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Ensuring Operational Compliance in Critical Data-Driven Industries through Robust Software Infrastructure Risk Reporting

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Název: Ensuring Operational Compliance in Critical Data-Driven Industries through Robust Software Infrastructure Risk Reporting
Autoři: Joseph Aaron Tsapa
Informace o vydavateli: European Journal of Advances in Engineering and Technology
Rok vydání: 2021
Sbírka: Zenodo
Témata: Operational compliance, risk reporting, software infrastructure, data-driven industries, regulatory compliance, real-time analytics, scalability, AI, online monitoring, proactive decision-making, security strategies, the culture of compliance, adaptable solutions, regulatory complexities, machine learning, blockchain, resilience
Popis: This paper examines the challenges and good practices in building, deploying, and using robust software infrastructure risk reporting systems for industries like fintech, utilities, and healthcare, whose activities depend highly on data. Spending such a significant amount of data on the overall big picture of modern industries' performance is the key to the reliability and competitiveness of this operation. Practical and robust reporting systems, a cornerstone in dealing with compliance challenges, are provided via real-time analytics, scalability, and fragmented data. The software architecture meshes analytics, AI, and data monitoring facilities to clarify information, eliminate corruption, and enhance system resiliency against ever-evolving threats. Comprehensive risk reporting areas should be developed, allowing one to make proactive decisions, strengthen security strategies, and grow compliance cultures. Since creative and flexible choices allow one to be very original, complicated issues of regulations can be resolved, and long-lasting success can be achieved. The use of these advanced technologies, such as AI, machine learning, and blockchain, will help move regulatory compliance to the next level.
Druh dokumentu: article in journal/newspaper
Jazyk: unknown
Relation: https://zenodo.org/records/11100567; oai:zenodo.org:11100567; https://doi.org/10.5281/zenodo.11100567
DOI: 10.5281/zenodo.11100567
Dostupnost: https://doi.org/10.5281/zenodo.11100567
https://zenodo.org/records/11100567
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Přístupové číslo: edsbas.F602A78B
Databáze: BASE
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  – Url: https://doi.org/10.5281/zenodo.11100567#
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  Data: Ensuring Operational Compliance in Critical Data-Driven Industries through Robust Software Infrastructure Risk Reporting
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  Data: <searchLink fieldCode="AR" term="%22Joseph+Aaron+Tsapa%22">Joseph Aaron Tsapa</searchLink>
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  Data: European Journal of Advances in Engineering and Technology
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  Data: 2021
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  Data: <searchLink fieldCode="DE" term="%22Operational+compliance%22">Operational compliance</searchLink><br /><searchLink fieldCode="DE" term="%22risk+reporting%22">risk reporting</searchLink><br /><searchLink fieldCode="DE" term="%22software+infrastructure%22">software infrastructure</searchLink><br /><searchLink fieldCode="DE" term="%22data-driven+industries%22">data-driven industries</searchLink><br /><searchLink fieldCode="DE" term="%22regulatory+compliance%22">regulatory compliance</searchLink><br /><searchLink fieldCode="DE" term="%22real-time+analytics%22">real-time analytics</searchLink><br /><searchLink fieldCode="DE" term="%22scalability%22">scalability</searchLink><br /><searchLink fieldCode="DE" term="%22AI%22">AI</searchLink><br /><searchLink fieldCode="DE" term="%22online+monitoring%22">online monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22proactive+decision-making%22">proactive decision-making</searchLink><br /><searchLink fieldCode="DE" term="%22security+strategies%22">security strategies</searchLink><br /><searchLink fieldCode="DE" term="%22the+culture+of+compliance%22">the culture of compliance</searchLink><br /><searchLink fieldCode="DE" term="%22adaptable+solutions%22">adaptable solutions</searchLink><br /><searchLink fieldCode="DE" term="%22regulatory+complexities%22">regulatory complexities</searchLink><br /><searchLink fieldCode="DE" term="%22machine+learning%22">machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22blockchain%22">blockchain</searchLink><br /><searchLink fieldCode="DE" term="%22resilience%22">resilience</searchLink>
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  Data: This paper examines the challenges and good practices in building, deploying, and using robust software infrastructure risk reporting systems for industries like fintech, utilities, and healthcare, whose activities depend highly on data. Spending such a significant amount of data on the overall big picture of modern industries' performance is the key to the reliability and competitiveness of this operation. Practical and robust reporting systems, a cornerstone in dealing with compliance challenges, are provided via real-time analytics, scalability, and fragmented data. The software architecture meshes analytics, AI, and data monitoring facilities to clarify information, eliminate corruption, and enhance system resiliency against ever-evolving threats. Comprehensive risk reporting areas should be developed, allowing one to make proactive decisions, strengthen security strategies, and grow compliance cultures. Since creative and flexible choices allow one to be very original, complicated issues of regulations can be resolved, and long-lasting success can be achieved. The use of these advanced technologies, such as AI, machine learning, and blockchain, will help move regulatory compliance to the next level.
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  Data: https://zenodo.org/records/11100567; oai:zenodo.org:11100567; https://doi.org/10.5281/zenodo.11100567
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  Data: 10.5281/zenodo.11100567
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  Data: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
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        Value: 10.5281/zenodo.11100567
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    Subjects:
      – SubjectFull: Operational compliance
        Type: general
      – SubjectFull: risk reporting
        Type: general
      – SubjectFull: software infrastructure
        Type: general
      – SubjectFull: data-driven industries
        Type: general
      – SubjectFull: regulatory compliance
        Type: general
      – SubjectFull: real-time analytics
        Type: general
      – SubjectFull: scalability
        Type: general
      – SubjectFull: AI
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      – SubjectFull: online monitoring
        Type: general
      – SubjectFull: proactive decision-making
        Type: general
      – SubjectFull: security strategies
        Type: general
      – SubjectFull: the culture of compliance
        Type: general
      – SubjectFull: adaptable solutions
        Type: general
      – SubjectFull: regulatory complexities
        Type: general
      – SubjectFull: machine learning
        Type: general
      – SubjectFull: blockchain
        Type: general
      – SubjectFull: resilience
        Type: general
    Titles:
      – TitleFull: Ensuring Operational Compliance in Critical Data-Driven Industries through Robust Software Infrastructure Risk Reporting
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            NameFull: Joseph Aaron Tsapa
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              M: 01
              Type: published
              Y: 2021
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