A Data Governance Framework for Platform Ecosystem Process Management

Author(s):  
Sung Une Lee ◽  
Liming Zhu ◽  
Ross Jeffery
2020 ◽  
pp. 35-67
Author(s):  
Kristin Weber ◽  
Christiana Klingenberg

Author(s):  
Lili Aunimo ◽  
Ari V. Alamäki ◽  
Harri Ketamo

Constructing a big data governance framework is important when a company performs data-driven software development. The most important aspects of big data governance are data privacy, security, availability, usability, and integrity. In this chapter, the authors present a business case where a framework for big data governance has been built. The business case is about the development and continuous improvement of a new mobile application that is targeted for consumers. In this context, big data is used in product development, in building predictive modes related to the users and for personalization of the product. The main finding of the study is a novel big data governance framework and that a proper framework for big data governance is useful when building and maintaining trustworthy and value adding big data-driven predictive models in an authentic business environment.


2021 ◽  
Vol 19 (12) ◽  
pp. 2130-2138
Author(s):  
Juan Yebenes Serrano ◽  
Marta Zorrilla

Author(s):  
Lili Aunimo ◽  
Ari V. Alamäki ◽  
Harri Ketamo

Constructing a big data governance framework is important when a company performs data-driven software development. The most important aspects of big data governance are data privacy, security, availability, usability, and integrity. In this chapter, the authors present a business case where a framework for big data governance has been built. The business case is about the development and continuous improvement of a new mobile application that is targeted for consumers. In this context, big data is used in product development, in building predictive modes related to the users and for personalization of the product. The main finding of the study is a novel big data governance framework and that a proper framework for big data governance is useful when building and maintaining trustworthy and value adding big data-driven predictive models in an authentic business environment.


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