Business intelligence techniques can help an organization obtain and process relevant accounting data quickly and cost efficiently. Such techniques include, query and reporting tools, online analytical processing (OLAP), statistical analysis, text mining, data mining, and visualization. Business Intelligence Techniques is a compilation of chapters written by experts in these various areas. While these chapters stand of their own, taken together they provide a comprehensive overview of how to exploit accounting data in the business environment.
Auflage
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für Beruf und Forschung
Für höhere Schule und Studium
Research
Illustrationen
Maße
Höhe: 241 mm
Breite: 160 mm
Dicke: 20 mm
Gewicht
ISBN-13
978-3-540-40820-8 (9783540408208)
DOI
10.1007/978-3-540-24700-5
Schweitzer Klassifikation
1 Historical Overview of Accounting Information Systems.- 2 Importance of Data in Decision-Making.- 3 Populating the Accounting Data Warehouse.- 4 The Accounting Centric Data Warehouse TM.- 5 XBRL; A New Tool For Electronic Financial Reporting.- 6 Online Analytical Processing in Accounting.- 7 Bankruptcy Prediction Using Neural Networks.- 8 Visualization of Patterns in Accounting Data with Self-organizing Maps.- 9 Visual Representations of Accounting Information.- 10 Alignment of AIS with Business Intelligence Requirements.- 11 A Methodology for Developing Business Intelligence Systems.- 12 An 00 Approach to Designing Business Intelligence Systems.- 13 Evaluating Business Intelligence: A Balanced Scorecard Approach.- 14 A Stakeholder Model of Business Intelligence.- References.- List of Contributors.
