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Big Data Governance in Agile and Data-Driven Software Development: A Market Entry Case in the Educational Game Industry

Big Data Governance in Agile and Data-Driven Software Development: A Market Entry Case in the Educational Game Industry

Lili Aunimo, Ari V. Alamäki, Harri Ketamo
Copyright: © 2019 |Pages: 21
ISBN13: 9781522570776|ISBN10: 1522570772|ISBN13 Softcover: 9781522587019|EISBN13: 9781522570783
DOI: 10.4018/978-1-5225-7077-6.ch008
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MLA

Aunimo, Lili, et al. "Big Data Governance in Agile and Data-Driven Software Development: A Market Entry Case in the Educational Game Industry." Big Data Governance and Perspectives in Knowledge Management, edited by Sheryl Kruger Strydom and Moses Strydom, IGI Global, 2019, pp. 179-199. https://doi.org/10.4018/978-1-5225-7077-6.ch008

APA

Aunimo, L., Alamäki, A. V., & Ketamo, H. (2019). Big Data Governance in Agile and Data-Driven Software Development: A Market Entry Case in the Educational Game Industry. In S. Strydom & M. Strydom (Eds.), Big Data Governance and Perspectives in Knowledge Management (pp. 179-199). IGI Global. https://doi.org/10.4018/978-1-5225-7077-6.ch008

Chicago

Aunimo, Lili, Ari V. Alamäki, and Harri Ketamo. "Big Data Governance in Agile and Data-Driven Software Development: A Market Entry Case in the Educational Game Industry." In Big Data Governance and Perspectives in Knowledge Management, edited by Sheryl Kruger Strydom and Moses Strydom, 179-199. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-7077-6.ch008

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Abstract

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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