ZL Technologies Uncovers Innovative Analytics Functionality with ZL Enterprise Analytics
SAN JOSE, CA: ZL Technologies announces the general availability of its new analytics product, ZL Enterprise Analytics, which introduces robust analytics capabilities into ZL's Unified Archive big data governance platform. ZL Enterprise Analytics delivers strong and immediate 360 degree insight for a vast selection of data types, across the entire organization by building structured and unstructured analytics potentials straight within singular data management architecture. Both existing information governance needs and demand for best-of-breed analytics are addressed with this approach.
The ZL ecosystem brings forth analytics that are reflective of the real-time, living enterprise rather than outdated snapshots of data. The unified approach eliminates data silos, providing a fluid and massively-scalable environment in which problematic barriers to analysis are abolished. Data movement, sampling biases, lag time, outdated copies, and missing content are no longer a problem when utilizing ZL EA, as the Unified Archive provides a consolidated pool of single data copies that can be seamlessly accessed and analyzed with a click. The result is a powerful platform that can merge and manipulate data types at massive scale and speed, all while maintaining data within its original governance framework.
ZL Enterprise Analytics takes an integrative approach to data types, discarding outdated divisions between unstructured and structured content. It allows merging and cross-analysis of three major but previously-segregated data categories:
People Data: Leverage the vast trove of human communication. Analyze emails, files, calendar entries, file shares, MS SharePoint, mobile messaging, enterprise IM, social media, Bloomberg, voice logs, ECM content, and much more.
Business Data: Pull in data from dedicated business tools for better insight. Ingest and manipulate content from Customer Relationship Management (CRM) platforms, Enterprise Resource Planning (ERP) systems, and SaaS-based applications.
Machine Data: Correlate machine-generated data with the wider world of business and people-derived information. Manage and analyze log events from websites, critical applications, servers, and devices.
Leveraging these three data types in concert provides synergistic insight, allowing the enterprise to pin down patterns and associations that would have gone undetected earlier. The ZL EA contextualizes formerly isolated data sources, allowing different data streams to give powerful interpretive context to each other. This result is an analytics platform that makes data access easier.
" This truly holistic analytics approach merges People Data, Business Data, and Machine Data for a big-picture perspective that is unavailable in most of today's myopic analytics tools," notes Kon Leong, CEO of ZL Technologies on the lunch of the solution.