SAN JOSE, CA — (Marketwired) — 10/16/13 — (ZL), a global leader in unstructured Big Data management for the large enterprise, has announced a groundbreaking expansion of native social media analytics functionality within the Unified Archive® (ZL UA). In a market overwhelmed by standalone analytics engines, the ZL UA platform remains unique as a comprehensive governance environment, in which social media analytics capabilities are built directly into existing information management architecture.
Development of social analytics offers a direct response to rising demands for quantification of corporate social media ROI. Marketing units are gaining more discretion over IT spending, and there is subsequent pressure to leverage existing infrastructure in achieving multiple business objectives. The Unified Archive® is the embodiment of this consolidated approach, allowing a single, elastic repository to ingest and control unstructured data for compliance, eDiscovery, records management, storage, and analytics purposes. With corporate social media archiving already long established for Facebook, Twitter, and LinkedIn content, ZL UA now offers sophisticated analytics tools to further extract value from existing data sources.
The single-platform approach opens the door for revolutionary real-time application of information that would be impossible with cumbersome third-party tools or data silos. Aside from generating basic descriptive metrics, ZL UA applies best-of-breed natural language processing (NLP) and semantic analysis to deliver deep understanding of consumer attitudes, product reach, and influence in the follower community.
The ZL UA social media analysis capabilities include several key features:
Graphical reports detailing interaction metrics for the corporate account are auto-generated as frequently as desired, allowing for highly responsive content management
Language-based analysis of posts tagging the official brand account are analyzed and weighted based on emotional content, giving a time-sensitive view of public perceptions
Posts tagged with the corporate brand are analyzed for sentiment in subsequent comment threads, gauging the original poster-s influence and engagement among peers
Popular topics, tags, themes, and names associated with the corporate account are pinpointed and charted based on sentiment
Brand activity of both fans and critics is easily mapped at regional and global levels
All analytics options can also be applied to past archived social media, providing a retrospective view in order to hone future digital strategies
“When used in isolation, descriptive statistics are overly simplistic and can lead to misinterpretation of social content,” said Arvind Srinivasan, CTO of ZL Technologies. “We-ve moved far beyond basic tallies of followers and -likes- to provide a deeper perspective of the emotional context that defines social media interaction. With real-time analytics performed in the same platform as data archiving, the enterprise can now view its social activity as the living ecosystem it truly is, rather than as a static snapshot.”
ZL Technologies, Inc. makes Unified Archive® software (“ZL UA”) to enable large enterprises to manage all unstructured content such as e-mail and files, to satisfy corporate archiving needs for e-Discovery, records management, regulatory compliance, corporate governance, and storage management. It also enables the same unstructured content to become the organization-s Corporate eMemory for competitive advantage, such as sharing knowledge, experts, and history across the enterprise. ZL UA-s unique differentiator is its unified architecture, which consolidates all applications and billions of documents under one platform, thus eliminating today-s fractured data silos which significantly raise operating costs and legal risks. Demonstrating a proven track record with Global 500 customers and strategic partnerships with major players such as Oracle, Unisys, and SunGard, ZL has emerged as the technology leader in harnessing unstructured “Big Data” for strategic advantage. For more information, please visit
Maya Pattison
781-894-1739
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