Frontiers of Business Intelligence and Analytics

To identify BI & A 3.0 application areas that received low or no attention in IS research, the taxonomy differentiates between six application area characteristics and one characteristic for application area independent research works. The majority of papers addresses an application scenario in Market intelligence (23 hits), followed by the application area Smart industry (19), such as the implementation of a big data system for improving production processes at Bosch through data from customer's quality complaint and internal defect cost controlling. Eleven research outcomes have no clear application area and are classified as Application area independent. Zhang et al. for example introduces and describes the evolution of social and community intelligence. They suggest a framework for integrating large scale and heterogeneous data sources to support a fast application development and deployment process. Practitioners and researchers might apply such a framework in any industry section, which is the reason for that classification. Ten papers contribute to the private and consumer usage of IoT. For example, O'Leary investigates the Street Bump app (an app for detecting street potholes), describes the challenges of using data from sensor-based mobile device apps, and provides guidelines to prevent common failures.

Five research papers address the application area Security and public safety. Raciti et al. introduce a system that applies self-learning algorithms on sensors that measure water quality for the authorities and water operators. The goal is to detect anomalies through an improved monitoring. Chen et al. develop an approach to predict smog in big cities by combining sensor and social media data. Khalemsky and Schwartz present a smartphone app, which sends a notification in case of a medical emergency to relevant people within a spitting distance. The authors aim at providing a faster first aid than the regular rescue service.

Additional five research papers address the application area Smart health. BI & A research for smart health focuses on supporting nursing and health care processes through the real-time analysis of sensor data. Bourouis et al. introduce a mobile app that detects eye diseases using a small external microscope, connected with a smartphone. All approaches have in common that they collect sensor-based health data to track the health status of an individual. Tokar and Batoroev identify opportunities for the usage of mobile devices in mental health. Therefore, they analyzed 124 iPhone apps for depression therapies.

The potential application area E-government & politics receives only little attention (2 hits). Ju et al. propose a framework for citizen-centered analytics and decision support for governance intelligence. They implement their approach in a blood donation administration in China. Chatterjee et al. present a machine learning approach that identifies defects of road surfaces.