Data accuracy assessment using enterprise architecture

  • Authors:

  • Per Narman;Hannes Holm;Pontus Johnson;Johan Konig;Moustafa Chenine;Mathias Ekstedt

  • Affiliations:

  • Industrial Information and Control Systems, Royal Institute of Technology, Stockholm, Sweden;Industrial Information and Control Systems, Royal Institute of Technology, Stockholm, Sweden;Industrial Information and Control Systems, Royal Institute of Technology, Stockholm, Sweden;Industrial Information and Control Systems, Royal Institute of Technology, Stockholm, Sweden;Industrial Information and Control Systems, Royal Institute of Technology, Stockholm, Sweden;Industrial Information and Control Systems, Royal Institute of Technology, Stockholm, Sweden

  • Venue:
  • Enterprise Information Systems - Empowering Enterprises Through Next-Generation Enterprise Computing - 13th International IEEE EDOC Conference (EDOC 2009)
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

Errors in business processes result in poor data accuracy. This article proposes an architecture analysis method which utilises ArchiMate and the Probabilistic Relational Model formalism to model and analyse data accuracy. Since the resources available for architecture analysis are usually quite scarce, the method advocates interviews as the primary data collection technique. A case study demonstrates that the method yields correct data accuracy estimates and is more resource-efficient than a competing sampling-based data accuracy estimation method.