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Enterprise application transformation strategy and roadmap design:A business value driven and IT supportability-based approach
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作者 Yale Yu Sharma Madiraju 《Journal of Management Analytics》 EI 2015年第2期111-120,共10页
This paper proposes a practical and framework-based approach to design an architecture transformation strategy and roadmap aiming to transform or modernize critical legacy enterprise systems.The approach is business v... This paper proposes a practical and framework-based approach to design an architecture transformation strategy and roadmap aiming to transform or modernize critical legacy enterprise systems.The approach is business value driven with IT supportability in terms of lower application operational and support costs,higher business value and shorter time to market of application delivery.The approach introduces a robust enterprise application architecture assessment framework with an emphasis on technical(internal)and strategic(external)perspectives to guide the application assessment and also a finance selfsupport transformation strategy to aid its transformation roadmap design.The approach was applied in multiple large enterprises successfully and received endorsements and positive feedback from the sponsors.The paper also presents a case study detailing the successful application of the approach to modernize an enterprise logistics transportation management system. 展开更多
关键词 application modernization application architecture assessment enterprise application architecture transformation IT supportability total cost of development and operation
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Big data in telecommunication operators: data, platform and practices 被引量:1
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作者 Zhen Wang Guofu Wei +1 位作者 Yaling Zhan Yanhuan Sun 《Journal of Communications and Information Networks》 2017年第3期78-91,共14页
In the age of information explosion,big data has brought challenges but also great opportunities that support a wide range of applications for people in all walks of life.Faced with the continuous and intense competit... In the age of information explosion,big data has brought challenges but also great opportunities that support a wide range of applications for people in all walks of life.Faced with the continuous and intense competition from OTT service providers,traditional telecommunications service providers have been forced to undergo enterprise transformation.Fortunately,these providers have natural and unique advantages in terms of both data sources and data scale,all of which give them a competitive advantage.Multiple foreign mainstream telecom operators have already applied big data for their own growth,from internal business to external applications.Armed with big data,domestic telecom companies are also innovating business models.This paper will introduce three aspects of big data in the telecommunications industry.First,the unique characteristics and advantages of communications industry big data are discussed.Second,the development of the big data platform architecture is introduced in detail,which incorporates ve crucial sub-systems.We highlight the data collection and data processing systems.Finally,three internal or external application areas based on big data analysis are discussed,namely basic business,network construction,and intelligent tracing.Our work sheds light on how to deal with big data for telecommunications enterprise development. 展开更多
关键词 telecommunication operator enterprise transformation big data platform architecture practical applications
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