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Organizing the Data Ecosystem

In: Developing a Path to Data Dominance

Author

Listed:
  • Arthur Langer

    (Northeastern University, Center for Technology Management and Digital Leadership)

  • Arka Mukherjee

    (Global IDs)

Abstract

Building on the concepts introduced in Chap. 4 , we provide a methodology on how to design digital products that use data assets in a way that can allow businesses to become more dominant in their markets. The chapter covers typical data architecture techniques, approaches, and challenges to building a robust and dependable data asset library. We focus on how to move data from the real or physical world and map that data to a logical model that was introduced in Chap. 4 . Further methods of identifying related data assets are discussed including using a semantic model to remove data ambiguity and linking data into knowledge graphs which create intelligent repositories that can support business users to apply AI searches and ML algorithms.

Suggested Citation

Handle: RePEc:spr:fuobcp:978-3-031-26401-6_5
DOI: 10.1007/978-3-031-26401-6_5
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