Titlebar

Bibliographische Daten exportieren
Literatur vom gleichen Autor
plus im Publikationsserver
plus bei Google Scholar

Lesezeichen anlegen
 

Decision Support Services Based on Dynamic Digital Analyses : Quality Metrics for Financial Planning Processes

Titelangaben

Verfügbarkeit überprüfen

Martin, Jochen ; Setzer, Thomas ; Teschner, Florian ; Conte, Tobias ; Weinhardt, Christof:
Decision Support Services Based on Dynamic Digital Analyses : Quality Metrics for Financial Planning Processes.
In: Annual SRII global conference (SRII), 2012 : 24 - 27 July 2012, San Jose, California, USA. - Kalifornien, USA, 2012. - S. 130-138
ISBN 978-0-7695-4770-1 ; 978-1-4673-2318-5

Volltext

Link zum Volltext (externe URL): https://doi.org/10.1109/SRII.2012.25

Kurzfassung/Abstract

Decision making in corporate financial controlling is typically based on the aggregation of huge data sets of financial planning items stemming from a multitude of companies with heterogeneous financial planning processes and planning quality. Quality of financial planning is usually quantified by its outcome using accepted ex-post metrics such as planning accuracy or alternative derivatives of plan versus actual distances (planning errors). However, additional metrics for measuring the quality of the planning processes themselves are mandatory. First, controllers want to determine suspicious planning data and revisions that will likely result in huge planning errors. Second, the determination of flawed planning processes allows for more profound root cause analysis of poor planning accuracy. Unfortunately, nowadays controllers have little guidance on how to assess running planning processes. This is particularly true because of the complex data structure in financial planning processes often underlying unknown assumptions and dynamics. This papers discusses two ex-ante candidate-metrics for measuring the quality of financial planning, namely Benford’s Law and weak planning data efficiency. Both measures are applied to multi-year financial planning data from set of over hundred enterprises. The outcomes of numerical analysis are presented and first managerial implications regarding decision support are drawn.

Weitere Angaben

Publikationsform:Aufsatz in einem Buch
Schlagwörter:Decision Support Services; Financial Planning; Benford’s Law; Digital Analysis; Data Quality
Institutionen der Universität:Wirtschaftswissenschaftliche Fakultät > Betriebswirtschaftslehre > Lehrstuhl für Allgemeine Betriebswirtschaftslehre und Wirtschaftsinformatik
DOI / URN / ID:10.1109/SRII.2012.25
Titel an der KU entstanden:Nein
Eingestellt am:06. Okt 2020 10:06
Letzte Änderung:06. Okt 2020 16:20
URL zu dieser Anzeige:http://edoc.ku-eichstaett.de/24934/