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Description
[ILLUSTRATION OMITTED]
Business intelligence (BI) solutions have typically focused on analysis of quantitative data to measure and predict organizational performance. The analyses help drive decisions about staffing, R&D, marketing and other business activities. However, quantitative analyses do not always provide an indication of causality. Those clues are more often found in unstructured data, which constitutes the great majority of information but is more difficult to analyze. Organizations ranging from intelligence and law enforcement to consumer goods face a major challenge in making effective use of that data, but text analytics is providing some of the answers.
The Chesterfield County Police Department (chesterfield.gov/publicsafety/police) in Virginia is one of the largest in the country, with 500 officers and 100 civilians. Among the staff are about a dozen analysts who review data about ongoing cases to help resolve them. Each case report consists of a set of structured data with fields such as the date of the incident, names of individuals arrested and other related information that is stored in a records management system. The report also includes a narrative that describes the incident. During a typical year, the department generates about a million lines of narrative text.
Because of the volume of the narratives, the department began considering the use of an automated text analysis product from Attensity (attensity.com) called the Law Enforcement Analyst Desktop Solution (LEADS). Attensity's technology is based on computational linguistics, which extracts information about entities--people,... |
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