The ability to quickly explore data is critical for organizations in today’s context of infobesity and immediacy.
Without this ability, it is almost impossible for the manager to be aware of and to analyze all the data in his possession while many of these data could be useful and strategic for the enterprise’s development.
Cikisi’s Web Monitoring platform includes an exploration module [EXPLORE]. This module provides multiple data visualizations components, making it possible to highlight information hitherto undetectable.
Our data vizualisation components benefit from the “Smart Data”
extraction process established by our AI algorithms using:
Detect trends, weak signals and abnormal events by aggregating contents and calculating over time occurrences, averages and standard deviations.
Identify named entities and keywords in a text and link them to a knowledge base, allowing content to be linked to others in-context.
Assign geographic coordinates (longitude / latitude) to an identified location within in order to be able to.
Auto-tagging/classification of content using an auto-learning model*, analyzes images** to identify a person, an object or a logo.
* Available with Cikisi WMT 2.0
** Available on-demand
Filtering by source category, language or country, depending on the textual content of the documents (simple or boolean queries that may involve lexical concepts), according to the metadata associated with each document (date, named entities, classification, geographic coordinates, etc.)
View documents using the visualizations available within Cikisi’s EXPLORE module.
Discover the key elements (relationships, keywords, named entities, etc.) within them and use these elements as additional filters.
Use the discovered documents.
Visualize absolute or relative trends in terms of occurrence or virality
Browse the most cited words or named entities
Locate on a geographical map as a function of time. Identify areas of concentration and singularities
Discover the concepts related to each other and the strength of these links
Determine what the source statistics are
Explore links between named entities (people, organizations, locations)
Be aware of major trends and identify weak signals