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Titlebook: Business Intelligence and Performance Management; Theory, Systems and Peter Rausch,Alaa F. Sheta,Aladdin Ayesh Book 2013 Springer-Verlag L

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發(fā)表于 2025-3-21 18:01:49 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Business Intelligence and Performance Management
期刊簡稱Theory, Systems and
影響因子2023Peter Rausch,Alaa F. Sheta,Aladdin Ayesh
視頻videohttp://file.papertrans.cn/193/192222/192222.mp4
發(fā)行地址State-of-the-art report on advances in Business Intelligence and Performance Management.Discusses both the theory and practice of Business Intelligence and Performance Management.Interdisciplinary ana
學(xué)科分類Advanced Information and Knowledge Processing
圖書封面Titlebook: Business Intelligence and Performance Management; Theory, Systems and  Peter Rausch,Alaa F. Sheta,Aladdin Ayesh Book 2013 Springer-Verlag L
影響因子.During the 21.st. century business environments have become more complex and dynamic than ever before. Companies operate in a world of change influenced by globalisation, volatile markets, legal changes and technical progress. As a result, they have to handle growing volumes of data and therefore require fast storage, reliable data access, intelligent retrieval of information and automated decision-making mechanisms, all provided at the highest level of service quality. Successful enterprises are aware of these challenges and efficiently respond to the dynamic environment in which their business operates..Business Intelligence (BI) and Performance Management (PM) offer solutions to these challenges and provide techniques to enable effective business change. The important aspects of both topics are discussed within this state-of-the-art volume. It covers the strategic support, business applications, methodologies and technologies from the field, and explores the benefits, issues and challenges of each. Issues are analysed from many different perspectives, ranging from strategic management to data technologies, and the different subjects are complimented and illustrated by numerous
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發(fā)表于 2025-3-21 21:31:08 | 只看該作者
An Integrated Business Intelligence Framework processes. The classical divide between “technical” IT and “business” IT begins to blend more and more. Data from design, manufacturing, product use, service, and support is made available across the complete product lifecycle and supply chain. This goes hand in hand with the diffusion of sensor an
板凳
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發(fā)表于 2025-3-22 09:02:05 | 只看該作者
How to Introduce KPIs and Scorecards in IT Managementd data assets are wasted in traditional reports which are ignored by IT management, on the other hand scorecard introductions fail despite of powerful technologies. This chapter starts with a description of how management and scorecards are linked up against the background of control cycles and the
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Exploring the Differences Between the Cross Industry Process for Data Mining and the National Intellctionable intelligence. In order to produce the required documentation analysts have to mine a variety of in-house data systems but do not receive any formal data mining training. The Cross Industry Standard Process for Data Mining is a database agnostic data mining methodology which is logical and
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發(fā)表于 2025-3-22 23:26:31 | 只看該作者
Business Planning and Support by IT-Systemsscope of this chapter some important characteristics of business planning will be presented. The main focus will be on support by IT-systems, starting by identifying different areas like modeling and manual planning. Then different system categories used for planning purposes will be compared. Impor
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發(fā)表于 2025-3-23 02:19:47 | 只看該作者
Planning Purchase Decisions with Advanced Neural Networksregular monthly investment in equities for a pension plan, or a fixed income placement. It might be a foreign exchange transaction to pay monthly costs in another currency. Or it could be the monthly supply of some commodity, like fuel or metal..All these cases have in common that the treasurer has
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發(fā)表于 2025-3-23 05:59:30 | 只看該作者
Financial Time Series Processing: A Roadmap of Online and Offline Methodsn enhance and facilitate the decision making process. The financial information is usually gathered over time providing a temporal and historical trace of the financial evolution in the form of time series. The organizations can then rely on such histories to understand, uncover, learn and most impo
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