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Why Is Data Integration So Hard?

  • Reinhold Stahl
  • Patricia Staab
Chapter

Abstract

Data integration is a multi-step process, starting with the logical centralisation of data in a common system. Then, a common order system, a unified data modelling method, is established to enable automated handling of the data. A common understanding will then be achieved through semantic harmonisation.

Data integration allows linking and subsequent processing of data from different sources. Essential for this is this three-step standardisation, which unfortunately has to overcome many obstacles. Some lie in the technology, some in the silo thinking of different parties involved. It may be concerns regarding privacy, or the lack of incentive due to seemingly low market potential. As a result, previous information technology standards for data were either industry-specific silo solutions or limited to a formal framework.

References

  1. Ariely D (2013) Facebook post on 1 Jan 2013. https://www.facebook.com/DanArielyOfficial/. Accessed 20 Feb 2017
  2. Solow R (1987) We’d better watch out. New York Times Book Review, 12 Jul 1987, p 36Google Scholar
  3. Sondergaard P (2011) Gartner says worldwide enterprise IT spending to reach $2.7 trillion in 2012. Analysts discuss key issues facing the IT industry during Gartner Symposium/ITxpo 2011, October 16–20, in Orlando. http://www.gartner.com/newsroom/id/1824919. Accessed 20 Feb 2017

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Reinhold Stahl
    • 1
  • Patricia Staab
    • 2
  1. 1.DornburgGermany
  2. 2.FrankfurtGermany

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