Enterprise Archive (EAS) delivers industry-leading information governance for the entire enterprise. Data from across an organization can be rapidly searched, preserved, and managed through its entire lifecycle, using updated features designed to meet today's litigation and regulatory obligations. And EAS takes archiving further by combining the power of a sophisticated granular disposition policy engine with flexible storage management. 

Archiving has evolved from a tactical IT need to optimize email storage into a corporate requirement for a proactive information governance and risk management. EAS is an enterprise-grade, scalable and comprehensive archive software solution, bringing order to information chaos by putting you in control of your data. 

EAS is a complete information governance solution. EAS includes modules for electronic discovery, compliance, dark data analysis, and audio-video, with connectors to all core enterprise technologies and systems. Gone are the days when separate manual searches are needed to query multiple data repositories across an organization. 

EAS benefits from HP's Intelligent Data Operating Layer (IDOL) search technology, the market-leading enterprise information processing platform that uses Meaning Based Computing technology to form a conceptual and contextual understanding of over 400 file formats. 

Responding to investigations and lawsuits has never been easier with the enhanced discovery capabilities of EAS. EAS Discovery handles critical discovery capabilities including legal and holds any early case assessments (ECA). And EAS is one of the first archive solutions on the market to be fully compatible with the new proportionality and other obligations found in the 2015 Federal Rules of Civil Procedure (FRCP) amendments. Legal teams can develop smart discovery strategies by quickly assessing discovery search parameters with sophisticated analysis and reports on discovery volumes and associated costs. 

EAS delivers sophisticated compliance and supervision capabilities for regulated firms, registered investment advisers, and individuals and organizations facing challenging regulatory obligations. EAS includes automated policy enforcement enabling regulated organizations to enforce supervision and related record-keeping and data preservation obligations. The EAS supervision module supports streamlined compliance review with customized email supervision policies and audit trails for compliance with FINRA, SEC and other regulatory agencies. EAS supervisor also features concept searching, automatic categorization, case management, and real-time and post-process monitoring. With EAS, organizations can proactively enforce and monitor users' adherence to a wide range of regulations and policies.

EAS provides end-to-end data life-cycle management, giving you granular control over the birth, life, and death of data governed by EAS. EAS eliminates data silos with connectors to all of the systems common in today's corporate environment, including traditional repositories as well as new cloud and social media technologies. Fulfill challenging EU privacy regulations as well as records management needs with the enhanced capabilities and flexibility found only with EAS.

The formula-based policy editor provides unsurpassed control over data's life-cycle. Use a wizard-drive policy editor option for ease-of-use or create highly advanced policies using a scripting option built directly into the policy editor. Policies can be as simple as a single universal policy governing all data or as complex as dozens or hundreds of discrete policies to support even the most complex data retention schedules. 

With EAS DATA LIGHT, uncover and gain access and control over data collections which otherwise are unmanaged or otherwise inaccessible. Bring into the light and make searchable file shares, unorganized repositories and corporate dumping grounds of electronic content. With the many technology connectors available with EAS, crawl and extend management control over those data collections. Enable defensible disposition of large quantities of data using automated, rule-based categorization and tagging.