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Fundamentals of Business Intelligence [recurso electrónico] $c.

Author: Wilfried Grossmann; Stefanie Rinderle-Ma
Publisher: Berlin, Heidelberg, 2015.
Series: Data-Centric Systems and Applications
Edition/Format:   eBook : EnglishView all editions and formats
Publication:Springer eBooks 2015 [recurso electrónico]
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  Read more...
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Material Type: Internet resource
Document Type: Internet Resource
All Authors / Contributors: Wilfried Grossmann; Stefanie Rinderle-Ma
ISBN: 9783662465318 3662465310
OCLC Number: 1045691198
Description: 1 recurso en línea : online resource
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.
Series Title: Data-Centric Systems and Applications

Abstract:

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 th ...

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