White Papers Deriving Business Value from Big Data using Sentim | Page 5

A ComTechAdvisory Whitepaper

Deriving Business Value from Big Data using Sentiment analysis

GENIC DATAIQ
Genic DataiQ is a Real-time powerful charting and analytical application designed for commodity market analysts,
traders, procurement managers and researchers that is available on premise or in the cloud. The tool offers a host
of tools to get to grips with data and derive business value including;
/ Real-time collaboration allowing users to share and collaborate any part of the onscreen analysis or reporting,
/ Publishing of lockable desktops and reports to internal
and external parties,
/ Powerful search using free-form ‘google-like’ searching,
/ Intelligent drawing tools to focus on trends and patterns
in the data,
/E
 xcel add-in allowing access to all data and derived data
via Excel.

It also supports multi-currency and cross-commodity comparisons and multiple data types including time-series, curves,
options, matrices, unstructured data and more.

It is within the context of the GeniciQ tools that DataGenic has
applied machine learning models to provide the ability to analyse thousands of news and social media feeds including Twitter to determine market sentiment across commodities.
GeniciQ is a collaborative set of tools that are designed to allow the benefits of ‘big data’ in the commodities industry to be
captured. It is a leap forward in terms of technology and the
use of advanced data management, visualization and analysis.
The inclusion of sentiment analysis and usage of social media
potentially brings the commodities trading industry mining of
data capabilities closer to that of other industries such as financial services. It is in many respects a tool that can help the
industry answer to the question posed at the beginning of this
paper – how?

© Commodity Technology Advisory LLC, 2015, All Rights Reserved.