Leverage big data analytics for dynamic informed decisions with advanced case management

被引:12
|
作者
Osuszek, Lukasz [1 ]
Stanek, Stanislaw [1 ]
Twardowski, Zbigniew [1 ]
机构
[1] Gen Tadeusz Kosciuszko Mil Acad Land Forces, Wroclaw, Poland
关键词
Adaptive case management; decision support; big data; knowledge worker; business optimization;
D O I
10.1080/12460125.2016.1187401
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Big data is transforming the world, and it's especially changing the way in which modern enterprises conduct business and strategic, informed decisions. By incorporate big data analysis, organisations can make decisions based on facts rather than intuition or hidden internal knowledge. When decision makers and knowledge workers have access to increasingly accurate and up-to-date trusted source of information, along with the analytical tools to make sense of it, their organisations benefit from more informed decisions and more consistent outcomes than ever before. This approach for supporting decisions can affect overall company's business and the way knowledge workers do their jobs. Analytic tools took insights from big sets of data. They help broaden the context and background available for making informed, accurate, and consistent decisions. This research renders how Big Data analysis can extend the DSS part of the Adaptive Case Management (ACM) systems. Authors of the article discusses the thesis that by merging analytical tools, flexible process management and access to all required information into a single application - organisations can use big data to help improve the way they do business.
引用
收藏
页码:436 / 449
页数:14
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