Published by: Marketwired
Audience of Top IT Executives Provides Ideal Venue for ZL Technologies’ Strategic and Visionary Approach Towards Information Governance
SAN JOSE, CA – Oct. 2, 2013 ZL Technologies, Inc., the leader in total information governance for the large enterprise, will be attending the Gartner Fall Symposium/ITxpo 2013 at Booth 716. The event, scheduled for October 6-10, will take place at the Walt Disney World Swan and Dolphin in Orlando, Florida.
ZL Technologies’ Visionary status in Gartner’s Magic Quadrant (MQ) for Enterprise Information Archiving makes it an ideal fit for the strategic focus of ITxpo’s core attendance of executive IT professionals. With a single-platform solution for total governance of all unstructured data types, the Unified Archive® (ZL UA) is a comprehensive and highly flexible environment which is extremely suited to the long-term business goals facing upper IT management. As the demands to harness “Big Data” continue to grow across business units, CIOs are increasingly faced with the immense challenge of controlling skyrocketing amounts of data for an increasing variety of interrelated needs.
The escalating desire to leverage unstructured information has made it clear that fragmented “silos” of data and their inevitable proliferation of duplicate material are no longer a sustainable way to handle data governance. In contrast to stand-alone point solutions, ZL UA was originally built to handle all enterprise unstructured data within elastic GRID-based architecture, allowing for full management of Archiving, Compliance, eDiscovery, Records Management, and storage from a single cross-functional platform.
A centralized approach towards information governance empowers ZL UA’s ability to aggregate data for powerful global search and analysis across the enterprise, a capability which is impossible in “siloed” systems. By developing industry-leading scalable infrastructure, ZL has had the distinct advantage of building analytics functionality directly within the existing data universe rather than relying on unwieldy export of data to stand-alone engines. This holistic view allows the enterprise to view data trends as they naturally emerge, as opposed to ad-hoc tools which demand a specific question to be presented for analysis. The ZL methodology opens the door for real-time unstructured data analytics capabilities which are currently desired by CIOs and business strategists, but rarely met by today’s available solutions.
