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Attensity Updates Its Attensity Q Data Solution
Attensity Q drives proactive discovery by detecting emerging themes in data and automatically composing and filtering queries and detecting spam.
Posted Nov 13, 2014
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Attensity, a provider of solutions to surface business intelligence through real-time discovery, has enhanced its Attensity Q solution with new features that enable automatic profiling and detection of the unknowns and emerging themes in real-time data.

Attensity Q proactively constructs context, customizes topic and vocabulary creation, and filters out spam to provide insight into trends and themes that can be turned into competitive advantage. Attensity Q automatically surfaces emerging themes, trends, anomalies, and events around a main topic by allowing organizations to see the context within online conversations and what lies beyond the limits of one-dimensional metrics.

The new release also makes it easier to build the most accurate vocabularies and brand-unique terms into queries. It is equipped with Sentiment Analysis, Trend Analysis, Influencer Analysis, Geo-Spatial Analysis, Topic-Based Analysis, and Discovery.

"Attensity Q offers brands and organizations an early warning system for emerging trends and market shifts so that companies can stay ahead of events," said James Purchase, vice president of product management at Attensity, in a statement. "Attensity Q is one of the key building blocks of Attensity's platform that delivers an increased range of discovery and intelligence to help businesses drill down and understand the constantly changing social landscape.

"Analytical monitoring tools typically look for what they're told to find, thereby potentially missing important data," Purchase added. "By analyzing the conversation thread emerging from a topic, organizations are able to better understand conversations beyond simplistic keywords and see the larger implications for them and their markets."


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