The Resource Fundamentals of business intelligence, Wilfried Grossmann, Stefanie Rinderle-Ma

Fundamentals of business intelligence, Wilfried Grossmann, Stefanie Rinderle-Ma

Label
Fundamentals of business intelligence
Title
Fundamentals of business intelligence
Statement of responsibility
Wilfried Grossmann, Stefanie Rinderle-Ma
Creator
Contributor
Author
Subject
Genre
Language
eng
Summary
This book presents a comprehensive and systematic introduction to transforming process-oriented data into information about the underlying business process, which is essential for all kinds of decision-making. To that end, the authors develop step-by-step models and analytical tools for obtaining high-quality data structured in such a way that complex analytical tools can be applied. The main emphasis is on process mining and data mining techniques, and the combination of these methods for process-oriented data. After a general introduction to the business intelligence (BI) process and its constituent tasks in chapter 1, chapter 2 discusses different approaches to modeling in BI applications. Chapter 3 is an overview and provides details of data provisioning, including a section on big data. Chapter 4 tackles data description, visualization, and reporting. Chapter 5 introduces data mining techniques for cross-sectional data. Different techniques for the analysis of temporal data are then detailed in Chapter 6. Subsequently, chapter 7 explains techniques for the analysis of process data, followed by the introduction of analysis techniques for multiple BI perspectives in chapter 8. The book closes with a summary and discussion in chapter 9. Throughout the book, (mostly open source) tools are recommended, described, and applied; a more detailed survey on tools can be found in the appendix, and a detailed code for the solutions together with instructions on how to install the software used can be found on the accompanying website. Also, all concepts presented are illustrated and selected examples and exercises are provided. The book is suitable for graduate students in computer science, and the dedicated website with examples and solutions makes the book ideal as a textbook for a first course in business intelligence in computer science or business information systems. Additionally, practitioners and industrial developers who are interested in the concepts behind business intelligence will benefit from the clear explanations and many examples
Member of
Cataloging source
GW5XE
http://library.link/vocab/creatorDate
1948-
http://library.link/vocab/creatorName
Grossmann, Wilfried
Dewey number
006.312
Illustrations
illustrations
Index
no index present
Language note
English
LC call number
QA76.9.D343
LC item number
G76 2015eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Rinderle-Ma, Stefanie
Series statement
Data-Centric Systems and Applications,
http://library.link/vocab/subjectName
  • Data mining
  • Management information systems
  • Business intelligence
  • Business intelligence
  • Data mining
  • Management information systems
  • Computer Science
  • Engineering & Applied Sciences
  • Computer Science
  • Data Mining and Knowledge Discovery
  • Business Information Systems
  • Computer Appl. in Administrative Data Processing
  • Information Systems Applications (incl. Internet)
  • Business Process Management
Label
Fundamentals of business intelligence, Wilfried Grossmann, Stefanie Rinderle-Ma
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-662-46531-8
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
1 Introduction -- 2 Modeling in Business Intelligence -- 3 Data Provisioning -- 4 Data Description and Visualization -- 5 Data Mining for Cross-Sectional Data -- 6 Data Mining for Temporal Data -- 7 Process Analysis -- 8 Analysis of Multiple Business Perspectives -- 9 Summary -- A Survey on Business Intelligence Tools
Dimensions
unknown
Extent
1 online resource (xviii, 348 pages)
File format
unknown
Form of item
online
Isbn
9783662465301
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-662-46531-8
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)910964163
  • (OCoLC)ocn910964163
Label
Fundamentals of business intelligence, Wilfried Grossmann, Stefanie Rinderle-Ma
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-662-46531-8
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
1 Introduction -- 2 Modeling in Business Intelligence -- 3 Data Provisioning -- 4 Data Description and Visualization -- 5 Data Mining for Cross-Sectional Data -- 6 Data Mining for Temporal Data -- 7 Process Analysis -- 8 Analysis of Multiple Business Perspectives -- 9 Summary -- A Survey on Business Intelligence Tools
Dimensions
unknown
Extent
1 online resource (xviii, 348 pages)
File format
unknown
Form of item
online
Isbn
9783662465301
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-662-46531-8
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)910964163
  • (OCoLC)ocn910964163

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