Discovering latent connections between seemingly unconnected documents and constructing “stories” from scattered pieces of evidence are staple tasks in intelligence analysis. We have worked with government intelligence analysts to understand the strategies they use to make connections. Beyond techniques like clustering that aim to provide an initial broad summary of large document collections, ...

In this study, we employ an innovative new methodology suggested by Bernhardt et al. (2006) to examine the herding (or anti-herding) behavior of German analysts in case of earnings forecasts. Our methodology avoids well-known shortcomings often encountered in related studies, such as, e.g., correlated information signals, unexpected common shocks to earnings, systematic optimism or pessimism or...

Digital systems are employed to maintain situational awareness of people in various contexts including emergency response, disaster relief, and military operations. Because these systems are often operated in wireless environments and are used to support real-time decision making, the accuracy of the SA data provided is important to measure and evaluate in the development of new systems. Our wo...

Performance visualization comprises techniques that aid developers and analysts in improving the time and energy efficiency of their software. In this work, we discuss performance as it relates to visualization and survey existing approaches in performance visualization. We present an overview of what types of performance data can be collected and a categorization of the types of goals that per...

Homeland security intelligence analysts need help finding relevant information quickly in a rapidly increasing volume of incoming raw data. Many different AI techniques are needed to handle this deluge of data. This paper describes initial investigations in the application of recommender systems to this problem. It illustrates various recommender systems technologies and suggests scenarios for ...

The aim of this paper is to identify who is a systems analyst in organizations in a turbulent world. We see a need to radically rethink the way in which information systems are developed. There have appeared some efforts to create systems analysis methods for business professionals, for example, Alter (2002) and Bednar (2000). To promote the development of such methods, there is a need to theor...

We examine the relation between analysts’ earnings forecasts and firms’ intangible assets, including technology-based intangibles, brand names, and recognized intangibles. We predict that high information complexity of intangible assets increases the difficulty for analysts to assimilate information and increases analysts’ forecast error of intangibles-intensive firms. We find a positive associ...

This paper examines the relationship of analysts’ coverage, forecasting errors and earnings management. It corroborates the role of analysts as gatekeepers by finding that analysts enhance transparency and reduce the scope of earnings management. To identify analysts’ coverage we used the I/B/E/S, from where we also obtained information on the consensus projections of analysts for listed Brazil...

Reading manually annual and quarterly reports helps financial analysts and decision makers to judge companies’ financial performance. Professionals infer from a report not only the current financial performance and strategic outlook of a company but also its prospective financial performance. They have insightful methods to find some intuitive indications of the future financial performance of ...

The aim of this study was to devise a valid performance analysis system for the assessment of the movement characteristics associated with competitive amateur boxing and assess its reliability using analysts of varying experience of the sport and performance analysis. Key performance indicators to characterise the demands of an amateur contest (offensive, defensive and feinting) were developed ...