Analytics – Multidimensional Insight with Predictive Coding (TAR)
Given the vast amount of data in today’s technology-rich environment, in areas such as enterprise Information Governance/Compliance and litigation, the market demands a way to sort through it all – to quickly organize and surface the most important information and gain better understanding of the nature and content of enterprise data and large litigation data sets. Organizations want to move beyond scattered silos of information and haphazard organizational and compliance processes. Litigators demand ways to determine the nature and content of data “early on” – for planning and budget purposes, and to better evaluate strengths and weaknesses of the case.
eZAnalytics engine is the data analysis engine powering Capital Novus’ solutions. It expedites mining of critical information from terabytes of data, providing for comprehensive multidimensional analysis of data content. Offering both supervised and unsupervised machine learning tools, eZAnalytics engine is a complete TAR solution for data analysis. Automated Document Profiling (ADP), Capital Novus’ predictive coding technology, provides a convenient, intuitive workflow to automatically code, qualify, prioritize or quality assess a review data set based on supervised learning methodologies. Unsupervised learning, including domain analysis, communication threads, case clusters, key phrases, near duplicates and entity identification provide additional multidimensional insights. eZAnalytics engine can perform data analysis on a micro or macro level, over the entire enterprise network of an organization and at any stage of the eDiscovery lifecycle – to expedite and provide actionable insight for critical decision making.
A Content Intelligence and Data Mining Engine