Organizing the Data Ecosystem

Arthur Langer () and Arka Mukherjee ()
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Arthur Langer: Northeastern University, Center for Technology Management and Digital Leadership
Arka Mukherjee: Global IDs

Chapter 5 in Developing a Path to Data Dominance, 2023, pp 113-141 from Springer

Abstract: 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.

Keywords: Data ecosystem; Data assets; Data organization; Data warehouse; Knowledge graphs; Metadata; Data mining (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/978-3-031-26401-6_5

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