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Aircraft economics
Published in Paul Clark, Buying the Big Jets, 2017
As part of a major restructuring, Continental Airlines implemented a real-time business intelligence activity that allowed the airline to practise their own DCM activity. Data that had not been available before was suddenly accessible through a data warehouse. The airline estimated annual benefits of $5 million in incremental revenue.12 Research has suggested that United Airlines have benefited to the tune of $5–10 million annually.13 All Nippon Airways are reported to have generated an annual benefit of $1.2 million.14 It is generally accepted that a well-executed DCM system can generate a boost in revenues of up to 2 per cent.15
Applications of Industrial Internet of Things (IIoT)
Published in Shivani Agarwal, Sandhya Makkar, Duc-Tan Tran, Privacy Vulnerabilities and Data Security Challenges in the IoT, 2020
Sandhya Makkar, Megha Duseja, Shivani Agarwal
In a world where even a minute’s latency in solving a transportation issue can lead to a very costly mistake, real-time intelligence provision is the need of the hour and is here to stay for good! A connected data transport solution can be combined with IoT analytics to reduce time-to-market processes, resolve troubleshooting issues, and bring down the total cost of ownership. It is only with real-time business intelligence data that retailers and manufacturers can acquire a comprehensive view of their transportation ecosystem.
A Survey on Social Business Intelligence: A Case Study of Application of Dynamic Social Networks for Decision Making
Published in Brojo Kishore Mishra, Raghvendra Kumar, Natural Language Processing in Artificial Intelligence, 2020
Subrata Paul, Chandan Koner, Anirban Mitra
Updating the Status of the Social Media Metrics and the Values of the KPIs Constantly: For the development of real-time business intelligence, the system must automatically monitor the social media metrics. The firm gets an affinity on the values of the social media metrics and the values of the KPIs.
Industry 4.0: Clustering of concepts and characteristics
Published in Cogent Engineering, 2022
Zhanybek Suleiman, Sabit Shaikholla, Dinara Dikhanbayeva, Essam Shehab, Ali Turkyilmaz
The last cluster group is Smart City, which is C28. In the majority of literature available, the concept of Smart Cities is considered massive and wide-ranging, and it has common characteristics with I4.0. For instance, Lom et al. (2016) propose that the main components of Smart City are CPS, IoT, Internet of Service, Internet of People, Internet of Energy, and FOG computing, which highly correlates with the phenomenon of I4.0. In other words, the authors highlight the point that I4.0 is considered as a building block of the Smart City concept, thereby increasing the scope and focus of the first one. In that regard, Prosser (2018) has provided the analysis of the Smart City concept through the prism of I4.0 enabling factors such as cloud services and real-time business intelligence, and distinguishes these two concepts based on their main focus: I4.0 is efficiency-oriented, whereas Smart City is focused on citizen/business satisfaction. Another viewpoint is provided by Yun and Lee (2019) by considering Smart City from the perspective of open innovation. They have identified the core enablers of Smart City, such as IoT, cloud technologies, Big Data, and blockchain, which are the core technological base of I4.0. Therefore, concept C28 is considered a self-sustained cluster group.
Data-driven Begins with DATA; Potential of Data Assets
Published in Journal of Computer Information Systems, 2022
Hannu Hannila, Risto Silvola, Janne Harkonen, Harri Haapasalo
Real-time business intelligence has become a competitive advantage for companies.31 Nevertheless, the literature has been focusing much on IT systems and algorithms, while data analytics and data governance have gained less attention despite growing data volumes in companies.65,66 Surviving in complex environments requires well-integrated processes, disciplined data architecture, and consistent data and information management.9