Data Analytics

Gain valuable insights and make informed decisions!

Data is everywhere, and it is getting multiplied at lightning speed. It is high time to use best-in-class technology to drive meaningful outcomes from available data.

When dealing with high-volume eDiscovery cases, traditional approaches are not promising anymore.

Knovos data analytics technology has plenty of options to dissect data revealing different connections and insights. It provides deep content intelligence, delivering the insight necessary to improve critical business operations and accelerate the eDiscovery process. Our data analytics solution boosts supervised and unsupervised machine-learning methodologies, enabling document review teams to prioritize, categorize, or qualify documents for discovery.

Connect the dots with the solution’s ability to connect key people, key phrases, and organizations in a visually appealing manner

Solution Capabilities

PII Analytics

Makes document review hassle-free with an easy categorization of Personally Identifiable Information (PII)

Email Thread Analytics

Arranges entire email conversations in sequence, evading irrelevant emails in a thread. Also, Extract the Subject, Body, and Signature of the email with Email HSD

Content Analytics

Quickly identify documents with similar conceptual content with Repeated Content Identification

Key Phrase Analytics

Finds the relevant key terms in documents that are often used and analyses the selected data set for specific searches

Image Analytics

Find similar or identical images for a particular image search, and image categorization identifies the type of images within the system, such as contracts, bank statements, Cheque, and more

Fuse Analytics

Analyze various entities like Custodians, Doc-types, Domains, Entities, Key phrases, Clusters, Most Communications, and Timeline to give relevant results

Communication Analytics

Get a comprehensive view of emails sent and received between different senders and receivers.

Name Normalization

Compare a person's name, location, organization, and/or Domain across databases and finds entities that have the same phonetic sound, spelling, and variations