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Title Perspectives on business intelligence [electronic resource] / Raymond T. Ng ... [et al.]
Imprint San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, c2013
book jacket
Descript 1 electronic text (xi, 151 p.) : ill., digital file
Series Synthesis lectures on data management, 2153-5426 ; # [34]
Synthesis digital library of engineering and computer science
Synthesis lectures on data management ; # [34]. 2153-5426
Note Part of: Synthesis digital library of engineering and computer science
Series number on item is 32
Series from website
Includes bibliographical references (p. 125-144)
1. Introduction and the changing landscape of business intelligence / Stephan Jou and Raymond Ng -- 1.1 Introduction -- 1.2 The role of research and this book --
2. BI game changers: an industry viewpoint / Rock Leung... [et al.] -- 2.1 Introduction -- 2.2 Defining business intelligence -- 2.3 Early days of BI -- 2.4 Classic BI -- 2.5 Game-changing trends -- 2.5.1 Faster business -- 2.5.2 Bigger data -- 2.5.3 Better software -- 2.6 Next-generation BI -- 2.7 Conclusions --
3. Business modeling for BI / Eric Yu... [et al.] -- 3.1 Introduction -- 3.2 Modeling business processes -- 3.3 Strategic business modeling for performance management -- 3.4 Modeling business models -- 3.5 Toward modeling for BI -- 3.5.1 BIM concepts -- 3.5.2 Reasoning with BIM models -- 3.6 Conclusions --
4. Vivification in BI / Patricia C. Arocena, Renée J. Miller, and John Mylopoulos -- 4.1 Introduction -- 4.2 A motivating example -- 4.3 The vivification problem -- 4.3.1 Knowledge base vivification -- 4.3.2 Data exchange -- 4.4 Formal frameworK. -- 4.5 Current vivification strategies -- 4.5.1 Strategies for dealing with incompleteness -- 4.5.2 Strategies for dealing with uncertainty -- 4.5.3 Summary of other relevant work -- 4.6 Toward adaptive vivification strategies -- 4.6.1 Vivification by acceptance -- 4.6.2 Vivification by default -- 4.6.3 Vivification by resolution -- 4.7 Directions for future research -- 4.8 Conclusions --
5. Information integration in BI / Rachel A. Pottinger -- 5.1 Introduction -- 5.2 Information integration goals and axes -- 5.3 Challenges and background -- 5.3.1 Schemas and semantic heterogeneity -- 5.3.2 Ontologies -- 5.4 Overview of different information integration architectures -- 5.4.1 Data integration -- 5.4.2 Data warehousing -- 5.4.3 Peer data management systems -- 5.5 Information integration tools in industry -- 5.6 Conclusions --
6. Information extraction for BI / Denilson Barbosa, Luiz Gomes, Jr., and Frank Wm. Tompa -- 6.1 Introduction -- 6.1.1 Levels of structuredness -- 6.1.2 The role of IE for BI -- 6.2 IE from text -- 6.2.1 Patterns in language -- 6.2.2 Named entity recognition -- 6.2.3 Ontology learning -- 6.2.4 Relation extraction -- 6.2.5 Factoid extraction -- 6.3 Data extraction from the web -- 6.3.1 Wrapper induction -- 6.3.2 Schema extraction -- 6.4 BI over raw text -- 6.5 Conclusions --
7. Information visualization for BI / Giuseppe Carenini and Evangelos Milios -- 7.1 Introduction -- 7.2 Information visualization for decision support -- 7.2.1 Information visualization in the performance management cycle: Information dashboards -- 7.2.2 Visualization for preferential choice -- 7.2.3 Current and future trends in information visualization for decision support -- 7.3 Visualizing text -- 7.3.1 Text clouds -- 7.3.2 Topic models -- 7.3.3 Text streams -- 7.3.4 Sentiment analytics -- 7.3.5 Multiview systems for document collections -- 7.4 Conclusions --
Bibliography -- Authors' biographies
Abstract freely available; full-text restricted to subscribers or individual document purchasers
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INSPEC
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Mode of access: World Wide Web
System requirements: Adobe Acrobat Reader
In the 1980s, traditional Business Intelligence (BI) systems focused on the delivery of reports that describe the state of business activities in the past, such as for questions like "How did our sales perform during the last quarter?" A decade later, there was a shift to more interactive content that presented how the business was performing at the present time, answering questions like "How are we doing right now?" Today the focus of BI users are looking into the future. "Given what I did before and how I am currently doing this quarter, how will I do next quarter?" Furthermore, fuelled by the demands of Big Data, BI systems are going through a time of incredible change. Predictive analytics, high volume data, unstructured data, social data, mobile, consumable analytics, and data visualization are all examples of demands and capabilities that have become critical within just the past few years, and are growing at an unprecedented pace
Also available in print
Title from PDF t.p. (viewed on May 21, 2013)
Morgan & Claypool
Link Print version: 9781627050937
Subject Management information systems
business intelligence
big data
business modeling
vivification
data integration
information extraction
information visualization
Alt Author Ng, Raymond Tak-yan, 1963-
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