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Operational risk management with real-time business intelligence

Autor: Z. Cui, M. Spott, B. Majeed, Ben Azvine

Publikováno v: BT Technology Journal. 25:154-167

Operational risk is a function of the complexity of the business and the environment that the business operates in. Such complexities increase as the business or the environment become more dynamic, i.e. where change is a permanent feature and a fact

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6648f59d583d2abd8ee4d3039f3ffa6c
https://doi.org/10.1007/s10550-007-0017-5

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Using fuzzy techniques in Business Performance Management

Autor: R. Dorne, T. Sommerfeld, M. Spott

Publikováno v: NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society.

An important part of business performance management (BPM) is identifying strategic targets for the organisation, cascading them down into tactical and operational targets and finally optimising operational levers or actions as to achieve the given t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::12acafed672985d7f3f7156bcfe77fd4
https://doi.org/10.1109/nafips.2008.4531259

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Predictive Customer Analytics and Real-Time Business Intelligence

Autor: Detlef Nauck, Dymitr Ruta, M. Spott, B. Azvine

Publikováno v: Service Chain Management ISBN: 9783540755036

Customers should be at the heart of any business. In order to improve processes with customer interaction, businesses have introduced customer relationship management systems. These systems collect large volumes of data about customers which contain

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9fbd945e03759237bc150943f2498619
https://doi.org/10.1007/978-3-540-75504-3_14

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Efficient multi-stage reasoning with fuzzy words

Autor: M. Spott

Publikováno v: IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04..

Fuzzy systems are a natural choice for processing coarse granular information, but unfortunately, most fuzzy systems suffer from two drawbacks. Although knowledge is formulated at a coarse granular level using fuzzy sets, most information processing

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::116866a981e41c329eef4fab570d11e0
https://doi.org/10.1109/nafips.2004.1336328

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