Real-Time Analysis of Online Sources for Supporting Business Intelligence Illustrated with Bitcoin Investments and IoT Smart-Meter Sensors in Smart Cities
Real-time data management analytics involve capturing data in real-time and, at the same time, processing data in a light way to provide an effective real-time support. Real-time data management analytics are key for supporting decisions of business intelligence. The proposed approach covers all the...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-07-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/9/7/1101 |
| _version_ | 1797563195545616384 |
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| author | Iván García-Magariño Moustafa M. Nasralla Shah Nazir |
| author_facet | Iván García-Magariño Moustafa M. Nasralla Shah Nazir |
| author_sort | Iván García-Magariño |
| collection | DOAJ |
| description | Real-time data management analytics involve capturing data in real-time and, at the same time, processing data in a light way to provide an effective real-time support. Real-time data management analytics are key for supporting decisions of business intelligence. The proposed approach covers all these phases by (a) monitoring online information from websites with Selenium-based software and incrementally conforming a database, and (b) incrementally updating summarized information to support real-time decisions. We have illustrated this approach for the investor–company field with the particular fields of Bitcoin cryptocurrency and Internet-of-Things (IoT) smart-meter sensors in smart cities. The results of 40 simulations on historic data showed that one of the proposed investor strategies achieved 7.96% of profits on average in less than two weeks. However, these simulations and other simulations of up to 69 days showed that the benefits were highly variable in these two sets of simulations (respective standard deviations were 24.6% and 19.2%). |
| first_indexed | 2024-03-10T18:39:06Z |
| format | Article |
| id | doaj.art-fcd8698511e74dd4914c071ec758fcbd |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T18:39:06Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-fcd8698511e74dd4914c071ec758fcbd2023-11-20T06:00:24ZengMDPI AGElectronics2079-92922020-07-0197110110.3390/electronics9071101Real-Time Analysis of Online Sources for Supporting Business Intelligence Illustrated with Bitcoin Investments and IoT Smart-Meter Sensors in Smart CitiesIván García-Magariño0Moustafa M. Nasralla1Shah Nazir2Department of Software Engineering and Artificial Intelligence, Complutense University of Madrid, 28040 Madrid, SpainDepartment of Communications and Networks Engineering, Prince Sultan University, Riyadh 11586, Saudi ArabiaDepartment of Computer Science, University of Swabi, Khyber Pakhtunkhwa 23430, PakistanReal-time data management analytics involve capturing data in real-time and, at the same time, processing data in a light way to provide an effective real-time support. Real-time data management analytics are key for supporting decisions of business intelligence. The proposed approach covers all these phases by (a) monitoring online information from websites with Selenium-based software and incrementally conforming a database, and (b) incrementally updating summarized information to support real-time decisions. We have illustrated this approach for the investor–company field with the particular fields of Bitcoin cryptocurrency and Internet-of-Things (IoT) smart-meter sensors in smart cities. The results of 40 simulations on historic data showed that one of the proposed investor strategies achieved 7.96% of profits on average in less than two weeks. However, these simulations and other simulations of up to 69 days showed that the benefits were highly variable in these two sets of simulations (respective standard deviations were 24.6% and 19.2%).https://www.mdpi.com/2079-9292/9/7/1101real-time data managementIoTsmart cityBitcoinbusiness intelligenceinvestor strategy |
| spellingShingle | Iván García-Magariño Moustafa M. Nasralla Shah Nazir Real-Time Analysis of Online Sources for Supporting Business Intelligence Illustrated with Bitcoin Investments and IoT Smart-Meter Sensors in Smart Cities Electronics real-time data management IoT smart city Bitcoin business intelligence investor strategy |
| title | Real-Time Analysis of Online Sources for Supporting Business Intelligence Illustrated with Bitcoin Investments and IoT Smart-Meter Sensors in Smart Cities |
| title_full | Real-Time Analysis of Online Sources for Supporting Business Intelligence Illustrated with Bitcoin Investments and IoT Smart-Meter Sensors in Smart Cities |
| title_fullStr | Real-Time Analysis of Online Sources for Supporting Business Intelligence Illustrated with Bitcoin Investments and IoT Smart-Meter Sensors in Smart Cities |
| title_full_unstemmed | Real-Time Analysis of Online Sources for Supporting Business Intelligence Illustrated with Bitcoin Investments and IoT Smart-Meter Sensors in Smart Cities |
| title_short | Real-Time Analysis of Online Sources for Supporting Business Intelligence Illustrated with Bitcoin Investments and IoT Smart-Meter Sensors in Smart Cities |
| title_sort | real time analysis of online sources for supporting business intelligence illustrated with bitcoin investments and iot smart meter sensors in smart cities |
| topic | real-time data management IoT smart city Bitcoin business intelligence investor strategy |
| url | https://www.mdpi.com/2079-9292/9/7/1101 |
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