The Modelling of Data Dependencies for Executable Business Processes

• Autorzy: Michael Vaknin , Agata Filipowska

Warianty tytułu

Modelowanie zależności między danymi w wykonywalnych procesach biznesowych

• Języki publikacji: EN

Abstrakty

EN

Th e correctness, effectiveness, and efficiency of the business processes supported by information systems are becoming vital to organizations. Poor data quality may be the cause of losses related to organizational processes. There are numerous methods to assess and improve the quality of data within information systems. However, these methods oft en do not address the original source of these problems. Th is article presents a conceptual solution for dealing with the data quality issue within information systems. It focuses on an analysis of business processes being a source of requirements for information systems design and development. This analysis benefits information quality requirements, in order to improve data quality within systems emerging from these requirements. (original abstract)

Poprawność, skuteczność i efektywność procesów biznesowych wspomaganych przez systemy informatyczne stają się istotne dla organizacji. Słaba jakość przetwarzanych danych może prowadzić do dużych strat. W artykule przedstawiono koncepcję rozwiązania dla poprawy jakości danych w procesach biznesowych, koncentrującej się na źródle tych problemów. Dotyczy ona analizy procesów biznesowych w celu określenia wymagań dotyczących projektowania i rozwoju systemów informatycznych wspomagających wspomniane procesy. W szczególności punktem zainteresowania jest analiza relacji między danymi występującymi w procesach oraz opracowanie reguł umożliwiających automatyczną walidację modeli procesów z perspektywy przepływu danych. (abstrakt oryginalny)

Słowa kluczowe

EN

Data analysis; Databases; Quality; Information quality; Business Process Modeling; Business processes; Computer system; Information system design

PL

Analiza danych; Bazy danych; Jakość; Jakość informacji; Modelowanie procesów biznesowych; Procesy biznesowe; Systemy informatyczne; Projektowanie systemów informatycznych

• Czasopismo: Studia Oeconomica Posnaniensia
• Rocznik: 2017
• Tom: 5
• Numer: nr 12 Metody, techniki, technologie przetwarzania i analizy Big Data dla potrzeb kreowania inteligentnej gospodarki i administracji
• Strony: 107--125

Twórcy

autor

Michael Vaknin

• Zefat Academic College

autor

Agata Filipowska

• Poznań University of Economics and Business, Poland

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Identyfikatory

DOI

10.18559/SOEP.2017.12.8