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A proposal for future data organization in enterprise systems—an analysis of established database approaches

Author

Listed:
  • Benedict Bender

    (University of Potsdam)

  • Clementine Bertheau

    (University of Potsdam)

  • Tim Körppen

    (University of Potsdam)

  • Hannah Lauppe

    (University of Potsdam)

  • Norbert Gronau

    (University of Potsdam)

Abstract

The digital transformation sets new requirements to all classes of enterprise systems in companies. ERP systems in particular, which represent the dominant class of enterprise systems, are struggling to meet the new requirements at all levels of the architecture. Therefore, there is an urgent need to reconsider the overall architecture of the systems and address the root of the related issues. Given that many restrictions ERP pose on their adaptability are related to the standardization of data, the database layer of ERP systems is addressed. Since database serve as the foundation for data storage and retrieval, they limit the flexibility of enterprise systems and the chance to adapt to new requirements accordingly. So far, relational databases are widely used. Using a systematic literature approach, recent requirements for ERP systems were identified. Prominent database approaches were assessed against the 23 requirements identified. The results reveal the strengths and weaknesses of recent database approaches. To this end, the results highlight the demand to combine multiple database approaches to fulfill recent business requirements. From a conceptual point of view, this paper supports the idea of federated databases which are interoperable to fulfill future requirements and support business operation. This research forms the basis for renewal of the current generation of ERP systems and proposes to ERP vendors to use different database concepts in the future.

Suggested Citation

  • Benedict Bender & Clementine Bertheau & Tim Körppen & Hannah Lauppe & Norbert Gronau, 2022. "A proposal for future data organization in enterprise systems—an analysis of established database approaches," Information Systems and e-Business Management, Springer, vol. 20(3), pages 441-494, September.
    • Handle: RePEc:spr:infsem:v:20:y:2022:i:3:d:10.1007_s10257-022-00555-6
    DOI: 10.1007/s10257-022-00555-6
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    References listed on IDEAS

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