By Nijaz Bajgoric
For you to remain aggressive, glossy companies have to undertake an firm info process or an built-in IT platform that operates on an always-on foundation on the way to stay resilient, non-stop, operational, adaptive, and responsive during this more and more aggressive and altering company surroundings. Always-On company details platforms for enterprise Continuance: applied sciences for trustworthy and Scalable Operations presents an in-depth and scientifically-based research of always-on company info structures. important to academicians, researchers, and practitioners, this complicated booklet identifies methodological frameworks for designing and constructing effective structures and powerful techniques for always-on implementation.
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Extra resources for Always-On Enterprise Information Systems for Business Continuance: Technologies for Reliable and Scalable Operations (Premier Reference Source)
Sample text
Business intelligence (BI) solutions were evolved in early 1990s (Power, 2007). As it is common in IT there are several definitions available in the literature for BI. The term was introduced by Hans Peter Luhn in 1958 (Luhn, 1958). In his view “business is a collection of activities carried on for whatever purpose, be it science, technology, commerce, industry, law, government, defence, et cetera. ” Business intelligence concept was popularized by Howard Dresner, a Gartner group analyst, in 1989.
G. revealing hidden relationships, rules, correlations, predictions. It uses several techniques from the fields of statistics, artificial intelligence, machine learning, and mathematics. g. g. g. repeat visitors of a shop. Data mining process can be described by the SAS methodology, namely “SEMMA” approach. SEMMA covers the following steps: • • • • • Sampling Exploring (revealing data quality related problems) Manipulating (data quality improvement) Modeling Assessment. Many authors have written about data mining theory and practice, amongst other Berry (2002), Linoff and Berry (1997), Han and Kamber (2004), Edelstein (1999), Adriaans and Zantige (2002) and Kantardzic (2002).
Next session gives an overview about it. overview of business continuity Planning Information systems business continuity planning (IS BCP) is a process, which aims to reduce, manage the risks threatening IS processing. The IS BCP has to be consistent with corporate business continuity plan and it should be based on the organizational strategy. Generally BCP process has the following life cycle phases (ISACA, 2008): • • • • • • • 28 Creation of business continuity policy Business impact analysis Classification of operation and criticality analysis Identification of IS processes that support critical organizational functions Development of business continuity plan and IS disaster recovery procedures Development of resumption procedures Training and awareness program • • Testing and implementation of the plan Monitoring.
