Abstract
The purpose of this chapter is to provide guidance on how to operationalize a data-centric environment. This requires the decomposition of many legacy applications to what is known as a functional primitive program that provides reusable functionality. In other words, these functional primitive programs represent the “Lego” parts we discussed earlier. We also provide more detail on how to design digital twins which represent the logical replication of what individuals do physically. Our emphasis is that these reusable functional primitive Lego parts must be closely coupled with the data they need to accomplish their tasks, both input data and output results. We examine the digital business technology integration layer that depicts the components of data-centric products and how they interface with the data fabric infrastructure. The data fabric provides the necessary administrative functions to support for the products to complete their operations. The chapter also discusses the minimal viable product (MVP) which is a valuable way to test-launch and test new products and services.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bosch, J. (2017). Speed, data, and ecosystems: Excelling in a software-driven world. CRC Press.
Grieves, M. (2003). Digital twin: Manufacturing excellence through virtual factory replication. (White Paper) https://www.3ds.com/fileadmin/PRODUCTS-SERVICES/DELMIA/PDF/Whitepaper/DELMIA-APRISO-Digital-Twin-Whitepaper.pdf
LaPlante, A. (2021). Data fabrics as modern data architecture. O’Reilly Media, Inc.
Murugan, S. (2020, December 25). Data-centric production development and its impact on digital transformation. https://www.linkedin.com/pulse/data-centric-product-development-its-impact-digital-saravanan-murugan/
Princen, P. (2022, February 22). What is a data catalog? Collibra. https://www.collibra.com/us/en/blog/what-is-a-data-catalog
Ries, E. (2011). The lean startup: How today’s entrepreneurs use continuous innovation to create radically successful businesses. New York: Currency Publishing.
Spiridonova, K. (2021, August 19). Best 6 minimum viable product examples and stories behind them. https://www.purrweb.com/blog/best-6-minimum-viable-product-examples-and-stories-behind-them/
Stedman, C., Burns, E., & Pratt, M. K. (2022, February). What is data preparation? An in-depth guide to data prep. Tech Accelerator. https://www.techtarget.com/searchbusinessanalytics/definition/data-preparation
Wikipedia (2022). https://en.wikipedia.org/wiki/Digital_twin
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Langer, A., Mukherjee, A. (2023). Building Data-Centric Products. In: Develo** a Path to Data Dominance. Future of Business and Finance. Springer, Cham. https://doi.org/10.1007/978-3-031-26401-6_6
Download citation
DOI: https://doi.org/10.1007/978-3-031-26401-6_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-26400-9
Online ISBN: 978-3-031-26401-6
eBook Packages: Business and ManagementBusiness and Management (R0)