000 05318nam a22005415i 4500
001 978-1-4471-4866-1
003 DE-He213
005 20200421112224.0
007 cr nn 008mamaa
008 130217s2013 xxk| s |||| 0|eng d
020 _a9781447148661
_9978-1-4471-4866-1
024 7 _a10.1007/978-1-4471-4866-1
_2doi
050 4 _aQA76.76.A65
072 7 _aUNH
_2bicssc
072 7 _aUDBD
_2bicssc
072 7 _aCOM032000
_2bisacsh
082 0 4 _a005.7
_223
245 1 0 _aBusiness Intelligence and Performance Management
_h[electronic resource] :
_bTheory, Systems and Industrial Applications /
_cedited by Peter Rausch, Alaa F. Sheta, Aladdin Ayesh.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2013.
300 _aXIV, 269 p. 57 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvanced Information and Knowledge Processing,
_x1610-3947
505 0 _aPreface -- Part I: Introduction -- Business Intelligence and Performance Management: An Introduction -- Part II: BI/PM in Business Analytics, Strategy and Management -- An Integrated Business Intelligence Framework: Closing the Gap between IT Support for Management and for Production -- Linking the Operational, Tactic and Strategic Level by Means of CPM: An Example of the Construction Industry -- Adaptive Business Intelligence: The Integration of Data Mining and Systems Engineering into an Advanced Decision Support as an Integral Part of the Business Strategy -- How to Introduce KPIs and Scorecards in IT Management -- Part III: BI/PM Applications to Business Development -- Data Mining Detection of Incidents in Networks -- Exploring the Differences Between the Cross Industry Process for Data Mining and the National Intelligence Model Using a Self Organizing Map Case Study -- Business Planning and Support by IT-Systems -- Planning Purchase Decisions with Advanced Neural Networks -- Part IV: Methodologies -- Financial Time Series Processing: A Roadmap of Online and Offline Methods -- Data Supply for Planning and Budgeting Processes under Uncertainty -- Minimizing the Total Cost in Production and Transportation Planning - A Fuzzy Approach -- Design and Automation for Manufacturing Processes: An Intelligent Business Modeling Using Adaptive Neuro-Fuzzy Inference Systems -- How to Measure Efficiency in IT Organizations -- Part V: Technologies -- Business Activity Monitoring (BAM) -- Scaling up Data Mining Techniques to Large Datasets Using Parallel and Distributed Processing -- Part VI: From Past to Present to Future -- Evolution of Business Intelligence.
520 _aDuring the 21st 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 examples of industrial applications. Contributions are authored by leading academics and practitioners representing various universities, research centres and companies worldwide. Their experience covers multiple disciplines and industries, including finance, construction, logistics, and public services, amongst others. Business Intelligence and Performance Management is a valuable source of reference for graduates approaching MSc or PhD programs and for professionals in industry researching in the fields of BI and PM for industrial application.
650 0 _aComputer science.
650 0 _aInformation technology.
650 0 _aBusiness
_xData processing.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 1 4 _aComputer Science.
650 2 4 _aInformation Systems Applications (incl. Internet).
650 2 4 _aIT in Business.
650 2 4 _aApplications of Mathematics.
700 1 _aRausch, Peter.
_eeditor.
700 1 _aSheta, Alaa F.
_eeditor.
700 1 _aAyesh, Aladdin.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447148654
830 0 _aAdvanced Information and Knowledge Processing,
_x1610-3947
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-4866-1
912 _aZDB-2-SCS
942 _cEBK
999 _c57571
_d57571