Attensity shows data analyzer based on the company's broader approach to unstructured data analysis
— through at-a-glance charts and graphs showing compliments, complaints, sentiment, at-risk customers, and “intent to buy” events around a particular store or product. Managers can quickly uncover new insights, see what products might be causing the most issues, which service personnel are gaining kudos for their performance, and spot potential issues with products or locations before they surface in the official help desk channels.
Attensity Group provides software applications based on Web 3.0 semantic technologies to find, understand, and use information trapped in unstructured text to drive critical decision-making. The suite of applications address collective intelligence in social media and forums; the voice of the customer in surveys and e-mails; customer response management; e-services; research and discovery; risk and compliance; and intelligence analysis. Organizations are better able to track trends, identify patterns, detect anomalies, reduce threats, and seize opportunities to improve customer satisfaction and retention.
Attensity’s Analyze for VOC is based on the company’s broader approach to unstructured data analysis, and that approach is ideal for connecting-the-dots for intelligence services and law enforcement — and connecting-the-dot was one element missing, for example, from the way the intelligence information about the Nigerian Christmas Day bomber was handled. Intelligence information — including cables, field analyst reports, ship manifests, e-mails, open source documents, and other data feeds — floods intelligence and other government agencies on a daily basis. Most “automated” text analysis systems have required significant human intervention and have been limited to coding, indexing, keyword search, or simple entity extractions that are inadequate because of imprecise and unpredictable results. Moreover, these systems have been unable fully to benefit from the breadth of analytic tools designed for dealing with structured information.
The Attensity Intelligence Analysis solution provides the capability to automate the extraction of events and relationships from text — not only who or what, but why, when, where, and how, automating the transformation of text into structured, relational data. The result is dramatically faster and more comprehensive detection of trends, anomalies, patterns and linkages, and more time for analysts to respond to them. Once extracted in this structured form, the information can be pushed downstream to feed virtually any system that processes relational tables. Such tabular data can be stored in a shared data warehouse repository for data mining or link analysis purposes, it can be input directly to a link analysis tool such as Visual Analytics’ Visual Links, i2’s Analyst’s Notebook, or other analytic applications, or it could be sent via an automated email alert to an analyst.
