING
The second phase is to analyze and classify the remaining dark data based on specific
content or meaning utilizing predictive technologies and machine learning; what should
be kept for legal or regulatory requirements (records), what data can be migrated to other
storage tiers or repositories, and what data can be defensibly disposed of because it has
little or no business value.
Using Recommind’s powerful categorization engine, organizations can dramatically
reduce the time and effort needed to organize, tag and manage large amounts of
unstructured content. Axcelerate Data Management can leverage existing taxonomies
where appropriate, adds additional intelligence to existing categories, and automatically
creates new categories based on content meaning.
ACCURATE, AUTOMATED FILE SYSTEM ANALYSIS AND REMEDIATION
The first phase in getting your arms around your dark data is to actually find it, index it
and “clean it up” (remediation). Clean-up involves finding and removing duplicates and
obviously non-business related data such as MP3s and other personal files and finding and
securing PII and PHI by moving it to more appropriate storage locations.
Axcelerate Data Management leverages Smart Filters that analyze content meta data to
automatically categorize content by common categories such as industry, entity, date,
”common phrases”, files that includes sensitive content like PII and PHI or even duplicate
files. This level of automation provides IT with the ability to quickly analyze and tag huge
quantities of file system data, based on common groupings without sacrificing accuracy.
Ed Walker,
General Counsel,
Wolseley Group
“The Recommind solution was
chosen for two main reasons:
the power of its technology and
a userfriendly interface requiring
minimal training to get results. In
most cases 20 minutes training
from an existing user is all that is
required.”
WHY RECOMMIND?

2. PROVEN MACHINE LEARNING AND ITERATIVE TRAINING
Recommind’s patented Predictive Governance processes are based on our unique
technology and utilize a defensible workflow to conduct automated categorization
and coding. Based on years of experience with Predictive Coding, this proven process
is recognized by the courts as an accurate, defensible process. The Iterative machine
learning process enables real-time, accurate categorization of vast amounts of
unstructured data.
DEFENSIBLE DISPOSITION
Many organizations simply don’t know what information should be kept for business use,
records management, and compliance or eDiscovery purposes so they end up keeping
everything. With its ability to accurately locate content and determine whether it should
be kept and for how long, Axcelerate Data Management gives organizations the powerful
ability to defensibly delete useless or valueless data resulting in lower information risk
and huge cost savings from streamlined storage and data center optimization.
PART OF AN END-TO-END EDISCOVERY PLATFORM
By adopting Axcelerate Data Management, organizations arm themselves with the
industry’s first and only end-to-end eDiscovery platform – from comprehensive
information management to collection, processing, review, analysis and production. This
unique approach enables the legal review and analysis of unstructured data without the
need to re-ingest into other systems, thus reducing risk by avoiding unnecessary hand-
offs between systems.
MAXIMIZE SHAREPOINT INVESTMENTS
With Axcelerate Data Management, organizations can cleanse and categorize data before
it is entered into SharePoint, making information far more usable and actionable across
the organization. With more accurate and comprehensive search results, SharePoint
installations and upgrades will prove far more beneficial and meaningful for users.
HOW AXCELERATE DATA MANAGEMENT WORKS
Axcelerate Data Management actively crawls and indexes content from any source,
including file shares, document management systems, intranets, web sites, CRM
applications, databases or file systems. Based on the content, documents are associated
with one or more categories such as topics, document types, geographic locations,
industries, and tagged as such enriching the document’s metadata. Axcelerate Data
Management is able to perform automated categorization of new documents based on
a training set using positive and negative sample documents, and can be augmented by
user-defined rules.
Using Axcelerate Data Management, an organization can develop a taxonomy based on
file structures or information contained in a document collection. As documents change
and new documents are added, Axcelerate Data Management incrementally finds and
tags them automatically.
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