By Carlo Vercellis
Enterprise intelligence is a vast type of functions and applied sciences for amassing, supplying entry to, and examining facts for the aim of assisting firm clients make greater company judgements. The time period implies having a entire wisdom of all elements that have an effect on a company, similar to shoppers, opponents, enterprise companions, fiscal surroundings, and inner operations, for that reason permitting optimum judgements to be made.Business Intelligence presents readers with an advent and useful consultant to the mathematical versions and research methodologies very important to company intelligence.This book:Combines distinctive assurance with a realistic consultant to the mathematical types and research methodologies of commercial intelligence.Covers all of the sizzling subject matters resembling info warehousing, information mining and its purposes, laptop studying, type, provide optimization versions, choice help platforms, and analytical equipment for functionality evaluation.Is made obtainable to readers during the cautious definition and advent of every suggestion, through the vast use of examples and various real-life case studies.Explains the best way to utilise mathematical versions and research types to make powerful and quality company decisions.This ebook is aimed toward postgraduate scholars following info research and information mining courses.Researchers trying to find a scientific and wide insurance of subject matters in operations examine and mathematical versions for decision-making will locate this a useful advisor.
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Additional resources for Business Intelligence: Data Mining and Optimization for Decision Making
The number of alternative actions may be very high, and sometimes unlimited. • The effects of a given decision usually appear later, not immediately. • The decisions made within a public or private enterprise or organization are often interconnected and determine broad effects. Each decision has consequences for many individuals and several parts of the organization. • During the decision-making process knowledge workers are asked to access data and information, and work on them based on a conceptual and analytical framework.
As a consequence, it is necessary to develop a DSS by making provision for future changes and adjustments. In this respect it is possible to identify two clear advantages offered by the development methods described so far. First, if a DSS has been developed using rapid prototyping techniques, it is likely to be more amenable to periodic extensions and revisions. Furthermore, the mathematical models used to develop a BUSINESS INTELLIGENCE 43 DSS are suitable for incorporating evolving changes and updates which often reduce to simple modifications in the expressions that describe the model.
From a methodological perspective, this implies that a multi-objective optimization problem is transformed into a single-objective problem by expressing all the relevant factors in a common measurement unit that allows the heterogeneous objectives to be added together. Bounded rationality. Bounded rationality occurs whenever it is not possible to meaningfully reduce multiple criteria into a single objective, so that the decision maker considers an option to be satisfactory when the corresponding performance indicators fall above or below prefixed threshold values.
Business Intelligence: Data Mining and Optimization for Decision Making by Carlo Vercellis